end-to-end-bulldozer-price-regression-final.ipynb

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  {
   "cell_type": "markdown",
   "id": "f38f6aaa",
   "metadata": {},
   "source": [
    "# Predicting the Sale Price of Bulldozers using Machine Learning"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e7b3aa01",
   "metadata": {},
   "source": [
    "<img src = \"bulldozer-new.jpg\">"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9c0fd623",
   "metadata": {},
   "source": [
    "**In this notebook, we're going to go through an example machine learning project with the goal of predicting the sale price of bulldozers.**\n",
    "\n",
    "## 1. Problem definition\n",
    "\n",
    "> How well we can predict the future sale price of a bulldozer, given its characteristics and previous examples of how much similar bulldozers have been sold for?\n",
    "\n",
    "## 2. Data\n",
    "\n",
    "The data is downloaded from  Kaggle Bluebook for Bulldozers competition!\n",
    "https://www.kaggle.com/competitions/bluebook-for-bulldozers/data\n",
    "\n",
    "Data is split into three parts:\n",
    "\n",
    "* `Train.csv` is the training set, which contains data through the end of 2011.\n",
    "* `Valid.csv` is the validation set, which contains data from January 1, 2012 - April 30, 2012 You make predictions on this set throughout the majority of the competition. Your score on this set is used to create the public leaderboard.\n",
    "* `Test.csv` is the test set, which won't be released until the last week of the competition. It contains data from May 1, 2012 - November 2012.\n",
    "\n",
    "## 3. Evaluation\n",
    "\n",
    "The evaluation metric for this project is the RMSLE (root mean squared log error) between the actual and predicted auction prices.\n",
    "\n",
    "https://www.kaggle.com/competitions/bluebook-for-bulldozers/overview/evaluation\n",
    "\n",
    "**Note:** The goal for most regression evalution metrics is to minimize the error. For example, our goal for this project will be to build a machine learning model which minimizes RMSLE.\n",
    "\n",
    "## 4. Features\n",
    "\n",
    "The features can be seen below alog with their description:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "aff80c11",
   "metadata": {},
   "outputs": [
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       "</style>\n",
       "<table id=\"T_ed7fa\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_ed7fa_level0_col0\" class=\"col_heading level0 col0\" >Variable</th>\n",
       "      <th id=\"T_ed7fa_level0_col1\" class=\"col_heading level0 col1\" >Description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "      <td id=\"T_ed7fa_row0_col0\" class=\"data row0 col0\" >SalesID</td>\n",
       "      <td id=\"T_ed7fa_row0_col1\" class=\"data row0 col1\" >  unique identifier of a particular sale of a machine at auction</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "      <td id=\"T_ed7fa_row1_col0\" class=\"data row1 col0\" >MachineID</td>\n",
       "      <td id=\"T_ed7fa_row1_col1\" class=\"data row1 col1\" >  identifier for a particular machine;  machines may have multiple sales</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "      <td id=\"T_ed7fa_row2_col0\" class=\"data row2 col0\" >ModelID</td>\n",
       "      <td id=\"T_ed7fa_row2_col1\" class=\"data row2 col1\" >  identifier for a unique machine model (i.e. fiModelDesc)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "      <td id=\"T_ed7fa_row3_col0\" class=\"data row3 col0\" >datasource</td>\n",
       "      <td id=\"T_ed7fa_row3_col1\" class=\"data row3 col1\" >  source of the sale record;  some sources are more diligent about reporting attributes of the machine than others.  Note that a particular datasource may report on multiple auctioneerIDs.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "      <td id=\"T_ed7fa_row4_col0\" class=\"data row4 col0\" >auctioneerID</td>\n",
       "      <td id=\"T_ed7fa_row4_col1\" class=\"data row4 col1\" >  identifier of a particular auctioneer, i.e. company that sold the machine at auction.  Not the same as datasource.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "      <td id=\"T_ed7fa_row5_col0\" class=\"data row5 col0\" >YearMade</td>\n",
       "      <td id=\"T_ed7fa_row5_col1\" class=\"data row5 col1\" >  year of manufacturer of the Machine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "      <td id=\"T_ed7fa_row6_col0\" class=\"data row6 col0\" >MachineHoursCurrentMeter</td>\n",
       "      <td id=\"T_ed7fa_row6_col1\" class=\"data row6 col1\" >  current usage of the machine in hours at time of sale (saledate);  null or 0 means no hours have been reported for that sale</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "      <td id=\"T_ed7fa_row7_col0\" class=\"data row7 col0\" >UsageBand</td>\n",
       "      <td id=\"T_ed7fa_row7_col1\" class=\"data row7 col1\" >  value (low, medium, high) calculated comparing this particular Machine-Sale hours to average usage for the fiBaseModel;  e.g. 'Low' means this machine has less hours given it's lifespan relative to average of fiBaseModel.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "      <td id=\"T_ed7fa_row8_col0\" class=\"data row8 col0\" >Saledate</td>\n",
       "      <td id=\"T_ed7fa_row8_col1\" class=\"data row8 col1\" >  time of sale</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
       "      <td id=\"T_ed7fa_row9_col0\" class=\"data row9 col0\" >Saleprice</td>\n",
       "      <td id=\"T_ed7fa_row9_col1\" class=\"data row9 col1\" >  cost of sale in USD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row10\" class=\"row_heading level0 row10\" >10</th>\n",
       "      <td id=\"T_ed7fa_row10_col0\" class=\"data row10 col0\" >fiModelDesc</td>\n",
       "      <td id=\"T_ed7fa_row10_col1\" class=\"data row10 col1\" >  Description of a unique machine model (see ModelID); concatenation of fiBaseModel & fiSecondaryDesc & fiModelSeries & fiModelDescriptor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row11\" class=\"row_heading level0 row11\" >11</th>\n",
       "      <td id=\"T_ed7fa_row11_col0\" class=\"data row11 col0\" >fiBaseModel</td>\n",
       "      <td id=\"T_ed7fa_row11_col1\" class=\"data row11 col1\" >  disaggregation of fiModelDesc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row12\" class=\"row_heading level0 row12\" >12</th>\n",
       "      <td id=\"T_ed7fa_row12_col0\" class=\"data row12 col0\" >fiSecondaryDesc</td>\n",
       "      <td id=\"T_ed7fa_row12_col1\" class=\"data row12 col1\" >  disaggregation of fiModelDesc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row13\" class=\"row_heading level0 row13\" >13</th>\n",
       "      <td id=\"T_ed7fa_row13_col0\" class=\"data row13 col0\" >fiModelSeries</td>\n",
       "      <td id=\"T_ed7fa_row13_col1\" class=\"data row13 col1\" >  disaggregation of fiModelDesc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row14\" class=\"row_heading level0 row14\" >14</th>\n",
       "      <td id=\"T_ed7fa_row14_col0\" class=\"data row14 col0\" >fiModelDescriptor</td>\n",
       "      <td id=\"T_ed7fa_row14_col1\" class=\"data row14 col1\" >  disaggregation of fiModelDesc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row15\" class=\"row_heading level0 row15\" >15</th>\n",
       "      <td id=\"T_ed7fa_row15_col0\" class=\"data row15 col0\" >ProductSize</td>\n",
       "      <td id=\"T_ed7fa_row15_col1\" class=\"data row15 col1\" >The size class grouping for a product group. Subsets within product group. </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row16\" class=\"row_heading level0 row16\" >16</th>\n",
       "      <td id=\"T_ed7fa_row16_col0\" class=\"data row16 col0\" >ProductClassDesc</td>\n",
       "      <td id=\"T_ed7fa_row16_col1\" class=\"data row16 col1\" >  description of 2nd level hierarchical grouping (below ProductGroup) of fiModelDesc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row17\" class=\"row_heading level0 row17\" >17</th>\n",
       "      <td id=\"T_ed7fa_row17_col0\" class=\"data row17 col0\" >State</td>\n",
       "      <td id=\"T_ed7fa_row17_col1\" class=\"data row17 col1\" >  US State in which sale occurred</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row18\" class=\"row_heading level0 row18\" >18</th>\n",
       "      <td id=\"T_ed7fa_row18_col0\" class=\"data row18 col0\" >ProductGroup</td>\n",
       "      <td id=\"T_ed7fa_row18_col1\" class=\"data row18 col1\" >  identifier for top-level hierarchical grouping of fiModelDesc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row19\" class=\"row_heading level0 row19\" >19</th>\n",
       "      <td id=\"T_ed7fa_row19_col0\" class=\"data row19 col0\" >ProductGroupDesc</td>\n",
       "      <td id=\"T_ed7fa_row19_col1\" class=\"data row19 col1\" >  description of top-level hierarchical grouping of fiModelDesc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row20\" class=\"row_heading level0 row20\" >20</th>\n",
       "      <td id=\"T_ed7fa_row20_col0\" class=\"data row20 col0\" >Drive_System</td>\n",
       "      <td id=\"T_ed7fa_row20_col1\" class=\"data row20 col1\" >machine configuration;  typcially describes whether 2 or 4 wheel drive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row21\" class=\"row_heading level0 row21\" >21</th>\n",
       "      <td id=\"T_ed7fa_row21_col0\" class=\"data row21 col0\" >Enclosure</td>\n",
       "      <td id=\"T_ed7fa_row21_col1\" class=\"data row21 col1\" >machine configuration - does machine have an enclosed cab or not</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row22\" class=\"row_heading level0 row22\" >22</th>\n",
       "      <td id=\"T_ed7fa_row22_col0\" class=\"data row22 col0\" >Forks</td>\n",
       "      <td id=\"T_ed7fa_row22_col1\" class=\"data row22 col1\" >machine configuration - attachment used for lifting</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row23\" class=\"row_heading level0 row23\" >23</th>\n",
       "      <td id=\"T_ed7fa_row23_col0\" class=\"data row23 col0\" >Pad_Type</td>\n",
       "      <td id=\"T_ed7fa_row23_col1\" class=\"data row23 col1\" >machine configuration - type of treads a crawler machine uses</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row24\" class=\"row_heading level0 row24\" >24</th>\n",
       "      <td id=\"T_ed7fa_row24_col0\" class=\"data row24 col0\" >Ride_Control</td>\n",
       "      <td id=\"T_ed7fa_row24_col1\" class=\"data row24 col1\" >machine configuration - optional feature on loaders to make the ride smoother</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row25\" class=\"row_heading level0 row25\" >25</th>\n",
       "      <td id=\"T_ed7fa_row25_col0\" class=\"data row25 col0\" >Stick</td>\n",
       "      <td id=\"T_ed7fa_row25_col1\" class=\"data row25 col1\" >machine configuration - type of control </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row26\" class=\"row_heading level0 row26\" >26</th>\n",
       "      <td id=\"T_ed7fa_row26_col0\" class=\"data row26 col0\" >Transmission</td>\n",
       "      <td id=\"T_ed7fa_row26_col1\" class=\"data row26 col1\" >machine configuration - describes type of transmission;  typically automatic or manual</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row27\" class=\"row_heading level0 row27\" >27</th>\n",
       "      <td id=\"T_ed7fa_row27_col0\" class=\"data row27 col0\" >Turbocharged</td>\n",
       "      <td id=\"T_ed7fa_row27_col1\" class=\"data row27 col1\" >machine configuration - engine naturally aspirated or turbocharged</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row28\" class=\"row_heading level0 row28\" >28</th>\n",
       "      <td id=\"T_ed7fa_row28_col0\" class=\"data row28 col0\" >Blade_Extension</td>\n",
       "      <td id=\"T_ed7fa_row28_col1\" class=\"data row28 col1\" >machine configuration - extension of standard blade</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row29\" class=\"row_heading level0 row29\" >29</th>\n",
       "      <td id=\"T_ed7fa_row29_col0\" class=\"data row29 col0\" >Blade_Width</td>\n",
       "      <td id=\"T_ed7fa_row29_col1\" class=\"data row29 col1\" >machine configuration - width of blade</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row30\" class=\"row_heading level0 row30\" >30</th>\n",
       "      <td id=\"T_ed7fa_row30_col0\" class=\"data row30 col0\" >Enclosure_Type</td>\n",
       "      <td id=\"T_ed7fa_row30_col1\" class=\"data row30 col1\" >machine configuration - does machine have an enclosed cab or not</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row31\" class=\"row_heading level0 row31\" >31</th>\n",
       "      <td id=\"T_ed7fa_row31_col0\" class=\"data row31 col0\" >Engine_Horsepower</td>\n",
       "      <td id=\"T_ed7fa_row31_col1\" class=\"data row31 col1\" >machine configuration - engine horsepower rating</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row32\" class=\"row_heading level0 row32\" >32</th>\n",
       "      <td id=\"T_ed7fa_row32_col0\" class=\"data row32 col0\" >Hydraulics</td>\n",
       "      <td id=\"T_ed7fa_row32_col1\" class=\"data row32 col1\" >machine configuration - type of hydraulics</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row33\" class=\"row_heading level0 row33\" >33</th>\n",
       "      <td id=\"T_ed7fa_row33_col0\" class=\"data row33 col0\" >Pushblock</td>\n",
       "      <td id=\"T_ed7fa_row33_col1\" class=\"data row33 col1\" >machine configuration - option</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row34\" class=\"row_heading level0 row34\" >34</th>\n",
       "      <td id=\"T_ed7fa_row34_col0\" class=\"data row34 col0\" >Ripper</td>\n",
       "      <td id=\"T_ed7fa_row34_col1\" class=\"data row34 col1\" >machine configuration - implement attached to machine to till soil</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row35\" class=\"row_heading level0 row35\" >35</th>\n",
       "      <td id=\"T_ed7fa_row35_col0\" class=\"data row35 col0\" >Scarifier</td>\n",
       "      <td id=\"T_ed7fa_row35_col1\" class=\"data row35 col1\" >machine configuration - implement attached to machine to condition soil</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row36\" class=\"row_heading level0 row36\" >36</th>\n",
       "      <td id=\"T_ed7fa_row36_col0\" class=\"data row36 col0\" >Tip_control</td>\n",
       "      <td id=\"T_ed7fa_row36_col1\" class=\"data row36 col1\" >machine configuration - type of blade control</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row37\" class=\"row_heading level0 row37\" >37</th>\n",
       "      <td id=\"T_ed7fa_row37_col0\" class=\"data row37 col0\" >Tire_Size</td>\n",
       "      <td id=\"T_ed7fa_row37_col1\" class=\"data row37 col1\" >machine configuration - size of primary tires</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row38\" class=\"row_heading level0 row38\" >38</th>\n",
       "      <td id=\"T_ed7fa_row38_col0\" class=\"data row38 col0\" >Coupler</td>\n",
       "      <td id=\"T_ed7fa_row38_col1\" class=\"data row38 col1\" >machine configuration - type of implement interface</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row39\" class=\"row_heading level0 row39\" >39</th>\n",
       "      <td id=\"T_ed7fa_row39_col0\" class=\"data row39 col0\" >Coupler_System</td>\n",
       "      <td id=\"T_ed7fa_row39_col1\" class=\"data row39 col1\" >machine configuration - type of implement interface</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row40\" class=\"row_heading level0 row40\" >40</th>\n",
       "      <td id=\"T_ed7fa_row40_col0\" class=\"data row40 col0\" >Grouser_Tracks</td>\n",
       "      <td id=\"T_ed7fa_row40_col1\" class=\"data row40 col1\" >machine configuration - describes ground contact interface</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row41\" class=\"row_heading level0 row41\" >41</th>\n",
       "      <td id=\"T_ed7fa_row41_col0\" class=\"data row41 col0\" >Hydraulics_Flow</td>\n",
       "      <td id=\"T_ed7fa_row41_col1\" class=\"data row41 col1\" >machine configuration - normal or high flow hydraulic system</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row42\" class=\"row_heading level0 row42\" >42</th>\n",
       "      <td id=\"T_ed7fa_row42_col0\" class=\"data row42 col0\" >Track_Type</td>\n",
       "      <td id=\"T_ed7fa_row42_col1\" class=\"data row42 col1\" >machine configuration - type of treads a crawler machine uses</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row43\" class=\"row_heading level0 row43\" >43</th>\n",
       "      <td id=\"T_ed7fa_row43_col0\" class=\"data row43 col0\" >Undercarriage_Pad_Width</td>\n",
       "      <td id=\"T_ed7fa_row43_col1\" class=\"data row43 col1\" >machine configuration - width of crawler treads</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row44\" class=\"row_heading level0 row44\" >44</th>\n",
       "      <td id=\"T_ed7fa_row44_col0\" class=\"data row44 col0\" >Stick_Length</td>\n",
       "      <td id=\"T_ed7fa_row44_col1\" class=\"data row44 col1\" >machine configuration - length of machine digging implement</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row45\" class=\"row_heading level0 row45\" >45</th>\n",
       "      <td id=\"T_ed7fa_row45_col0\" class=\"data row45 col0\" >Thumb</td>\n",
       "      <td id=\"T_ed7fa_row45_col1\" class=\"data row45 col1\" >machine configuration - attachment used for grabbing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row46\" class=\"row_heading level0 row46\" >46</th>\n",
       "      <td id=\"T_ed7fa_row46_col0\" class=\"data row46 col0\" >Pattern_Changer</td>\n",
       "      <td id=\"T_ed7fa_row46_col1\" class=\"data row46 col1\" >machine configuration - can adjust the operator control configuration to suit the user</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row47\" class=\"row_heading level0 row47\" >47</th>\n",
       "      <td id=\"T_ed7fa_row47_col0\" class=\"data row47 col0\" >Grouser_Type</td>\n",
       "      <td id=\"T_ed7fa_row47_col1\" class=\"data row47 col1\" >machine configuration - type of treads a crawler machine uses</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row48\" class=\"row_heading level0 row48\" >48</th>\n",
       "      <td id=\"T_ed7fa_row48_col0\" class=\"data row48 col0\" >Backhoe_Mounting</td>\n",
       "      <td id=\"T_ed7fa_row48_col1\" class=\"data row48 col1\" >machine configuration - optional interface used to add a backhoe attachment</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row49\" class=\"row_heading level0 row49\" >49</th>\n",
       "      <td id=\"T_ed7fa_row49_col0\" class=\"data row49 col0\" >Blade_Type</td>\n",
       "      <td id=\"T_ed7fa_row49_col1\" class=\"data row49 col1\" >machine configuration - describes type of blade</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row50\" class=\"row_heading level0 row50\" >50</th>\n",
       "      <td id=\"T_ed7fa_row50_col0\" class=\"data row50 col0\" >Travel_Controls</td>\n",
       "      <td id=\"T_ed7fa_row50_col1\" class=\"data row50 col1\" >machine configuration - describes operator control configuration</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row51\" class=\"row_heading level0 row51\" >51</th>\n",
       "      <td id=\"T_ed7fa_row51_col0\" class=\"data row51 col0\" >Differential_Type</td>\n",
       "      <td id=\"T_ed7fa_row51_col1\" class=\"data row51 col1\" >machine configuration - differential type, typically locking or standard</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ed7fa_level0_row52\" class=\"row_heading level0 row52\" >52</th>\n",
       "      <td id=\"T_ed7fa_row52_col0\" class=\"data row52 col0\" >Steering_Controls</td>\n",
       "      <td id=\"T_ed7fa_row52_col1\" class=\"data row52 col1\" >machine configuration - describes operator control configuration</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x1f8e96df2d0>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "pd.set_option('max_colwidth', 500)\n",
    "features = pd.read_csv(\"data/bluebook-for-bulldozers/Data-Dictionary.csv\")\n",
    "features.style.set_properties(**{'text-align': 'left'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "5d20f51b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import Libraries\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import sklearn\n",
    "import warnings"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fd557eef",
   "metadata": {},
   "source": [
    "## Performing EDA on the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "dfe2fd43",
   "metadata": {},
   "outputs": [],
   "source": [
    "# importing training and validation sets\n",
    "df = pd.read_csv(\"data/bluebook-for-bulldozers/TrainAndValid.csv\", low_memory=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7ecbaa05",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 412698 entries, 0 to 412697\n",
      "Data columns (total 53 columns):\n",
      " #   Column                    Non-Null Count   Dtype  \n",
      "---  ------                    --------------   -----  \n",
      " 0   SalesID                   412698 non-null  int64  \n",
      " 1   SalePrice                 412698 non-null  float64\n",
      " 2   MachineID                 412698 non-null  int64  \n",
      " 3   ModelID                   412698 non-null  int64  \n",
      " 4   datasource                412698 non-null  int64  \n",
      " 5   auctioneerID              392562 non-null  float64\n",
      " 6   YearMade                  412698 non-null  int64  \n",
      " 7   MachineHoursCurrentMeter  147504 non-null  float64\n",
      " 8   UsageBand                 73670 non-null   object \n",
      " 9   saledate                  412698 non-null  object \n",
      " 10  fiModelDesc               412698 non-null  object \n",
      " 11  fiBaseModel               412698 non-null  object \n",
      " 12  fiSecondaryDesc           271971 non-null  object \n",
      " 13  fiModelSeries             58667 non-null   object \n",
      " 14  fiModelDescriptor         74816 non-null   object \n",
      " 15  ProductSize               196093 non-null  object \n",
      " 16  fiProductClassDesc        412698 non-null  object \n",
      " 17  state                     412698 non-null  object \n",
      " 18  ProductGroup              412698 non-null  object \n",
      " 19  ProductGroupDesc          412698 non-null  object \n",
      " 20  Drive_System              107087 non-null  object \n",
      " 21  Enclosure                 412364 non-null  object \n",
      " 22  Forks                     197715 non-null  object \n",
      " 23  Pad_Type                  81096 non-null   object \n",
      " 24  Ride_Control              152728 non-null  object \n",
      " 25  Stick                     81096 non-null   object \n",
      " 26  Transmission              188007 non-null  object \n",
      " 27  Turbocharged              81096 non-null   object \n",
      " 28  Blade_Extension           25983 non-null   object \n",
      " 29  Blade_Width               25983 non-null   object \n",
      " 30  Enclosure_Type            25983 non-null   object \n",
      " 31  Engine_Horsepower         25983 non-null   object \n",
      " 32  Hydraulics                330133 non-null  object \n",
      " 33  Pushblock                 25983 non-null   object \n",
      " 34  Ripper                    106945 non-null  object \n",
      " 35  Scarifier                 25994 non-null   object \n",
      " 36  Tip_Control               25983 non-null   object \n",
      " 37  Tire_Size                 97638 non-null   object \n",
      " 38  Coupler                   220679 non-null  object \n",
      " 39  Coupler_System            44974 non-null   object \n",
      " 40  Grouser_Tracks            44875 non-null   object \n",
      " 41  Hydraulics_Flow           44875 non-null   object \n",
      " 42  Track_Type                102193 non-null  object \n",
      " 43  Undercarriage_Pad_Width   102916 non-null  object \n",
      " 44  Stick_Length              102261 non-null  object \n",
      " 45  Thumb                     102332 non-null  object \n",
      " 46  Pattern_Changer           102261 non-null  object \n",
      " 47  Grouser_Type              102193 non-null  object \n",
      " 48  Backhoe_Mounting          80712 non-null   object \n",
      " 49  Blade_Type                81875 non-null   object \n",
      " 50  Travel_Controls           81877 non-null   object \n",
      " 51  Differential_Type         71564 non-null   object \n",
      " 52  Steering_Controls         71522 non-null   object \n",
      "dtypes: float64(3), int64(5), object(45)\n",
      "memory usage: 166.9+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6eb19b14",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SalesID                          0\n",
       "SalePrice                        0\n",
       "MachineID                        0\n",
       "ModelID                          0\n",
       "datasource                       0\n",
       "auctioneerID                 20136\n",
       "YearMade                         0\n",
       "MachineHoursCurrentMeter    265194\n",
       "UsageBand                   339028\n",
       "saledate                         0\n",
       "fiModelDesc                      0\n",
       "fiBaseModel                      0\n",
       "fiSecondaryDesc             140727\n",
       "fiModelSeries               354031\n",
       "fiModelDescriptor           337882\n",
       "ProductSize                 216605\n",
       "fiProductClassDesc               0\n",
       "state                            0\n",
       "ProductGroup                     0\n",
       "ProductGroupDesc                 0\n",
       "Drive_System                305611\n",
       "Enclosure                      334\n",
       "Forks                       214983\n",
       "Pad_Type                    331602\n",
       "Ride_Control                259970\n",
       "Stick                       331602\n",
       "Transmission                224691\n",
       "Turbocharged                331602\n",
       "Blade_Extension             386715\n",
       "Blade_Width                 386715\n",
       "Enclosure_Type              386715\n",
       "Engine_Horsepower           386715\n",
       "Hydraulics                   82565\n",
       "Pushblock                   386715\n",
       "Ripper                      305753\n",
       "Scarifier                   386704\n",
       "Tip_Control                 386715\n",
       "Tire_Size                   315060\n",
       "Coupler                     192019\n",
       "Coupler_System              367724\n",
       "Grouser_Tracks              367823\n",
       "Hydraulics_Flow             367823\n",
       "Track_Type                  310505\n",
       "Undercarriage_Pad_Width     309782\n",
       "Stick_Length                310437\n",
       "Thumb                       310366\n",
       "Pattern_Changer             310437\n",
       "Grouser_Type                310505\n",
       "Backhoe_Mounting            331986\n",
       "Blade_Type                  330823\n",
       "Travel_Controls             330821\n",
       "Differential_Type           341134\n",
       "Steering_Controls           341176\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "6dea294e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.scatter(df[\"saledate\"][:1000], df[\"SalePrice\"][:1000]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ac3dc100",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.SalePrice.plot.hist();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "649afa2e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      11/16/2006 0:00\n",
       "1       3/26/2004 0:00\n",
       "2       2/26/2004 0:00\n",
       "3       5/19/2011 0:00\n",
       "4       7/23/2009 0:00\n",
       "            ...       \n",
       "995     7/16/2009 0:00\n",
       "996     6/14/2007 0:00\n",
       "997     9/22/2005 0:00\n",
       "998     7/28/2005 0:00\n",
       "999     6/16/2011 0:00\n",
       "Name: saledate, Length: 1000, dtype: object"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.saledate[:1000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "2a7e6410",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['SalesID', 'SalePrice', 'MachineID', 'ModelID', 'datasource',\n",
       "       'auctioneerID', 'YearMade', 'MachineHoursCurrentMeter', 'UsageBand',\n",
       "       'saledate', 'fiModelDesc', 'fiBaseModel', 'fiSecondaryDesc',\n",
       "       'fiModelSeries', 'fiModelDescriptor', 'ProductSize',\n",
       "       'fiProductClassDesc', 'state', 'ProductGroup', 'ProductGroupDesc',\n",
       "       'Drive_System', 'Enclosure', 'Forks', 'Pad_Type', 'Ride_Control',\n",
       "       'Stick', 'Transmission', 'Turbocharged', 'Blade_Extension',\n",
       "       'Blade_Width', 'Enclosure_Type', 'Engine_Horsepower', 'Hydraulics',\n",
       "       'Pushblock', 'Ripper', 'Scarifier', 'Tip_Control', 'Tire_Size',\n",
       "       'Coupler', 'Coupler_System', 'Grouser_Tracks', 'Hydraulics_Flow',\n",
       "       'Track_Type', 'Undercarriage_Pad_Width', 'Stick_Length', 'Thumb',\n",
       "       'Pattern_Changer', 'Grouser_Type', 'Backhoe_Mounting', 'Blade_Type',\n",
       "       'Travel_Controls', 'Differential_Type', 'Steering_Controls'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3a525ecd",
   "metadata": {},
   "source": [
    "## Parsing dates\n",
    "\n",
    "When we work with time series data, we want to enrich the time & date component as much as possible.\n",
    "\n",
    "We can do that by telling pandas which of our columns has dates in it using the `parse_dates` parameter."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "2be4c0d7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import data again but this time parse dates\n",
    "df = pd.read_csv(\"data/bluebook-for-bulldozers/TrainAndValid.csv\",\n",
    "                low_memory = False,\n",
    "                parse_dates = [\"saledate\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "4f2e3da0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('<M8[ns]')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.saledate.dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "df2058fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0   2006-11-16\n",
       "1   2004-03-26\n",
       "2   2004-02-26\n",
       "3   2011-05-19\n",
       "4   2009-07-23\n",
       "5   2008-12-18\n",
       "6   2004-08-26\n",
       "7   2005-11-17\n",
       "8   2009-08-27\n",
       "9   2007-08-09\n",
       "Name: saledate, dtype: datetime64[ns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.saledate[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e595d987",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.scatter(df[\"saledate\"][:1000], df[\"SalePrice\"][:1000]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "fecdc155",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SalesID</th>\n",
       "      <th>SalePrice</th>\n",
       "      <th>MachineID</th>\n",
       "      <th>ModelID</th>\n",
       "      <th>datasource</th>\n",
       "      <th>auctioneerID</th>\n",
       "      <th>YearMade</th>\n",
       "      <th>MachineHoursCurrentMeter</th>\n",
       "      <th>UsageBand</th>\n",
       "      <th>saledate</th>\n",
       "      <th>...</th>\n",
       "      <th>Undercarriage_Pad_Width</th>\n",
       "      <th>Stick_Length</th>\n",
       "      <th>Thumb</th>\n",
       "      <th>Pattern_Changer</th>\n",
       "      <th>Grouser_Type</th>\n",
       "      <th>Backhoe_Mounting</th>\n",
       "      <th>Blade_Type</th>\n",
       "      <th>Travel_Controls</th>\n",
       "      <th>Differential_Type</th>\n",
       "      <th>Steering_Controls</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1139246</td>\n",
       "      <td>66000.0</td>\n",
       "      <td>999089</td>\n",
       "      <td>3157</td>\n",
       "      <td>121</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2004</td>\n",
       "      <td>68.0</td>\n",
       "      <td>Low</td>\n",
       "      <td>2006-11-16</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Standard</td>\n",
       "      <td>Conventional</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1139248</td>\n",
       "      <td>57000.0</td>\n",
       "      <td>117657</td>\n",
       "      <td>77</td>\n",
       "      <td>121</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1996</td>\n",
       "      <td>4640.0</td>\n",
       "      <td>Low</td>\n",
       "      <td>2004-03-26</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Standard</td>\n",
       "      <td>Conventional</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1139249</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>434808</td>\n",
       "      <td>7009</td>\n",
       "      <td>121</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2001</td>\n",
       "      <td>2838.0</td>\n",
       "      <td>High</td>\n",
       "      <td>2004-02-26</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1139251</td>\n",
       "      <td>38500.0</td>\n",
       "      <td>1026470</td>\n",
       "      <td>332</td>\n",
       "      <td>121</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2001</td>\n",
       "      <td>3486.0</td>\n",
       "      <td>High</td>\n",
       "      <td>2011-05-19</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1139253</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>1057373</td>\n",
       "      <td>17311</td>\n",
       "      <td>121</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2007</td>\n",
       "      <td>722.0</td>\n",
       "      <td>Medium</td>\n",
       "      <td>2009-07-23</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 53 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   SalesID  SalePrice  MachineID  ModelID  datasource  auctioneerID  YearMade  \\\n",
       "0  1139246    66000.0     999089     3157         121           3.0      2004   \n",
       "1  1139248    57000.0     117657       77         121           3.0      1996   \n",
       "2  1139249    10000.0     434808     7009         121           3.0      2001   \n",
       "3  1139251    38500.0    1026470      332         121           3.0      2001   \n",
       "4  1139253    11000.0    1057373    17311         121           3.0      2007   \n",
       "\n",
       "   MachineHoursCurrentMeter UsageBand   saledate  ... Undercarriage_Pad_Width  \\\n",
       "0                      68.0       Low 2006-11-16  ...                     NaN   \n",
       "1                    4640.0       Low 2004-03-26  ...                     NaN   \n",
       "2                    2838.0      High 2004-02-26  ...                     NaN   \n",
       "3                    3486.0      High 2011-05-19  ...                     NaN   \n",
       "4                     722.0    Medium 2009-07-23  ...                     NaN   \n",
       "\n",
       "  Stick_Length Thumb Pattern_Changer Grouser_Type Backhoe_Mounting Blade_Type  \\\n",
       "0          NaN   NaN             NaN          NaN              NaN        NaN   \n",
       "1          NaN   NaN             NaN          NaN              NaN        NaN   \n",
       "2          NaN   NaN             NaN          NaN              NaN        NaN   \n",
       "3          NaN   NaN             NaN          NaN              NaN        NaN   \n",
       "4          NaN   NaN             NaN          NaN              NaN        NaN   \n",
       "\n",
       "  Travel_Controls Differential_Type Steering_Controls  \n",
       "0             NaN          Standard      Conventional  \n",
       "1             NaN          Standard      Conventional  \n",
       "2             NaN               NaN               NaN  \n",
       "3             NaN               NaN               NaN  \n",
       "4             NaN               NaN               NaN  \n",
       "\n",
       "[5 rows x 53 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "4c396b1c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>SalesID</th>\n",
       "      <td>1139246</td>\n",
       "      <td>1139248</td>\n",
       "      <td>1139249</td>\n",
       "      <td>1139251</td>\n",
       "      <td>1139253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SalePrice</th>\n",
       "      <td>66000.0</td>\n",
       "      <td>57000.0</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>38500.0</td>\n",
       "      <td>11000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MachineID</th>\n",
       "      <td>999089</td>\n",
       "      <td>117657</td>\n",
       "      <td>434808</td>\n",
       "      <td>1026470</td>\n",
       "      <td>1057373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ModelID</th>\n",
       "      <td>3157</td>\n",
       "      <td>77</td>\n",
       "      <td>7009</td>\n",
       "      <td>332</td>\n",
       "      <td>17311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datasource</th>\n",
       "      <td>121</td>\n",
       "      <td>121</td>\n",
       "      <td>121</td>\n",
       "      <td>121</td>\n",
       "      <td>121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>auctioneerID</th>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YearMade</th>\n",
       "      <td>2004</td>\n",
       "      <td>1996</td>\n",
       "      <td>2001</td>\n",
       "      <td>2001</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MachineHoursCurrentMeter</th>\n",
       "      <td>68.0</td>\n",
       "      <td>4640.0</td>\n",
       "      <td>2838.0</td>\n",
       "      <td>3486.0</td>\n",
       "      <td>722.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UsageBand</th>\n",
       "      <td>Low</td>\n",
       "      <td>Low</td>\n",
       "      <td>High</td>\n",
       "      <td>High</td>\n",
       "      <td>Medium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>saledate</th>\n",
       "      <td>2006-11-16 00:00:00</td>\n",
       "      <td>2004-03-26 00:00:00</td>\n",
       "      <td>2004-02-26 00:00:00</td>\n",
       "      <td>2011-05-19 00:00:00</td>\n",
       "      <td>2009-07-23 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fiModelDesc</th>\n",
       "      <td>521D</td>\n",
       "      <td>950FII</td>\n",
       "      <td>226</td>\n",
       "      <td>PC120-6E</td>\n",
       "      <td>S175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fiBaseModel</th>\n",
       "      <td>521</td>\n",
       "      <td>950</td>\n",
       "      <td>226</td>\n",
       "      <td>PC120</td>\n",
       "      <td>S175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fiSecondaryDesc</th>\n",
       "      <td>D</td>\n",
       "      <td>F</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fiModelSeries</th>\n",
       "      <td>NaN</td>\n",
       "      <td>II</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-6E</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fiModelDescriptor</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ProductSize</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Medium</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Small</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fiProductClassDesc</th>\n",
       "      <td>Wheel Loader - 110.0 to 120.0 Horsepower</td>\n",
       "      <td>Wheel Loader - 150.0 to 175.0 Horsepower</td>\n",
       "      <td>Skid Steer Loader - 1351.0 to 1601.0 Lb Operating Capacity</td>\n",
       "      <td>Hydraulic Excavator, Track - 12.0 to 14.0 Metric Tons</td>\n",
       "      <td>Skid Steer Loader - 1601.0 to 1751.0 Lb Operating Capacity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>state</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>North Carolina</td>\n",
       "      <td>New York</td>\n",
       "      <td>Texas</td>\n",
       "      <td>New York</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ProductGroup</th>\n",
       "      <td>WL</td>\n",
       "      <td>WL</td>\n",
       "      <td>SSL</td>\n",
       "      <td>TEX</td>\n",
       "      <td>SSL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ProductGroupDesc</th>\n",
       "      <td>Wheel Loader</td>\n",
       "      <td>Wheel Loader</td>\n",
       "      <td>Skid Steer Loaders</td>\n",
       "      <td>Track Excavators</td>\n",
       "      <td>Skid Steer Loaders</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drive_System</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Enclosure</th>\n",
       "      <td>EROPS w AC</td>\n",
       "      <td>EROPS w AC</td>\n",
       "      <td>OROPS</td>\n",
       "      <td>EROPS w AC</td>\n",
       "      <td>EROPS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Forks</th>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pad_Type</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ride_Control</th>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stick</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Transmission</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Turbocharged</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Blade_Extension</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Blade_Width</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Enclosure_Type</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Engine_Horsepower</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hydraulics</th>\n",
       "      <td>2 Valve</td>\n",
       "      <td>2 Valve</td>\n",
       "      <td>Auxiliary</td>\n",
       "      <td>2 Valve</td>\n",
       "      <td>Auxiliary</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pushblock</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ripper</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Scarifier</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tip_Control</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tire_Size</th>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>23.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Coupler</th>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>None or Unspecified</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Coupler_System</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Grouser_Tracks</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hydraulics_Flow</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Standard</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Standard</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Track_Type</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Undercarriage_Pad_Width</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stick_Length</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thumb</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pattern_Changer</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Grouser_Type</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Backhoe_Mounting</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Blade_Type</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Travel_Controls</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Differential_Type</th>\n",
       "      <td>Standard</td>\n",
       "      <td>Standard</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Steering_Controls</th>\n",
       "      <td>Conventional</td>\n",
       "      <td>Conventional</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                 0  \\\n",
       "SalesID                                                    1139246   \n",
       "SalePrice                                                  66000.0   \n",
       "MachineID                                                   999089   \n",
       "ModelID                                                       3157   \n",
       "datasource                                                     121   \n",
       "auctioneerID                                                   3.0   \n",
       "YearMade                                                      2004   \n",
       "MachineHoursCurrentMeter                                      68.0   \n",
       "UsageBand                                                      Low   \n",
       "saledate                                       2006-11-16 00:00:00   \n",
       "fiModelDesc                                                   521D   \n",
       "fiBaseModel                                                    521   \n",
       "fiSecondaryDesc                                                  D   \n",
       "fiModelSeries                                                  NaN   \n",
       "fiModelDescriptor                                              NaN   \n",
       "ProductSize                                                    NaN   \n",
       "fiProductClassDesc        Wheel Loader - 110.0 to 120.0 Horsepower   \n",
       "state                                                      Alabama   \n",
       "ProductGroup                                                    WL   \n",
       "ProductGroupDesc                                      Wheel Loader   \n",
       "Drive_System                                                   NaN   \n",
       "Enclosure                                               EROPS w AC   \n",
       "Forks                                          None or Unspecified   \n",
       "Pad_Type                                                       NaN   \n",
       "Ride_Control                                   None or Unspecified   \n",
       "Stick                                                          NaN   \n",
       "Transmission                                                   NaN   \n",
       "Turbocharged                                                   NaN   \n",
       "Blade_Extension                                                NaN   \n",
       "Blade_Width                                                    NaN   \n",
       "Enclosure_Type                                                 NaN   \n",
       "Engine_Horsepower                                              NaN   \n",
       "Hydraulics                                                 2 Valve   \n",
       "Pushblock                                                      NaN   \n",
       "Ripper                                                         NaN   \n",
       "Scarifier                                                      NaN   \n",
       "Tip_Control                                                    NaN   \n",
       "Tire_Size                                      None or Unspecified   \n",
       "Coupler                                        None or Unspecified   \n",
       "Coupler_System                                                 NaN   \n",
       "Grouser_Tracks                                                 NaN   \n",
       "Hydraulics_Flow                                                NaN   \n",
       "Track_Type                                                     NaN   \n",
       "Undercarriage_Pad_Width                                        NaN   \n",
       "Stick_Length                                                   NaN   \n",
       "Thumb                                                          NaN   \n",
       "Pattern_Changer                                                NaN   \n",
       "Grouser_Type                                                   NaN   \n",
       "Backhoe_Mounting                                               NaN   \n",
       "Blade_Type                                                     NaN   \n",
       "Travel_Controls                                                NaN   \n",
       "Differential_Type                                         Standard   \n",
       "Steering_Controls                                     Conventional   \n",
       "\n",
       "                                                                 1  \\\n",
       "SalesID                                                    1139248   \n",
       "SalePrice                                                  57000.0   \n",
       "MachineID                                                   117657   \n",
       "ModelID                                                         77   \n",
       "datasource                                                     121   \n",
       "auctioneerID                                                   3.0   \n",
       "YearMade                                                      1996   \n",
       "MachineHoursCurrentMeter                                    4640.0   \n",
       "UsageBand                                                      Low   \n",
       "saledate                                       2004-03-26 00:00:00   \n",
       "fiModelDesc                                                 950FII   \n",
       "fiBaseModel                                                    950   \n",
       "fiSecondaryDesc                                                  F   \n",
       "fiModelSeries                                                   II   \n",
       "fiModelDescriptor                                              NaN   \n",
       "ProductSize                                                 Medium   \n",
       "fiProductClassDesc        Wheel Loader - 150.0 to 175.0 Horsepower   \n",
       "state                                               North Carolina   \n",
       "ProductGroup                                                    WL   \n",
       "ProductGroupDesc                                      Wheel Loader   \n",
       "Drive_System                                                   NaN   \n",
       "Enclosure                                               EROPS w AC   \n",
       "Forks                                          None or Unspecified   \n",
       "Pad_Type                                                       NaN   \n",
       "Ride_Control                                   None or Unspecified   \n",
       "Stick                                                          NaN   \n",
       "Transmission                                                   NaN   \n",
       "Turbocharged                                                   NaN   \n",
       "Blade_Extension                                                NaN   \n",
       "Blade_Width                                                    NaN   \n",
       "Enclosure_Type                                                 NaN   \n",
       "Engine_Horsepower                                              NaN   \n",
       "Hydraulics                                                 2 Valve   \n",
       "Pushblock                                                      NaN   \n",
       "Ripper                                                         NaN   \n",
       "Scarifier                                                      NaN   \n",
       "Tip_Control                                                    NaN   \n",
       "Tire_Size                                                     23.5   \n",
       "Coupler                                        None or Unspecified   \n",
       "Coupler_System                                                 NaN   \n",
       "Grouser_Tracks                                                 NaN   \n",
       "Hydraulics_Flow                                                NaN   \n",
       "Track_Type                                                     NaN   \n",
       "Undercarriage_Pad_Width                                        NaN   \n",
       "Stick_Length                                                   NaN   \n",
       "Thumb                                                          NaN   \n",
       "Pattern_Changer                                                NaN   \n",
       "Grouser_Type                                                   NaN   \n",
       "Backhoe_Mounting                                               NaN   \n",
       "Blade_Type                                                     NaN   \n",
       "Travel_Controls                                                NaN   \n",
       "Differential_Type                                         Standard   \n",
       "Steering_Controls                                     Conventional   \n",
       "\n",
       "                                                                                   2  \\\n",
       "SalesID                                                                      1139249   \n",
       "SalePrice                                                                    10000.0   \n",
       "MachineID                                                                     434808   \n",
       "ModelID                                                                         7009   \n",
       "datasource                                                                       121   \n",
       "auctioneerID                                                                     3.0   \n",
       "YearMade                                                                        2001   \n",
       "MachineHoursCurrentMeter                                                      2838.0   \n",
       "UsageBand                                                                       High   \n",
       "saledate                                                         2004-02-26 00:00:00   \n",
       "fiModelDesc                                                                      226   \n",
       "fiBaseModel                                                                      226   \n",
       "fiSecondaryDesc                                                                  NaN   \n",
       "fiModelSeries                                                                    NaN   \n",
       "fiModelDescriptor                                                                NaN   \n",
       "ProductSize                                                                      NaN   \n",
       "fiProductClassDesc        Skid Steer Loader - 1351.0 to 1601.0 Lb Operating Capacity   \n",
       "state                                                                       New York   \n",
       "ProductGroup                                                                     SSL   \n",
       "ProductGroupDesc                                                  Skid Steer Loaders   \n",
       "Drive_System                                                                     NaN   \n",
       "Enclosure                                                                      OROPS   \n",
       "Forks                                                            None or Unspecified   \n",
       "Pad_Type                                                                         NaN   \n",
       "Ride_Control                                                                     NaN   \n",
       "Stick                                                                            NaN   \n",
       "Transmission                                                                     NaN   \n",
       "Turbocharged                                                                     NaN   \n",
       "Blade_Extension                                                                  NaN   \n",
       "Blade_Width                                                                      NaN   \n",
       "Enclosure_Type                                                                   NaN   \n",
       "Engine_Horsepower                                                                NaN   \n",
       "Hydraulics                                                                 Auxiliary   \n",
       "Pushblock                                                                        NaN   \n",
       "Ripper                                                                           NaN   \n",
       "Scarifier                                                                        NaN   \n",
       "Tip_Control                                                                      NaN   \n",
       "Tire_Size                                                                        NaN   \n",
       "Coupler                                                          None or Unspecified   \n",
       "Coupler_System                                                   None or Unspecified   \n",
       "Grouser_Tracks                                                   None or Unspecified   \n",
       "Hydraulics_Flow                                                             Standard   \n",
       "Track_Type                                                                       NaN   \n",
       "Undercarriage_Pad_Width                                                          NaN   \n",
       "Stick_Length                                                                     NaN   \n",
       "Thumb                                                                            NaN   \n",
       "Pattern_Changer                                                                  NaN   \n",
       "Grouser_Type                                                                     NaN   \n",
       "Backhoe_Mounting                                                                 NaN   \n",
       "Blade_Type                                                                       NaN   \n",
       "Travel_Controls                                                                  NaN   \n",
       "Differential_Type                                                                NaN   \n",
       "Steering_Controls                                                                NaN   \n",
       "\n",
       "                                                                              3  \\\n",
       "SalesID                                                                 1139251   \n",
       "SalePrice                                                               38500.0   \n",
       "MachineID                                                               1026470   \n",
       "ModelID                                                                     332   \n",
       "datasource                                                                  121   \n",
       "auctioneerID                                                                3.0   \n",
       "YearMade                                                                   2001   \n",
       "MachineHoursCurrentMeter                                                 3486.0   \n",
       "UsageBand                                                                  High   \n",
       "saledate                                                    2011-05-19 00:00:00   \n",
       "fiModelDesc                                                            PC120-6E   \n",
       "fiBaseModel                                                               PC120   \n",
       "fiSecondaryDesc                                                             NaN   \n",
       "fiModelSeries                                                               -6E   \n",
       "fiModelDescriptor                                                           NaN   \n",
       "ProductSize                                                               Small   \n",
       "fiProductClassDesc        Hydraulic Excavator, Track - 12.0 to 14.0 Metric Tons   \n",
       "state                                                                     Texas   \n",
       "ProductGroup                                                                TEX   \n",
       "ProductGroupDesc                                               Track Excavators   \n",
       "Drive_System                                                                NaN   \n",
       "Enclosure                                                            EROPS w AC   \n",
       "Forks                                                                       NaN   \n",
       "Pad_Type                                                                    NaN   \n",
       "Ride_Control                                                                NaN   \n",
       "Stick                                                                       NaN   \n",
       "Transmission                                                                NaN   \n",
       "Turbocharged                                                                NaN   \n",
       "Blade_Extension                                                             NaN   \n",
       "Blade_Width                                                                 NaN   \n",
       "Enclosure_Type                                                              NaN   \n",
       "Engine_Horsepower                                                           NaN   \n",
       "Hydraulics                                                              2 Valve   \n",
       "Pushblock                                                                   NaN   \n",
       "Ripper                                                                      NaN   \n",
       "Scarifier                                                                   NaN   \n",
       "Tip_Control                                                                 NaN   \n",
       "Tire_Size                                                                   NaN   \n",
       "Coupler                                                     None or Unspecified   \n",
       "Coupler_System                                                              NaN   \n",
       "Grouser_Tracks                                                              NaN   \n",
       "Hydraulics_Flow                                                             NaN   \n",
       "Track_Type                                                                  NaN   \n",
       "Undercarriage_Pad_Width                                                     NaN   \n",
       "Stick_Length                                                                NaN   \n",
       "Thumb                                                                       NaN   \n",
       "Pattern_Changer                                                             NaN   \n",
       "Grouser_Type                                                                NaN   \n",
       "Backhoe_Mounting                                                            NaN   \n",
       "Blade_Type                                                                  NaN   \n",
       "Travel_Controls                                                             NaN   \n",
       "Differential_Type                                                           NaN   \n",
       "Steering_Controls                                                           NaN   \n",
       "\n",
       "                                                                                   4  \n",
       "SalesID                                                                      1139253  \n",
       "SalePrice                                                                    11000.0  \n",
       "MachineID                                                                    1057373  \n",
       "ModelID                                                                        17311  \n",
       "datasource                                                                       121  \n",
       "auctioneerID                                                                     3.0  \n",
       "YearMade                                                                        2007  \n",
       "MachineHoursCurrentMeter                                                       722.0  \n",
       "UsageBand                                                                     Medium  \n",
       "saledate                                                         2009-07-23 00:00:00  \n",
       "fiModelDesc                                                                     S175  \n",
       "fiBaseModel                                                                     S175  \n",
       "fiSecondaryDesc                                                                  NaN  \n",
       "fiModelSeries                                                                    NaN  \n",
       "fiModelDescriptor                                                                NaN  \n",
       "ProductSize                                                                      NaN  \n",
       "fiProductClassDesc        Skid Steer Loader - 1601.0 to 1751.0 Lb Operating Capacity  \n",
       "state                                                                       New York  \n",
       "ProductGroup                                                                     SSL  \n",
       "ProductGroupDesc                                                  Skid Steer Loaders  \n",
       "Drive_System                                                                     NaN  \n",
       "Enclosure                                                                      EROPS  \n",
       "Forks                                                            None or Unspecified  \n",
       "Pad_Type                                                                         NaN  \n",
       "Ride_Control                                                                     NaN  \n",
       "Stick                                                                            NaN  \n",
       "Transmission                                                                     NaN  \n",
       "Turbocharged                                                                     NaN  \n",
       "Blade_Extension                                                                  NaN  \n",
       "Blade_Width                                                                      NaN  \n",
       "Enclosure_Type                                                                   NaN  \n",
       "Engine_Horsepower                                                                NaN  \n",
       "Hydraulics                                                                 Auxiliary  \n",
       "Pushblock                                                                        NaN  \n",
       "Ripper                                                                           NaN  \n",
       "Scarifier                                                                        NaN  \n",
       "Tip_Control                                                                      NaN  \n",
       "Tire_Size                                                                        NaN  \n",
       "Coupler                                                          None or Unspecified  \n",
       "Coupler_System                                                   None or Unspecified  \n",
       "Grouser_Tracks                                                   None or Unspecified  \n",
       "Hydraulics_Flow                                                             Standard  \n",
       "Track_Type                                                                       NaN  \n",
       "Undercarriage_Pad_Width                                                          NaN  \n",
       "Stick_Length                                                                     NaN  \n",
       "Thumb                                                                            NaN  \n",
       "Pattern_Changer                                                                  NaN  \n",
       "Grouser_Type                                                                     NaN  \n",
       "Backhoe_Mounting                                                                 NaN  \n",
       "Blade_Type                                                                       NaN  \n",
       "Travel_Controls                                                                  NaN  \n",
       "Differential_Type                                                                NaN  \n",
       "Steering_Controls                                                                NaN  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Transpose the dataframe and see columns\n",
    "df.head().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "d574644e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    2006-11-16\n",
       "1    2004-03-26\n",
       "2    2004-02-26\n",
       "3    2011-05-19\n",
       "4    2009-07-23\n",
       "5    2008-12-18\n",
       "6    2004-08-26\n",
       "7    2005-11-17\n",
       "8    2009-08-27\n",
       "9    2007-08-09\n",
       "10   2008-08-21\n",
       "11   2006-08-24\n",
       "12   2005-10-20\n",
       "13   2006-01-26\n",
       "14   2006-01-03\n",
       "15   2006-11-16\n",
       "16   2007-06-14\n",
       "17   2010-01-28\n",
       "18   2006-03-09\n",
       "19   2005-11-17\n",
       "Name: saledate, dtype: datetime64[ns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.saledate.head(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6e8ae49a",
   "metadata": {},
   "source": [
    "### Sort dataframe by saledate\n",
    "\n",
    "When working with time series data it is a good idea to sort it by date."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "28a303c1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "205615   1989-01-17\n",
       "274835   1989-01-31\n",
       "141296   1989-01-31\n",
       "212552   1989-01-31\n",
       "62755    1989-01-31\n",
       "54653    1989-01-31\n",
       "81383    1989-01-31\n",
       "204924   1989-01-31\n",
       "135376   1989-01-31\n",
       "113390   1989-01-31\n",
       "113394   1989-01-31\n",
       "116419   1989-01-31\n",
       "32138    1989-01-31\n",
       "127610   1989-01-31\n",
       "76171    1989-01-31\n",
       "127000   1989-01-31\n",
       "128130   1989-01-31\n",
       "127626   1989-01-31\n",
       "55455    1989-01-31\n",
       "55454    1989-01-31\n",
       "Name: saledate, dtype: datetime64[ns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Sort DataFrame in date order\n",
    "df.sort_values(by = [\"saledate\"], inplace = True, ascending = True)\n",
    "df.saledate.head(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca10c1db",
   "metadata": {},
   "source": [
    "### Make a copy of the original DataFrame\n",
    "\n",
    "We make a copy of the original dataframe so that when we manipulate the copy, we've still got our original data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "b7b473dd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Make a copy\n",
    "df_temp = df.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "f25b41a3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "205615   1989-01-17\n",
       "274835   1989-01-31\n",
       "141296   1989-01-31\n",
       "212552   1989-01-31\n",
       "62755    1989-01-31\n",
       "54653    1989-01-31\n",
       "81383    1989-01-31\n",
       "204924   1989-01-31\n",
       "135376   1989-01-31\n",
       "113390   1989-01-31\n",
       "113394   1989-01-31\n",
       "116419   1989-01-31\n",
       "32138    1989-01-31\n",
       "127610   1989-01-31\n",
       "76171    1989-01-31\n",
       "127000   1989-01-31\n",
       "128130   1989-01-31\n",
       "127626   1989-01-31\n",
       "55455    1989-01-31\n",
       "55454    1989-01-31\n",
       "Name: saledate, dtype: datetime64[ns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_temp.saledate.head(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d7fda7d0",
   "metadata": {},
   "source": [
    "## Feature Engineering\n",
    "### Add datetime parameters for `saledate` column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "6238b9db",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "205615    1989\n",
       "Name: saledate, dtype: int64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_temp[:1].saledate.dt.year "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "33d24367",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "205615    1989-01-17\n",
       "Name: saledate, dtype: object"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_temp[:1].saledate.dt.date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "4a4c0324",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "205615    17\n",
       "Name: saledate, dtype: int64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_temp[:1].saledate.dt.day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "b5ba11c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_temp[\"saleYear\"] = df_temp.saledate.dt.year\n",
    "df_temp[\"saleMonth\"] = df_temp.saledate.dt.month\n",
    "df_temp[\"saleDay\"] = df_temp.saledate.dt.day\n",
    "df_temp[\"saleDayOfWeek\"] = df_temp.saledate.dt.dayofweek\n",
    "df_temp[\"saleDayOfYear\"] = df_temp.saledate.dt.dayofyear"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "794c7f13",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>205615</th>\n",
       "      <th>274835</th>\n",
       "      <th>141296</th>\n",
       "      <th>212552</th>\n",
       "      <th>62755</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>SalesID</th>\n",
       "      <td>1646770</td>\n",
       "      <td>1821514</td>\n",
       "      <td>1505138</td>\n",
       "      <td>1671174</td>\n",
       "      <td>1329056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SalePrice</th>\n",
       "      <td>9500.0</td>\n",
       "      <td>14000.0</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>16000.0</td>\n",
       "      <td>22000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MachineID</th>\n",
       "      <td>1126363</td>\n",
       "      <td>1194089</td>\n",
       "      <td>1473654</td>\n",
       "      <td>1327630</td>\n",
       "      <td>1336053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ModelID</th>\n",
       "      <td>8434</td>\n",
       "      <td>10150</td>\n",
       "      <td>4139</td>\n",
       "      <td>8591</td>\n",
       "      <td>4089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datasource</th>\n",
       "      <td>132</td>\n",
       "      <td>132</td>\n",
       "      <td>132</td>\n",
       "      <td>132</td>\n",
       "      <td>132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>auctioneerID</th>\n",
       "      <td>18.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>99.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YearMade</th>\n",
       "      <td>1974</td>\n",
       "      <td>1980</td>\n",
       "      <td>1978</td>\n",
       "      <td>1980</td>\n",
       "      <td>1984</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MachineHoursCurrentMeter</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UsageBand</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>saledate</th>\n",
       "      <td>1989-01-17 00:00:00</td>\n",
       "      <td>1989-01-31 00:00:00</td>\n",
       "      <td>1989-01-31 00:00:00</td>\n",
       "      <td>1989-01-31 00:00:00</td>\n",
       "      <td>1989-01-31 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fiModelDesc</th>\n",
       "      <td>TD20</td>\n",
       "      <td>A66</td>\n",
       "      <td>D7G</td>\n",
       "      <td>A62</td>\n",
       "      <td>D3B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fiBaseModel</th>\n",
       "      <td>TD20</td>\n",
       "      <td>A66</td>\n",
       "      <td>D7</td>\n",
       "      <td>A62</td>\n",
       "      <td>D3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fiSecondaryDesc</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>G</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fiModelSeries</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fiModelDescriptor</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ProductSize</th>\n",
       "      <td>Medium</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Large</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fiProductClassDesc</th>\n",
       "      <td>Track Type Tractor, Dozer - 105.0 to 130.0 Horsepower</td>\n",
       "      <td>Wheel Loader - 120.0 to 135.0 Horsepower</td>\n",
       "      <td>Track Type Tractor, Dozer - 190.0 to 260.0 Horsepower</td>\n",
       "      <td>Wheel Loader - Unidentified</td>\n",
       "      <td>Track Type Tractor, Dozer - 20.0 to 75.0 Horsepower</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>state</th>\n",
       "      <td>Texas</td>\n",
       "      <td>Florida</td>\n",
       "      <td>Florida</td>\n",
       "      <td>Florida</td>\n",
       "      <td>Florida</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ProductGroup</th>\n",
       "      <td>TTT</td>\n",
       "      <td>WL</td>\n",
       "      <td>TTT</td>\n",
       "      <td>WL</td>\n",
       "      <td>TTT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ProductGroupDesc</th>\n",
       "      <td>Track Type Tractors</td>\n",
       "      <td>Wheel Loader</td>\n",
       "      <td>Track Type Tractors</td>\n",
       "      <td>Wheel Loader</td>\n",
       "      <td>Track Type Tractors</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drive_System</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Enclosure</th>\n",
       "      <td>OROPS</td>\n",
       "      <td>OROPS</td>\n",
       "      <td>OROPS</td>\n",
       "      <td>EROPS</td>\n",
       "      <td>OROPS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Forks</th>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pad_Type</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ride_Control</th>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stick</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Transmission</th>\n",
       "      <td>Direct Drive</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Standard</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Standard</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Turbocharged</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Blade_Extension</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Blade_Width</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Enclosure_Type</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Engine_Horsepower</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hydraulics</th>\n",
       "      <td>2 Valve</td>\n",
       "      <td>2 Valve</td>\n",
       "      <td>2 Valve</td>\n",
       "      <td>2 Valve</td>\n",
       "      <td>2 Valve</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pushblock</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ripper</th>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Scarifier</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tip_Control</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tire_Size</th>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Coupler</th>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Coupler_System</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Grouser_Tracks</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hydraulics_Flow</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Track_Type</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Undercarriage_Pad_Width</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stick_Length</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thumb</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pattern_Changer</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Grouser_Type</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Backhoe_Mounting</th>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Blade_Type</th>\n",
       "      <td>Straight</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Straight</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PAT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Travel_Controls</th>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Lever</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Differential_Type</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Standard</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Standard</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Steering_Controls</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Conventional</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Conventional</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>saleYear</th>\n",
       "      <td>1989</td>\n",
       "      <td>1989</td>\n",
       "      <td>1989</td>\n",
       "      <td>1989</td>\n",
       "      <td>1989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>saleMonth</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>saleDay</th>\n",
       "      <td>17</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>saleDayOfWeek</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>saleDayOfYear</th>\n",
       "      <td>17</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                         205615  \\\n",
       "SalesID                                                                 1646770   \n",
       "SalePrice                                                                9500.0   \n",
       "MachineID                                                               1126363   \n",
       "ModelID                                                                    8434   \n",
       "datasource                                                                  132   \n",
       "auctioneerID                                                               18.0   \n",
       "YearMade                                                                   1974   \n",
       "MachineHoursCurrentMeter                                                    NaN   \n",
       "UsageBand                                                                   NaN   \n",
       "saledate                                                    1989-01-17 00:00:00   \n",
       "fiModelDesc                                                                TD20   \n",
       "fiBaseModel                                                                TD20   \n",
       "fiSecondaryDesc                                                             NaN   \n",
       "fiModelSeries                                                               NaN   \n",
       "fiModelDescriptor                                                           NaN   \n",
       "ProductSize                                                              Medium   \n",
       "fiProductClassDesc        Track Type Tractor, Dozer - 105.0 to 130.0 Horsepower   \n",
       "state                                                                     Texas   \n",
       "ProductGroup                                                                TTT   \n",
       "ProductGroupDesc                                            Track Type Tractors   \n",
       "Drive_System                                                                NaN   \n",
       "Enclosure                                                                 OROPS   \n",
       "Forks                                                                       NaN   \n",
       "Pad_Type                                                                    NaN   \n",
       "Ride_Control                                                                NaN   \n",
       "Stick                                                                       NaN   \n",
       "Transmission                                                       Direct Drive   \n",
       "Turbocharged                                                                NaN   \n",
       "Blade_Extension                                                             NaN   \n",
       "Blade_Width                                                                 NaN   \n",
       "Enclosure_Type                                                              NaN   \n",
       "Engine_Horsepower                                                           NaN   \n",
       "Hydraulics                                                              2 Valve   \n",
       "Pushblock                                                                   NaN   \n",
       "Ripper                                                      None or Unspecified   \n",
       "Scarifier                                                                   NaN   \n",
       "Tip_Control                                                                 NaN   \n",
       "Tire_Size                                                                   NaN   \n",
       "Coupler                                                                     NaN   \n",
       "Coupler_System                                                              NaN   \n",
       "Grouser_Tracks                                                              NaN   \n",
       "Hydraulics_Flow                                                             NaN   \n",
       "Track_Type                                                                  NaN   \n",
       "Undercarriage_Pad_Width                                                     NaN   \n",
       "Stick_Length                                                                NaN   \n",
       "Thumb                                                                       NaN   \n",
       "Pattern_Changer                                                             NaN   \n",
       "Grouser_Type                                                                NaN   \n",
       "Backhoe_Mounting                                            None or Unspecified   \n",
       "Blade_Type                                                             Straight   \n",
       "Travel_Controls                                             None or Unspecified   \n",
       "Differential_Type                                                           NaN   \n",
       "Steering_Controls                                                           NaN   \n",
       "saleYear                                                                   1989   \n",
       "saleMonth                                                                     1   \n",
       "saleDay                                                                      17   \n",
       "saleDayOfWeek                                                                 1   \n",
       "saleDayOfYear                                                                17   \n",
       "\n",
       "                                                            274835  \\\n",
       "SalesID                                                    1821514   \n",
       "SalePrice                                                  14000.0   \n",
       "MachineID                                                  1194089   \n",
       "ModelID                                                      10150   \n",
       "datasource                                                     132   \n",
       "auctioneerID                                                  99.0   \n",
       "YearMade                                                      1980   \n",
       "MachineHoursCurrentMeter                                       NaN   \n",
       "UsageBand                                                      NaN   \n",
       "saledate                                       1989-01-31 00:00:00   \n",
       "fiModelDesc                                                    A66   \n",
       "fiBaseModel                                                    A66   \n",
       "fiSecondaryDesc                                                NaN   \n",
       "fiModelSeries                                                  NaN   \n",
       "fiModelDescriptor                                              NaN   \n",
       "ProductSize                                                    NaN   \n",
       "fiProductClassDesc        Wheel Loader - 120.0 to 135.0 Horsepower   \n",
       "state                                                      Florida   \n",
       "ProductGroup                                                    WL   \n",
       "ProductGroupDesc                                      Wheel Loader   \n",
       "Drive_System                                                   NaN   \n",
       "Enclosure                                                    OROPS   \n",
       "Forks                                          None or Unspecified   \n",
       "Pad_Type                                                       NaN   \n",
       "Ride_Control                                   None or Unspecified   \n",
       "Stick                                                          NaN   \n",
       "Transmission                                                   NaN   \n",
       "Turbocharged                                                   NaN   \n",
       "Blade_Extension                                                NaN   \n",
       "Blade_Width                                                    NaN   \n",
       "Enclosure_Type                                                 NaN   \n",
       "Engine_Horsepower                                              NaN   \n",
       "Hydraulics                                                 2 Valve   \n",
       "Pushblock                                                      NaN   \n",
       "Ripper                                                         NaN   \n",
       "Scarifier                                                      NaN   \n",
       "Tip_Control                                                    NaN   \n",
       "Tire_Size                                      None or Unspecified   \n",
       "Coupler                                        None or Unspecified   \n",
       "Coupler_System                                                 NaN   \n",
       "Grouser_Tracks                                                 NaN   \n",
       "Hydraulics_Flow                                                NaN   \n",
       "Track_Type                                                     NaN   \n",
       "Undercarriage_Pad_Width                                        NaN   \n",
       "Stick_Length                                                   NaN   \n",
       "Thumb                                                          NaN   \n",
       "Pattern_Changer                                                NaN   \n",
       "Grouser_Type                                                   NaN   \n",
       "Backhoe_Mounting                                               NaN   \n",
       "Blade_Type                                                     NaN   \n",
       "Travel_Controls                                                NaN   \n",
       "Differential_Type                                         Standard   \n",
       "Steering_Controls                                     Conventional   \n",
       "saleYear                                                      1989   \n",
       "saleMonth                                                        1   \n",
       "saleDay                                                         31   \n",
       "saleDayOfWeek                                                    1   \n",
       "saleDayOfYear                                                   31   \n",
       "\n",
       "                                                                         141296  \\\n",
       "SalesID                                                                 1505138   \n",
       "SalePrice                                                               50000.0   \n",
       "MachineID                                                               1473654   \n",
       "ModelID                                                                    4139   \n",
       "datasource                                                                  132   \n",
       "auctioneerID                                                               99.0   \n",
       "YearMade                                                                   1978   \n",
       "MachineHoursCurrentMeter                                                    NaN   \n",
       "UsageBand                                                                   NaN   \n",
       "saledate                                                    1989-01-31 00:00:00   \n",
       "fiModelDesc                                                                 D7G   \n",
       "fiBaseModel                                                                  D7   \n",
       "fiSecondaryDesc                                                               G   \n",
       "fiModelSeries                                                               NaN   \n",
       "fiModelDescriptor                                                           NaN   \n",
       "ProductSize                                                               Large   \n",
       "fiProductClassDesc        Track Type Tractor, Dozer - 190.0 to 260.0 Horsepower   \n",
       "state                                                                   Florida   \n",
       "ProductGroup                                                                TTT   \n",
       "ProductGroupDesc                                            Track Type Tractors   \n",
       "Drive_System                                                                NaN   \n",
       "Enclosure                                                                 OROPS   \n",
       "Forks                                                                       NaN   \n",
       "Pad_Type                                                                    NaN   \n",
       "Ride_Control                                                                NaN   \n",
       "Stick                                                                       NaN   \n",
       "Transmission                                                           Standard   \n",
       "Turbocharged                                                                NaN   \n",
       "Blade_Extension                                                             NaN   \n",
       "Blade_Width                                                                 NaN   \n",
       "Enclosure_Type                                                              NaN   \n",
       "Engine_Horsepower                                                           NaN   \n",
       "Hydraulics                                                              2 Valve   \n",
       "Pushblock                                                                   NaN   \n",
       "Ripper                                                      None or Unspecified   \n",
       "Scarifier                                                                   NaN   \n",
       "Tip_Control                                                                 NaN   \n",
       "Tire_Size                                                                   NaN   \n",
       "Coupler                                                                     NaN   \n",
       "Coupler_System                                                              NaN   \n",
       "Grouser_Tracks                                                              NaN   \n",
       "Hydraulics_Flow                                                             NaN   \n",
       "Track_Type                                                                  NaN   \n",
       "Undercarriage_Pad_Width                                                     NaN   \n",
       "Stick_Length                                                                NaN   \n",
       "Thumb                                                                       NaN   \n",
       "Pattern_Changer                                                             NaN   \n",
       "Grouser_Type                                                                NaN   \n",
       "Backhoe_Mounting                                            None or Unspecified   \n",
       "Blade_Type                                                             Straight   \n",
       "Travel_Controls                                             None or Unspecified   \n",
       "Differential_Type                                                           NaN   \n",
       "Steering_Controls                                                           NaN   \n",
       "saleYear                                                                   1989   \n",
       "saleMonth                                                                     1   \n",
       "saleDay                                                                      31   \n",
       "saleDayOfWeek                                                                 1   \n",
       "saleDayOfYear                                                                31   \n",
       "\n",
       "                                               212552  \\\n",
       "SalesID                                       1671174   \n",
       "SalePrice                                     16000.0   \n",
       "MachineID                                     1327630   \n",
       "ModelID                                          8591   \n",
       "datasource                                        132   \n",
       "auctioneerID                                     99.0   \n",
       "YearMade                                         1980   \n",
       "MachineHoursCurrentMeter                          NaN   \n",
       "UsageBand                                         NaN   \n",
       "saledate                          1989-01-31 00:00:00   \n",
       "fiModelDesc                                       A62   \n",
       "fiBaseModel                                       A62   \n",
       "fiSecondaryDesc                                   NaN   \n",
       "fiModelSeries                                     NaN   \n",
       "fiModelDescriptor                                 NaN   \n",
       "ProductSize                                       NaN   \n",
       "fiProductClassDesc        Wheel Loader - Unidentified   \n",
       "state                                         Florida   \n",
       "ProductGroup                                       WL   \n",
       "ProductGroupDesc                         Wheel Loader   \n",
       "Drive_System                                      NaN   \n",
       "Enclosure                                       EROPS   \n",
       "Forks                             None or Unspecified   \n",
       "Pad_Type                                          NaN   \n",
       "Ride_Control                      None or Unspecified   \n",
       "Stick                                             NaN   \n",
       "Transmission                                      NaN   \n",
       "Turbocharged                                      NaN   \n",
       "Blade_Extension                                   NaN   \n",
       "Blade_Width                                       NaN   \n",
       "Enclosure_Type                                    NaN   \n",
       "Engine_Horsepower                                 NaN   \n",
       "Hydraulics                                    2 Valve   \n",
       "Pushblock                                         NaN   \n",
       "Ripper                                            NaN   \n",
       "Scarifier                                         NaN   \n",
       "Tip_Control                                       NaN   \n",
       "Tire_Size                         None or Unspecified   \n",
       "Coupler                           None or Unspecified   \n",
       "Coupler_System                                    NaN   \n",
       "Grouser_Tracks                                    NaN   \n",
       "Hydraulics_Flow                                   NaN   \n",
       "Track_Type                                        NaN   \n",
       "Undercarriage_Pad_Width                           NaN   \n",
       "Stick_Length                                      NaN   \n",
       "Thumb                                             NaN   \n",
       "Pattern_Changer                                   NaN   \n",
       "Grouser_Type                                      NaN   \n",
       "Backhoe_Mounting                                  NaN   \n",
       "Blade_Type                                        NaN   \n",
       "Travel_Controls                                   NaN   \n",
       "Differential_Type                            Standard   \n",
       "Steering_Controls                        Conventional   \n",
       "saleYear                                         1989   \n",
       "saleMonth                                           1   \n",
       "saleDay                                            31   \n",
       "saleDayOfWeek                                       1   \n",
       "saleDayOfYear                                      31   \n",
       "\n",
       "                                                                       62755   \n",
       "SalesID                                                               1329056  \n",
       "SalePrice                                                             22000.0  \n",
       "MachineID                                                             1336053  \n",
       "ModelID                                                                  4089  \n",
       "datasource                                                                132  \n",
       "auctioneerID                                                             99.0  \n",
       "YearMade                                                                 1984  \n",
       "MachineHoursCurrentMeter                                                  NaN  \n",
       "UsageBand                                                                 NaN  \n",
       "saledate                                                  1989-01-31 00:00:00  \n",
       "fiModelDesc                                                               D3B  \n",
       "fiBaseModel                                                                D3  \n",
       "fiSecondaryDesc                                                             B  \n",
       "fiModelSeries                                                             NaN  \n",
       "fiModelDescriptor                                                         NaN  \n",
       "ProductSize                                                               NaN  \n",
       "fiProductClassDesc        Track Type Tractor, Dozer - 20.0 to 75.0 Horsepower  \n",
       "state                                                                 Florida  \n",
       "ProductGroup                                                              TTT  \n",
       "ProductGroupDesc                                          Track Type Tractors  \n",
       "Drive_System                                                              NaN  \n",
       "Enclosure                                                               OROPS  \n",
       "Forks                                                                     NaN  \n",
       "Pad_Type                                                                  NaN  \n",
       "Ride_Control                                                              NaN  \n",
       "Stick                                                                     NaN  \n",
       "Transmission                                                         Standard  \n",
       "Turbocharged                                                              NaN  \n",
       "Blade_Extension                                                           NaN  \n",
       "Blade_Width                                                               NaN  \n",
       "Enclosure_Type                                                            NaN  \n",
       "Engine_Horsepower                                                         NaN  \n",
       "Hydraulics                                                            2 Valve  \n",
       "Pushblock                                                                 NaN  \n",
       "Ripper                                                    None or Unspecified  \n",
       "Scarifier                                                                 NaN  \n",
       "Tip_Control                                                               NaN  \n",
       "Tire_Size                                                                 NaN  \n",
       "Coupler                                                                   NaN  \n",
       "Coupler_System                                                            NaN  \n",
       "Grouser_Tracks                                                            NaN  \n",
       "Hydraulics_Flow                                                           NaN  \n",
       "Track_Type                                                                NaN  \n",
       "Undercarriage_Pad_Width                                                   NaN  \n",
       "Stick_Length                                                              NaN  \n",
       "Thumb                                                                     NaN  \n",
       "Pattern_Changer                                                           NaN  \n",
       "Grouser_Type                                                              NaN  \n",
       "Backhoe_Mounting                                          None or Unspecified  \n",
       "Blade_Type                                                                PAT  \n",
       "Travel_Controls                                                         Lever  \n",
       "Differential_Type                                                         NaN  \n",
       "Steering_Controls                                                         NaN  \n",
       "saleYear                                                                 1989  \n",
       "saleMonth                                                                   1  \n",
       "saleDay                                                                    31  \n",
       "saleDayOfWeek                                                               1  \n",
       "saleDayOfYear                                                              31  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_temp.head().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "26922cae",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Now we've enriched our DataFrame with date time features, we can remove saledate\n",
    "df_temp.drop(\"saledate\", axis = 1, inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "de649b80",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Florida           67320\n",
       "Texas             53110\n",
       "California        29761\n",
       "Washington        16222\n",
       "Georgia           14633\n",
       "Maryland          13322\n",
       "Mississippi       13240\n",
       "Ohio              12369\n",
       "Illinois          11540\n",
       "Colorado          11529\n",
       "New Jersey        11156\n",
       "North Carolina    10636\n",
       "Tennessee         10298\n",
       "Alabama           10292\n",
       "Pennsylvania      10234\n",
       "South Carolina     9951\n",
       "Arizona            9364\n",
       "New York           8639\n",
       "Connecticut        8276\n",
       "Minnesota          7885\n",
       "Missouri           7178\n",
       "Nevada             6932\n",
       "Louisiana          6627\n",
       "Kentucky           5351\n",
       "Maine              5096\n",
       "Indiana            4124\n",
       "Arkansas           3933\n",
       "New Mexico         3631\n",
       "Utah               3046\n",
       "Unspecified        2801\n",
       "Wisconsin          2745\n",
       "New Hampshire      2738\n",
       "Virginia           2353\n",
       "Idaho              2025\n",
       "Oregon             1911\n",
       "Michigan           1831\n",
       "Wyoming            1672\n",
       "Montana            1336\n",
       "Iowa               1336\n",
       "Oklahoma           1326\n",
       "Nebraska            866\n",
       "West Virginia       840\n",
       "Kansas              667\n",
       "Delaware            510\n",
       "North Dakota        480\n",
       "Alaska              430\n",
       "Massachusetts       347\n",
       "Vermont             300\n",
       "South Dakota        244\n",
       "Hawaii              118\n",
       "Rhode Island         83\n",
       "Puerto Rico          42\n",
       "Washington DC         2\n",
       "Name: state, dtype: int64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check the values of different columns\n",
    "df_temp.state.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bdf9531a",
   "metadata": {},
   "source": [
    "## 5. Modelling\n",
    "\n",
    "We've done enough EDA, now let's do model-driven EDA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "54cdfd54",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 412698 entries, 205615 to 409203\n",
      "Data columns (total 57 columns):\n",
      " #   Column                    Non-Null Count   Dtype  \n",
      "---  ------                    --------------   -----  \n",
      " 0   SalesID                   412698 non-null  int64  \n",
      " 1   SalePrice                 412698 non-null  float64\n",
      " 2   MachineID                 412698 non-null  int64  \n",
      " 3   ModelID                   412698 non-null  int64  \n",
      " 4   datasource                412698 non-null  int64  \n",
      " 5   auctioneerID              392562 non-null  float64\n",
      " 6   YearMade                  412698 non-null  int64  \n",
      " 7   MachineHoursCurrentMeter  147504 non-null  float64\n",
      " 8   UsageBand                 73670 non-null   object \n",
      " 9   fiModelDesc               412698 non-null  object \n",
      " 10  fiBaseModel               412698 non-null  object \n",
      " 11  fiSecondaryDesc           271971 non-null  object \n",
      " 12  fiModelSeries             58667 non-null   object \n",
      " 13  fiModelDescriptor         74816 non-null   object \n",
      " 14  ProductSize               196093 non-null  object \n",
      " 15  fiProductClassDesc        412698 non-null  object \n",
      " 16  state                     412698 non-null  object \n",
      " 17  ProductGroup              412698 non-null  object \n",
      " 18  ProductGroupDesc          412698 non-null  object \n",
      " 19  Drive_System              107087 non-null  object \n",
      " 20  Enclosure                 412364 non-null  object \n",
      " 21  Forks                     197715 non-null  object \n",
      " 22  Pad_Type                  81096 non-null   object \n",
      " 23  Ride_Control              152728 non-null  object \n",
      " 24  Stick                     81096 non-null   object \n",
      " 25  Transmission              188007 non-null  object \n",
      " 26  Turbocharged              81096 non-null   object \n",
      " 27  Blade_Extension           25983 non-null   object \n",
      " 28  Blade_Width               25983 non-null   object \n",
      " 29  Enclosure_Type            25983 non-null   object \n",
      " 30  Engine_Horsepower         25983 non-null   object \n",
      " 31  Hydraulics                330133 non-null  object \n",
      " 32  Pushblock                 25983 non-null   object \n",
      " 33  Ripper                    106945 non-null  object \n",
      " 34  Scarifier                 25994 non-null   object \n",
      " 35  Tip_Control               25983 non-null   object \n",
      " 36  Tire_Size                 97638 non-null   object \n",
      " 37  Coupler                   220679 non-null  object \n",
      " 38  Coupler_System            44974 non-null   object \n",
      " 39  Grouser_Tracks            44875 non-null   object \n",
      " 40  Hydraulics_Flow           44875 non-null   object \n",
      " 41  Track_Type                102193 non-null  object \n",
      " 42  Undercarriage_Pad_Width   102916 non-null  object \n",
      " 43  Stick_Length              102261 non-null  object \n",
      " 44  Thumb                     102332 non-null  object \n",
      " 45  Pattern_Changer           102261 non-null  object \n",
      " 46  Grouser_Type              102193 non-null  object \n",
      " 47  Backhoe_Mounting          80712 non-null   object \n",
      " 48  Blade_Type                81875 non-null   object \n",
      " 49  Travel_Controls           81877 non-null   object \n",
      " 50  Differential_Type         71564 non-null   object \n",
      " 51  Steering_Controls         71522 non-null   object \n",
      " 52  saleYear                  412698 non-null  int64  \n",
      " 53  saleMonth                 412698 non-null  int64  \n",
      " 54  saleDay                   412698 non-null  int64  \n",
      " 55  saleDayOfWeek             412698 non-null  int64  \n",
      " 56  saleDayOfYear             412698 non-null  int64  \n",
      "dtypes: float64(3), int64(10), object(44)\n",
      "memory usage: 182.6+ MB\n"
     ]
    }
   ],
   "source": [
    "df_temp.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "cf2e03aa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('O')"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_temp[\"UsageBand\"].dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "b1465a2c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SalesID                          0\n",
       "SalePrice                        0\n",
       "MachineID                        0\n",
       "ModelID                          0\n",
       "datasource                       0\n",
       "auctioneerID                 20136\n",
       "YearMade                         0\n",
       "MachineHoursCurrentMeter    265194\n",
       "UsageBand                   339028\n",
       "fiModelDesc                      0\n",
       "fiBaseModel                      0\n",
       "fiSecondaryDesc             140727\n",
       "fiModelSeries               354031\n",
       "fiModelDescriptor           337882\n",
       "ProductSize                 216605\n",
       "fiProductClassDesc               0\n",
       "state                            0\n",
       "ProductGroup                     0\n",
       "ProductGroupDesc                 0\n",
       "Drive_System                305611\n",
       "Enclosure                      334\n",
       "Forks                       214983\n",
       "Pad_Type                    331602\n",
       "Ride_Control                259970\n",
       "Stick                       331602\n",
       "Transmission                224691\n",
       "Turbocharged                331602\n",
       "Blade_Extension             386715\n",
       "Blade_Width                 386715\n",
       "Enclosure_Type              386715\n",
       "Engine_Horsepower           386715\n",
       "Hydraulics                   82565\n",
       "Pushblock                   386715\n",
       "Ripper                      305753\n",
       "Scarifier                   386704\n",
       "Tip_Control                 386715\n",
       "Tire_Size                   315060\n",
       "Coupler                     192019\n",
       "Coupler_System              367724\n",
       "Grouser_Tracks              367823\n",
       "Hydraulics_Flow             367823\n",
       "Track_Type                  310505\n",
       "Undercarriage_Pad_Width     309782\n",
       "Stick_Length                310437\n",
       "Thumb                       310366\n",
       "Pattern_Changer             310437\n",
       "Grouser_Type                310505\n",
       "Backhoe_Mounting            331986\n",
       "Blade_Type                  330823\n",
       "Travel_Controls             330821\n",
       "Differential_Type           341134\n",
       "Steering_Controls           341176\n",
       "saleYear                         0\n",
       "saleMonth                        0\n",
       "saleDay                          0\n",
       "saleDayOfWeek                    0\n",
       "saleDayOfYear                    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_temp.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f0bccc78",
   "metadata": {},
   "source": [
    "### Convert string to categories\n",
    "\n",
    "One way we can turn all of our data into numbers is bey converting them into pandas categories.\n",
    "\n",
    "https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Categorical.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "9d70fdc3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SalesID</th>\n",
       "      <th>SalePrice</th>\n",
       "      <th>MachineID</th>\n",
       "      <th>ModelID</th>\n",
       "      <th>datasource</th>\n",
       "      <th>auctioneerID</th>\n",
       "      <th>YearMade</th>\n",
       "      <th>MachineHoursCurrentMeter</th>\n",
       "      <th>UsageBand</th>\n",
       "      <th>fiModelDesc</th>\n",
       "      <th>...</th>\n",
       "      <th>Backhoe_Mounting</th>\n",
       "      <th>Blade_Type</th>\n",
       "      <th>Travel_Controls</th>\n",
       "      <th>Differential_Type</th>\n",
       "      <th>Steering_Controls</th>\n",
       "      <th>saleYear</th>\n",
       "      <th>saleMonth</th>\n",
       "      <th>saleDay</th>\n",
       "      <th>saleDayOfWeek</th>\n",
       "      <th>saleDayOfYear</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>205615</th>\n",
       "      <td>1646770</td>\n",
       "      <td>9500.0</td>\n",
       "      <td>1126363</td>\n",
       "      <td>8434</td>\n",
       "      <td>132</td>\n",
       "      <td>18.0</td>\n",
       "      <td>1974</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TD20</td>\n",
       "      <td>...</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>Straight</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1989</td>\n",
       "      <td>1</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274835</th>\n",
       "      <td>1821514</td>\n",
       "      <td>14000.0</td>\n",
       "      <td>1194089</td>\n",
       "      <td>10150</td>\n",
       "      <td>132</td>\n",
       "      <td>99.0</td>\n",
       "      <td>1980</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>A66</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Standard</td>\n",
       "      <td>Conventional</td>\n",
       "      <td>1989</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141296</th>\n",
       "      <td>1505138</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>1473654</td>\n",
       "      <td>4139</td>\n",
       "      <td>132</td>\n",
       "      <td>99.0</td>\n",
       "      <td>1978</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>D7G</td>\n",
       "      <td>...</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>Straight</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1989</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212552</th>\n",
       "      <td>1671174</td>\n",
       "      <td>16000.0</td>\n",
       "      <td>1327630</td>\n",
       "      <td>8591</td>\n",
       "      <td>132</td>\n",
       "      <td>99.0</td>\n",
       "      <td>1980</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>A62</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Standard</td>\n",
       "      <td>Conventional</td>\n",
       "      <td>1989</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62755</th>\n",
       "      <td>1329056</td>\n",
       "      <td>22000.0</td>\n",
       "      <td>1336053</td>\n",
       "      <td>4089</td>\n",
       "      <td>132</td>\n",
       "      <td>99.0</td>\n",
       "      <td>1984</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>D3B</td>\n",
       "      <td>...</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>PAT</td>\n",
       "      <td>Lever</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1989</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 57 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        SalesID  SalePrice  MachineID  ModelID  datasource  auctioneerID  \\\n",
       "205615  1646770     9500.0    1126363     8434         132          18.0   \n",
       "274835  1821514    14000.0    1194089    10150         132          99.0   \n",
       "141296  1505138    50000.0    1473654     4139         132          99.0   \n",
       "212552  1671174    16000.0    1327630     8591         132          99.0   \n",
       "62755   1329056    22000.0    1336053     4089         132          99.0   \n",
       "\n",
       "        YearMade  MachineHoursCurrentMeter UsageBand fiModelDesc  ...  \\\n",
       "205615      1974                       NaN       NaN        TD20  ...   \n",
       "274835      1980                       NaN       NaN         A66  ...   \n",
       "141296      1978                       NaN       NaN         D7G  ...   \n",
       "212552      1980                       NaN       NaN         A62  ...   \n",
       "62755       1984                       NaN       NaN         D3B  ...   \n",
       "\n",
       "           Backhoe_Mounting Blade_Type      Travel_Controls Differential_Type  \\\n",
       "205615  None or Unspecified   Straight  None or Unspecified               NaN   \n",
       "274835                  NaN        NaN                  NaN          Standard   \n",
       "141296  None or Unspecified   Straight  None or Unspecified               NaN   \n",
       "212552                  NaN        NaN                  NaN          Standard   \n",
       "62755   None or Unspecified        PAT                Lever               NaN   \n",
       "\n",
       "       Steering_Controls saleYear saleMonth saleDay saleDayOfWeek  \\\n",
       "205615               NaN     1989         1      17             1   \n",
       "274835      Conventional     1989         1      31             1   \n",
       "141296               NaN     1989         1      31             1   \n",
       "212552      Conventional     1989         1      31             1   \n",
       "62755                NaN     1989         1      31             1   \n",
       "\n",
       "       saleDayOfYear  \n",
       "205615            17  \n",
       "274835            31  \n",
       "141296            31  \n",
       "212552            31  \n",
       "62755             31  \n",
       "\n",
       "[5 rows x 57 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_temp.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "245a12b9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.api.types.is_string_dtype(df_temp[\"UsageBand\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "fae399fe",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "UsageBand\n",
      "fiModelDesc\n",
      "fiBaseModel\n",
      "fiSecondaryDesc\n",
      "fiModelSeries\n",
      "fiModelDescriptor\n",
      "ProductSize\n",
      "fiProductClassDesc\n",
      "state\n",
      "ProductGroup\n",
      "ProductGroupDesc\n",
      "Drive_System\n",
      "Enclosure\n",
      "Forks\n",
      "Pad_Type\n",
      "Ride_Control\n",
      "Stick\n",
      "Transmission\n",
      "Turbocharged\n",
      "Blade_Extension\n",
      "Blade_Width\n",
      "Enclosure_Type\n",
      "Engine_Horsepower\n",
      "Hydraulics\n",
      "Pushblock\n",
      "Ripper\n",
      "Scarifier\n",
      "Tip_Control\n",
      "Tire_Size\n",
      "Coupler\n",
      "Coupler_System\n",
      "Grouser_Tracks\n",
      "Hydraulics_Flow\n",
      "Track_Type\n",
      "Undercarriage_Pad_Width\n",
      "Stick_Length\n",
      "Thumb\n",
      "Pattern_Changer\n",
      "Grouser_Type\n",
      "Backhoe_Mounting\n",
      "Blade_Type\n",
      "Travel_Controls\n",
      "Differential_Type\n",
      "Steering_Controls\n"
     ]
    }
   ],
   "source": [
    "# Find the columns which contain strings\n",
    "for label, content in df_temp.items():\n",
    "    if pd.api.types.is_string_dtype(content):\n",
    "        print(label)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "d4888a7e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# This will turn all of the string value into category values\n",
    "for label, content in df_temp.items():\n",
    "    if pd.api.types.is_string_dtype(content):\n",
    "        df_temp[label] = content.astype(\"category\").cat.as_ordered()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "300a470b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 412698 entries, 205615 to 409203\n",
      "Data columns (total 57 columns):\n",
      " #   Column                    Non-Null Count   Dtype   \n",
      "---  ------                    --------------   -----   \n",
      " 0   SalesID                   412698 non-null  int64   \n",
      " 1   SalePrice                 412698 non-null  float64 \n",
      " 2   MachineID                 412698 non-null  int64   \n",
      " 3   ModelID                   412698 non-null  int64   \n",
      " 4   datasource                412698 non-null  int64   \n",
      " 5   auctioneerID              392562 non-null  float64 \n",
      " 6   YearMade                  412698 non-null  int64   \n",
      " 7   MachineHoursCurrentMeter  147504 non-null  float64 \n",
      " 8   UsageBand                 73670 non-null   category\n",
      " 9   fiModelDesc               412698 non-null  category\n",
      " 10  fiBaseModel               412698 non-null  category\n",
      " 11  fiSecondaryDesc           271971 non-null  category\n",
      " 12  fiModelSeries             58667 non-null   category\n",
      " 13  fiModelDescriptor         74816 non-null   category\n",
      " 14  ProductSize               196093 non-null  category\n",
      " 15  fiProductClassDesc        412698 non-null  category\n",
      " 16  state                     412698 non-null  category\n",
      " 17  ProductGroup              412698 non-null  category\n",
      " 18  ProductGroupDesc          412698 non-null  category\n",
      " 19  Drive_System              107087 non-null  category\n",
      " 20  Enclosure                 412364 non-null  category\n",
      " 21  Forks                     197715 non-null  category\n",
      " 22  Pad_Type                  81096 non-null   category\n",
      " 23  Ride_Control              152728 non-null  category\n",
      " 24  Stick                     81096 non-null   category\n",
      " 25  Transmission              188007 non-null  category\n",
      " 26  Turbocharged              81096 non-null   category\n",
      " 27  Blade_Extension           25983 non-null   category\n",
      " 28  Blade_Width               25983 non-null   category\n",
      " 29  Enclosure_Type            25983 non-null   category\n",
      " 30  Engine_Horsepower         25983 non-null   category\n",
      " 31  Hydraulics                330133 non-null  category\n",
      " 32  Pushblock                 25983 non-null   category\n",
      " 33  Ripper                    106945 non-null  category\n",
      " 34  Scarifier                 25994 non-null   category\n",
      " 35  Tip_Control               25983 non-null   category\n",
      " 36  Tire_Size                 97638 non-null   category\n",
      " 37  Coupler                   220679 non-null  category\n",
      " 38  Coupler_System            44974 non-null   category\n",
      " 39  Grouser_Tracks            44875 non-null   category\n",
      " 40  Hydraulics_Flow           44875 non-null   category\n",
      " 41  Track_Type                102193 non-null  category\n",
      " 42  Undercarriage_Pad_Width   102916 non-null  category\n",
      " 43  Stick_Length              102261 non-null  category\n",
      " 44  Thumb                     102332 non-null  category\n",
      " 45  Pattern_Changer           102261 non-null  category\n",
      " 46  Grouser_Type              102193 non-null  category\n",
      " 47  Backhoe_Mounting          80712 non-null   category\n",
      " 48  Blade_Type                81875 non-null   category\n",
      " 49  Travel_Controls           81877 non-null   category\n",
      " 50  Differential_Type         71564 non-null   category\n",
      " 51  Steering_Controls         71522 non-null   category\n",
      " 52  saleYear                  412698 non-null  int64   \n",
      " 53  saleMonth                 412698 non-null  int64   \n",
      " 54  saleDay                   412698 non-null  int64   \n",
      " 55  saleDayOfWeek             412698 non-null  int64   \n",
      " 56  saleDayOfYear             412698 non-null  int64   \n",
      "dtypes: category(44), float64(3), int64(10)\n",
      "memory usage: 63.2 MB\n"
     ]
    }
   ],
   "source": [
    "df_temp.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "cb875cba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Alabama', 'Alaska', 'Arizona', 'Arkansas', 'California', 'Colorado',\n",
       "       'Connecticut', 'Delaware', 'Florida', 'Georgia', 'Hawaii', 'Idaho',\n",
       "       'Illinois', 'Indiana', 'Iowa', 'Kansas', 'Kentucky', 'Louisiana',\n",
       "       'Maine', 'Maryland', 'Massachusetts', 'Michigan', 'Minnesota',\n",
       "       'Mississippi', 'Missouri', 'Montana', 'Nebraska', 'Nevada',\n",
       "       'New Hampshire', 'New Jersey', 'New Mexico', 'New York',\n",
       "       'North Carolina', 'North Dakota', 'Ohio', 'Oklahoma', 'Oregon',\n",
       "       'Pennsylvania', 'Puerto Rico', 'Rhode Island', 'South Carolina',\n",
       "       'South Dakota', 'Tennessee', 'Texas', 'Unspecified', 'Utah', 'Vermont',\n",
       "       'Virginia', 'Washington', 'Washington DC', 'West Virginia', 'Wisconsin',\n",
       "       'Wyoming'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_temp.state.cat.categories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "4fecc989",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "205615    43\n",
       "274835     8\n",
       "141296     8\n",
       "212552     8\n",
       "62755      8\n",
       "          ..\n",
       "410879     4\n",
       "412476     4\n",
       "411927     4\n",
       "407124     4\n",
       "409203     4\n",
       "Length: 412698, dtype: int8"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_temp.state.cat.codes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe885418",
   "metadata": {},
   "source": [
    "Thanks to pandas Categories we have a way to access all of our data in te form of numbers.\n",
    "But we still have a bunch of missing data..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "5b6b3ac1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SalesID                     0.000000\n",
       "SalePrice                   0.000000\n",
       "MachineID                   0.000000\n",
       "ModelID                     0.000000\n",
       "datasource                  0.000000\n",
       "auctioneerID                0.048791\n",
       "YearMade                    0.000000\n",
       "MachineHoursCurrentMeter    0.642586\n",
       "UsageBand                   0.821492\n",
       "fiModelDesc                 0.000000\n",
       "fiBaseModel                 0.000000\n",
       "fiSecondaryDesc             0.340993\n",
       "fiModelSeries               0.857845\n",
       "fiModelDescriptor           0.818715\n",
       "ProductSize                 0.524851\n",
       "fiProductClassDesc          0.000000\n",
       "state                       0.000000\n",
       "ProductGroup                0.000000\n",
       "ProductGroupDesc            0.000000\n",
       "Drive_System                0.740520\n",
       "Enclosure                   0.000809\n",
       "Forks                       0.520921\n",
       "Pad_Type                    0.803498\n",
       "Ride_Control                0.629928\n",
       "Stick                       0.803498\n",
       "Transmission                0.544444\n",
       "Turbocharged                0.803498\n",
       "Blade_Extension             0.937041\n",
       "Blade_Width                 0.937041\n",
       "Enclosure_Type              0.937041\n",
       "Engine_Horsepower           0.937041\n",
       "Hydraulics                  0.200062\n",
       "Pushblock                   0.937041\n",
       "Ripper                      0.740864\n",
       "Scarifier                   0.937014\n",
       "Tip_Control                 0.937041\n",
       "Tire_Size                   0.763415\n",
       "Coupler                     0.465277\n",
       "Coupler_System              0.891024\n",
       "Grouser_Tracks              0.891264\n",
       "Hydraulics_Flow             0.891264\n",
       "Track_Type                  0.752378\n",
       "Undercarriage_Pad_Width     0.750626\n",
       "Stick_Length                0.752213\n",
       "Thumb                       0.752041\n",
       "Pattern_Changer             0.752213\n",
       "Grouser_Type                0.752378\n",
       "Backhoe_Mounting            0.804428\n",
       "Blade_Type                  0.801610\n",
       "Travel_Controls             0.801606\n",
       "Differential_Type           0.826595\n",
       "Steering_Controls           0.826697\n",
       "saleYear                    0.000000\n",
       "saleMonth                   0.000000\n",
       "saleDay                     0.000000\n",
       "saleDayOfWeek               0.000000\n",
       "saleDayOfYear               0.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check missing data\n",
    "df_temp.isnull().sum()/len(df_temp)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3d55fb89",
   "metadata": {},
   "source": [
    "## Save preprocessed data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "2ebcf92a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Export current temp dataframe\n",
    "df_temp.to_csv(\"data/bluebook-for-bulldozers/train_temp.csv\",\n",
    "              index = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "c95729c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import preprocessed data\n",
    "df_temp = pd.read_csv(\"data/bluebook-for-bulldozers/train_temp.csv\",\n",
    "                     low_memory=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "ea6f9ada",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>SalesID</th>\n",
       "      <td>1646770</td>\n",
       "      <td>1821514</td>\n",
       "      <td>1505138</td>\n",
       "      <td>1671174</td>\n",
       "      <td>1329056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SalePrice</th>\n",
       "      <td>9500.0</td>\n",
       "      <td>14000.0</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>16000.0</td>\n",
       "      <td>22000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MachineID</th>\n",
       "      <td>1126363</td>\n",
       "      <td>1194089</td>\n",
       "      <td>1473654</td>\n",
       "      <td>1327630</td>\n",
       "      <td>1336053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ModelID</th>\n",
       "      <td>8434</td>\n",
       "      <td>10150</td>\n",
       "      <td>4139</td>\n",
       "      <td>8591</td>\n",
       "      <td>4089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datasource</th>\n",
       "      <td>132</td>\n",
       "      <td>132</td>\n",
       "      <td>132</td>\n",
       "      <td>132</td>\n",
       "      <td>132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>auctioneerID</th>\n",
       "      <td>18.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>99.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YearMade</th>\n",
       "      <td>1974</td>\n",
       "      <td>1980</td>\n",
       "      <td>1978</td>\n",
       "      <td>1980</td>\n",
       "      <td>1984</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MachineHoursCurrentMeter</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UsageBand</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fiModelDesc</th>\n",
       "      <td>TD20</td>\n",
       "      <td>A66</td>\n",
       "      <td>D7G</td>\n",
       "      <td>A62</td>\n",
       "      <td>D3B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fiBaseModel</th>\n",
       "      <td>TD20</td>\n",
       "      <td>A66</td>\n",
       "      <td>D7</td>\n",
       "      <td>A62</td>\n",
       "      <td>D3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fiSecondaryDesc</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>G</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fiModelSeries</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fiModelDescriptor</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ProductSize</th>\n",
       "      <td>Medium</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Large</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fiProductClassDesc</th>\n",
       "      <td>Track Type Tractor, Dozer - 105.0 to 130.0 Horsepower</td>\n",
       "      <td>Wheel Loader - 120.0 to 135.0 Horsepower</td>\n",
       "      <td>Track Type Tractor, Dozer - 190.0 to 260.0 Horsepower</td>\n",
       "      <td>Wheel Loader - Unidentified</td>\n",
       "      <td>Track Type Tractor, Dozer - 20.0 to 75.0 Horsepower</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>state</th>\n",
       "      <td>Texas</td>\n",
       "      <td>Florida</td>\n",
       "      <td>Florida</td>\n",
       "      <td>Florida</td>\n",
       "      <td>Florida</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ProductGroup</th>\n",
       "      <td>TTT</td>\n",
       "      <td>WL</td>\n",
       "      <td>TTT</td>\n",
       "      <td>WL</td>\n",
       "      <td>TTT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ProductGroupDesc</th>\n",
       "      <td>Track Type Tractors</td>\n",
       "      <td>Wheel Loader</td>\n",
       "      <td>Track Type Tractors</td>\n",
       "      <td>Wheel Loader</td>\n",
       "      <td>Track Type Tractors</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drive_System</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Enclosure</th>\n",
       "      <td>OROPS</td>\n",
       "      <td>OROPS</td>\n",
       "      <td>OROPS</td>\n",
       "      <td>EROPS</td>\n",
       "      <td>OROPS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Forks</th>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pad_Type</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ride_Control</th>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stick</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Transmission</th>\n",
       "      <td>Direct Drive</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Standard</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Standard</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Turbocharged</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Blade_Extension</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Blade_Width</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Enclosure_Type</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Engine_Horsepower</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hydraulics</th>\n",
       "      <td>2 Valve</td>\n",
       "      <td>2 Valve</td>\n",
       "      <td>2 Valve</td>\n",
       "      <td>2 Valve</td>\n",
       "      <td>2 Valve</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pushblock</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ripper</th>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Scarifier</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tip_Control</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tire_Size</th>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Coupler</th>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Coupler_System</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Grouser_Tracks</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hydraulics_Flow</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Track_Type</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Undercarriage_Pad_Width</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stick_Length</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thumb</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pattern_Changer</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Grouser_Type</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Backhoe_Mounting</th>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Blade_Type</th>\n",
       "      <td>Straight</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Straight</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PAT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Travel_Controls</th>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Lever</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Differential_Type</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Standard</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Standard</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Steering_Controls</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Conventional</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Conventional</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>saleYear</th>\n",
       "      <td>1989</td>\n",
       "      <td>1989</td>\n",
       "      <td>1989</td>\n",
       "      <td>1989</td>\n",
       "      <td>1989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>saleMonth</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>saleDay</th>\n",
       "      <td>17</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>saleDayOfWeek</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>saleDayOfYear</th>\n",
       "      <td>17</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                              0  \\\n",
       "SalesID                                                                 1646770   \n",
       "SalePrice                                                                9500.0   \n",
       "MachineID                                                               1126363   \n",
       "ModelID                                                                    8434   \n",
       "datasource                                                                  132   \n",
       "auctioneerID                                                               18.0   \n",
       "YearMade                                                                   1974   \n",
       "MachineHoursCurrentMeter                                                    NaN   \n",
       "UsageBand                                                                   NaN   \n",
       "fiModelDesc                                                                TD20   \n",
       "fiBaseModel                                                                TD20   \n",
       "fiSecondaryDesc                                                             NaN   \n",
       "fiModelSeries                                                               NaN   \n",
       "fiModelDescriptor                                                           NaN   \n",
       "ProductSize                                                              Medium   \n",
       "fiProductClassDesc        Track Type Tractor, Dozer - 105.0 to 130.0 Horsepower   \n",
       "state                                                                     Texas   \n",
       "ProductGroup                                                                TTT   \n",
       "ProductGroupDesc                                            Track Type Tractors   \n",
       "Drive_System                                                                NaN   \n",
       "Enclosure                                                                 OROPS   \n",
       "Forks                                                                       NaN   \n",
       "Pad_Type                                                                    NaN   \n",
       "Ride_Control                                                                NaN   \n",
       "Stick                                                                       NaN   \n",
       "Transmission                                                       Direct Drive   \n",
       "Turbocharged                                                                NaN   \n",
       "Blade_Extension                                                             NaN   \n",
       "Blade_Width                                                                 NaN   \n",
       "Enclosure_Type                                                              NaN   \n",
       "Engine_Horsepower                                                           NaN   \n",
       "Hydraulics                                                              2 Valve   \n",
       "Pushblock                                                                   NaN   \n",
       "Ripper                                                      None or Unspecified   \n",
       "Scarifier                                                                   NaN   \n",
       "Tip_Control                                                                 NaN   \n",
       "Tire_Size                                                                   NaN   \n",
       "Coupler                                                                     NaN   \n",
       "Coupler_System                                                              NaN   \n",
       "Grouser_Tracks                                                              NaN   \n",
       "Hydraulics_Flow                                                             NaN   \n",
       "Track_Type                                                                  NaN   \n",
       "Undercarriage_Pad_Width                                                     NaN   \n",
       "Stick_Length                                                                NaN   \n",
       "Thumb                                                                       NaN   \n",
       "Pattern_Changer                                                             NaN   \n",
       "Grouser_Type                                                                NaN   \n",
       "Backhoe_Mounting                                            None or Unspecified   \n",
       "Blade_Type                                                             Straight   \n",
       "Travel_Controls                                             None or Unspecified   \n",
       "Differential_Type                                                           NaN   \n",
       "Steering_Controls                                                           NaN   \n",
       "saleYear                                                                   1989   \n",
       "saleMonth                                                                     1   \n",
       "saleDay                                                                      17   \n",
       "saleDayOfWeek                                                                 1   \n",
       "saleDayOfYear                                                                17   \n",
       "\n",
       "                                                                 1  \\\n",
       "SalesID                                                    1821514   \n",
       "SalePrice                                                  14000.0   \n",
       "MachineID                                                  1194089   \n",
       "ModelID                                                      10150   \n",
       "datasource                                                     132   \n",
       "auctioneerID                                                  99.0   \n",
       "YearMade                                                      1980   \n",
       "MachineHoursCurrentMeter                                       NaN   \n",
       "UsageBand                                                      NaN   \n",
       "fiModelDesc                                                    A66   \n",
       "fiBaseModel                                                    A66   \n",
       "fiSecondaryDesc                                                NaN   \n",
       "fiModelSeries                                                  NaN   \n",
       "fiModelDescriptor                                              NaN   \n",
       "ProductSize                                                    NaN   \n",
       "fiProductClassDesc        Wheel Loader - 120.0 to 135.0 Horsepower   \n",
       "state                                                      Florida   \n",
       "ProductGroup                                                    WL   \n",
       "ProductGroupDesc                                      Wheel Loader   \n",
       "Drive_System                                                   NaN   \n",
       "Enclosure                                                    OROPS   \n",
       "Forks                                          None or Unspecified   \n",
       "Pad_Type                                                       NaN   \n",
       "Ride_Control                                   None or Unspecified   \n",
       "Stick                                                          NaN   \n",
       "Transmission                                                   NaN   \n",
       "Turbocharged                                                   NaN   \n",
       "Blade_Extension                                                NaN   \n",
       "Blade_Width                                                    NaN   \n",
       "Enclosure_Type                                                 NaN   \n",
       "Engine_Horsepower                                              NaN   \n",
       "Hydraulics                                                 2 Valve   \n",
       "Pushblock                                                      NaN   \n",
       "Ripper                                                         NaN   \n",
       "Scarifier                                                      NaN   \n",
       "Tip_Control                                                    NaN   \n",
       "Tire_Size                                      None or Unspecified   \n",
       "Coupler                                        None or Unspecified   \n",
       "Coupler_System                                                 NaN   \n",
       "Grouser_Tracks                                                 NaN   \n",
       "Hydraulics_Flow                                                NaN   \n",
       "Track_Type                                                     NaN   \n",
       "Undercarriage_Pad_Width                                        NaN   \n",
       "Stick_Length                                                   NaN   \n",
       "Thumb                                                          NaN   \n",
       "Pattern_Changer                                                NaN   \n",
       "Grouser_Type                                                   NaN   \n",
       "Backhoe_Mounting                                               NaN   \n",
       "Blade_Type                                                     NaN   \n",
       "Travel_Controls                                                NaN   \n",
       "Differential_Type                                         Standard   \n",
       "Steering_Controls                                     Conventional   \n",
       "saleYear                                                      1989   \n",
       "saleMonth                                                        1   \n",
       "saleDay                                                         31   \n",
       "saleDayOfWeek                                                    1   \n",
       "saleDayOfYear                                                   31   \n",
       "\n",
       "                                                                              2  \\\n",
       "SalesID                                                                 1505138   \n",
       "SalePrice                                                               50000.0   \n",
       "MachineID                                                               1473654   \n",
       "ModelID                                                                    4139   \n",
       "datasource                                                                  132   \n",
       "auctioneerID                                                               99.0   \n",
       "YearMade                                                                   1978   \n",
       "MachineHoursCurrentMeter                                                    NaN   \n",
       "UsageBand                                                                   NaN   \n",
       "fiModelDesc                                                                 D7G   \n",
       "fiBaseModel                                                                  D7   \n",
       "fiSecondaryDesc                                                               G   \n",
       "fiModelSeries                                                               NaN   \n",
       "fiModelDescriptor                                                           NaN   \n",
       "ProductSize                                                               Large   \n",
       "fiProductClassDesc        Track Type Tractor, Dozer - 190.0 to 260.0 Horsepower   \n",
       "state                                                                   Florida   \n",
       "ProductGroup                                                                TTT   \n",
       "ProductGroupDesc                                            Track Type Tractors   \n",
       "Drive_System                                                                NaN   \n",
       "Enclosure                                                                 OROPS   \n",
       "Forks                                                                       NaN   \n",
       "Pad_Type                                                                    NaN   \n",
       "Ride_Control                                                                NaN   \n",
       "Stick                                                                       NaN   \n",
       "Transmission                                                           Standard   \n",
       "Turbocharged                                                                NaN   \n",
       "Blade_Extension                                                             NaN   \n",
       "Blade_Width                                                                 NaN   \n",
       "Enclosure_Type                                                              NaN   \n",
       "Engine_Horsepower                                                           NaN   \n",
       "Hydraulics                                                              2 Valve   \n",
       "Pushblock                                                                   NaN   \n",
       "Ripper                                                      None or Unspecified   \n",
       "Scarifier                                                                   NaN   \n",
       "Tip_Control                                                                 NaN   \n",
       "Tire_Size                                                                   NaN   \n",
       "Coupler                                                                     NaN   \n",
       "Coupler_System                                                              NaN   \n",
       "Grouser_Tracks                                                              NaN   \n",
       "Hydraulics_Flow                                                             NaN   \n",
       "Track_Type                                                                  NaN   \n",
       "Undercarriage_Pad_Width                                                     NaN   \n",
       "Stick_Length                                                                NaN   \n",
       "Thumb                                                                       NaN   \n",
       "Pattern_Changer                                                             NaN   \n",
       "Grouser_Type                                                                NaN   \n",
       "Backhoe_Mounting                                            None or Unspecified   \n",
       "Blade_Type                                                             Straight   \n",
       "Travel_Controls                                             None or Unspecified   \n",
       "Differential_Type                                                           NaN   \n",
       "Steering_Controls                                                           NaN   \n",
       "saleYear                                                                   1989   \n",
       "saleMonth                                                                     1   \n",
       "saleDay                                                                      31   \n",
       "saleDayOfWeek                                                                 1   \n",
       "saleDayOfYear                                                                31   \n",
       "\n",
       "                                                    3  \\\n",
       "SalesID                                       1671174   \n",
       "SalePrice                                     16000.0   \n",
       "MachineID                                     1327630   \n",
       "ModelID                                          8591   \n",
       "datasource                                        132   \n",
       "auctioneerID                                     99.0   \n",
       "YearMade                                         1980   \n",
       "MachineHoursCurrentMeter                          NaN   \n",
       "UsageBand                                         NaN   \n",
       "fiModelDesc                                       A62   \n",
       "fiBaseModel                                       A62   \n",
       "fiSecondaryDesc                                   NaN   \n",
       "fiModelSeries                                     NaN   \n",
       "fiModelDescriptor                                 NaN   \n",
       "ProductSize                                       NaN   \n",
       "fiProductClassDesc        Wheel Loader - Unidentified   \n",
       "state                                         Florida   \n",
       "ProductGroup                                       WL   \n",
       "ProductGroupDesc                         Wheel Loader   \n",
       "Drive_System                                      NaN   \n",
       "Enclosure                                       EROPS   \n",
       "Forks                             None or Unspecified   \n",
       "Pad_Type                                          NaN   \n",
       "Ride_Control                      None or Unspecified   \n",
       "Stick                                             NaN   \n",
       "Transmission                                      NaN   \n",
       "Turbocharged                                      NaN   \n",
       "Blade_Extension                                   NaN   \n",
       "Blade_Width                                       NaN   \n",
       "Enclosure_Type                                    NaN   \n",
       "Engine_Horsepower                                 NaN   \n",
       "Hydraulics                                    2 Valve   \n",
       "Pushblock                                         NaN   \n",
       "Ripper                                            NaN   \n",
       "Scarifier                                         NaN   \n",
       "Tip_Control                                       NaN   \n",
       "Tire_Size                         None or Unspecified   \n",
       "Coupler                           None or Unspecified   \n",
       "Coupler_System                                    NaN   \n",
       "Grouser_Tracks                                    NaN   \n",
       "Hydraulics_Flow                                   NaN   \n",
       "Track_Type                                        NaN   \n",
       "Undercarriage_Pad_Width                           NaN   \n",
       "Stick_Length                                      NaN   \n",
       "Thumb                                             NaN   \n",
       "Pattern_Changer                                   NaN   \n",
       "Grouser_Type                                      NaN   \n",
       "Backhoe_Mounting                                  NaN   \n",
       "Blade_Type                                        NaN   \n",
       "Travel_Controls                                   NaN   \n",
       "Differential_Type                            Standard   \n",
       "Steering_Controls                        Conventional   \n",
       "saleYear                                         1989   \n",
       "saleMonth                                           1   \n",
       "saleDay                                            31   \n",
       "saleDayOfWeek                                       1   \n",
       "saleDayOfYear                                      31   \n",
       "\n",
       "                                                                            4  \n",
       "SalesID                                                               1329056  \n",
       "SalePrice                                                             22000.0  \n",
       "MachineID                                                             1336053  \n",
       "ModelID                                                                  4089  \n",
       "datasource                                                                132  \n",
       "auctioneerID                                                             99.0  \n",
       "YearMade                                                                 1984  \n",
       "MachineHoursCurrentMeter                                                  NaN  \n",
       "UsageBand                                                                 NaN  \n",
       "fiModelDesc                                                               D3B  \n",
       "fiBaseModel                                                                D3  \n",
       "fiSecondaryDesc                                                             B  \n",
       "fiModelSeries                                                             NaN  \n",
       "fiModelDescriptor                                                         NaN  \n",
       "ProductSize                                                               NaN  \n",
       "fiProductClassDesc        Track Type Tractor, Dozer - 20.0 to 75.0 Horsepower  \n",
       "state                                                                 Florida  \n",
       "ProductGroup                                                              TTT  \n",
       "ProductGroupDesc                                          Track Type Tractors  \n",
       "Drive_System                                                              NaN  \n",
       "Enclosure                                                               OROPS  \n",
       "Forks                                                                     NaN  \n",
       "Pad_Type                                                                  NaN  \n",
       "Ride_Control                                                              NaN  \n",
       "Stick                                                                     NaN  \n",
       "Transmission                                                         Standard  \n",
       "Turbocharged                                                              NaN  \n",
       "Blade_Extension                                                           NaN  \n",
       "Blade_Width                                                               NaN  \n",
       "Enclosure_Type                                                            NaN  \n",
       "Engine_Horsepower                                                         NaN  \n",
       "Hydraulics                                                            2 Valve  \n",
       "Pushblock                                                                 NaN  \n",
       "Ripper                                                    None or Unspecified  \n",
       "Scarifier                                                                 NaN  \n",
       "Tip_Control                                                               NaN  \n",
       "Tire_Size                                                                 NaN  \n",
       "Coupler                                                                   NaN  \n",
       "Coupler_System                                                            NaN  \n",
       "Grouser_Tracks                                                            NaN  \n",
       "Hydraulics_Flow                                                           NaN  \n",
       "Track_Type                                                                NaN  \n",
       "Undercarriage_Pad_Width                                                   NaN  \n",
       "Stick_Length                                                              NaN  \n",
       "Thumb                                                                     NaN  \n",
       "Pattern_Changer                                                           NaN  \n",
       "Grouser_Type                                                              NaN  \n",
       "Backhoe_Mounting                                          None or Unspecified  \n",
       "Blade_Type                                                                PAT  \n",
       "Travel_Controls                                                         Lever  \n",
       "Differential_Type                                                         NaN  \n",
       "Steering_Controls                                                         NaN  \n",
       "saleYear                                                                 1989  \n",
       "saleMonth                                                                   1  \n",
       "saleDay                                                                    31  \n",
       "saleDayOfWeek                                                               1  \n",
       "saleDayOfYear                                                              31  "
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_temp.head().T"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "840d8f3d",
   "metadata": {},
   "source": [
    "## Split data into Train and Validation sets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "798f220e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(11573, 401125)"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_val = df_temp[df_temp.saleYear == 2012]\n",
    "df_train = df_temp[df_temp.saleYear != 2012]\n",
    "\n",
    "len(df_val), len(df_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "023b9d49",
   "metadata": {},
   "source": [
    "## Fill missing values\n",
    "\n",
    "### Fill numerical missing values first"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4281b6e5",
   "metadata": {},
   "source": [
    "#### Working on training set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "f9afda6b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SalesID\n",
      "SalePrice\n",
      "MachineID\n",
      "ModelID\n",
      "datasource\n",
      "auctioneerID\n",
      "YearMade\n",
      "MachineHoursCurrentMeter\n",
      "saleYear\n",
      "saleMonth\n",
      "saleDay\n",
      "saleDayOfWeek\n",
      "saleDayOfYear\n"
     ]
    }
   ],
   "source": [
    " for label, content in df_train.items():\n",
    "    if pd.api.types.is_numeric_dtype(content):\n",
    "        print(label)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "04a4a529",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0          8434\n",
       "1         10150\n",
       "2          4139\n",
       "3          8591\n",
       "4          4089\n",
       "          ...  \n",
       "401120     4331\n",
       "401121     9580\n",
       "401122     9580\n",
       "401123    17432\n",
       "401124     4102\n",
       "Name: ModelID, Length: 401125, dtype: int64"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_train.ModelID"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "c8ccde3f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "auctioneerID\n",
      "MachineHoursCurrentMeter\n"
     ]
    }
   ],
   "source": [
    "# Check for which numneric values have null values\n",
    "for label, content in df_train.items():\n",
    "    if pd.api.types.is_numeric_dtype(content):\n",
    "        if pd.isnull(content).sum():\n",
    "            print(label)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "970af968",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Fill numeric rows with the median\n",
    "df_train = df_train.copy()\n",
    "for label, content in df_train.items():\n",
    "    if pd.api.types.is_numeric_dtype(content):\n",
    "        if pd.isnull(content).sum():\n",
    "            # Fill missing numeric values with median\n",
    "            df_train.loc[:, str(label)] = content.fillna(content.median())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "5243a4f8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SalesID</th>\n",
       "      <th>SalePrice</th>\n",
       "      <th>MachineID</th>\n",
       "      <th>ModelID</th>\n",
       "      <th>datasource</th>\n",
       "      <th>auctioneerID</th>\n",
       "      <th>YearMade</th>\n",
       "      <th>MachineHoursCurrentMeter</th>\n",
       "      <th>UsageBand</th>\n",
       "      <th>fiModelDesc</th>\n",
       "      <th>...</th>\n",
       "      <th>Backhoe_Mounting</th>\n",
       "      <th>Blade_Type</th>\n",
       "      <th>Travel_Controls</th>\n",
       "      <th>Differential_Type</th>\n",
       "      <th>Steering_Controls</th>\n",
       "      <th>saleYear</th>\n",
       "      <th>saleMonth</th>\n",
       "      <th>saleDay</th>\n",
       "      <th>saleDayOfWeek</th>\n",
       "      <th>saleDayOfYear</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1646770</td>\n",
       "      <td>9500.0</td>\n",
       "      <td>1126363</td>\n",
       "      <td>8434</td>\n",
       "      <td>132</td>\n",
       "      <td>18.0</td>\n",
       "      <td>1974</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TD20</td>\n",
       "      <td>...</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>Straight</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1989</td>\n",
       "      <td>1</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1821514</td>\n",
       "      <td>14000.0</td>\n",
       "      <td>1194089</td>\n",
       "      <td>10150</td>\n",
       "      <td>132</td>\n",
       "      <td>99.0</td>\n",
       "      <td>1980</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>A66</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Standard</td>\n",
       "      <td>Conventional</td>\n",
       "      <td>1989</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1505138</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>1473654</td>\n",
       "      <td>4139</td>\n",
       "      <td>132</td>\n",
       "      <td>99.0</td>\n",
       "      <td>1978</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>D7G</td>\n",
       "      <td>...</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>Straight</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1989</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1671174</td>\n",
       "      <td>16000.0</td>\n",
       "      <td>1327630</td>\n",
       "      <td>8591</td>\n",
       "      <td>132</td>\n",
       "      <td>99.0</td>\n",
       "      <td>1980</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>A62</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Standard</td>\n",
       "      <td>Conventional</td>\n",
       "      <td>1989</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1329056</td>\n",
       "      <td>22000.0</td>\n",
       "      <td>1336053</td>\n",
       "      <td>4089</td>\n",
       "      <td>132</td>\n",
       "      <td>99.0</td>\n",
       "      <td>1984</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>D3B</td>\n",
       "      <td>...</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>PAT</td>\n",
       "      <td>Lever</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1989</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>401120</th>\n",
       "      <td>6260687</td>\n",
       "      <td>29000.0</td>\n",
       "      <td>1074871</td>\n",
       "      <td>4331</td>\n",
       "      <td>149</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IT28B</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Standard</td>\n",
       "      <td>Conventional</td>\n",
       "      <td>2011</td>\n",
       "      <td>12</td>\n",
       "      <td>30</td>\n",
       "      <td>4</td>\n",
       "      <td>364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>401121</th>\n",
       "      <td>6312170</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>1812622</td>\n",
       "      <td>9580</td>\n",
       "      <td>149</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2005</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T190</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2011</td>\n",
       "      <td>12</td>\n",
       "      <td>30</td>\n",
       "      <td>4</td>\n",
       "      <td>364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>401122</th>\n",
       "      <td>6312727</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>1811599</td>\n",
       "      <td>9580</td>\n",
       "      <td>149</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2005</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T190</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2011</td>\n",
       "      <td>12</td>\n",
       "      <td>30</td>\n",
       "      <td>4</td>\n",
       "      <td>364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>401123</th>\n",
       "      <td>6315051</td>\n",
       "      <td>18000.0</td>\n",
       "      <td>1858173</td>\n",
       "      <td>17432</td>\n",
       "      <td>149</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2004</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>LB75</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2011</td>\n",
       "      <td>12</td>\n",
       "      <td>30</td>\n",
       "      <td>4</td>\n",
       "      <td>364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>401124</th>\n",
       "      <td>6260878</td>\n",
       "      <td>13500.0</td>\n",
       "      <td>1799594</td>\n",
       "      <td>4102</td>\n",
       "      <td>149</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>D4C</td>\n",
       "      <td>...</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>PAT</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2011</td>\n",
       "      <td>12</td>\n",
       "      <td>30</td>\n",
       "      <td>4</td>\n",
       "      <td>364</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>401125 rows × 57 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        SalesID  SalePrice  MachineID  ModelID  datasource  auctioneerID  \\\n",
       "0       1646770     9500.0    1126363     8434         132          18.0   \n",
       "1       1821514    14000.0    1194089    10150         132          99.0   \n",
       "2       1505138    50000.0    1473654     4139         132          99.0   \n",
       "3       1671174    16000.0    1327630     8591         132          99.0   \n",
       "4       1329056    22000.0    1336053     4089         132          99.0   \n",
       "...         ...        ...        ...      ...         ...           ...   \n",
       "401120  6260687    29000.0    1074871     4331         149           2.0   \n",
       "401121  6312170    11000.0    1812622     9580         149           2.0   \n",
       "401122  6312727    11000.0    1811599     9580         149           2.0   \n",
       "401123  6315051    18000.0    1858173    17432         149           2.0   \n",
       "401124  6260878    13500.0    1799594     4102         149           2.0   \n",
       "\n",
       "        YearMade  MachineHoursCurrentMeter UsageBand fiModelDesc  ...  \\\n",
       "0           1974                       0.0       NaN        TD20  ...   \n",
       "1           1980                       0.0       NaN         A66  ...   \n",
       "2           1978                       0.0       NaN         D7G  ...   \n",
       "3           1980                       0.0       NaN         A62  ...   \n",
       "4           1984                       0.0       NaN         D3B  ...   \n",
       "...          ...                       ...       ...         ...  ...   \n",
       "401120      1000                       0.0       NaN       IT28B  ...   \n",
       "401121      2005                       0.0       NaN        T190  ...   \n",
       "401122      2005                       0.0       NaN        T190  ...   \n",
       "401123      2004                       0.0       NaN        LB75  ...   \n",
       "401124      1000                       0.0       NaN         D4C  ...   \n",
       "\n",
       "           Backhoe_Mounting Blade_Type      Travel_Controls Differential_Type  \\\n",
       "0       None or Unspecified   Straight  None or Unspecified               NaN   \n",
       "1                       NaN        NaN                  NaN          Standard   \n",
       "2       None or Unspecified   Straight  None or Unspecified               NaN   \n",
       "3                       NaN        NaN                  NaN          Standard   \n",
       "4       None or Unspecified        PAT                Lever               NaN   \n",
       "...                     ...        ...                  ...               ...   \n",
       "401120                  NaN        NaN                  NaN          Standard   \n",
       "401121                  NaN        NaN                  NaN               NaN   \n",
       "401122                  NaN        NaN                  NaN               NaN   \n",
       "401123                  NaN        NaN                  NaN               NaN   \n",
       "401124  None or Unspecified        PAT  None or Unspecified               NaN   \n",
       "\n",
       "       Steering_Controls saleYear saleMonth saleDay saleDayOfWeek  \\\n",
       "0                    NaN     1989         1      17             1   \n",
       "1           Conventional     1989         1      31             1   \n",
       "2                    NaN     1989         1      31             1   \n",
       "3           Conventional     1989         1      31             1   \n",
       "4                    NaN     1989         1      31             1   \n",
       "...                  ...      ...       ...     ...           ...   \n",
       "401120      Conventional     2011        12      30             4   \n",
       "401121               NaN     2011        12      30             4   \n",
       "401122               NaN     2011        12      30             4   \n",
       "401123               NaN     2011        12      30             4   \n",
       "401124               NaN     2011        12      30             4   \n",
       "\n",
       "       saleDayOfYear  \n",
       "0                 17  \n",
       "1                 31  \n",
       "2                 31  \n",
       "3                 31  \n",
       "4                 31  \n",
       "...              ...  \n",
       "401120           364  \n",
       "401121           364  \n",
       "401122           364  \n",
       "401123           364  \n",
       "401124           364  \n",
       "\n",
       "[401125 rows x 57 columns]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "cca329a8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Check if there's any null numeric value\n",
    "for label, content in df_train.items():\n",
    "    if pd.api.types.is_numeric_dtype(content):\n",
    "        if pd.isnull(content).sum():\n",
    "            print(label)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "acc0e502",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>SalesID</th>\n",
       "      <td>1646770</td>\n",
       "      <td>1821514</td>\n",
       "      <td>1505138</td>\n",
       "      <td>1671174</td>\n",
       "      <td>1329056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SalePrice</th>\n",
       "      <td>9500.0</td>\n",
       "      <td>14000.0</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>16000.0</td>\n",
       "      <td>22000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MachineID</th>\n",
       "      <td>1126363</td>\n",
       "      <td>1194089</td>\n",
       "      <td>1473654</td>\n",
       "      <td>1327630</td>\n",
       "      <td>1336053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ModelID</th>\n",
       "      <td>8434</td>\n",
       "      <td>10150</td>\n",
       "      <td>4139</td>\n",
       "      <td>8591</td>\n",
       "      <td>4089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datasource</th>\n",
       "      <td>132</td>\n",
       "      <td>132</td>\n",
       "      <td>132</td>\n",
       "      <td>132</td>\n",
       "      <td>132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>auctioneerID</th>\n",
       "      <td>18.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>99.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YearMade</th>\n",
       "      <td>1974</td>\n",
       "      <td>1980</td>\n",
       "      <td>1978</td>\n",
       "      <td>1980</td>\n",
       "      <td>1984</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MachineHoursCurrentMeter</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UsageBand</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fiModelDesc</th>\n",
       "      <td>TD20</td>\n",
       "      <td>A66</td>\n",
       "      <td>D7G</td>\n",
       "      <td>A62</td>\n",
       "      <td>D3B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fiBaseModel</th>\n",
       "      <td>TD20</td>\n",
       "      <td>A66</td>\n",
       "      <td>D7</td>\n",
       "      <td>A62</td>\n",
       "      <td>D3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fiSecondaryDesc</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>G</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fiModelSeries</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fiModelDescriptor</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ProductSize</th>\n",
       "      <td>Medium</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Large</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fiProductClassDesc</th>\n",
       "      <td>Track Type Tractor, Dozer - 105.0 to 130.0 Horsepower</td>\n",
       "      <td>Wheel Loader - 120.0 to 135.0 Horsepower</td>\n",
       "      <td>Track Type Tractor, Dozer - 190.0 to 260.0 Horsepower</td>\n",
       "      <td>Wheel Loader - Unidentified</td>\n",
       "      <td>Track Type Tractor, Dozer - 20.0 to 75.0 Horsepower</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>state</th>\n",
       "      <td>Texas</td>\n",
       "      <td>Florida</td>\n",
       "      <td>Florida</td>\n",
       "      <td>Florida</td>\n",
       "      <td>Florida</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ProductGroup</th>\n",
       "      <td>TTT</td>\n",
       "      <td>WL</td>\n",
       "      <td>TTT</td>\n",
       "      <td>WL</td>\n",
       "      <td>TTT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ProductGroupDesc</th>\n",
       "      <td>Track Type Tractors</td>\n",
       "      <td>Wheel Loader</td>\n",
       "      <td>Track Type Tractors</td>\n",
       "      <td>Wheel Loader</td>\n",
       "      <td>Track Type Tractors</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drive_System</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Enclosure</th>\n",
       "      <td>OROPS</td>\n",
       "      <td>OROPS</td>\n",
       "      <td>OROPS</td>\n",
       "      <td>EROPS</td>\n",
       "      <td>OROPS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Forks</th>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pad_Type</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ride_Control</th>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stick</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Transmission</th>\n",
       "      <td>Direct Drive</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Standard</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Standard</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Turbocharged</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Blade_Extension</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Blade_Width</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Enclosure_Type</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Engine_Horsepower</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hydraulics</th>\n",
       "      <td>2 Valve</td>\n",
       "      <td>2 Valve</td>\n",
       "      <td>2 Valve</td>\n",
       "      <td>2 Valve</td>\n",
       "      <td>2 Valve</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pushblock</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ripper</th>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Scarifier</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tip_Control</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tire_Size</th>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Coupler</th>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Coupler_System</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Grouser_Tracks</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hydraulics_Flow</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Track_Type</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Undercarriage_Pad_Width</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stick_Length</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thumb</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pattern_Changer</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Grouser_Type</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Backhoe_Mounting</th>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Blade_Type</th>\n",
       "      <td>Straight</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Straight</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PAT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Travel_Controls</th>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Lever</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Differential_Type</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Standard</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Standard</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Steering_Controls</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Conventional</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Conventional</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>saleYear</th>\n",
       "      <td>1989</td>\n",
       "      <td>1989</td>\n",
       "      <td>1989</td>\n",
       "      <td>1989</td>\n",
       "      <td>1989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>saleMonth</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>saleDay</th>\n",
       "      <td>17</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>saleDayOfWeek</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>saleDayOfYear</th>\n",
       "      <td>17</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                              0  \\\n",
       "SalesID                                                                 1646770   \n",
       "SalePrice                                                                9500.0   \n",
       "MachineID                                                               1126363   \n",
       "ModelID                                                                    8434   \n",
       "datasource                                                                  132   \n",
       "auctioneerID                                                               18.0   \n",
       "YearMade                                                                   1974   \n",
       "MachineHoursCurrentMeter                                                    0.0   \n",
       "UsageBand                                                                   NaN   \n",
       "fiModelDesc                                                                TD20   \n",
       "fiBaseModel                                                                TD20   \n",
       "fiSecondaryDesc                                                             NaN   \n",
       "fiModelSeries                                                               NaN   \n",
       "fiModelDescriptor                                                           NaN   \n",
       "ProductSize                                                              Medium   \n",
       "fiProductClassDesc        Track Type Tractor, Dozer - 105.0 to 130.0 Horsepower   \n",
       "state                                                                     Texas   \n",
       "ProductGroup                                                                TTT   \n",
       "ProductGroupDesc                                            Track Type Tractors   \n",
       "Drive_System                                                                NaN   \n",
       "Enclosure                                                                 OROPS   \n",
       "Forks                                                                       NaN   \n",
       "Pad_Type                                                                    NaN   \n",
       "Ride_Control                                                                NaN   \n",
       "Stick                                                                       NaN   \n",
       "Transmission                                                       Direct Drive   \n",
       "Turbocharged                                                                NaN   \n",
       "Blade_Extension                                                             NaN   \n",
       "Blade_Width                                                                 NaN   \n",
       "Enclosure_Type                                                              NaN   \n",
       "Engine_Horsepower                                                           NaN   \n",
       "Hydraulics                                                              2 Valve   \n",
       "Pushblock                                                                   NaN   \n",
       "Ripper                                                      None or Unspecified   \n",
       "Scarifier                                                                   NaN   \n",
       "Tip_Control                                                                 NaN   \n",
       "Tire_Size                                                                   NaN   \n",
       "Coupler                                                                     NaN   \n",
       "Coupler_System                                                              NaN   \n",
       "Grouser_Tracks                                                              NaN   \n",
       "Hydraulics_Flow                                                             NaN   \n",
       "Track_Type                                                                  NaN   \n",
       "Undercarriage_Pad_Width                                                     NaN   \n",
       "Stick_Length                                                                NaN   \n",
       "Thumb                                                                       NaN   \n",
       "Pattern_Changer                                                             NaN   \n",
       "Grouser_Type                                                                NaN   \n",
       "Backhoe_Mounting                                            None or Unspecified   \n",
       "Blade_Type                                                             Straight   \n",
       "Travel_Controls                                             None or Unspecified   \n",
       "Differential_Type                                                           NaN   \n",
       "Steering_Controls                                                           NaN   \n",
       "saleYear                                                                   1989   \n",
       "saleMonth                                                                     1   \n",
       "saleDay                                                                      17   \n",
       "saleDayOfWeek                                                                 1   \n",
       "saleDayOfYear                                                                17   \n",
       "\n",
       "                                                                 1  \\\n",
       "SalesID                                                    1821514   \n",
       "SalePrice                                                  14000.0   \n",
       "MachineID                                                  1194089   \n",
       "ModelID                                                      10150   \n",
       "datasource                                                     132   \n",
       "auctioneerID                                                  99.0   \n",
       "YearMade                                                      1980   \n",
       "MachineHoursCurrentMeter                                       0.0   \n",
       "UsageBand                                                      NaN   \n",
       "fiModelDesc                                                    A66   \n",
       "fiBaseModel                                                    A66   \n",
       "fiSecondaryDesc                                                NaN   \n",
       "fiModelSeries                                                  NaN   \n",
       "fiModelDescriptor                                              NaN   \n",
       "ProductSize                                                    NaN   \n",
       "fiProductClassDesc        Wheel Loader - 120.0 to 135.0 Horsepower   \n",
       "state                                                      Florida   \n",
       "ProductGroup                                                    WL   \n",
       "ProductGroupDesc                                      Wheel Loader   \n",
       "Drive_System                                                   NaN   \n",
       "Enclosure                                                    OROPS   \n",
       "Forks                                          None or Unspecified   \n",
       "Pad_Type                                                       NaN   \n",
       "Ride_Control                                   None or Unspecified   \n",
       "Stick                                                          NaN   \n",
       "Transmission                                                   NaN   \n",
       "Turbocharged                                                   NaN   \n",
       "Blade_Extension                                                NaN   \n",
       "Blade_Width                                                    NaN   \n",
       "Enclosure_Type                                                 NaN   \n",
       "Engine_Horsepower                                              NaN   \n",
       "Hydraulics                                                 2 Valve   \n",
       "Pushblock                                                      NaN   \n",
       "Ripper                                                         NaN   \n",
       "Scarifier                                                      NaN   \n",
       "Tip_Control                                                    NaN   \n",
       "Tire_Size                                      None or Unspecified   \n",
       "Coupler                                        None or Unspecified   \n",
       "Coupler_System                                                 NaN   \n",
       "Grouser_Tracks                                                 NaN   \n",
       "Hydraulics_Flow                                                NaN   \n",
       "Track_Type                                                     NaN   \n",
       "Undercarriage_Pad_Width                                        NaN   \n",
       "Stick_Length                                                   NaN   \n",
       "Thumb                                                          NaN   \n",
       "Pattern_Changer                                                NaN   \n",
       "Grouser_Type                                                   NaN   \n",
       "Backhoe_Mounting                                               NaN   \n",
       "Blade_Type                                                     NaN   \n",
       "Travel_Controls                                                NaN   \n",
       "Differential_Type                                         Standard   \n",
       "Steering_Controls                                     Conventional   \n",
       "saleYear                                                      1989   \n",
       "saleMonth                                                        1   \n",
       "saleDay                                                         31   \n",
       "saleDayOfWeek                                                    1   \n",
       "saleDayOfYear                                                   31   \n",
       "\n",
       "                                                                              2  \\\n",
       "SalesID                                                                 1505138   \n",
       "SalePrice                                                               50000.0   \n",
       "MachineID                                                               1473654   \n",
       "ModelID                                                                    4139   \n",
       "datasource                                                                  132   \n",
       "auctioneerID                                                               99.0   \n",
       "YearMade                                                                   1978   \n",
       "MachineHoursCurrentMeter                                                    0.0   \n",
       "UsageBand                                                                   NaN   \n",
       "fiModelDesc                                                                 D7G   \n",
       "fiBaseModel                                                                  D7   \n",
       "fiSecondaryDesc                                                               G   \n",
       "fiModelSeries                                                               NaN   \n",
       "fiModelDescriptor                                                           NaN   \n",
       "ProductSize                                                               Large   \n",
       "fiProductClassDesc        Track Type Tractor, Dozer - 190.0 to 260.0 Horsepower   \n",
       "state                                                                   Florida   \n",
       "ProductGroup                                                                TTT   \n",
       "ProductGroupDesc                                            Track Type Tractors   \n",
       "Drive_System                                                                NaN   \n",
       "Enclosure                                                                 OROPS   \n",
       "Forks                                                                       NaN   \n",
       "Pad_Type                                                                    NaN   \n",
       "Ride_Control                                                                NaN   \n",
       "Stick                                                                       NaN   \n",
       "Transmission                                                           Standard   \n",
       "Turbocharged                                                                NaN   \n",
       "Blade_Extension                                                             NaN   \n",
       "Blade_Width                                                                 NaN   \n",
       "Enclosure_Type                                                              NaN   \n",
       "Engine_Horsepower                                                           NaN   \n",
       "Hydraulics                                                              2 Valve   \n",
       "Pushblock                                                                   NaN   \n",
       "Ripper                                                      None or Unspecified   \n",
       "Scarifier                                                                   NaN   \n",
       "Tip_Control                                                                 NaN   \n",
       "Tire_Size                                                                   NaN   \n",
       "Coupler                                                                     NaN   \n",
       "Coupler_System                                                              NaN   \n",
       "Grouser_Tracks                                                              NaN   \n",
       "Hydraulics_Flow                                                             NaN   \n",
       "Track_Type                                                                  NaN   \n",
       "Undercarriage_Pad_Width                                                     NaN   \n",
       "Stick_Length                                                                NaN   \n",
       "Thumb                                                                       NaN   \n",
       "Pattern_Changer                                                             NaN   \n",
       "Grouser_Type                                                                NaN   \n",
       "Backhoe_Mounting                                            None or Unspecified   \n",
       "Blade_Type                                                             Straight   \n",
       "Travel_Controls                                             None or Unspecified   \n",
       "Differential_Type                                                           NaN   \n",
       "Steering_Controls                                                           NaN   \n",
       "saleYear                                                                   1989   \n",
       "saleMonth                                                                     1   \n",
       "saleDay                                                                      31   \n",
       "saleDayOfWeek                                                                 1   \n",
       "saleDayOfYear                                                                31   \n",
       "\n",
       "                                                    3  \\\n",
       "SalesID                                       1671174   \n",
       "SalePrice                                     16000.0   \n",
       "MachineID                                     1327630   \n",
       "ModelID                                          8591   \n",
       "datasource                                        132   \n",
       "auctioneerID                                     99.0   \n",
       "YearMade                                         1980   \n",
       "MachineHoursCurrentMeter                          0.0   \n",
       "UsageBand                                         NaN   \n",
       "fiModelDesc                                       A62   \n",
       "fiBaseModel                                       A62   \n",
       "fiSecondaryDesc                                   NaN   \n",
       "fiModelSeries                                     NaN   \n",
       "fiModelDescriptor                                 NaN   \n",
       "ProductSize                                       NaN   \n",
       "fiProductClassDesc        Wheel Loader - Unidentified   \n",
       "state                                         Florida   \n",
       "ProductGroup                                       WL   \n",
       "ProductGroupDesc                         Wheel Loader   \n",
       "Drive_System                                      NaN   \n",
       "Enclosure                                       EROPS   \n",
       "Forks                             None or Unspecified   \n",
       "Pad_Type                                          NaN   \n",
       "Ride_Control                      None or Unspecified   \n",
       "Stick                                             NaN   \n",
       "Transmission                                      NaN   \n",
       "Turbocharged                                      NaN   \n",
       "Blade_Extension                                   NaN   \n",
       "Blade_Width                                       NaN   \n",
       "Enclosure_Type                                    NaN   \n",
       "Engine_Horsepower                                 NaN   \n",
       "Hydraulics                                    2 Valve   \n",
       "Pushblock                                         NaN   \n",
       "Ripper                                            NaN   \n",
       "Scarifier                                         NaN   \n",
       "Tip_Control                                       NaN   \n",
       "Tire_Size                         None or Unspecified   \n",
       "Coupler                           None or Unspecified   \n",
       "Coupler_System                                    NaN   \n",
       "Grouser_Tracks                                    NaN   \n",
       "Hydraulics_Flow                                   NaN   \n",
       "Track_Type                                        NaN   \n",
       "Undercarriage_Pad_Width                           NaN   \n",
       "Stick_Length                                      NaN   \n",
       "Thumb                                             NaN   \n",
       "Pattern_Changer                                   NaN   \n",
       "Grouser_Type                                      NaN   \n",
       "Backhoe_Mounting                                  NaN   \n",
       "Blade_Type                                        NaN   \n",
       "Travel_Controls                                   NaN   \n",
       "Differential_Type                            Standard   \n",
       "Steering_Controls                        Conventional   \n",
       "saleYear                                         1989   \n",
       "saleMonth                                           1   \n",
       "saleDay                                            31   \n",
       "saleDayOfWeek                                       1   \n",
       "saleDayOfYear                                      31   \n",
       "\n",
       "                                                                            4  \n",
       "SalesID                                                               1329056  \n",
       "SalePrice                                                             22000.0  \n",
       "MachineID                                                             1336053  \n",
       "ModelID                                                                  4089  \n",
       "datasource                                                                132  \n",
       "auctioneerID                                                             99.0  \n",
       "YearMade                                                                 1984  \n",
       "MachineHoursCurrentMeter                                                  0.0  \n",
       "UsageBand                                                                 NaN  \n",
       "fiModelDesc                                                               D3B  \n",
       "fiBaseModel                                                                D3  \n",
       "fiSecondaryDesc                                                             B  \n",
       "fiModelSeries                                                             NaN  \n",
       "fiModelDescriptor                                                         NaN  \n",
       "ProductSize                                                               NaN  \n",
       "fiProductClassDesc        Track Type Tractor, Dozer - 20.0 to 75.0 Horsepower  \n",
       "state                                                                 Florida  \n",
       "ProductGroup                                                              TTT  \n",
       "ProductGroupDesc                                          Track Type Tractors  \n",
       "Drive_System                                                              NaN  \n",
       "Enclosure                                                               OROPS  \n",
       "Forks                                                                     NaN  \n",
       "Pad_Type                                                                  NaN  \n",
       "Ride_Control                                                              NaN  \n",
       "Stick                                                                     NaN  \n",
       "Transmission                                                         Standard  \n",
       "Turbocharged                                                              NaN  \n",
       "Blade_Extension                                                           NaN  \n",
       "Blade_Width                                                               NaN  \n",
       "Enclosure_Type                                                            NaN  \n",
       "Engine_Horsepower                                                         NaN  \n",
       "Hydraulics                                                            2 Valve  \n",
       "Pushblock                                                                 NaN  \n",
       "Ripper                                                    None or Unspecified  \n",
       "Scarifier                                                                 NaN  \n",
       "Tip_Control                                                               NaN  \n",
       "Tire_Size                                                                 NaN  \n",
       "Coupler                                                                   NaN  \n",
       "Coupler_System                                                            NaN  \n",
       "Grouser_Tracks                                                            NaN  \n",
       "Hydraulics_Flow                                                           NaN  \n",
       "Track_Type                                                                NaN  \n",
       "Undercarriage_Pad_Width                                                   NaN  \n",
       "Stick_Length                                                              NaN  \n",
       "Thumb                                                                     NaN  \n",
       "Pattern_Changer                                                           NaN  \n",
       "Grouser_Type                                                              NaN  \n",
       "Backhoe_Mounting                                          None or Unspecified  \n",
       "Blade_Type                                                                PAT  \n",
       "Travel_Controls                                                         Lever  \n",
       "Differential_Type                                                         NaN  \n",
       "Steering_Controls                                                         NaN  \n",
       "saleYear                                                                 1989  \n",
       "saleMonth                                                                   1  \n",
       "saleDay                                                                    31  \n",
       "saleDayOfWeek                                                               1  \n",
       "saleDayOfYear                                                              31  "
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_train.head().T"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9ed2f7b6",
   "metadata": {},
   "source": [
    "#### Working on Evaluation set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "51d9468a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "57"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df_val.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "9a6da0ee",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Fill numeric rows with the median\n",
    "df_val = df_val.copy()\n",
    "for label, content in df_val.items():\n",
    "    if pd.api.types.is_numeric_dtype(content):\n",
    "        if pd.isnull(content).sum():\n",
    "            # Fill missing numeric values with median\n",
    "            df_val.loc[:, str(label)] = content.fillna(content.median())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "cba82135",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>401125</th>\n",
       "      <th>401126</th>\n",
       "      <th>401127</th>\n",
       "      <th>401128</th>\n",
       "      <th>401129</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>SalesID</th>\n",
       "      <td>4449186</td>\n",
       "      <td>1222855</td>\n",
       "      <td>6258613</td>\n",
       "      <td>6282680</td>\n",
       "      <td>6282759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SalePrice</th>\n",
       "      <td>46173.2</td>\n",
       "      <td>66000.0</td>\n",
       "      <td>26800.0</td>\n",
       "      <td>42100.0</td>\n",
       "      <td>62100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MachineID</th>\n",
       "      <td>2318824</td>\n",
       "      <td>531393</td>\n",
       "      <td>1810917</td>\n",
       "      <td>1543404</td>\n",
       "      <td>1863077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ModelID</th>\n",
       "      <td>26964</td>\n",
       "      <td>23926</td>\n",
       "      <td>13260</td>\n",
       "      <td>1830</td>\n",
       "      <td>11390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datasource</th>\n",
       "      <td>173</td>\n",
       "      <td>121</td>\n",
       "      <td>149</td>\n",
       "      <td>149</td>\n",
       "      <td>149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>auctioneerID</th>\n",
       "      <td>99.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>99.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YearMade</th>\n",
       "      <td>1996</td>\n",
       "      <td>1000</td>\n",
       "      <td>2000</td>\n",
       "      <td>2004</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MachineHoursCurrentMeter</th>\n",
       "      <td>0.0</td>\n",
       "      <td>8145.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>4373.0</td>\n",
       "      <td>3467.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UsageBand</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Low</td>\n",
       "      <td>Low</td>\n",
       "      <td>Medium</td>\n",
       "      <td>Medium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fiModelDesc</th>\n",
       "      <td>D65E12</td>\n",
       "      <td>12HNA</td>\n",
       "      <td>590SUPER LII</td>\n",
       "      <td>120C</td>\n",
       "      <td>160CLC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fiBaseModel</th>\n",
       "      <td>D65</td>\n",
       "      <td>12</td>\n",
       "      <td>590</td>\n",
       "      <td>120</td>\n",
       "      <td>160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fiSecondaryDesc</th>\n",
       "      <td>E</td>\n",
       "      <td>H</td>\n",
       "      <td>SUPER L</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fiModelSeries</th>\n",
       "      <td>12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>II</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fiModelDescriptor</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>LC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ProductSize</th>\n",
       "      <td>Large</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Small</td>\n",
       "      <td>Small</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fiProductClassDesc</th>\n",
       "      <td>Track Type Tractor, Dozer - 190.0 to 260.0 Horsepower</td>\n",
       "      <td>Motorgrader - 130.0 to 145.0 Horsepower</td>\n",
       "      <td>Backhoe Loader - 15.0 to 16.0 Ft Standard Digging Depth</td>\n",
       "      <td>Hydraulic Excavator, Track - 12.0 to 14.0 Metric Tons</td>\n",
       "      <td>Hydraulic Excavator, Track - 14.0 to 16.0 Metric Tons</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>state</th>\n",
       "      <td>Michigan</td>\n",
       "      <td>Florida</td>\n",
       "      <td>Iowa</td>\n",
       "      <td>Mississippi</td>\n",
       "      <td>Mississippi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ProductGroup</th>\n",
       "      <td>TTT</td>\n",
       "      <td>MG</td>\n",
       "      <td>BL</td>\n",
       "      <td>TEX</td>\n",
       "      <td>TEX</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ProductGroupDesc</th>\n",
       "      <td>Track Type Tractors</td>\n",
       "      <td>Motor Graders</td>\n",
       "      <td>Backhoe Loaders</td>\n",
       "      <td>Track Excavators</td>\n",
       "      <td>Track Excavators</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drive_System</th>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "      <td>Four Wheel Drive</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Enclosure</th>\n",
       "      <td>OROPS</td>\n",
       "      <td>OROPS</td>\n",
       "      <td>OROPS</td>\n",
       "      <td>EROPS w AC</td>\n",
       "      <td>EROPS w AC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Forks</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pad_Type</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ride_Control</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stick</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Extended</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Transmission</th>\n",
       "      <td>Standard</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>Standard</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Turbocharged</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Blade_Extension</th>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Blade_Width</th>\n",
       "      <td>NaN</td>\n",
       "      <td>14'</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Enclosure_Type</th>\n",
       "      <td>NaN</td>\n",
       "      <td>High Profile</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Engine_Horsepower</th>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hydraulics</th>\n",
       "      <td>2 Valve</td>\n",
       "      <td>Base + 1 Function</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Auxiliary</td>\n",
       "      <td>Auxiliary</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pushblock</th>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ripper</th>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Scarifier</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tip_Control</th>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tire_Size</th>\n",
       "      <td>NaN</td>\n",
       "      <td>17.5\"</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Coupler</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>None or Unspecified</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Coupler_System</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Grouser_Tracks</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hydraulics_Flow</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Track_Type</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Steel</td>\n",
       "      <td>Steel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Undercarriage_Pad_Width</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24 inch</td>\n",
       "      <td>None or Unspecified</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stick_Length</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>None or Unspecified</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thumb</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>None or Unspecified</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pattern_Changer</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>None or Unspecified</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Grouser_Type</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Double</td>\n",
       "      <td>Double</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Backhoe_Mounting</th>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Blade_Type</th>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Travel_Controls</th>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Differential_Type</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Steering_Controls</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>saleYear</th>\n",
       "      <td>2012</td>\n",
       "      <td>2012</td>\n",
       "      <td>2012</td>\n",
       "      <td>2012</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>saleMonth</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>saleDay</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>saleDayOfWeek</th>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>saleDayOfYear</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                         401125  \\\n",
       "SalesID                                                                 4449186   \n",
       "SalePrice                                                               46173.2   \n",
       "MachineID                                                               2318824   \n",
       "ModelID                                                                   26964   \n",
       "datasource                                                                  173   \n",
       "auctioneerID                                                               99.0   \n",
       "YearMade                                                                   1996   \n",
       "MachineHoursCurrentMeter                                                    0.0   \n",
       "UsageBand                                                                   NaN   \n",
       "fiModelDesc                                                              D65E12   \n",
       "fiBaseModel                                                                 D65   \n",
       "fiSecondaryDesc                                                               E   \n",
       "fiModelSeries                                                                12   \n",
       "fiModelDescriptor                                                           NaN   \n",
       "ProductSize                                                               Large   \n",
       "fiProductClassDesc        Track Type Tractor, Dozer - 190.0 to 260.0 Horsepower   \n",
       "state                                                                  Michigan   \n",
       "ProductGroup                                                                TTT   \n",
       "ProductGroupDesc                                            Track Type Tractors   \n",
       "Drive_System                                                                NaN   \n",
       "Enclosure                                                                 OROPS   \n",
       "Forks                                                                       NaN   \n",
       "Pad_Type                                                                    NaN   \n",
       "Ride_Control                                                                NaN   \n",
       "Stick                                                                       NaN   \n",
       "Transmission                                                           Standard   \n",
       "Turbocharged                                                                NaN   \n",
       "Blade_Extension                                                             NaN   \n",
       "Blade_Width                                                                 NaN   \n",
       "Enclosure_Type                                                              NaN   \n",
       "Engine_Horsepower                                                           NaN   \n",
       "Hydraulics                                                              2 Valve   \n",
       "Pushblock                                                                   NaN   \n",
       "Ripper                                                      None or Unspecified   \n",
       "Scarifier                                                                   NaN   \n",
       "Tip_Control                                                                 NaN   \n",
       "Tire_Size                                                                   NaN   \n",
       "Coupler                                                                     NaN   \n",
       "Coupler_System                                                              NaN   \n",
       "Grouser_Tracks                                                              NaN   \n",
       "Hydraulics_Flow                                                             NaN   \n",
       "Track_Type                                                                  NaN   \n",
       "Undercarriage_Pad_Width                                                     NaN   \n",
       "Stick_Length                                                                NaN   \n",
       "Thumb                                                                       NaN   \n",
       "Pattern_Changer                                                             NaN   \n",
       "Grouser_Type                                                                NaN   \n",
       "Backhoe_Mounting                                            None or Unspecified   \n",
       "Blade_Type                                                  None or Unspecified   \n",
       "Travel_Controls                                             None or Unspecified   \n",
       "Differential_Type                                                           NaN   \n",
       "Steering_Controls                                                           NaN   \n",
       "saleYear                                                                   2012   \n",
       "saleMonth                                                                     1   \n",
       "saleDay                                                                       1   \n",
       "saleDayOfWeek                                                                 6   \n",
       "saleDayOfYear                                                                 1   \n",
       "\n",
       "                                                           401126  \\\n",
       "SalesID                                                   1222855   \n",
       "SalePrice                                                 66000.0   \n",
       "MachineID                                                  531393   \n",
       "ModelID                                                     23926   \n",
       "datasource                                                    121   \n",
       "auctioneerID                                                  3.0   \n",
       "YearMade                                                     1000   \n",
       "MachineHoursCurrentMeter                                   8145.0   \n",
       "UsageBand                                                     Low   \n",
       "fiModelDesc                                                 12HNA   \n",
       "fiBaseModel                                                    12   \n",
       "fiSecondaryDesc                                                 H   \n",
       "fiModelSeries                                                 NaN   \n",
       "fiModelDescriptor                                             NaN   \n",
       "ProductSize                                                   NaN   \n",
       "fiProductClassDesc        Motorgrader - 130.0 to 145.0 Horsepower   \n",
       "state                                                     Florida   \n",
       "ProductGroup                                                   MG   \n",
       "ProductGroupDesc                                    Motor Graders   \n",
       "Drive_System                                                   No   \n",
       "Enclosure                                                   OROPS   \n",
       "Forks                                                         NaN   \n",
       "Pad_Type                                                      NaN   \n",
       "Ride_Control                                                  NaN   \n",
       "Stick                                                         NaN   \n",
       "Transmission                                  None or Unspecified   \n",
       "Turbocharged                                                  NaN   \n",
       "Blade_Extension                               None or Unspecified   \n",
       "Blade_Width                                                   14'   \n",
       "Enclosure_Type                                       High Profile   \n",
       "Engine_Horsepower                                              No   \n",
       "Hydraulics                                      Base + 1 Function   \n",
       "Pushblock                                     None or Unspecified   \n",
       "Ripper                                        None or Unspecified   \n",
       "Scarifier                                                     Yes   \n",
       "Tip_Control                                   None or Unspecified   \n",
       "Tire_Size                                                   17.5\"   \n",
       "Coupler                                                       NaN   \n",
       "Coupler_System                                                NaN   \n",
       "Grouser_Tracks                                                NaN   \n",
       "Hydraulics_Flow                                               NaN   \n",
       "Track_Type                                                    NaN   \n",
       "Undercarriage_Pad_Width                                       NaN   \n",
       "Stick_Length                                                  NaN   \n",
       "Thumb                                                         NaN   \n",
       "Pattern_Changer                                               NaN   \n",
       "Grouser_Type                                                  NaN   \n",
       "Backhoe_Mounting                                              NaN   \n",
       "Blade_Type                                                    NaN   \n",
       "Travel_Controls                                               NaN   \n",
       "Differential_Type                                             NaN   \n",
       "Steering_Controls                                             NaN   \n",
       "saleYear                                                     2012   \n",
       "saleMonth                                                       1   \n",
       "saleDay                                                         4   \n",
       "saleDayOfWeek                                                   2   \n",
       "saleDayOfYear                                                   4   \n",
       "\n",
       "                                                                           401127  \\\n",
       "SalesID                                                                   6258613   \n",
       "SalePrice                                                                 26800.0   \n",
       "MachineID                                                                 1810917   \n",
       "ModelID                                                                     13260   \n",
       "datasource                                                                    149   \n",
       "auctioneerID                                                                 99.0   \n",
       "YearMade                                                                     2000   \n",
       "MachineHoursCurrentMeter                                                     24.0   \n",
       "UsageBand                                                                     Low   \n",
       "fiModelDesc                                                          590SUPER LII   \n",
       "fiBaseModel                                                                   590   \n",
       "fiSecondaryDesc                                                           SUPER L   \n",
       "fiModelSeries                                                                  II   \n",
       "fiModelDescriptor                                                             NaN   \n",
       "ProductSize                                                                   NaN   \n",
       "fiProductClassDesc        Backhoe Loader - 15.0 to 16.0 Ft Standard Digging Depth   \n",
       "state                                                                        Iowa   \n",
       "ProductGroup                                                                   BL   \n",
       "ProductGroupDesc                                                  Backhoe Loaders   \n",
       "Drive_System                                                     Four Wheel Drive   \n",
       "Enclosure                                                                   OROPS   \n",
       "Forks                                                         None or Unspecified   \n",
       "Pad_Type                                                      None or Unspecified   \n",
       "Ride_Control                                                                   No   \n",
       "Stick                                                                    Extended   \n",
       "Transmission                                                             Standard   \n",
       "Turbocharged                                                  None or Unspecified   \n",
       "Blade_Extension                                                               NaN   \n",
       "Blade_Width                                                                   NaN   \n",
       "Enclosure_Type                                                                NaN   \n",
       "Engine_Horsepower                                                             NaN   \n",
       "Hydraulics                                                                    NaN   \n",
       "Pushblock                                                                     NaN   \n",
       "Ripper                                                                        NaN   \n",
       "Scarifier                                                                     NaN   \n",
       "Tip_Control                                                                   NaN   \n",
       "Tire_Size                                                                     NaN   \n",
       "Coupler                                                                       NaN   \n",
       "Coupler_System                                                                NaN   \n",
       "Grouser_Tracks                                                                NaN   \n",
       "Hydraulics_Flow                                                               NaN   \n",
       "Track_Type                                                                    NaN   \n",
       "Undercarriage_Pad_Width                                                       NaN   \n",
       "Stick_Length                                                                  NaN   \n",
       "Thumb                                                                         NaN   \n",
       "Pattern_Changer                                                               NaN   \n",
       "Grouser_Type                                                                  NaN   \n",
       "Backhoe_Mounting                                                              NaN   \n",
       "Blade_Type                                                                    NaN   \n",
       "Travel_Controls                                                               NaN   \n",
       "Differential_Type                                                             NaN   \n",
       "Steering_Controls                                                             NaN   \n",
       "saleYear                                                                     2012   \n",
       "saleMonth                                                                       1   \n",
       "saleDay                                                                         4   \n",
       "saleDayOfWeek                                                                   2   \n",
       "saleDayOfYear                                                                   4   \n",
       "\n",
       "                                                                         401128  \\\n",
       "SalesID                                                                 6282680   \n",
       "SalePrice                                                               42100.0   \n",
       "MachineID                                                               1543404   \n",
       "ModelID                                                                    1830   \n",
       "datasource                                                                  149   \n",
       "auctioneerID                                                               99.0   \n",
       "YearMade                                                                   2004   \n",
       "MachineHoursCurrentMeter                                                 4373.0   \n",
       "UsageBand                                                                Medium   \n",
       "fiModelDesc                                                                120C   \n",
       "fiBaseModel                                                                 120   \n",
       "fiSecondaryDesc                                                               C   \n",
       "fiModelSeries                                                               NaN   \n",
       "fiModelDescriptor                                                           NaN   \n",
       "ProductSize                                                               Small   \n",
       "fiProductClassDesc        Hydraulic Excavator, Track - 12.0 to 14.0 Metric Tons   \n",
       "state                                                               Mississippi   \n",
       "ProductGroup                                                                TEX   \n",
       "ProductGroupDesc                                               Track Excavators   \n",
       "Drive_System                                                                NaN   \n",
       "Enclosure                                                            EROPS w AC   \n",
       "Forks                                                                       NaN   \n",
       "Pad_Type                                                                    NaN   \n",
       "Ride_Control                                                                NaN   \n",
       "Stick                                                                       NaN   \n",
       "Transmission                                                                NaN   \n",
       "Turbocharged                                                                NaN   \n",
       "Blade_Extension                                                             NaN   \n",
       "Blade_Width                                                                 NaN   \n",
       "Enclosure_Type                                                              NaN   \n",
       "Engine_Horsepower                                                           NaN   \n",
       "Hydraulics                                                            Auxiliary   \n",
       "Pushblock                                                                   NaN   \n",
       "Ripper                                                                      NaN   \n",
       "Scarifier                                                                   NaN   \n",
       "Tip_Control                                                                 NaN   \n",
       "Tire_Size                                                                   NaN   \n",
       "Coupler                                                     None or Unspecified   \n",
       "Coupler_System                                                              NaN   \n",
       "Grouser_Tracks                                                              NaN   \n",
       "Hydraulics_Flow                                                             NaN   \n",
       "Track_Type                                                                Steel   \n",
       "Undercarriage_Pad_Width                                                 24 inch   \n",
       "Stick_Length                                                None or Unspecified   \n",
       "Thumb                                                       None or Unspecified   \n",
       "Pattern_Changer                                             None or Unspecified   \n",
       "Grouser_Type                                                             Double   \n",
       "Backhoe_Mounting                                                            NaN   \n",
       "Blade_Type                                                                  NaN   \n",
       "Travel_Controls                                                             NaN   \n",
       "Differential_Type                                                           NaN   \n",
       "Steering_Controls                                                           NaN   \n",
       "saleYear                                                                   2012   \n",
       "saleMonth                                                                     1   \n",
       "saleDay                                                                       4   \n",
       "saleDayOfWeek                                                                 2   \n",
       "saleDayOfYear                                                                 4   \n",
       "\n",
       "                                                                         401129  \n",
       "SalesID                                                                 6282759  \n",
       "SalePrice                                                               62100.0  \n",
       "MachineID                                                               1863077  \n",
       "ModelID                                                                   11390  \n",
       "datasource                                                                  149  \n",
       "auctioneerID                                                               99.0  \n",
       "YearMade                                                                   2006  \n",
       "MachineHoursCurrentMeter                                                 3467.0  \n",
       "UsageBand                                                                Medium  \n",
       "fiModelDesc                                                              160CLC  \n",
       "fiBaseModel                                                                 160  \n",
       "fiSecondaryDesc                                                               C  \n",
       "fiModelSeries                                                               NaN  \n",
       "fiModelDescriptor                                                            LC  \n",
       "ProductSize                                                               Small  \n",
       "fiProductClassDesc        Hydraulic Excavator, Track - 14.0 to 16.0 Metric Tons  \n",
       "state                                                               Mississippi  \n",
       "ProductGroup                                                                TEX  \n",
       "ProductGroupDesc                                               Track Excavators  \n",
       "Drive_System                                                                NaN  \n",
       "Enclosure                                                            EROPS w AC  \n",
       "Forks                                                                       NaN  \n",
       "Pad_Type                                                                    NaN  \n",
       "Ride_Control                                                                NaN  \n",
       "Stick                                                                       NaN  \n",
       "Transmission                                                                NaN  \n",
       "Turbocharged                                                                NaN  \n",
       "Blade_Extension                                                             NaN  \n",
       "Blade_Width                                                                 NaN  \n",
       "Enclosure_Type                                                              NaN  \n",
       "Engine_Horsepower                                                           NaN  \n",
       "Hydraulics                                                            Auxiliary  \n",
       "Pushblock                                                                   NaN  \n",
       "Ripper                                                                      NaN  \n",
       "Scarifier                                                                   NaN  \n",
       "Tip_Control                                                                 NaN  \n",
       "Tire_Size                                                                   NaN  \n",
       "Coupler                                                     None or Unspecified  \n",
       "Coupler_System                                                              NaN  \n",
       "Grouser_Tracks                                                              NaN  \n",
       "Hydraulics_Flow                                                             NaN  \n",
       "Track_Type                                                                Steel  \n",
       "Undercarriage_Pad_Width                                     None or Unspecified  \n",
       "Stick_Length                                                None or Unspecified  \n",
       "Thumb                                                       None or Unspecified  \n",
       "Pattern_Changer                                             None or Unspecified  \n",
       "Grouser_Type                                                             Double  \n",
       "Backhoe_Mounting                                                            NaN  \n",
       "Blade_Type                                                                  NaN  \n",
       "Travel_Controls                                                             NaN  \n",
       "Differential_Type                                                           NaN  \n",
       "Steering_Controls                                                           NaN  \n",
       "saleYear                                                                   2012  \n",
       "saleMonth                                                                     1  \n",
       "saleDay                                                                       4  \n",
       "saleDayOfWeek                                                                 2  \n",
       "saleDayOfYear                                                                 4  "
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_val.head().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "5a627e2f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(57, 57)"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df_train.columns), len(df_val.columns)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a284c28",
   "metadata": {},
   "source": [
    "### Filling and turning categorical variables into numbers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "e3846c8e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "UsageBand\n",
      "fiModelDesc\n",
      "fiBaseModel\n",
      "fiSecondaryDesc\n",
      "fiModelSeries\n",
      "fiModelDescriptor\n",
      "ProductSize\n",
      "fiProductClassDesc\n",
      "state\n",
      "ProductGroup\n",
      "ProductGroupDesc\n",
      "Drive_System\n",
      "Enclosure\n",
      "Forks\n",
      "Pad_Type\n",
      "Ride_Control\n",
      "Stick\n",
      "Transmission\n",
      "Turbocharged\n",
      "Blade_Extension\n",
      "Blade_Width\n",
      "Enclosure_Type\n",
      "Engine_Horsepower\n",
      "Hydraulics\n",
      "Pushblock\n",
      "Ripper\n",
      "Scarifier\n",
      "Tip_Control\n",
      "Tire_Size\n",
      "Coupler\n",
      "Coupler_System\n",
      "Grouser_Tracks\n",
      "Hydraulics_Flow\n",
      "Track_Type\n",
      "Undercarriage_Pad_Width\n",
      "Stick_Length\n",
      "Thumb\n",
      "Pattern_Changer\n",
      "Grouser_Type\n",
      "Backhoe_Mounting\n",
      "Blade_Type\n",
      "Travel_Controls\n",
      "Differential_Type\n",
      "Steering_Controls\n"
     ]
    }
   ],
   "source": [
    "# Check for columns which aren't numeric\n",
    "for label, content in df_train.items():\n",
    "    if not pd.api.types.is_numeric_dtype(content):\n",
    "        print(label)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "e3464175",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([43,  8,  8, ..., 31, 31, 31], dtype=int8)"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.Categorical(df_train[\"state\"]).codes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "bda9a463",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Turn categorical variables into number and fill missing for train set\n",
    "with warnings.catch_warnings():\n",
    "    warnings.filterwarnings(\"ignore\", category=DeprecationWarning,\n",
    "                            message=(\n",
    "                                \".*will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either.*\"\n",
    "                            ),\n",
    "                           )    \n",
    "    df_train = df_train.copy()\n",
    "    for label, content in df_train.items():\n",
    "        if not pd.api.types.is_numeric_dtype(content):\n",
    "            # Turn categories into numbers and add +1\n",
    "            df_train.loc[:, str(label)] = pd.Categorical(content).codes + 1\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "8b2dbb96",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SalesID</th>\n",
       "      <th>SalePrice</th>\n",
       "      <th>MachineID</th>\n",
       "      <th>ModelID</th>\n",
       "      <th>datasource</th>\n",
       "      <th>auctioneerID</th>\n",
       "      <th>YearMade</th>\n",
       "      <th>MachineHoursCurrentMeter</th>\n",
       "      <th>UsageBand</th>\n",
       "      <th>fiModelDesc</th>\n",
       "      <th>...</th>\n",
       "      <th>Backhoe_Mounting</th>\n",
       "      <th>Blade_Type</th>\n",
       "      <th>Travel_Controls</th>\n",
       "      <th>Differential_Type</th>\n",
       "      <th>Steering_Controls</th>\n",
       "      <th>saleYear</th>\n",
       "      <th>saleMonth</th>\n",
       "      <th>saleDay</th>\n",
       "      <th>saleDayOfWeek</th>\n",
       "      <th>saleDayOfYear</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1646770</td>\n",
       "      <td>9500.0</td>\n",
       "      <td>1126363</td>\n",
       "      <td>8434</td>\n",
       "      <td>132</td>\n",
       "      <td>18.0</td>\n",
       "      <td>1974</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>4537</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1989</td>\n",
       "      <td>1</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1821514</td>\n",
       "      <td>14000.0</td>\n",
       "      <td>1194089</td>\n",
       "      <td>10150</td>\n",
       "      <td>132</td>\n",
       "      <td>99.0</td>\n",
       "      <td>1980</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1800</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>1989</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1505138</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>1473654</td>\n",
       "      <td>4139</td>\n",
       "      <td>132</td>\n",
       "      <td>99.0</td>\n",
       "      <td>1978</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2324</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1989</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1671174</td>\n",
       "      <td>16000.0</td>\n",
       "      <td>1327630</td>\n",
       "      <td>8591</td>\n",
       "      <td>132</td>\n",
       "      <td>99.0</td>\n",
       "      <td>1980</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1799</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>1989</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1329056</td>\n",
       "      <td>22000.0</td>\n",
       "      <td>1336053</td>\n",
       "      <td>4089</td>\n",
       "      <td>132</td>\n",
       "      <td>99.0</td>\n",
       "      <td>1984</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2095</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1989</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>401120</th>\n",
       "      <td>6260687</td>\n",
       "      <td>29000.0</td>\n",
       "      <td>1074871</td>\n",
       "      <td>4331</td>\n",
       "      <td>149</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3098</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2011</td>\n",
       "      <td>12</td>\n",
       "      <td>30</td>\n",
       "      <td>4</td>\n",
       "      <td>364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>401121</th>\n",
       "      <td>6312170</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>1812622</td>\n",
       "      <td>9580</td>\n",
       "      <td>149</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2005</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>4458</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2011</td>\n",
       "      <td>12</td>\n",
       "      <td>30</td>\n",
       "      <td>4</td>\n",
       "      <td>364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>401122</th>\n",
       "      <td>6312727</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>1811599</td>\n",
       "      <td>9580</td>\n",
       "      <td>149</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2005</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>4458</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2011</td>\n",
       "      <td>12</td>\n",
       "      <td>30</td>\n",
       "      <td>4</td>\n",
       "      <td>364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>401123</th>\n",
       "      <td>6315051</td>\n",
       "      <td>18000.0</td>\n",
       "      <td>1858173</td>\n",
       "      <td>17432</td>\n",
       "      <td>149</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2004</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3348</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2011</td>\n",
       "      <td>12</td>\n",
       "      <td>30</td>\n",
       "      <td>4</td>\n",
       "      <td>364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>401124</th>\n",
       "      <td>6260878</td>\n",
       "      <td>13500.0</td>\n",
       "      <td>1799594</td>\n",
       "      <td>4102</td>\n",
       "      <td>149</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2137</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2011</td>\n",
       "      <td>12</td>\n",
       "      <td>30</td>\n",
       "      <td>4</td>\n",
       "      <td>364</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>401125 rows × 57 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        SalesID  SalePrice  MachineID  ModelID  datasource  auctioneerID  \\\n",
       "0       1646770     9500.0    1126363     8434         132          18.0   \n",
       "1       1821514    14000.0    1194089    10150         132          99.0   \n",
       "2       1505138    50000.0    1473654     4139         132          99.0   \n",
       "3       1671174    16000.0    1327630     8591         132          99.0   \n",
       "4       1329056    22000.0    1336053     4089         132          99.0   \n",
       "...         ...        ...        ...      ...         ...           ...   \n",
       "401120  6260687    29000.0    1074871     4331         149           2.0   \n",
       "401121  6312170    11000.0    1812622     9580         149           2.0   \n",
       "401122  6312727    11000.0    1811599     9580         149           2.0   \n",
       "401123  6315051    18000.0    1858173    17432         149           2.0   \n",
       "401124  6260878    13500.0    1799594     4102         149           2.0   \n",
       "\n",
       "        YearMade  MachineHoursCurrentMeter  UsageBand  fiModelDesc  ...  \\\n",
       "0           1974                       0.0          0         4537  ...   \n",
       "1           1980                       0.0          0         1800  ...   \n",
       "2           1978                       0.0          0         2324  ...   \n",
       "3           1980                       0.0          0         1799  ...   \n",
       "4           1984                       0.0          0         2095  ...   \n",
       "...          ...                       ...        ...          ...  ...   \n",
       "401120      1000                       0.0          0         3098  ...   \n",
       "401121      2005                       0.0          0         4458  ...   \n",
       "401122      2005                       0.0          0         4458  ...   \n",
       "401123      2004                       0.0          0         3348  ...   \n",
       "401124      1000                       0.0          0         2137  ...   \n",
       "\n",
       "        Backhoe_Mounting  Blade_Type  Travel_Controls  Differential_Type  \\\n",
       "0                      1           8                6                  0   \n",
       "1                      0           0                0                  4   \n",
       "2                      1           8                6                  0   \n",
       "3                      0           0                0                  4   \n",
       "4                      1           6                5                  0   \n",
       "...                  ...         ...              ...                ...   \n",
       "401120                 0           0                0                  4   \n",
       "401121                 0           0                0                  0   \n",
       "401122                 0           0                0                  0   \n",
       "401123                 0           0                0                  0   \n",
       "401124                 1           6                6                  0   \n",
       "\n",
       "        Steering_Controls  saleYear  saleMonth  saleDay  saleDayOfWeek  \\\n",
       "0                       0      1989          1       17              1   \n",
       "1                       2      1989          1       31              1   \n",
       "2                       0      1989          1       31              1   \n",
       "3                       2      1989          1       31              1   \n",
       "4                       0      1989          1       31              1   \n",
       "...                   ...       ...        ...      ...            ...   \n",
       "401120                  2      2011         12       30              4   \n",
       "401121                  0      2011         12       30              4   \n",
       "401122                  0      2011         12       30              4   \n",
       "401123                  0      2011         12       30              4   \n",
       "401124                  0      2011         12       30              4   \n",
       "\n",
       "        saleDayOfYear  \n",
       "0                  17  \n",
       "1                  31  \n",
       "2                  31  \n",
       "3                  31  \n",
       "4                  31  \n",
       "...               ...  \n",
       "401120            364  \n",
       "401121            364  \n",
       "401122            364  \n",
       "401123            364  \n",
       "401124            364  \n",
       "\n",
       "[401125 rows x 57 columns]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "39836704",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Turn categorical variables into numbers and fill missing for validation set\n",
    "with warnings.catch_warnings():\n",
    "    warnings.filterwarnings(\"ignore\", category=DeprecationWarning,\n",
    "                            message=(\n",
    "                                \".*will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either.*\"\n",
    "                            ),\n",
    "                           )\n",
    "    df_val = df_val.copy()\n",
    "    for label, content in df_val.items():\n",
    "        if not pd.api.types.is_numeric_dtype(content):\n",
    "            # Turn categories into numbers and add +1\n",
    "            df_val.loc[:, str(label)] = pd.Categorical(content).codes + 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "050dd8f9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(57, 57)"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df_train.columns), len(df_val.columns)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a3453ef",
   "metadata": {},
   "source": [
    "## 5. Modelling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "bcb3e4e0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: total: 40min 30s\n",
      "Wall time: 10min 49s\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestRegressor(n_jobs=-1, random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestRegressor</label><div class=\"sk-toggleable__content\"><pre>RandomForestRegressor(n_jobs=-1, random_state=42)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "RandomForestRegressor(n_jobs=-1, random_state=42)"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "\n",
    "# Instantiate model\n",
    "model = RandomForestRegressor(n_jobs = -1,\n",
    "                              random_state = 42)\n",
    "\n",
    "# Create X_train and y_train from train set\n",
    "X_train = df_train.drop(\"SalePrice\", axis = 1)\n",
    "y_train = df_train[\"SalePrice\"]\n",
    "\n",
    "# Fit the model\n",
    "model.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "08dd9a95",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9875169970068854"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.score(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "dfbed8fe",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create X_valid, y_valid\n",
    "X_valid = df_val.drop(\"SalePrice\", axis = 1)\n",
    "y_valid = df_val[\"SalePrice\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4a1245a2",
   "metadata": {},
   "source": [
    "### Building an Evaluation Function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "2c591c53",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create evaluation function (the competition uses RMSLE)\n",
    "from sklearn.metrics import mean_squared_log_error, mean_absolute_error, r2_score\n",
    "\n",
    "def rmsle(y_test, y_preds):\n",
    "    \"\"\"\n",
    "    Calculate root mean squared log error between predictions and true labels.\n",
    "    \"\"\"\n",
    "    return np.sqrt(mean_squared_log_error(y_test, y_preds))\n",
    "\n",
    "\n",
    "# Create function to evaluate model on a few different levels\n",
    "def show_scores(model):\n",
    "    train_preds = model.predict(X_train)\n",
    "    val_preds = model.predict(X_valid)\n",
    "    scores = {\"Training MAE\": mean_absolute_error(y_train, train_preds),\n",
    "              \"Valid MAE\" : mean_absolute_error(y_valid, val_preds),\n",
    "             \"Training RMSLE\": rmsle(y_train, train_preds),\n",
    "             \"Valid RMSLE\" : rmsle(y_valid, val_preds),\n",
    "             \"Training R^2\" : r2_score(y_train, train_preds),\n",
    "             \"Valid R^2\" : r2_score(y_valid, val_preds)}\n",
    "    return scores"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "795b7229",
   "metadata": {},
   "source": [
    "### Testing our model on a subset (to tune the hyperparameters)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "cbf29a30",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Change max_samples value\n",
    "model = RandomForestRegressor(n_jobs= -1,\n",
    "                             random_state = 42,\n",
    "                             max_samples = 10000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "b416e707",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: total: 53.4 s\n",
      "Wall time: 14.3 s\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestRegressor(max_samples=10000, n_jobs=-1, random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestRegressor</label><div class=\"sk-toggleable__content\"><pre>RandomForestRegressor(max_samples=10000, n_jobs=-1, random_state=42)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "RandomForestRegressor(max_samples=10000, n_jobs=-1, random_state=42)"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "# Cutting down on the max number of samples each estimator can see, improves training time\n",
    "model.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "991c4739",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Training MAE': 5563.654842729823,\n",
       " 'Valid MAE': 9889.246097813877,\n",
       " 'Training RMSLE': 0.25781719121917157,\n",
       " 'Valid RMSLE': 0.3938025593989505,\n",
       " 'Training R^2': 0.8605952061882001,\n",
       " 'Valid R^2': 0.6507659521184419}"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "show_scores(model)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f7e89aa",
   "metadata": {},
   "source": [
    "### Hyperparameter tuning with RandomizedSearchCV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "200f8edd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 5 folds for each of 100 candidates, totalling 500 fits\n",
      "CPU times: total: 18min 11s\n",
      "Wall time: 1h 54min 6s\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-3 {color: black;background-color: white;}#sk-container-id-3 pre{padding: 0;}#sk-container-id-3 div.sk-toggleable {background-color: white;}#sk-container-id-3 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-3 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-3 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-3 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-3 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-3 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-3 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-3 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-3 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-3 div.sk-item {position: relative;z-index: 1;}#sk-container-id-3 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-3 div.sk-item::before, #sk-container-id-3 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-3 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-3 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-3 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-3 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-3 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-3 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-3 div.sk-label-container {text-align: center;}#sk-container-id-3 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-3 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomizedSearchCV(cv=5,\n",
       "                   estimator=RandomForestRegressor(n_jobs=-1, random_state=42),\n",
       "                   n_iter=100,\n",
       "                   param_distributions={&#x27;max_depth&#x27;: [None, 3, 5, 10],\n",
       "                                        &#x27;max_features&#x27;: [0.5, 1, &#x27;sqrt&#x27;,\n",
       "                                                         &#x27;log2&#x27;],\n",
       "                                        &#x27;max_samples&#x27;: [10000, None],\n",
       "                                        &#x27;min_samples_leaf&#x27;: array([ 1,  3,  5,  7,  9, 11, 13, 15, 17, 19]),\n",
       "                                        &#x27;min_samples_split&#x27;: array([ 2,  4,  6,  8, 10, 12, 14, 16, 18]),\n",
       "                                        &#x27;n_estimators&#x27;: array([10, 20, 30, 40, 50, 60, 70, 80, 90])},\n",
       "                   verbose=True)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" ><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomizedSearchCV</label><div class=\"sk-toggleable__content\"><pre>RandomizedSearchCV(cv=5,\n",
       "                   estimator=RandomForestRegressor(n_jobs=-1, random_state=42),\n",
       "                   n_iter=100,\n",
       "                   param_distributions={&#x27;max_depth&#x27;: [None, 3, 5, 10],\n",
       "                                        &#x27;max_features&#x27;: [0.5, 1, &#x27;sqrt&#x27;,\n",
       "                                                         &#x27;log2&#x27;],\n",
       "                                        &#x27;max_samples&#x27;: [10000, None],\n",
       "                                        &#x27;min_samples_leaf&#x27;: array([ 1,  3,  5,  7,  9, 11, 13, 15, 17, 19]),\n",
       "                                        &#x27;min_samples_split&#x27;: array([ 2,  4,  6,  8, 10, 12, 14, 16, 18]),\n",
       "                                        &#x27;n_estimators&#x27;: array([10, 20, 30, 40, 50, 60, 70, 80, 90])},\n",
       "                   verbose=True)</pre></div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-4\" type=\"checkbox\" ><label for=\"sk-estimator-id-4\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">estimator: RandomForestRegressor</label><div class=\"sk-toggleable__content\"><pre>RandomForestRegressor(n_jobs=-1, random_state=42)</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-5\" type=\"checkbox\" ><label for=\"sk-estimator-id-5\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestRegressor</label><div class=\"sk-toggleable__content\"><pre>RandomForestRegressor(n_jobs=-1, random_state=42)</pre></div></div></div></div></div></div></div></div></div></div>"
      ],
      "text/plain": [
       "RandomizedSearchCV(cv=5,\n",
       "                   estimator=RandomForestRegressor(n_jobs=-1, random_state=42),\n",
       "                   n_iter=100,\n",
       "                   param_distributions={'max_depth': [None, 3, 5, 10],\n",
       "                                        'max_features': [0.5, 1, 'sqrt',\n",
       "                                                         'log2'],\n",
       "                                        'max_samples': [10000, None],\n",
       "                                        'min_samples_leaf': array([ 1,  3,  5,  7,  9, 11, 13, 15, 17, 19]),\n",
       "                                        'min_samples_split': array([ 2,  4,  6,  8, 10, 12, 14, 16, 18]),\n",
       "                                        'n_estimators': array([10, 20, 30, 40, 50, 60, 70, 80, 90])},\n",
       "                   verbose=True)"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "from sklearn.model_selection import RandomizedSearchCV\n",
    "\n",
    "# Different RandomForestRegressor hyperparameters\n",
    "rf_grid = {\"n_estimators\" : np.arange(10, 100, 10),\n",
    "          \"max_depth\": [None, 3, 5, 10],\n",
    "          \"min_samples_split\": np.arange(2, 20, 2),\n",
    "          \"min_samples_leaf\": np.arange(1, 20, 2),\n",
    "          \"max_features\": [0.5, 1, \"sqrt\", \"log2\"],\n",
    "          \"max_samples\": [10000, None]}\n",
    "\n",
    "# Instantiate RandomizedSearchCV model\n",
    "rs_model = RandomizedSearchCV(RandomForestRegressor(n_jobs=-1,\n",
    "                                                   random_state=42),\n",
    "                             param_distributions = rf_grid,\n",
    "                             n_iter = 100,\n",
    "                             cv = 5,\n",
    "                             verbose = True)\n",
    "\n",
    "# Fit the RandomizedSearchCV model\n",
    "rs_model.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "9a663827",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'n_estimators': 90,\n",
       " 'min_samples_split': 6,\n",
       " 'min_samples_leaf': 9,\n",
       " 'max_samples': None,\n",
       " 'max_features': 0.5,\n",
       " 'max_depth': None}"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Find the best model hyperparameters\n",
    "rs_model.best_params_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "3ab103c1",
   "metadata": {},
   "outputs": [],
   "source": [
    "my_model = RandomForestRegressor(n_estimators = 90,\n",
    "                                  min_samples_split = 6,\n",
    "                                  min_samples_leaf = 9,\n",
    "                                  max_samples = None,\n",
    "                                  max_features = 0.5,\n",
    "                                  max_depth = None,\n",
    "                                  random_state =42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "d3297f39",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-4 {color: black;background-color: white;}#sk-container-id-4 pre{padding: 0;}#sk-container-id-4 div.sk-toggleable {background-color: white;}#sk-container-id-4 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-4 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-4 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-4 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-4 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-4 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-4 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-4 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-4 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-4 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-4 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-4 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-4 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-4 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-4 div.sk-item {position: relative;z-index: 1;}#sk-container-id-4 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-4 div.sk-item::before, #sk-container-id-4 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-4 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-4 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-4 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-4 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-4 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-4 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-4 div.sk-label-container {text-align: center;}#sk-container-id-4 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-4 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-4\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestRegressor(max_features=0.5, min_samples_leaf=9, min_samples_split=6,\n",
       "                      n_estimators=90, random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-6\" type=\"checkbox\" checked><label for=\"sk-estimator-id-6\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestRegressor</label><div class=\"sk-toggleable__content\"><pre>RandomForestRegressor(max_features=0.5, min_samples_leaf=9, min_samples_split=6,\n",
       "                      n_estimators=90, random_state=42)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "RandomForestRegressor(max_features=0.5, min_samples_leaf=9, min_samples_split=6,\n",
       "                      n_estimators=90, random_state=42)"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_model.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "aeb26118",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Training MAE': 3742.7512302678265,\n",
       " 'Valid MAE': 10571.409982942887,\n",
       " 'Training RMSLE': 0.18051268629053474,\n",
       " 'Valid RMSLE': 0.40383246011386914,\n",
       " 'Training R^2': 0.9329070564264177,\n",
       " 'Valid R^2': 0.6058386365404032}"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Evaluate the RandomSearch model\n",
    "show_scores(my_model)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f1da2ad",
   "metadata": {},
   "source": [
    "### Train a model with the best hyperparameters\n",
    "\n",
    "**Note**: These were found after 100 iterations of `RandomizedSearchCV`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "d9374cf5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: total: 4min 7s\n",
      "Wall time: 1min 5s\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-5 {color: black;background-color: white;}#sk-container-id-5 pre{padding: 0;}#sk-container-id-5 div.sk-toggleable {background-color: white;}#sk-container-id-5 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-5 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-5 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-5 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-5 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-5 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-5 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-5 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-5 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-5 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-5 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-5 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-5 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-5 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-5 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-5 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-5 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-5 div.sk-item {position: relative;z-index: 1;}#sk-container-id-5 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-5 div.sk-item::before, #sk-container-id-5 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-5 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-5 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-5 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-5 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-5 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-5 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-5 div.sk-label-container {text-align: center;}#sk-container-id-5 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-5 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-5\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestRegressor(max_features=0.5, min_samples_split=14, n_estimators=40,\n",
       "                      n_jobs=-1, random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-7\" type=\"checkbox\" checked><label for=\"sk-estimator-id-7\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestRegressor</label><div class=\"sk-toggleable__content\"><pre>RandomForestRegressor(max_features=0.5, min_samples_split=14, n_estimators=40,\n",
       "                      n_jobs=-1, random_state=42)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "RandomForestRegressor(max_features=0.5, min_samples_split=14, n_estimators=40,\n",
       "                      n_jobs=-1, random_state=42)"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "# Most ideal hyperparameters\n",
    "ideal_model = RandomForestRegressor(n_estimators = 40,\n",
    "                                   min_samples_leaf = 1,\n",
    "                                   min_samples_split = 14,\n",
    "                                   max_features = 0.5,\n",
    "                                   n_jobs = -1,\n",
    "                                   max_samples = None,\n",
    "                                   random_state = 42)\n",
    "# Fit the ideal model\n",
    "ideal_model.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "80b953ee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Training MAE': 2942.345319619254,\n",
       " 'Valid MAE': 10358.317769324567,\n",
       " 'Training RMSLE': 0.14415366719640876,\n",
       " 'Valid RMSLE': 0.40318038329805933,\n",
       " 'Training R^2': 0.9591795600915429,\n",
       " 'Valid R^2': 0.6333487740894086}"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Scores for ideal_model(trained on all the data)\n",
    "show_scores(ideal_model)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b165681b",
   "metadata": {},
   "source": [
    "## Make predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "c01ce389",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load test data set\n",
    "df_test = pd.read_csv(\"data/bluebook-for-bulldozers/Test.csv\",\n",
    "                      low_memory = False,\n",
    "                      parse_dates = [\"saledate\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "eb0ef527",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SalesID</th>\n",
       "      <th>MachineID</th>\n",
       "      <th>ModelID</th>\n",
       "      <th>datasource</th>\n",
       "      <th>auctioneerID</th>\n",
       "      <th>YearMade</th>\n",
       "      <th>MachineHoursCurrentMeter</th>\n",
       "      <th>UsageBand</th>\n",
       "      <th>saledate</th>\n",
       "      <th>fiModelDesc</th>\n",
       "      <th>...</th>\n",
       "      <th>Undercarriage_Pad_Width</th>\n",
       "      <th>Stick_Length</th>\n",
       "      <th>Thumb</th>\n",
       "      <th>Pattern_Changer</th>\n",
       "      <th>Grouser_Type</th>\n",
       "      <th>Backhoe_Mounting</th>\n",
       "      <th>Blade_Type</th>\n",
       "      <th>Travel_Controls</th>\n",
       "      <th>Differential_Type</th>\n",
       "      <th>Steering_Controls</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1227829</td>\n",
       "      <td>1006309</td>\n",
       "      <td>3168</td>\n",
       "      <td>121</td>\n",
       "      <td>3</td>\n",
       "      <td>1999</td>\n",
       "      <td>3688.0</td>\n",
       "      <td>Low</td>\n",
       "      <td>2012-05-03</td>\n",
       "      <td>580G</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1227844</td>\n",
       "      <td>1022817</td>\n",
       "      <td>7271</td>\n",
       "      <td>121</td>\n",
       "      <td>3</td>\n",
       "      <td>1000</td>\n",
       "      <td>28555.0</td>\n",
       "      <td>High</td>\n",
       "      <td>2012-05-10</td>\n",
       "      <td>936</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Standard</td>\n",
       "      <td>Conventional</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1227847</td>\n",
       "      <td>1031560</td>\n",
       "      <td>22805</td>\n",
       "      <td>121</td>\n",
       "      <td>3</td>\n",
       "      <td>2004</td>\n",
       "      <td>6038.0</td>\n",
       "      <td>Medium</td>\n",
       "      <td>2012-05-10</td>\n",
       "      <td>EC210BLC</td>\n",
       "      <td>...</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>9' 6\"</td>\n",
       "      <td>Manual</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>Double</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1227848</td>\n",
       "      <td>56204</td>\n",
       "      <td>1269</td>\n",
       "      <td>121</td>\n",
       "      <td>3</td>\n",
       "      <td>2006</td>\n",
       "      <td>8940.0</td>\n",
       "      <td>High</td>\n",
       "      <td>2012-05-10</td>\n",
       "      <td>330CL</td>\n",
       "      <td>...</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>Manual</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Triple</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1227863</td>\n",
       "      <td>1053887</td>\n",
       "      <td>22312</td>\n",
       "      <td>121</td>\n",
       "      <td>3</td>\n",
       "      <td>2005</td>\n",
       "      <td>2286.0</td>\n",
       "      <td>Low</td>\n",
       "      <td>2012-05-10</td>\n",
       "      <td>650K</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>PAT</td>\n",
       "      <td>None or Unspecified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 52 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   SalesID  MachineID  ModelID  datasource  auctioneerID  YearMade  \\\n",
       "0  1227829    1006309     3168         121             3      1999   \n",
       "1  1227844    1022817     7271         121             3      1000   \n",
       "2  1227847    1031560    22805         121             3      2004   \n",
       "3  1227848      56204     1269         121             3      2006   \n",
       "4  1227863    1053887    22312         121             3      2005   \n",
       "\n",
       "   MachineHoursCurrentMeter UsageBand   saledate fiModelDesc  ...  \\\n",
       "0                    3688.0       Low 2012-05-03        580G  ...   \n",
       "1                   28555.0      High 2012-05-10         936  ...   \n",
       "2                    6038.0    Medium 2012-05-10    EC210BLC  ...   \n",
       "3                    8940.0      High 2012-05-10       330CL  ...   \n",
       "4                    2286.0       Low 2012-05-10        650K  ...   \n",
       "\n",
       "  Undercarriage_Pad_Width         Stick_Length   Thumb      Pattern_Changer  \\\n",
       "0                     NaN                  NaN     NaN                  NaN   \n",
       "1                     NaN                  NaN     NaN                  NaN   \n",
       "2     None or Unspecified                9' 6\"  Manual  None or Unspecified   \n",
       "3     None or Unspecified  None or Unspecified  Manual                  Yes   \n",
       "4                     NaN                  NaN     NaN                  NaN   \n",
       "\n",
       "  Grouser_Type     Backhoe_Mounting Blade_Type      Travel_Controls  \\\n",
       "0          NaN                  NaN        NaN                  NaN   \n",
       "1          NaN                  NaN        NaN                  NaN   \n",
       "2       Double                  NaN        NaN                  NaN   \n",
       "3       Triple                  NaN        NaN                  NaN   \n",
       "4          NaN  None or Unspecified        PAT  None or Unspecified   \n",
       "\n",
       "  Differential_Type Steering_Controls  \n",
       "0               NaN               NaN  \n",
       "1          Standard      Conventional  \n",
       "2               NaN               NaN  \n",
       "3               NaN               NaN  \n",
       "4               NaN               NaN  \n",
       "\n",
       "[5 rows x 52 columns]"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_test.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c7d255b",
   "metadata": {},
   "source": [
    "### Preprocessing the data (getting the test dataset in the same format as our training dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "f2b6ff47",
   "metadata": {},
   "outputs": [],
   "source": [
    "def preprocess_data(df):\n",
    "    \"\"\"\n",
    "    Performs transformations on df and returns transformed df.\n",
    "    \"\"\"\n",
    "    df[\"saleYear\"] = df.saledate.dt.year\n",
    "    df[\"saleMonth\"] = df.saledate.dt.month\n",
    "    df[\"saleDay\"] = df.saledate.dt.day\n",
    "    df[\"saleDayOfWeek\"] = df.saledate.dt.dayofweek\n",
    "    df[\"saleDayOfYear\"] = df.saledate.dt.dayofyear\n",
    "    \n",
    "    df.drop(\"saledate\", axis = 1, inplace = True)\n",
    "    \n",
    "    \n",
    "    for label, content in df.items():\n",
    "        if pd.api.types.is_numeric_dtype(content):\n",
    "            if pd.isnull(content).sum():\n",
    "                # Fill missing numeric values with median\n",
    "                df[label] = content.fillna(content.median())\n",
    "            # Fill categorical missing data and turn categories into numbers\n",
    "        if not pd.api.types.is_numeric_dtype(content):\n",
    "            df[label] = pd.Categorical(content).codes+1\n",
    "    \n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "1582b900",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Process  the test data\n",
    "X_test = preprocess_data(df_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "d3a92a15",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SalesID                     0\n",
       "MachineID                   0\n",
       "ModelID                     0\n",
       "datasource                  0\n",
       "auctioneerID                0\n",
       "YearMade                    0\n",
       "MachineHoursCurrentMeter    0\n",
       "UsageBand                   0\n",
       "fiModelDesc                 0\n",
       "fiBaseModel                 0\n",
       "fiSecondaryDesc             0\n",
       "fiModelSeries               0\n",
       "fiModelDescriptor           0\n",
       "ProductSize                 0\n",
       "fiProductClassDesc          0\n",
       "state                       0\n",
       "ProductGroup                0\n",
       "ProductGroupDesc            0\n",
       "Drive_System                0\n",
       "Enclosure                   0\n",
       "Forks                       0\n",
       "Pad_Type                    0\n",
       "Ride_Control                0\n",
       "Stick                       0\n",
       "Transmission                0\n",
       "Turbocharged                0\n",
       "Blade_Extension             0\n",
       "Blade_Width                 0\n",
       "Enclosure_Type              0\n",
       "Engine_Horsepower           0\n",
       "Hydraulics                  0\n",
       "Pushblock                   0\n",
       "Ripper                      0\n",
       "Scarifier                   0\n",
       "Tip_Control                 0\n",
       "Tire_Size                   0\n",
       "Coupler                     0\n",
       "Coupler_System              0\n",
       "Grouser_Tracks              0\n",
       "Hydraulics_Flow             0\n",
       "Track_Type                  0\n",
       "Undercarriage_Pad_Width     0\n",
       "Stick_Length                0\n",
       "Thumb                       0\n",
       "Pattern_Changer             0\n",
       "Grouser_Type                0\n",
       "Backhoe_Mounting            0\n",
       "Blade_Type                  0\n",
       "Travel_Controls             0\n",
       "Differential_Type           0\n",
       "Steering_Controls           0\n",
       "saleYear                    0\n",
       "saleMonth                   0\n",
       "saleDay                     0\n",
       "saleDayOfWeek               0\n",
       "saleDayOfYear               0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "ca257464",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "56"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(X_test.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "5aed4f16",
   "metadata": {},
   "outputs": [],
   "source": [
    "test_preds = ideal_model.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "f1029681",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "set()"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We can find how the columns differ using sets\n",
    "set(X_train.columns) - set(df_test.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "b7bc4ec3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SalesID</th>\n",
       "      <th>SalesPrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1227829</td>\n",
       "      <td>17357.713617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1227844</td>\n",
       "      <td>19437.399458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1227847</td>\n",
       "      <td>48291.397304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1227848</td>\n",
       "      <td>67254.362942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1227863</td>\n",
       "      <td>55602.210485</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   SalesID    SalesPrice\n",
       "0  1227829  17357.713617\n",
       "1  1227844  19437.399458\n",
       "2  1227847  48291.397304\n",
       "3  1227848  67254.362942\n",
       "4  1227863  55602.210485"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Format predictions into dame format Kaggle is after\n",
    "df_preds = pd.DataFrame()\n",
    "df_preds[\"SalesID\"] = df_test[\"SalesID\"]\n",
    "df_preds[\"SalesPrice\"] = test_preds\n",
    "df_preds.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "45e5d7b1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Export prediction data\n",
    "df_preds.to_csv(\"data/bluebook-for-bulldozers/test_predictions.csv\", index = False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "43ff40b3",
   "metadata": {},
   "source": [
    "## Feature Importance\n",
    "\n",
    "Feature importance seeks to figure out which different attributes of the data was most important when it comes to predicting the **target variable** (SalePrice)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "a7715de3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.03504446, 0.01737377, 0.04452544, 0.00201861, 0.00329883,\n",
       "       0.20660726, 0.00344748, 0.00114963, 0.04058348, 0.05493139,\n",
       "       0.06503969, 0.00575552, 0.0321875 , 0.17402344, 0.05321646,\n",
       "       0.00603849, 0.00377422, 0.0039449 , 0.00285774, 0.0452063 ,\n",
       "       0.00058484, 0.00022675, 0.00068161, 0.00023714, 0.00109263,\n",
       "       0.00205171, 0.00253838, 0.00713099, 0.00098058, 0.00118632,\n",
       "       0.00687476, 0.00636725, 0.00445288, 0.00199   , 0.00230712,\n",
       "       0.01849539, 0.00164826, 0.02175104, 0.0011747 , 0.00794414,\n",
       "       0.00134719, 0.00095435, 0.00156937, 0.00057406, 0.00038231,\n",
       "       0.00049513, 0.00073075, 0.00460091, 0.00080785, 0.00035168,\n",
       "       0.00083585, 0.07404403, 0.00384739, 0.00568805, 0.0029616 ,\n",
       "       0.0100684 ])"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Find feature importance of our best model\n",
    "ideal_model.feature_importances_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "b73a5462",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "56"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(ideal_model.feature_importances_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "7c5b3455",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Helper function for plotting feature importance\n",
    "def plot_features(columns, importances, n = 20):\n",
    "    df = (pd.DataFrame({\"features\": columns,\n",
    "                       \"feature_importances\": importances})\n",
    "          .sort_values(\"feature_importances\", ascending = False)\n",
    "          .reset_index(drop = True))\n",
    "    \n",
    "    # Plot the dataframe\n",
    "    fig, ax = plt.subplots()\n",
    "    ax.barh(df[\"features\"][:n], df[\"feature_importances\"][:20])\n",
    "    ax.set_ylabel(\"Features\")\n",
    "    ax.set_xlabel(\"Feature importance\")\n",
    "    ax.invert_yaxis()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "a20164c2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_features(X_train.columns, ideal_model.feature_importances_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "83af8f55",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    210775\n",
       "4     62274\n",
       "3     49678\n",
       "6     26494\n",
       "5     24840\n",
       "2     20975\n",
       "1      6089\n",
       "Name: ProductSize, dtype: int64"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train[\"ProductSize\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "a314c755",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Medium            64342\n",
       "Large / Medium    51297\n",
       "Small             27057\n",
       "Mini              25721\n",
       "Large             21396\n",
       "Compact            6280\n",
       "Name: ProductSize, dtype: int64"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"ProductSize\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "f0a30d7f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "OROPS                  177971\n",
       "EROPS                  141769\n",
       "EROPS w AC              92601\n",
       "EROPS AC                   18\n",
       "NO ROPS                     3\n",
       "None or Unspecified         2\n",
       "Name: Enclosure, dtype: int64"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"Enclosure\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "13f6eb94",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}