notebooks/autogluon_imodels_example.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "import warnings\n",
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from autogluon.tabular import TabularDataset, TabularPredictor"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "**load data**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# train data\n",
    "train_data = TabularDataset('https://autogluon.s3.amazonaws.com/datasets/Inc/train.csv')\n",
    "subsample_size = 100  # subsample subset of data for faster demo, try setting this to much larger values\n",
    "train_data = train_data.sample(n=subsample_size, random_state=0)\n",
    "# train_data.head()\n",
    "\n",
    "# test data\n",
    "test_data = TabularDataset('https://autogluon.s3.amazonaws.com/datasets/Inc/test.csv')\n",
    "label = 'class'\n",
    "y_test = test_data[label]  # values to predict\n",
    "test_data_nolab = test_data.drop(columns=[label])  # delete label column to prove we're not cheating\n",
    "# test_data_nolab.head()\n",
    "# print(\"Summary of class variable: \\n\", train_data[label].describe())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "# Fit models using interpretable preset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "**fit using interpretable preset**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No path specified. Models will be saved in: \"AutogluonModels/ag-20220615_052255/\"\n",
      "Presets specified: ['interpretable']\n",
      "Beginning AutoGluon training ... Time limit = 8s\n",
      "AutoGluon will save models to \"AutogluonModels/ag-20220615_052255/\"\n",
      "AutoGluon Version:  0.4.3b20220614\n",
      "Python Version:     3.8.9\n",
      "Operating System:   Darwin\n",
      "Train Data Rows:    100\n",
      "Train Data Columns: 14\n",
      "Label Column: class\n",
      "Preprocessing data ...\n",
      "AutoGluon infers your prediction problem is: 'binary' (because only two unique label-values observed).\n",
      "\t2 unique label values:  [' >50K', ' <=50K']\n",
      "\tIf 'binary' is not the correct problem_type, please manually specify the problem_type parameter during predictor init (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])\n",
      "Selected class <--> label mapping:  class 1 =  >50K, class 0 =  <=50K\n",
      "\tNote: For your binary classification, AutoGluon arbitrarily selected which label-value represents positive ( >50K) vs negative ( <=50K) class.\n",
      "\tTo explicitly set the positive_class, either rename classes to 1 and 0, or specify positive_class in Predictor init.\n",
      "Using Feature Generators to preprocess the data ...\n",
      "Fitting AutoMLPipelineFeatureGenerator...\n",
      "\tAvailable Memory:                    6551.46 MB\n",
      "\tTrain Data (Original)  Memory Usage: 0.06 MB (0.0% of available memory)\n",
      "\tInferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.\n",
      "\tStage 1 Generators:\n",
      "\t\tFitting AsTypeFeatureGenerator...\n",
      "\t\t\tNote: Converting 1 features to boolean dtype as they only contain 2 unique values.\n",
      "\tStage 2 Generators:\n",
      "\t\tFitting FillNaFeatureGenerator...\n",
      "\tStage 3 Generators:\n",
      "\t\tFitting IdentityFeatureGenerator...\n",
      "\t\tFitting CategoryFeatureGenerator...\n",
      "\t\t\tFitting CategoryMemoryMinimizeFeatureGenerator...\n",
      "\tStage 4 Generators:\n",
      "\t\tFitting DropUniqueFeatureGenerator...\n",
      "\tTypes of features in original data (raw dtype, special dtypes):\n",
      "\t\t('int', [])    : 6 | ['age', 'fnlwgt', 'education-num', 'capital-gain', 'capital-loss', ...]\n",
      "\t\t('object', []) : 8 | ['workclass', 'education', 'marital-status', 'occupation', 'relationship', ...]\n",
      "\tTypes of features in processed data (raw dtype, special dtypes):\n",
      "\t\t('category', [])  : 7 | ['workclass', 'education', 'marital-status', 'occupation', 'relationship', ...]\n",
      "\t\t('int', [])       : 6 | ['age', 'fnlwgt', 'education-num', 'capital-gain', 'capital-loss', ...]\n",
      "\t\t('int', ['bool']) : 1 | ['sex']\n",
      "\t0.0s = Fit runtime\n",
      "\t14 features in original data used to generate 14 features in processed data.\n",
      "\tTrain Data (Processed) Memory Usage: 0.01 MB (0.0% of available memory)\n",
      "Data preprocessing and feature engineering runtime = 0.04s ...\n",
      "AutoGluon will gauge predictive performance using evaluation metric: 'accuracy'\n",
      "\tTo change this, specify the eval_metric parameter of Predictor()\n",
      "Automatically generating train/validation split with holdout_frac=0.2, Train Rows: 80, Val Rows: 20\n",
      "Fitting 12 L1 models ...\n",
      "Fitting model: RuleFit ... Training model for up to 7.96s of the 7.96s of remaining time.\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.7s\t = Training   runtime\n",
      "\t0.01s\t = Validation runtime\n",
      "Fitting model: RuleFit_2 ... Training model for up to 7.24s of the 7.24s of remaining time.\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.35s\t = Training   runtime\n",
      "\t0.01s\t = Validation runtime\n",
      "Fitting model: RuleFit_3 ... Training model for up to 6.88s of the 6.88s of remaining time.\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.38s\t = Training   runtime\n",
      "\t0.02s\t = Validation runtime\n",
      "Fitting model: GreedyTree ... Training model for up to 6.48s of the 6.48s of remaining time.\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitting model: BoostedRules ... Training model for up to 6.47s of the 6.47s of remaining time.\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitting model: BoostedRules_2 ... Training model for up to 6.46s of the 6.45s of remaining time.\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitting model: Figs ... Training model for up to 6.44s of the 6.44s of remaining time.\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitting model: Figs_2 ... Training model for up to 6.42s of the 6.42s of remaining time.\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitting model: Figs_3 ... Training model for up to 6.41s of the 6.41s of remaining time.\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitting model: HierarchicalShrinkageTree ... Training model for up to 6.39s of the 6.39s of remaining time.\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.13s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitting model: HierarchicalShrinkageTree_2 ... Training model for up to 6.26s of the 6.26s of remaining time.\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.13s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitting model: HierarchicalShrinkageTree_3 ... Training model for up to 6.12s of the 6.12s of remaining time.\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.13s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitting model: WeightedEnsemble_L2 ... Training model for up to 7.96s of the 5.91s of remaining time.\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.08s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "AutoGluon training complete, total runtime = 2.18s ... Best model: \"WeightedEnsemble_L2\"\n",
      "TabularPredictor saved. To load, use: predictor = TabularPredictor.load(\"AutogluonModels/ag-20220615_052255/\")\n"
     ]
    }
   ],
   "source": [
    "import warnings\n",
    "warnings.simplefilter('ignore')\n",
    "predictor = TabularPredictor(label=label).fit(train_data, presets='interpretable', time_limit=8, verbosity=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": "                          model  score_val  pred_time_val  fit_time  \\\n0     HierarchicalShrinkageTree       0.80       0.003300  0.126335   \n1                        Figs_2       0.80       0.003336  0.011350   \n2                  BoostedRules       0.80       0.003460  0.009751   \n3                          Figs       0.80       0.003644  0.009727   \n4           WeightedEnsemble_L2       0.80       0.003815  0.086964   \n5                    GreedyTree       0.80       0.003904  0.008670   \n6                BoostedRules_2       0.80       0.003924  0.010790   \n7                     RuleFit_2       0.80       0.011362  0.352728   \n8   HierarchicalShrinkageTree_2       0.75       0.003248  0.129449   \n9                        Figs_3       0.75       0.003540  0.011888   \n10  HierarchicalShrinkageTree_3       0.75       0.003758  0.133090   \n11                      RuleFit       0.75       0.007602  0.703698   \n12                    RuleFit_3       0.75       0.015507  0.376843   \n\n    pred_time_val_marginal  fit_time_marginal  stack_level  can_infer  \\\n0                 0.003300           0.126335            1       True   \n1                 0.003336           0.011350            1       True   \n2                 0.003460           0.009751            1       True   \n3                 0.003644           0.009727            1       True   \n4                 0.000171           0.077237            2       True   \n5                 0.003904           0.008670            1       True   \n6                 0.003924           0.010790            1       True   \n7                 0.011362           0.352728            1       True   \n8                 0.003248           0.129449            1       True   \n9                 0.003540           0.011888            1       True   \n10                0.003758           0.133090            1       True   \n11                0.007602           0.703698            1       True   \n12                0.015507           0.376843            1       True   \n\n    fit_order  \n0          10  \n1           8  \n2           5  \n3           7  \n4          13  \n5           4  \n6           6  \n7           2  \n8          11  \n9           9  \n10         12  \n11          1  \n12          3  ",
      "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>model</th>\n      <th>score_val</th>\n      <th>pred_time_val</th>\n      <th>fit_time</th>\n      <th>pred_time_val_marginal</th>\n      <th>fit_time_marginal</th>\n      <th>stack_level</th>\n      <th>can_infer</th>\n      <th>fit_order</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>HierarchicalShrinkageTree</td>\n      <td>0.80</td>\n      <td>0.003300</td>\n      <td>0.126335</td>\n      <td>0.003300</td>\n      <td>0.126335</td>\n      <td>1</td>\n      <td>True</td>\n      <td>10</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Figs_2</td>\n      <td>0.80</td>\n      <td>0.003336</td>\n      <td>0.011350</td>\n      <td>0.003336</td>\n      <td>0.011350</td>\n      <td>1</td>\n      <td>True</td>\n      <td>8</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>BoostedRules</td>\n      <td>0.80</td>\n      <td>0.003460</td>\n      <td>0.009751</td>\n      <td>0.003460</td>\n      <td>0.009751</td>\n      <td>1</td>\n      <td>True</td>\n      <td>5</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Figs</td>\n      <td>0.80</td>\n      <td>0.003644</td>\n      <td>0.009727</td>\n      <td>0.003644</td>\n      <td>0.009727</td>\n      <td>1</td>\n      <td>True</td>\n      <td>7</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>WeightedEnsemble_L2</td>\n      <td>0.80</td>\n      <td>0.003815</td>\n      <td>0.086964</td>\n      <td>0.000171</td>\n      <td>0.077237</td>\n      <td>2</td>\n      <td>True</td>\n      <td>13</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>GreedyTree</td>\n      <td>0.80</td>\n      <td>0.003904</td>\n      <td>0.008670</td>\n      <td>0.003904</td>\n      <td>0.008670</td>\n      <td>1</td>\n      <td>True</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>BoostedRules_2</td>\n      <td>0.80</td>\n      <td>0.003924</td>\n      <td>0.010790</td>\n      <td>0.003924</td>\n      <td>0.010790</td>\n      <td>1</td>\n      <td>True</td>\n      <td>6</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>RuleFit_2</td>\n      <td>0.80</td>\n      <td>0.011362</td>\n      <td>0.352728</td>\n      <td>0.011362</td>\n      <td>0.352728</td>\n      <td>1</td>\n      <td>True</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>HierarchicalShrinkageTree_2</td>\n      <td>0.75</td>\n      <td>0.003248</td>\n      <td>0.129449</td>\n      <td>0.003248</td>\n      <td>0.129449</td>\n      <td>1</td>\n      <td>True</td>\n      <td>11</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>Figs_3</td>\n      <td>0.75</td>\n      <td>0.003540</td>\n      <td>0.011888</td>\n      <td>0.003540</td>\n      <td>0.011888</td>\n      <td>1</td>\n      <td>True</td>\n      <td>9</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>HierarchicalShrinkageTree_3</td>\n      <td>0.75</td>\n      <td>0.003758</td>\n      <td>0.133090</td>\n      <td>0.003758</td>\n      <td>0.133090</td>\n      <td>1</td>\n      <td>True</td>\n      <td>12</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>RuleFit</td>\n      <td>0.75</td>\n      <td>0.007602</td>\n      <td>0.703698</td>\n      <td>0.007602</td>\n      <td>0.703698</td>\n      <td>1</td>\n      <td>True</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>RuleFit_3</td>\n      <td>0.75</td>\n      <td>0.015507</td>\n      <td>0.376843</td>\n      <td>0.015507</td>\n      <td>0.376843</td>\n      <td>1</td>\n      <td>True</td>\n      <td>3</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictor.leaderboard(silent=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": "                                   model_types  model_performance  complexity  \\\nFigs                                 FigsModel               0.80         6.0   \nGreedyTree                     GreedyTreeModel               0.80         8.0   \nFigs_2                               FigsModel               0.80         8.0   \nHierarchicalShrinkageTree          HSTreeModel               0.80         8.0   \nBoostedRules                 BoostedRulesModel               0.80        10.0   \nBoostedRules_2               BoostedRulesModel               0.80        20.0   \nRuleFit_2                         RuleFitModel               0.80        27.0   \nFigs_3                               FigsModel               0.75         8.0   \nHierarchicalShrinkageTree_2        HSTreeModel               0.75         8.0   \nHierarchicalShrinkageTree_3        HSTreeModel               0.75         8.0   \nRuleFit                           RuleFitModel               0.75        11.0   \nRuleFit_3                         RuleFitModel               0.75        47.0   \n\n                                      model_best  \\\nFigs                         WeightedEnsemble_L2   \nGreedyTree                   WeightedEnsemble_L2   \nFigs_2                       WeightedEnsemble_L2   \nHierarchicalShrinkageTree    WeightedEnsemble_L2   \nBoostedRules                 WeightedEnsemble_L2   \nBoostedRules_2               WeightedEnsemble_L2   \nRuleFit_2                    WeightedEnsemble_L2   \nFigs_3                       WeightedEnsemble_L2   \nHierarchicalShrinkageTree_2  WeightedEnsemble_L2   \nHierarchicalShrinkageTree_3  WeightedEnsemble_L2   \nRuleFit                      WeightedEnsemble_L2   \nRuleFit_3                    WeightedEnsemble_L2   \n\n                                                                   model_paths  \\\nFigs                           AutogluonModels/ag-20220615_052255/models/Figs/   \nGreedyTree                   AutogluonModels/ag-20220615_052255/models/Gree...   \nFigs_2                       AutogluonModels/ag-20220615_052255/models/Figs_2/   \nHierarchicalShrinkageTree    AutogluonModels/ag-20220615_052255/models/Hier...   \nBoostedRules                 AutogluonModels/ag-20220615_052255/models/Boos...   \nBoostedRules_2               AutogluonModels/ag-20220615_052255/models/Boos...   \nRuleFit_2                    AutogluonModels/ag-20220615_052255/models/Rule...   \nFigs_3                       AutogluonModels/ag-20220615_052255/models/Figs_3/   \nHierarchicalShrinkageTree_2  AutogluonModels/ag-20220615_052255/models/Hier...   \nHierarchicalShrinkageTree_3  AutogluonModels/ag-20220615_052255/models/Hier...   \nRuleFit                      AutogluonModels/ag-20220615_052255/models/Rule...   \nRuleFit_3                    AutogluonModels/ag-20220615_052255/models/Rule...   \n\n                             model_fit_times  model_pred_times  num_bag_folds  \\\nFigs                                0.009727          0.003644              0   \nGreedyTree                          0.008670          0.003904              0   \nFigs_2                              0.011350          0.003336              0   \nHierarchicalShrinkageTree           0.126335          0.003300              0   \nBoostedRules                        0.009751          0.003460              0   \nBoostedRules_2                      0.010790          0.003924              0   \nRuleFit_2                           0.352728          0.011362              0   \nFigs_3                              0.011888          0.003540              0   \nHierarchicalShrinkageTree_2         0.129449          0.003248              0   \nHierarchicalShrinkageTree_3         0.133090          0.003758              0   \nRuleFit                             0.703698          0.007602              0   \nRuleFit_3                           0.376843          0.015507              0   \n\n                             max_stack_level  num_classes  \\\nFigs                                       2            2   \nGreedyTree                                 2            2   \nFigs_2                                     2            2   \nHierarchicalShrinkageTree                  2            2   \nBoostedRules                               2            2   \nBoostedRules_2                             2            2   \nRuleFit_2                                  2            2   \nFigs_3                                     2            2   \nHierarchicalShrinkageTree_2                2            2   \nHierarchicalShrinkageTree_3                2            2   \nRuleFit                                    2            2   \nRuleFit_3                                  2            2   \n\n                                                     model_hyperparams  \nFigs                               {'random_state': 0, 'max_rules': 6}  \nGreedyTree                   {'random_state': 0, 'max_leaf_nodes': 18}  \nFigs_2                            {'random_state': 0, 'max_rules': 10}  \nHierarchicalShrinkageTree          {'random_state': 0, 'max_rules': 6}  \nBoostedRules                    {'random_state': 0, 'n_estimators': 5}  \nBoostedRules_2                 {'random_state': 0, 'n_estimators': 10}  \nRuleFit_2                         {'random_state': 0, 'max_rules': 12}  \nFigs_3                            {'random_state': 0, 'max_rules': 15}  \nHierarchicalShrinkageTree_2       {'random_state': 0, 'max_rules': 12}  \nHierarchicalShrinkageTree_3       {'random_state': 0, 'max_rules': 18}  \nRuleFit                            {'random_state': 0, 'max_rules': 7}  \nRuleFit_3                         {'random_state': 0, 'max_rules': 18}  ",
      "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>model_types</th>\n      <th>model_performance</th>\n      <th>complexity</th>\n      <th>model_best</th>\n      <th>model_paths</th>\n      <th>model_fit_times</th>\n      <th>model_pred_times</th>\n      <th>num_bag_folds</th>\n      <th>max_stack_level</th>\n      <th>num_classes</th>\n      <th>model_hyperparams</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>Figs</th>\n      <td>FigsModel</td>\n      <td>0.80</td>\n      <td>6.0</td>\n      <td>WeightedEnsemble_L2</td>\n      <td>AutogluonModels/ag-20220615_052255/models/Figs/</td>\n      <td>0.009727</td>\n      <td>0.003644</td>\n      <td>0</td>\n      <td>2</td>\n      <td>2</td>\n      <td>{'random_state': 0, 'max_rules': 6}</td>\n    </tr>\n    <tr>\n      <th>GreedyTree</th>\n      <td>GreedyTreeModel</td>\n      <td>0.80</td>\n      <td>8.0</td>\n      <td>WeightedEnsemble_L2</td>\n      <td>AutogluonModels/ag-20220615_052255/models/Gree...</td>\n      <td>0.008670</td>\n      <td>0.003904</td>\n      <td>0</td>\n      <td>2</td>\n      <td>2</td>\n      <td>{'random_state': 0, 'max_leaf_nodes': 18}</td>\n    </tr>\n    <tr>\n      <th>Figs_2</th>\n      <td>FigsModel</td>\n      <td>0.80</td>\n      <td>8.0</td>\n      <td>WeightedEnsemble_L2</td>\n      <td>AutogluonModels/ag-20220615_052255/models/Figs_2/</td>\n      <td>0.011350</td>\n      <td>0.003336</td>\n      <td>0</td>\n      <td>2</td>\n      <td>2</td>\n      <td>{'random_state': 0, 'max_rules': 10}</td>\n    </tr>\n    <tr>\n      <th>HierarchicalShrinkageTree</th>\n      <td>HSTreeModel</td>\n      <td>0.80</td>\n      <td>8.0</td>\n      <td>WeightedEnsemble_L2</td>\n      <td>AutogluonModels/ag-20220615_052255/models/Hier...</td>\n      <td>0.126335</td>\n      <td>0.003300</td>\n      <td>0</td>\n      <td>2</td>\n      <td>2</td>\n      <td>{'random_state': 0, 'max_rules': 6}</td>\n    </tr>\n    <tr>\n      <th>BoostedRules</th>\n      <td>BoostedRulesModel</td>\n      <td>0.80</td>\n      <td>10.0</td>\n      <td>WeightedEnsemble_L2</td>\n      <td>AutogluonModels/ag-20220615_052255/models/Boos...</td>\n      <td>0.009751</td>\n      <td>0.003460</td>\n      <td>0</td>\n      <td>2</td>\n      <td>2</td>\n      <td>{'random_state': 0, 'n_estimators': 5}</td>\n    </tr>\n    <tr>\n      <th>BoostedRules_2</th>\n      <td>BoostedRulesModel</td>\n      <td>0.80</td>\n      <td>20.0</td>\n      <td>WeightedEnsemble_L2</td>\n      <td>AutogluonModels/ag-20220615_052255/models/Boos...</td>\n      <td>0.010790</td>\n      <td>0.003924</td>\n      <td>0</td>\n      <td>2</td>\n      <td>2</td>\n      <td>{'random_state': 0, 'n_estimators': 10}</td>\n    </tr>\n    <tr>\n      <th>RuleFit_2</th>\n      <td>RuleFitModel</td>\n      <td>0.80</td>\n      <td>27.0</td>\n      <td>WeightedEnsemble_L2</td>\n      <td>AutogluonModels/ag-20220615_052255/models/Rule...</td>\n      <td>0.352728</td>\n      <td>0.011362</td>\n      <td>0</td>\n      <td>2</td>\n      <td>2</td>\n      <td>{'random_state': 0, 'max_rules': 12}</td>\n    </tr>\n    <tr>\n      <th>Figs_3</th>\n      <td>FigsModel</td>\n      <td>0.75</td>\n      <td>8.0</td>\n      <td>WeightedEnsemble_L2</td>\n      <td>AutogluonModels/ag-20220615_052255/models/Figs_3/</td>\n      <td>0.011888</td>\n      <td>0.003540</td>\n      <td>0</td>\n      <td>2</td>\n      <td>2</td>\n      <td>{'random_state': 0, 'max_rules': 15}</td>\n    </tr>\n    <tr>\n      <th>HierarchicalShrinkageTree_2</th>\n      <td>HSTreeModel</td>\n      <td>0.75</td>\n      <td>8.0</td>\n      <td>WeightedEnsemble_L2</td>\n      <td>AutogluonModels/ag-20220615_052255/models/Hier...</td>\n      <td>0.129449</td>\n      <td>0.003248</td>\n      <td>0</td>\n      <td>2</td>\n      <td>2</td>\n      <td>{'random_state': 0, 'max_rules': 12}</td>\n    </tr>\n    <tr>\n      <th>HierarchicalShrinkageTree_3</th>\n      <td>HSTreeModel</td>\n      <td>0.75</td>\n      <td>8.0</td>\n      <td>WeightedEnsemble_L2</td>\n      <td>AutogluonModels/ag-20220615_052255/models/Hier...</td>\n      <td>0.133090</td>\n      <td>0.003758</td>\n      <td>0</td>\n      <td>2</td>\n      <td>2</td>\n      <td>{'random_state': 0, 'max_rules': 18}</td>\n    </tr>\n    <tr>\n      <th>RuleFit</th>\n      <td>RuleFitModel</td>\n      <td>0.75</td>\n      <td>11.0</td>\n      <td>WeightedEnsemble_L2</td>\n      <td>AutogluonModels/ag-20220615_052255/models/Rule...</td>\n      <td>0.703698</td>\n      <td>0.007602</td>\n      <td>0</td>\n      <td>2</td>\n      <td>2</td>\n      <td>{'random_state': 0, 'max_rules': 7}</td>\n    </tr>\n    <tr>\n      <th>RuleFit_3</th>\n      <td>RuleFitModel</td>\n      <td>0.75</td>\n      <td>47.0</td>\n      <td>WeightedEnsemble_L2</td>\n      <td>AutogluonModels/ag-20220615_052255/models/Rule...</td>\n      <td>0.376843</td>\n      <td>0.015507</td>\n      <td>0</td>\n      <td>2</td>\n      <td>2</td>\n      <td>{'random_state': 0, 'max_rules': 18}</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictor.interpretable_models_summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "> ------------------------------\n",
      "> FIGS-Fast Interpretable Greedy-Tree Sums:\n",
      "> \tPredictions are made by summing the \"Val\" reached by traversing each tree\n",
      "> ------------------------------\n",
      "marital-status_1.0 <= 0.500 (Tree #0 root)\n",
      "\tVal: 0.000 (leaf)\n",
      "\tage <= 36.000 (split)\n",
      "\t\tVal: 0.000 (leaf)\n",
      "\t\toccupation_5.0 <= 0.500 (split)\n",
      "\t\t\tfnlwgt <= 211963.500 (split)\n",
      "\t\t\t\teducation_0.0 <= 0.500 (split)\n",
      "\t\t\t\t\tVal: 1.000 (leaf)\n",
      "\t\t\t\t\tVal: 0.000 (leaf)\n",
      "\t\t\t\tfnlwgt <= 240006.000 (split)\n",
      "\t\t\t\t\tVal: 0.000 (leaf)\n",
      "\t\t\t\t\tVal: 0.714 (leaf)\n",
      "\t\t\tVal: 0.000 (leaf)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "predictor.print_interpretable_rules() # automatically selects a model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "> ------------------------------\n",
      "> RuleFit:\n",
      "> \tPredictions are made by summing the coefficients of each rule\n",
      "> ------------------------------\n",
      "                                                               rule  coef\n",
      "age <= 58.5 and occupation_8.0 <= 0.5 and native-country_nan <= 0.5 -0.07\n",
      "                               age <= 43.0 and education_9.0 <= 0.5 -0.05\n",
      "                                          marital-status_1.0 <= 0.5 -0.37\n",
      "               marital-status_1.0 <= 0.5 and hours-per-week <= 55.0 -0.67\n",
      "                                                        age <= 36.0 -0.14\n",
      "                                                        age <= 35.5 -0.26\n",
      "                                                        age <= 36.5 -0.00\n",
      "\n",
      "> ------------------------------\n",
      "> Greedy CART Tree:\n",
      "> \tPrediction is made by looking at the value in the appropriate leaf of the tree\n",
      "> ------------------------------\n",
      "|--- marital-status_1.0 <= 0.50\n",
      "|   |--- weights: [42.00, 0.00] class: 0\n",
      "|--- marital-status_1.0 >  0.50\n",
      "|   |--- age <= 36.00\n",
      "|   |   |--- weights: [10.00, 0.00] class: 0\n",
      "|   |--- age >  36.00\n",
      "|   |   |--- occupation_5.0 <= 0.50\n",
      "|   |   |   |--- fnlwgt <= 211963.50\n",
      "|   |   |   |   |--- education_0.0 <= 0.50\n",
      "|   |   |   |   |   |--- weights: [0.00, 16.00] class: 1\n",
      "|   |   |   |   |--- education_0.0 >  0.50\n",
      "|   |   |   |   |   |--- weights: [1.00, 0.00] class: 0\n",
      "|   |   |   |--- fnlwgt >  211963.50\n",
      "|   |   |   |   |--- age <= 55.50\n",
      "|   |   |   |   |   |--- hours-per-week <= 50.00\n",
      "|   |   |   |   |   |   |--- weights: [0.00, 4.00] class: 1\n",
      "|   |   |   |   |   |--- hours-per-week >  50.00\n",
      "|   |   |   |   |   |   |--- workclass_4.0 <= 0.50\n",
      "|   |   |   |   |   |   |   |--- weights: [2.00, 0.00] class: 0\n",
      "|   |   |   |   |   |   |--- workclass_4.0 >  0.50\n",
      "|   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1\n",
      "|   |   |   |   |--- age >  55.50\n",
      "|   |   |   |   |   |--- weights: [2.00, 0.00] class: 0\n",
      "|   |   |--- occupation_5.0 >  0.50\n",
      "|   |   |   |--- weights: [2.00, 0.00] class: 0\n",
      "\n",
      "> ------------------------------\n",
      "> BoostedRules:\n",
      "> \tRule → predicted probability (final prediction is weighted sum of all predictions)\n",
      "> ------------------------------\n",
      "  If\u001B[96m marital-status_1.0 <= 0.5\u001B[00m → 0.47 (weight: 0.65)\n",
      "  If\u001B[96m marital-status_1.0 > 0.5\u001B[00m → 0.00 (weight: 0.80)\n",
      "  If\u001B[96m age <= 36.0\u001B[00m → 0.54 (weight: 0.71)\n",
      "  If\u001B[96m age > 36.0\u001B[00m → 0.00 (weight: 0.40)\n",
      "  If\u001B[96m age <= 36.0\u001B[00m → 0.47 (weight: 0.40)\n",
      "\n",
      "> ------------------------------\n",
      "> FIGS-Fast Interpretable Greedy-Tree Sums:\n",
      "> \tPredictions are made by summing the \"Val\" reached by traversing each tree\n",
      "> ------------------------------\n",
      "marital-status_1.0 <= 0.500 (Tree #0 root)\n",
      "\tVal: 0.000 (leaf)\n",
      "\tage <= 36.000 (split)\n",
      "\t\tVal: 0.000 (leaf)\n",
      "\t\toccupation_5.0 <= 0.500 (split)\n",
      "\t\t\tfnlwgt <= 211963.500 (split)\n",
      "\t\t\t\teducation_0.0 <= 0.500 (split)\n",
      "\t\t\t\t\tVal: 1.000 (leaf)\n",
      "\t\t\t\t\tVal: 0.000 (leaf)\n",
      "\t\t\t\tfnlwgt <= 240006.000 (split)\n",
      "\t\t\t\t\tVal: 0.000 (leaf)\n",
      "\t\t\t\t\tVal: 0.714 (leaf)\n",
      "\t\t\tVal: 0.000 (leaf)\n",
      "\n",
      "> ------------------------------\n",
      "> Decision Tree with Hierarchical Shrinkage\n",
      "> \tPrediction is made by looking at the value in the appropriate leaf of the tree\n",
      "> ------------------------------\n",
      "|--- feature_28 <= 0.50\n",
      "|   |--- weights: [0.90, 0.10] class: 0\n",
      "|--- feature_28 >  0.50\n",
      "|   |--- feature_0 <= 36.00\n",
      "|   |   |--- weights: [0.80, 0.20] class: 0\n",
      "|   |--- feature_0 >  36.00\n",
      "|   |   |--- feature_38 <= 0.50\n",
      "|   |   |   |--- feature_1 <= 211963.50\n",
      "|   |   |   |   |--- feature_14 <= 0.50\n",
      "|   |   |   |   |   |--- weights: [0.39, 0.61] class: 1\n",
      "|   |   |   |   |--- feature_14 >  0.50\n",
      "|   |   |   |   |   |--- weights: [0.65, 0.35] class: 0\n",
      "|   |   |   |--- feature_1 >  211963.50\n",
      "|   |   |   |   |--- feature_1 <= 240006.00\n",
      "|   |   |   |   |   |--- weights: [0.62, 0.38] class: 0\n",
      "|   |   |   |   |--- feature_1 >  240006.00\n",
      "|   |   |   |   |   |--- feature_9 <= 0.50\n",
      "|   |   |   |   |   |   |--- feature_21 <= 0.50\n",
      "|   |   |   |   |   |   |   |--- weights: [0.48, 0.52] class: 1\n",
      "|   |   |   |   |   |   |--- feature_21 >  0.50\n",
      "|   |   |   |   |   |   |   |--- weights: [0.59, 0.41] class: 0\n",
      "|   |   |   |   |   |--- feature_9 >  0.50\n",
      "|   |   |   |   |   |   |--- weights: [0.60, 0.40] class: 0\n",
      "|   |   |--- feature_38 >  0.50\n",
      "|   |   |   |--- weights: [0.74, 0.26] class: 0\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for model_name in ['RuleFit', 'GreedyTree', 'BoostedRules', 'Figs', 'HierarchicalShrinkageTree']: #, 'OptimalTree', 'OptimalRuleList':\n",
    "    predictor.print_interpretable_rules(model_name=model_name)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "**fit custom model once (could also include other default models here)**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No path specified. Models will be saved in: \"AutogluonModels/ag-20220615_050719/\"\n",
      "Beginning AutoGluon training ...\n",
      "AutoGluon will save models to \"AutogluonModels/ag-20220615_050719/\"\n",
      "AutoGluon Version:  0.4.3b20220614\n",
      "Python Version:     3.8.9\n",
      "Operating System:   Darwin\n",
      "Train Data Rows:    100\n",
      "Train Data Columns: 14\n",
      "Label Column: class\n",
      "Preprocessing data ...\n",
      "AutoGluon infers your prediction problem is: 'binary' (because only two unique label-values observed).\n",
      "\t2 unique label values:  [' >50K', ' <=50K']\n",
      "\tIf 'binary' is not the correct problem_type, please manually specify the problem_type parameter during predictor init (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])\n",
      "Selected class <--> label mapping:  class 1 =  >50K, class 0 =  <=50K\n",
      "\tNote: For your binary classification, AutoGluon arbitrarily selected which label-value represents positive ( >50K) vs negative ( <=50K) class.\n",
      "\tTo explicitly set the positive_class, either rename classes to 1 and 0, or specify positive_class in Predictor init.\n",
      "Using Feature Generators to preprocess the data ...\n",
      "Fitting AutoMLPipelineFeatureGenerator...\n",
      "\tAvailable Memory:                    6146.57 MB\n",
      "\tTrain Data (Original)  Memory Usage: 0.06 MB (0.0% of available memory)\n",
      "\tInferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.\n",
      "\tStage 1 Generators:\n",
      "\t\tFitting AsTypeFeatureGenerator...\n",
      "\t\t\tNote: Converting 1 features to boolean dtype as they only contain 2 unique values.\n",
      "\tStage 2 Generators:\n",
      "\t\tFitting FillNaFeatureGenerator...\n",
      "\tStage 3 Generators:\n",
      "\t\tFitting IdentityFeatureGenerator...\n",
      "\t\tFitting CategoryFeatureGenerator...\n",
      "\t\t\tFitting CategoryMemoryMinimizeFeatureGenerator...\n",
      "\tStage 4 Generators:\n",
      "\t\tFitting DropUniqueFeatureGenerator...\n",
      "\tTypes of features in original data (raw dtype, special dtypes):\n",
      "\t\t('int', [])    : 6 | ['age', 'fnlwgt', 'education-num', 'capital-gain', 'capital-loss', ...]\n",
      "\t\t('object', []) : 8 | ['workclass', 'education', 'marital-status', 'occupation', 'relationship', ...]\n",
      "\tTypes of features in processed data (raw dtype, special dtypes):\n",
      "\t\t('category', [])  : 7 | ['workclass', 'education', 'marital-status', 'occupation', 'relationship', ...]\n",
      "\t\t('int', [])       : 6 | ['age', 'fnlwgt', 'education-num', 'capital-gain', 'capital-loss', ...]\n",
      "\t\t('int', ['bool']) : 1 | ['sex']\n",
      "\t0.0s = Fit runtime\n",
      "\t14 features in original data used to generate 14 features in processed data.\n",
      "\tTrain Data (Processed) Memory Usage: 0.01 MB (0.0% of available memory)\n",
      "Data preprocessing and feature engineering runtime = 0.04s ...\n",
      "AutoGluon will gauge predictive performance using evaluation metric: 'accuracy'\n",
      "\tTo change this, specify the eval_metric parameter of Predictor()\n",
      "Automatically generating train/validation split with holdout_frac=0.2, Train Rows: 80, Val Rows: 20\n",
      "Custom Model Type Detected: <class 'autogluon.tabular.models.imodels.imodels_models.GreedyTreeModel'>\n",
      "Fitting 1 L1 models ...\n",
      "Fitting model: GreedyTree ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitting model: WeightedEnsemble_L2 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.0s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "AutoGluon training complete, total runtime = 0.08s ... Best model: \"WeightedEnsemble_L2\"\n",
      "TabularPredictor saved. To load, use: predictor = TabularPredictor.load(\"AutogluonModels/ag-20220615_050719/\")\n"
     ]
    }
   ],
   "source": [
    "from autogluon.tabular.models import RuleFitModel, GreedyTreeModel, \\\n",
    "  FigsModel, HSTreeModel, BoostedRulesModel\n",
    "\n",
    "# hyperparams = get_hyperparameter_config('default') # get all default hyperparams for various models\n",
    "custom_hyperparameters = {\n",
    "#     RuleFitModel: [{}, {'max_rules': 4}], # empty brackets are default hyperparams\n",
    "    GreedyTreeModel: [{}],\n",
    "}  # Train 3 CustomRandomForestModel with different hyperparameters\n",
    "predictor = TabularPredictor(label=label).fit(train_data, hyperparameters=custom_hyperparameters, verbosity=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "# tune custom models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No path specified. Models will be saved in: \"AutogluonModels/ag-20220615_043726/\"\n",
      "Warning: hyperparameter tuning is currently experimental and may cause the process to hang.\n",
      "Beginning AutoGluon training ... Time limit = 60s\n",
      "AutoGluon will save models to \"AutogluonModels/ag-20220615_043726/\"\n",
      "AutoGluon Version:  0.4.3b20220614\n",
      "Python Version:     3.8.9\n",
      "Operating System:   Darwin\n",
      "Train Data Rows:    100\n",
      "Train Data Columns: 14\n",
      "Label Column: class\n",
      "Preprocessing data ...\n",
      "AutoGluon infers your prediction problem is: 'binary' (because only two unique label-values observed).\n",
      "\t2 unique label values:  [' >50K', ' <=50K']\n",
      "\tIf 'binary' is not the correct problem_type, please manually specify the problem_type parameter during predictor init (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])\n",
      "Selected class <--> label mapping:  class 1 =  >50K, class 0 =  <=50K\n",
      "\tNote: For your binary classification, AutoGluon arbitrarily selected which label-value represents positive ( >50K) vs negative ( <=50K) class.\n",
      "\tTo explicitly set the positive_class, either rename classes to 1 and 0, or specify positive_class in Predictor init.\n",
      "Using Feature Generators to preprocess the data ...\n",
      "Fitting AutoMLPipelineFeatureGenerator...\n",
      "\tAvailable Memory:                    5785.43 MB\n",
      "\tTrain Data (Original)  Memory Usage: 0.06 MB (0.0% of available memory)\n",
      "\tInferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.\n",
      "\tStage 1 Generators:\n",
      "\t\tFitting AsTypeFeatureGenerator...\n",
      "\t\t\tNote: Converting 1 features to boolean dtype as they only contain 2 unique values.\n",
      "\tStage 2 Generators:\n",
      "\t\tFitting FillNaFeatureGenerator...\n",
      "\tStage 3 Generators:\n",
      "\t\tFitting IdentityFeatureGenerator...\n",
      "\t\tFitting CategoryFeatureGenerator...\n",
      "\t\t\tFitting CategoryMemoryMinimizeFeatureGenerator...\n",
      "\tStage 4 Generators:\n",
      "\t\tFitting DropUniqueFeatureGenerator...\n",
      "\tTypes of features in original data (raw dtype, special dtypes):\n",
      "\t\t('int', [])    : 6 | ['age', 'fnlwgt', 'education-num', 'capital-gain', 'capital-loss', ...]\n",
      "\t\t('object', []) : 8 | ['workclass', 'education', 'marital-status', 'occupation', 'relationship', ...]\n",
      "\tTypes of features in processed data (raw dtype, special dtypes):\n",
      "\t\t('category', [])  : 7 | ['workclass', 'education', 'marital-status', 'occupation', 'relationship', ...]\n",
      "\t\t('int', [])       : 6 | ['age', 'fnlwgt', 'education-num', 'capital-gain', 'capital-loss', ...]\n",
      "\t\t('int', ['bool']) : 1 | ['sex']\n",
      "\t0.0s = Fit runtime\n",
      "\t14 features in original data used to generate 14 features in processed data.\n",
      "\tTrain Data (Processed) Memory Usage: 0.01 MB (0.0% of available memory)\n",
      "Data preprocessing and feature engineering runtime = 0.04s ...\n",
      "AutoGluon will gauge predictive performance using evaluation metric: 'accuracy'\n",
      "\tTo change this, specify the eval_metric parameter of Predictor()\n",
      "Automatically generating train/validation split with holdout_frac=0.2, Train Rows: 80, Val Rows: 20\n",
      "Custom Model Type Detected: <class 'autogluon.tabular.models.imodels.imodels_models.RuleFitModel'>\n",
      "Custom Model Type Detected: <class 'autogluon.tabular.models.imodels.imodels_models.GreedyTreeModel'>\n",
      "Fitting 2 L1 models ...\n",
      "Hyperparameter tuning model: RuleFit ... Tuning model for up to 26.98s of the 59.95s of remaining time.\n",
      "\tStopping HPO to satisfy time limit...\n",
      "Fitted model: RuleFit/T1 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.45s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: RuleFit/T2 ...\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t1.95s\t = Training   runtime\n",
      "\t0.01s\t = Validation runtime\n",
      "Fitted model: RuleFit/T3 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.43s\t = Training   runtime\n",
      "\t0.01s\t = Validation runtime\n",
      "Fitted model: RuleFit/T4 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.77s\t = Training   runtime\n",
      "\t0.01s\t = Validation runtime\n",
      "Fitted model: RuleFit/T5 ...\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t1.43s\t = Training   runtime\n",
      "\t0.01s\t = Validation runtime\n",
      "Fitted model: RuleFit/T6 ...\n",
      "\t0.85\t = Validation score   (accuracy)\n",
      "\t2.28s\t = Training   runtime\n",
      "\t0.01s\t = Validation runtime\n",
      "Fitted model: RuleFit/T7 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.89s\t = Training   runtime\n",
      "\t0.01s\t = Validation runtime\n",
      "Fitted model: RuleFit/T8 ...\n",
      "\t0.85\t = Validation score   (accuracy)\n",
      "\t1.23s\t = Training   runtime\n",
      "\t0.01s\t = Validation runtime\n",
      "Fitted model: RuleFit/T9 ...\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t2.52s\t = Training   runtime\n",
      "\t0.01s\t = Validation runtime\n",
      "Fitted model: RuleFit/T10 ...\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.59s\t = Training   runtime\n",
      "\t0.01s\t = Validation runtime\n",
      "Fitted model: RuleFit/T11 ...\n",
      "\t0.85\t = Validation score   (accuracy)\n",
      "\t1.2s\t = Training   runtime\n",
      "\t0.01s\t = Validation runtime\n",
      "Fitted model: RuleFit/T12 ...\n",
      "\t0.85\t = Validation score   (accuracy)\n",
      "\t1.88s\t = Training   runtime\n",
      "\t0.01s\t = Validation runtime\n",
      "Fitted model: RuleFit/T13 ...\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t2.12s\t = Training   runtime\n",
      "\t0.01s\t = Validation runtime\n",
      "Fitted model: RuleFit/T14 ...\n",
      "\t0.85\t = Validation score   (accuracy)\n",
      "\t2.58s\t = Training   runtime\n",
      "\t0.01s\t = Validation runtime\n",
      "Fitted model: RuleFit/T15 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t1.38s\t = Training   runtime\n",
      "\t0.01s\t = Validation runtime\n",
      "Fitted model: RuleFit/T16 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t2.31s\t = Training   runtime\n",
      "\t0.01s\t = Validation runtime\n",
      "Fitted model: RuleFit/T17 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t1.92s\t = Training   runtime\n",
      "\t0.01s\t = Validation runtime\n",
      "Hyperparameter tuning model: GreedyTree ... Tuning model for up to 26.98s of the 33.8s of remaining time.\n",
      "Fitted model: GreedyTree/T1 ...\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T2 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T3 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T4 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T5 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T6 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T7 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T8 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T9 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T10 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T11 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T12 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T13 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T14 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T15 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.05s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T16 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T17 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T18 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T19 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T20 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T21 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T22 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T23 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T24 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T25 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T26 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T27 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T28 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T29 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T30 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T31 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T32 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T33 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T34 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T35 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T36 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T37 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T38 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T39 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T40 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T41 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T42 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T43 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T44 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T45 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T46 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T47 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T48 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T49 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T50 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T51 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T52 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T53 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T54 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T55 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T56 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T57 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T58 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T59 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T60 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T61 ...\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T62 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T63 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T64 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T65 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T66 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T67 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T68 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T69 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T70 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T71 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T72 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T73 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T74 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T75 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T76 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T77 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T78 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T79 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T80 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T81 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T82 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T83 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T84 ...\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T85 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T86 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T87 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T88 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T89 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T90 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T91 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T92 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T93 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T94 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T95 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T96 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T97 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T98 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T99 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T100 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T101 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T102 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T103 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T104 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T105 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T106 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T107 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T108 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T109 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T110 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T111 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T112 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T113 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T114 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T115 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T116 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T117 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T118 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T119 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T120 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T121 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T122 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T123 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T124 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T125 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T126 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T127 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T128 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T129 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T130 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T131 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T132 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T133 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T134 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T135 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T136 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T137 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T138 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T139 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T140 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T141 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T142 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T143 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T144 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T145 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T146 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T147 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T148 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T149 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T150 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T151 ...\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T152 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T153 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T154 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T155 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T156 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T157 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T158 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T159 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T160 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T161 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T162 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T163 ...\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T164 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T165 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T166 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T167 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T168 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T169 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T170 ...\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T171 ...\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T172 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T173 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T174 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T175 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T176 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T177 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T178 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T179 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T180 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T181 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T182 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T183 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T184 ...\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T185 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T186 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T187 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T188 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T189 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T190 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T191 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T192 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T193 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T194 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T195 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T196 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T197 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T198 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T199 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T200 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T201 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T202 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T203 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T204 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T205 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T206 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T207 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T208 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T209 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T210 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T211 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T212 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T213 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T214 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T215 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T216 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T217 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T218 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T219 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T220 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T221 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T222 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T223 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T224 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T225 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T226 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T227 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T228 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T229 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T230 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T231 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T232 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T233 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T234 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T235 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T236 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T237 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T238 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T239 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T240 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T241 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T242 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T243 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T244 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T245 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T246 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T247 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T248 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T249 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T250 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T251 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T252 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T253 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T254 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T255 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T256 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T257 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T258 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T259 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T260 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T261 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T262 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T263 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T264 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T265 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T266 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T267 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T268 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T269 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T270 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T271 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T272 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T273 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T274 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T275 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T276 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T277 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T278 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T279 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T280 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T281 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T282 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T283 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T284 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T285 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T286 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T287 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T288 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T289 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T290 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T291 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T292 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T293 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T294 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T295 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T296 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T297 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T298 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T299 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T300 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T301 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T302 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T303 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T304 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T305 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T306 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T307 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T308 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T309 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T310 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T311 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T312 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T313 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T314 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T315 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T316 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T317 ...\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T318 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T319 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T320 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T321 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T322 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T323 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T324 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T325 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T326 ...\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T327 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T328 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T329 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T330 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T331 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T332 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T333 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T334 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T335 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T336 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T337 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T338 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T339 ...\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T340 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T341 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T342 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T343 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T344 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T345 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T346 ...\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T347 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T348 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T349 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T350 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T351 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T352 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T353 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T354 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T355 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T356 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T357 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T358 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T359 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T360 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T361 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T362 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T363 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T364 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T365 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T366 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T367 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T368 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T369 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T370 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T371 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T372 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T373 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T374 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T375 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T376 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T377 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T378 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T379 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T380 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T381 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T382 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T383 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T384 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T385 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T386 ...\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T387 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T388 ...\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T389 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T390 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T391 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T392 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T393 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T394 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T395 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T396 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T397 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T398 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T399 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T400 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T401 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T402 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T403 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T404 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T405 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T406 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T407 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T408 ...\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T409 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T410 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T411 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T412 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T413 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T414 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T415 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T416 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T417 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T418 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T419 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T420 ...\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T421 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T422 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T423 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T424 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T425 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T426 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T427 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T428 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T429 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T430 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T431 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T432 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T433 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T434 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T435 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T436 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T437 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T438 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T439 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T440 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T441 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T442 ...\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T443 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T444 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T445 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T446 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T447 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T448 ...\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T449 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T450 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T451 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T452 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T453 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T454 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T455 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T456 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T457 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T458 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T459 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T460 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T461 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T462 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T463 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T464 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T465 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T466 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T467 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T468 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T469 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T470 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T471 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.05s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T472 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T473 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T474 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T475 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T476 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T477 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T478 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T479 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T480 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T481 ...\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T482 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T483 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T484 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T485 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T486 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T487 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T488 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T489 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T490 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T491 ...\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T492 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T493 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T494 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T495 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T496 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T497 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T498 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T499 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T500 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T501 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T502 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T503 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T504 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T505 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T506 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T507 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T508 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T509 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T510 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T511 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T512 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T513 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T514 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T515 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T516 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T517 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T518 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T519 ...\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T520 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T521 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T522 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T523 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T524 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T525 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T526 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T527 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T528 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T529 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T530 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T531 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T532 ...\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T533 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T534 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T535 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T536 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T537 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T538 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T539 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T540 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T541 ...\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T542 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T543 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T544 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T545 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T546 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T547 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T548 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T549 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T550 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T551 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T552 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T553 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T554 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T555 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T556 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T557 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T558 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T559 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T560 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T561 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T562 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T563 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T564 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T565 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T566 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T567 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T568 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T569 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T570 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T571 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T572 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T573 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T574 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T575 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T576 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T577 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T578 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T579 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T580 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T581 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T582 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T583 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T584 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T585 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T586 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T587 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T588 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T589 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T590 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T591 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T592 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T593 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T594 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T595 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T596 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T597 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T598 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T599 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T600 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T601 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T602 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T603 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T604 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T605 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T606 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T607 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T608 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T609 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T610 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T611 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T612 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T613 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T614 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T615 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T616 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T617 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T618 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T619 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T620 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T621 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T622 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T623 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T624 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T625 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T626 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T627 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T628 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T629 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T630 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T631 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T632 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T633 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T634 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T635 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T636 ...\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T637 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T638 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T639 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T640 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T641 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T642 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T643 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T644 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T645 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T646 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T647 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T648 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T649 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T650 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T651 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T652 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T653 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T654 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T655 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T656 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T657 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T658 ...\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T659 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T660 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T661 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T662 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T663 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T664 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T665 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T666 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T667 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T668 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T669 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T670 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T671 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T672 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T673 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T674 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T675 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T676 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T677 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T678 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T679 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T680 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T681 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T682 ...\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T683 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T684 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T685 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T686 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T687 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T688 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T689 ...\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T690 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T691 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T692 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T693 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T694 ...\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T695 ...\n",
      "\t0.8\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T696 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T697 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T698 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T699 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T700 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T701 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T702 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T703 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T704 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T705 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T706 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T707 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T708 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T709 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T710 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T711 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T712 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T713 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T714 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T715 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T716 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T717 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T718 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T719 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T720 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T721 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T722 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T723 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T724 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T725 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T726 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T727 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T728 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T729 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T730 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T731 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T732 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T733 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T734 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T735 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T736 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T737 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T738 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T739 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T740 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T741 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T742 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T743 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T744 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T745 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T746 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T747 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T748 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T749 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "Fitted model: GreedyTree/T750 ...\n",
      "\t0.75\t = Validation score   (accuracy)\n",
      "\t0.01s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "IOPub message rate exceeded.\n",
      "The notebook server will temporarily stop sending output\n",
      "to the client in order to avoid crashing it.\n",
      "To change this limit, set the config variable\n",
      "`--NotebookApp.iopub_msg_rate_limit`.\n",
      "\n",
      "Current values:\n",
      "NotebookApp.iopub_msg_rate_limit=1000.0 (msgs/sec)\n",
      "NotebookApp.rate_limit_window=3.0 (secs)\n",
      "\n",
      "Fitting model: WeightedEnsemble_L2 ... Training model for up to 59.96s of the 18.53s of remaining time.\n",
      "\t0.85\t = Validation score   (accuracy)\n",
      "\t0.08s\t = Training   runtime\n",
      "\t0.0s\t = Validation runtime\n",
      "AutoGluon training complete, total runtime = 41.62s ... Best model: \"WeightedEnsemble_L2\"\n",
      "TabularPredictor saved. To load, use: predictor = TabularPredictor.load(\"AutogluonModels/ag-20220615_043726/\")\n"
     ]
    }
   ],
   "source": [
    "from autogluon.core.space import Categorical, Int, Real\n",
    "from autogluon.tabular.configs.hyperparameter_configs import get_hyperparameter_config\n",
    "\n",
    "custom_hyperparameters_hpo = {\n",
    "    RuleFitModel: {\n",
    "        'tree_size': Int(lower=5, upper=30),\n",
    "        'max_rules': Int(lower=2, upper=15),\n",
    "    },\n",
    "    GreedyTreeModel: {\n",
    "        'max_leaf_nodes': Int(lower=2, upper=30),\n",
    "        'ccp_alpha': Real(lower=0, upper=5),\n",
    "    }\n",
    "}\n",
    "# Hyperparameter tune CustomRandomForestModel for 20 seconds\n",
    "predictor = TabularPredictor(label=label).fit(train_data,\n",
    "                                              hyperparameters=custom_hyperparameters_hpo,\n",
    "                                              hyperparameter_tune_kwargs='auto',  # enables HPO\n",
    "                                              time_limit=60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": "                    model  score_val  pred_time_val  fit_time  \\\n0              RuleFit/T6       0.85       0.006622  2.284658   \n1             RuleFit/T14       0.85       0.008445  2.581730   \n2     WeightedEnsemble_L2       0.85       0.008587  2.658018   \n3             RuleFit/T11       0.85       0.009215  1.202768   \n4              RuleFit/T8       0.85       0.009940  1.229393   \n...                   ...        ...            ...       ...   \n1013          RuleFit/T16       0.75       0.012026  2.310800   \n1014          RuleFit/T15       0.75       0.014247  1.383605   \n1015       GreedyTree/T15       0.75       0.045067  0.006014   \n1016      GreedyTree/T927       0.75       0.045622  0.005384   \n1017      GreedyTree/T471       0.75       0.047443  0.005858   \n\n      pred_time_val_marginal  fit_time_marginal  stack_level  can_infer  \\\n0                   0.006622           2.284658            1       True   \n1                   0.008445           2.581730            1       True   \n2                   0.000142           0.076288            2       True   \n3                   0.009215           1.202768            1       True   \n4                   0.009940           1.229393            1       True   \n...                      ...                ...          ...        ...   \n1013                0.012026           2.310800            1       True   \n1014                0.014247           1.383605            1       True   \n1015                0.045067           0.006014            1       True   \n1016                0.045622           0.005384            1       True   \n1017                0.047443           0.005858            1       True   \n\n      fit_order  \n0             6  \n1            14  \n2          1018  \n3            11  \n4             8  \n...         ...  \n1013         16  \n1014         15  \n1015         32  \n1016        944  \n1017        488  \n\n[1018 rows x 9 columns]",
      "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>model</th>\n      <th>score_val</th>\n      <th>pred_time_val</th>\n      <th>fit_time</th>\n      <th>pred_time_val_marginal</th>\n      <th>fit_time_marginal</th>\n      <th>stack_level</th>\n      <th>can_infer</th>\n      <th>fit_order</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>RuleFit/T6</td>\n      <td>0.85</td>\n      <td>0.006622</td>\n      <td>2.284658</td>\n      <td>0.006622</td>\n      <td>2.284658</td>\n      <td>1</td>\n      <td>True</td>\n      <td>6</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>RuleFit/T14</td>\n      <td>0.85</td>\n      <td>0.008445</td>\n      <td>2.581730</td>\n      <td>0.008445</td>\n      <td>2.581730</td>\n      <td>1</td>\n      <td>True</td>\n      <td>14</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>WeightedEnsemble_L2</td>\n      <td>0.85</td>\n      <td>0.008587</td>\n      <td>2.658018</td>\n      <td>0.000142</td>\n      <td>0.076288</td>\n      <td>2</td>\n      <td>True</td>\n      <td>1018</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>RuleFit/T11</td>\n      <td>0.85</td>\n      <td>0.009215</td>\n      <td>1.202768</td>\n      <td>0.009215</td>\n      <td>1.202768</td>\n      <td>1</td>\n      <td>True</td>\n      <td>11</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>RuleFit/T8</td>\n      <td>0.85</td>\n      <td>0.009940</td>\n      <td>1.229393</td>\n      <td>0.009940</td>\n      <td>1.229393</td>\n      <td>1</td>\n      <td>True</td>\n      <td>8</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    </tr>\n    <tr>\n      <th>1013</th>\n      <td>RuleFit/T16</td>\n      <td>0.75</td>\n      <td>0.012026</td>\n      <td>2.310800</td>\n      <td>0.012026</td>\n      <td>2.310800</td>\n      <td>1</td>\n      <td>True</td>\n      <td>16</td>\n    </tr>\n    <tr>\n      <th>1014</th>\n      <td>RuleFit/T15</td>\n      <td>0.75</td>\n      <td>0.014247</td>\n      <td>1.383605</td>\n      <td>0.014247</td>\n      <td>1.383605</td>\n      <td>1</td>\n      <td>True</td>\n      <td>15</td>\n    </tr>\n    <tr>\n      <th>1015</th>\n      <td>GreedyTree/T15</td>\n      <td>0.75</td>\n      <td>0.045067</td>\n      <td>0.006014</td>\n      <td>0.045067</td>\n      <td>0.006014</td>\n      <td>1</td>\n      <td>True</td>\n      <td>32</td>\n    </tr>\n    <tr>\n      <th>1016</th>\n      <td>GreedyTree/T927</td>\n      <td>0.75</td>\n      <td>0.045622</td>\n      <td>0.005384</td>\n      <td>0.045622</td>\n      <td>0.005384</td>\n      <td>1</td>\n      <td>True</td>\n      <td>944</td>\n    </tr>\n    <tr>\n      <th>1017</th>\n      <td>GreedyTree/T471</td>\n      <td>0.75</td>\n      <td>0.047443</td>\n      <td>0.005858</td>\n      <td>0.047443</td>\n      <td>0.005858</td>\n      <td>1</td>\n      <td>True</td>\n      <td>488</td>\n    </tr>\n  </tbody>\n</table>\n<p>1018 rows × 9 columns</p>\n</div>"
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "leaderboard = predictor.leaderboard(silent=True)\n",
    "leaderboard"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "# test individual model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\tWarning: Exception caused LightGBMXT to fail during training (ImportError)... Skipping this model.\n",
      "\t\t`import lightgbm` failed. A quick tip is to install via `pip install autogluon.tabular[lightgbm]==0.4.3b20220614`.\n",
      "\tWarning: Exception caused LightGBM to fail during training (ImportError)... Skipping this model.\n",
      "\t\t`import lightgbm` failed. A quick tip is to install via `pip install autogluon.tabular[lightgbm]==0.4.3b20220614`.\n",
      "\tWarning: Exception caused CatBoost to fail during training (ImportError)... Skipping this model.\n",
      "\t\t`import catboost` failed. A quick tip is to install via `pip install autogluon.tabular[catboost]==0.4.3b20220614`.\n",
      "\tWarning: Exception caused NeuralNetFastAI to fail during training (ImportError)... Skipping this model.\n",
      "\t\tImport fastai failed. A quick tip is to install via `pip install autogluon.tabular[fastai]==0.4.3b20220614`. \n",
      "\tWarning: Exception caused XGBoost to fail during training (ImportError)... Skipping this model.\n",
      "\t\t`import xgboost` failed. A quick tip is to install via `pip install autogluon.tabular[xgboost]==0.4.3b20220614`.\n",
      "\tWarning: Exception caused LightGBMLarge to fail during training (ImportError)... Skipping this model.\n",
      "\t\t`import lightgbm` failed. A quick tip is to install via `pip install autogluon.tabular[lightgbm]==0.4.3b20220614`.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Predictions:  \n",
      " 0        <=50K\n",
      "1        <=50K\n",
      "2        <=50K\n",
      "3        <=50K\n",
      "4        <=50K\n",
      "         ...  \n",
      "9764     <=50K\n",
      "9765     <=50K\n",
      "9766      >50K\n",
      "9767     <=50K\n",
      "9768     <=50K\n",
      "Name: class, Length: 9769, dtype: object\n"
     ]
    },
    {
     "data": {
      "text/plain": "                 model  score_test  score_val  pred_time_test  pred_time_val  \\\n0       ExtraTreesEntr    0.793326       0.75        0.054512       0.015353   \n1       ExtraTreesGini    0.791074       0.75        0.057022       0.014039   \n2     RandomForestEntr    0.787593       0.70        0.058771       0.014363   \n3     RandomForestGini    0.786263       0.70        0.052549       0.014914   \n4       NeuralNetTorch    0.771829       0.90        0.082442       0.005265   \n5  WeightedEnsemble_L2    0.771829       0.90        0.084127       0.005404   \n6       KNeighborsUnif    0.728324       0.70        0.004537       0.015404   \n7       KNeighborsDist    0.655236       0.65        0.005447       0.002361   \n\n   fit_time  pred_time_test_marginal  pred_time_val_marginal  \\\n0  0.185150                 0.054512                0.015353   \n1  0.186103                 0.057022                0.014039   \n2  0.187588                 0.058771                0.014363   \n3  0.195857                 0.052549                0.014914   \n4  0.836254                 0.082442                0.005265   \n5  0.884185                 0.001685                0.000139   \n6  0.004215                 0.004537                0.015404   \n7  0.002234                 0.005447                0.002361   \n\n   fit_time_marginal  stack_level  can_infer  fit_order  \n0           0.185150            1       True          6  \n1           0.186103            1       True          5  \n2           0.187588            1       True          4  \n3           0.195857            1       True          3  \n4           0.836254            1       True          7  \n5           0.047931            2       True          8  \n6           0.004215            1       True          1  \n7           0.002234            1       True          2  ",
      "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>model</th>\n      <th>score_test</th>\n      <th>score_val</th>\n      <th>pred_time_test</th>\n      <th>pred_time_val</th>\n      <th>fit_time</th>\n      <th>pred_time_test_marginal</th>\n      <th>pred_time_val_marginal</th>\n      <th>fit_time_marginal</th>\n      <th>stack_level</th>\n      <th>can_infer</th>\n      <th>fit_order</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>ExtraTreesEntr</td>\n      <td>0.793326</td>\n      <td>0.75</td>\n      <td>0.054512</td>\n      <td>0.015353</td>\n      <td>0.185150</td>\n      <td>0.054512</td>\n      <td>0.015353</td>\n      <td>0.185150</td>\n      <td>1</td>\n      <td>True</td>\n      <td>6</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>ExtraTreesGini</td>\n      <td>0.791074</td>\n      <td>0.75</td>\n      <td>0.057022</td>\n      <td>0.014039</td>\n      <td>0.186103</td>\n      <td>0.057022</td>\n      <td>0.014039</td>\n      <td>0.186103</td>\n      <td>1</td>\n      <td>True</td>\n      <td>5</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>RandomForestEntr</td>\n      <td>0.787593</td>\n      <td>0.70</td>\n      <td>0.058771</td>\n      <td>0.014363</td>\n      <td>0.187588</td>\n      <td>0.058771</td>\n      <td>0.014363</td>\n      <td>0.187588</td>\n      <td>1</td>\n      <td>True</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>RandomForestGini</td>\n      <td>0.786263</td>\n      <td>0.70</td>\n      <td>0.052549</td>\n      <td>0.014914</td>\n      <td>0.195857</td>\n      <td>0.052549</td>\n      <td>0.014914</td>\n      <td>0.195857</td>\n      <td>1</td>\n      <td>True</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>NeuralNetTorch</td>\n      <td>0.771829</td>\n      <td>0.90</td>\n      <td>0.082442</td>\n      <td>0.005265</td>\n      <td>0.836254</td>\n      <td>0.082442</td>\n      <td>0.005265</td>\n      <td>0.836254</td>\n      <td>1</td>\n      <td>True</td>\n      <td>7</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>WeightedEnsemble_L2</td>\n      <td>0.771829</td>\n      <td>0.90</td>\n      <td>0.084127</td>\n      <td>0.005404</td>\n      <td>0.884185</td>\n      <td>0.001685</td>\n      <td>0.000139</td>\n      <td>0.047931</td>\n      <td>2</td>\n      <td>True</td>\n      <td>8</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>KNeighborsUnif</td>\n      <td>0.728324</td>\n      <td>0.70</td>\n      <td>0.004537</td>\n      <td>0.015404</td>\n      <td>0.004215</td>\n      <td>0.004537</td>\n      <td>0.015404</td>\n      <td>0.004215</td>\n      <td>1</td>\n      <td>True</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>KNeighborsDist</td>\n      <td>0.655236</td>\n      <td>0.65</td>\n      <td>0.005447</td>\n      <td>0.002361</td>\n      <td>0.002234</td>\n      <td>0.005447</td>\n      <td>0.002361</td>\n      <td>0.002234</td>\n      <td>1</td>\n      <td>True</td>\n      <td>2</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Separate features and labels\n",
    "X = train_data.drop(columns=[label])\n",
    "y = train_data[label]\n",
    "X_test = test_data.drop(columns=[label])\n",
    "y_test = test_data[label]\n",
    "\n",
    "# basic model fitting\n",
    "save_path = 'AutogluonModels'  # specifies folder to store trained models\n",
    "predictor = TabularPredictor(label=label, path=save_path, verbosity=0).fit(train_data)\n",
    "\n",
    "# basic model evaluation\n",
    "predictor = TabularPredictor.load(save_path)  # unnecessary, just demonstrates how to load previously-trained predictor from file\n",
    "y_pred = predictor.predict(test_data_nolab)\n",
    "print(\"Predictions:  \\n\", y_pred)\n",
    "perf = predictor.evaluate_predictions(y_true=y_test, y_pred=y_pred, auxiliary_metrics=True)\n",
    "\n",
    "predictor.leaderboard(test_data, silent=True)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  }
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