feature_selection.ipynb

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  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
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   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
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       " '.strtab_flags',\n",
       " '.shstrtab_alignment',\n",
       " '.shstrtab_info',\n",
       " '.shstrtab_table_index_link',\n",
       " '.strtab_type',\n",
       " '.got.plt_info',\n",
       " '.symtab_type',\n",
       " '.strtab_entsize',\n",
       " '.strtab_alignment',\n",
       " '.strtab_info',\n",
       " '.strtab_table_index_link',\n",
       " 'rodata1_size']"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "attr_list = []\n",
    "with open('feature_selection/weka_features_toremove.txt', 'r') as f:\n",
    "    for l in f:\n",
    "        attr_list.append(l[27:].strip())\n",
    "attr_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_train = pd.read_csv('./results_final.csv')\n",
    "# df_test = pd.read_csv('./dataset/test.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2, 342)\n"
     ]
    }
   ],
   "source": [
    "print df_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_train.drop(attr_list, axis=1, inplace=True)\n",
    "# df_test.drop(attr_list, axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2, 148)\n"
     ]
    }
   ],
   "source": [
    "print df_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_train.to_csv('testing.csv', index=False)\n",
    "# df_test.to_csv('test_final.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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