basic_ml_methods.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-05T09:59:36.063287Z",
     "start_time": "2019-11-05T09:59:35.285469Z"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np \n",
    "import pandas as pd\n",
    "\n",
    "df=pd.read_csv('X_short.csv',index_col=0) # load the dataset\n",
    "y=pd.read_csv('y_short.csv',index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-05T10:23:19.532825Z",
     "start_time": "2019-11-05T10:23:19.469725Z"
    }
   },
   "outputs": [],
   "source": [
    "#xgboost for feature importance\n",
    "import xgboost as xgb\n",
    "from sklearn.metrics import accuracy_score\n",
    "\n",
    "def get_feature_importance_data(df):\n",
    "    X = df\n",
    "    \n",
    "    train_samples = int(X.shape[0] * 0.7)\n",
    " \n",
    "    X_train = X.iloc[:train_samples]\n",
    "    X_test = X.iloc[train_samples:]\n",
    "\n",
    "    y_train = y.iloc[:train_samples]\n",
    "    y_test = y.iloc[train_samples:]\n",
    "    \n",
    "    return (X_train, y_train), (X_test, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-05T10:23:20.950654Z",
     "start_time": "2019-11-05T10:23:20.946215Z"
    }
   },
   "outputs": [],
   "source": [
    "(X_train_FI, y_train_FI), (X_test_FI, y_test_FI) = get_feature_importance_data(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-05T10:23:22.097642Z",
     "start_time": "2019-11-05T10:23:22.094092Z"
    }
   },
   "outputs": [],
   "source": [
    "regressor = xgb.XGBRegressor(gamma=0.0,n_estimators=150,base_score=0.7,colsample_bytree=1,learning_rate=0.05)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-05T10:23:27.518479Z",
     "start_time": "2019-11-05T10:23:23.745399Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[12:23:23] WARNING: src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror.\n",
      "[0]\tvalidation_0-rmse:0.430144\tvalidation_1-rmse:0.429172\n",
      "[1]\tvalidation_0-rmse:0.419022\tvalidation_1-rmse:0.418232\n",
      "[2]\tvalidation_0-rmse:0.408717\tvalidation_1-rmse:0.408099\n",
      "[3]\tvalidation_0-rmse:0.399194\tvalidation_1-rmse:0.398653\n",
      "[4]\tvalidation_0-rmse:0.390277\tvalidation_1-rmse:0.389955\n",
      "[5]\tvalidation_0-rmse:0.381875\tvalidation_1-rmse:0.381781\n",
      "[6]\tvalidation_0-rmse:0.374234\tvalidation_1-rmse:0.374273\n",
      "[7]\tvalidation_0-rmse:0.367072\tvalidation_1-rmse:0.367246\n",
      "[8]\tvalidation_0-rmse:0.360442\tvalidation_1-rmse:0.360844\n",
      "[9]\tvalidation_0-rmse:0.354359\tvalidation_1-rmse:0.354908\n",
      "[10]\tvalidation_0-rmse:0.348663\tvalidation_1-rmse:0.349392\n",
      "[11]\tvalidation_0-rmse:0.343458\tvalidation_1-rmse:0.344373\n",
      "[12]\tvalidation_0-rmse:0.338628\tvalidation_1-rmse:0.339734\n",
      "[13]\tvalidation_0-rmse:0.334238\tvalidation_1-rmse:0.335514\n",
      "[14]\tvalidation_0-rmse:0.329979\tvalidation_1-rmse:0.331377\n",
      "[15]\tvalidation_0-rmse:0.326183\tvalidation_1-rmse:0.327792\n",
      "[16]\tvalidation_0-rmse:0.322546\tvalidation_1-rmse:0.324327\n",
      "[17]\tvalidation_0-rmse:0.319293\tvalidation_1-rmse:0.321232\n",
      "[18]\tvalidation_0-rmse:0.31619\tvalidation_1-rmse:0.318169\n",
      "[19]\tvalidation_0-rmse:0.313373\tvalidation_1-rmse:0.315599\n",
      "[20]\tvalidation_0-rmse:0.310705\tvalidation_1-rmse:0.312984\n",
      "[21]\tvalidation_0-rmse:0.308094\tvalidation_1-rmse:0.310547\n",
      "[22]\tvalidation_0-rmse:0.305605\tvalidation_1-rmse:0.308194\n",
      "[23]\tvalidation_0-rmse:0.303471\tvalidation_1-rmse:0.306277\n",
      "[24]\tvalidation_0-rmse:0.301316\tvalidation_1-rmse:0.304249\n",
      "[25]\tvalidation_0-rmse:0.299264\tvalidation_1-rmse:0.302347\n",
      "[26]\tvalidation_0-rmse:0.297383\tvalidation_1-rmse:0.300567\n",
      "[27]\tvalidation_0-rmse:0.295537\tvalidation_1-rmse:0.298714\n",
      "[28]\tvalidation_0-rmse:0.294064\tvalidation_1-rmse:0.297358\n",
      "[29]\tvalidation_0-rmse:0.292561\tvalidation_1-rmse:0.296046\n",
      "[30]\tvalidation_0-rmse:0.29117\tvalidation_1-rmse:0.294688\n",
      "[31]\tvalidation_0-rmse:0.289787\tvalidation_1-rmse:0.293416\n",
      "[32]\tvalidation_0-rmse:0.288398\tvalidation_1-rmse:0.29202\n",
      "[33]\tvalidation_0-rmse:0.287266\tvalidation_1-rmse:0.290906\n",
      "[34]\tvalidation_0-rmse:0.286116\tvalidation_1-rmse:0.289784\n",
      "[35]\tvalidation_0-rmse:0.285109\tvalidation_1-rmse:0.28878\n",
      "[36]\tvalidation_0-rmse:0.284098\tvalidation_1-rmse:0.287819\n",
      "[37]\tvalidation_0-rmse:0.283239\tvalidation_1-rmse:0.287115\n",
      "[38]\tvalidation_0-rmse:0.282258\tvalidation_1-rmse:0.286258\n",
      "[39]\tvalidation_0-rmse:0.281467\tvalidation_1-rmse:0.285485\n",
      "[40]\tvalidation_0-rmse:0.28067\tvalidation_1-rmse:0.284642\n",
      "[41]\tvalidation_0-rmse:0.279846\tvalidation_1-rmse:0.283766\n",
      "[42]\tvalidation_0-rmse:0.279161\tvalidation_1-rmse:0.283073\n",
      "[43]\tvalidation_0-rmse:0.278412\tvalidation_1-rmse:0.282409\n",
      "[44]\tvalidation_0-rmse:0.2777\tvalidation_1-rmse:0.281791\n",
      "[45]\tvalidation_0-rmse:0.277151\tvalidation_1-rmse:0.281186\n",
      "[46]\tvalidation_0-rmse:0.276558\tvalidation_1-rmse:0.280715\n",
      "[47]\tvalidation_0-rmse:0.27599\tvalidation_1-rmse:0.28023\n",
      "[48]\tvalidation_0-rmse:0.275515\tvalidation_1-rmse:0.27975\n",
      "[49]\tvalidation_0-rmse:0.275008\tvalidation_1-rmse:0.279345\n",
      "[50]\tvalidation_0-rmse:0.27457\tvalidation_1-rmse:0.278877\n",
      "[51]\tvalidation_0-rmse:0.274083\tvalidation_1-rmse:0.278406\n",
      "[52]\tvalidation_0-rmse:0.273622\tvalidation_1-rmse:0.277996\n",
      "[53]\tvalidation_0-rmse:0.273181\tvalidation_1-rmse:0.277588\n",
      "[54]\tvalidation_0-rmse:0.272813\tvalidation_1-rmse:0.277186\n",
      "[55]\tvalidation_0-rmse:0.272411\tvalidation_1-rmse:0.276824\n",
      "[56]\tvalidation_0-rmse:0.272004\tvalidation_1-rmse:0.276469\n",
      "[57]\tvalidation_0-rmse:0.271627\tvalidation_1-rmse:0.27613\n",
      "[58]\tvalidation_0-rmse:0.271352\tvalidation_1-rmse:0.275896\n",
      "[59]\tvalidation_0-rmse:0.270981\tvalidation_1-rmse:0.275553\n",
      "[60]\tvalidation_0-rmse:0.270748\tvalidation_1-rmse:0.275348\n",
      "[61]\tvalidation_0-rmse:0.27041\tvalidation_1-rmse:0.275023\n",
      "[62]\tvalidation_0-rmse:0.270168\tvalidation_1-rmse:0.274845\n",
      "[63]\tvalidation_0-rmse:0.269871\tvalidation_1-rmse:0.274581\n",
      "[64]\tvalidation_0-rmse:0.269623\tvalidation_1-rmse:0.274319\n",
      "[65]\tvalidation_0-rmse:0.269379\tvalidation_1-rmse:0.27413\n",
      "[66]\tvalidation_0-rmse:0.269073\tvalidation_1-rmse:0.27388\n",
      "[67]\tvalidation_0-rmse:0.268791\tvalidation_1-rmse:0.273627\n",
      "[68]\tvalidation_0-rmse:0.268385\tvalidation_1-rmse:0.273229\n",
      "[69]\tvalidation_0-rmse:0.268132\tvalidation_1-rmse:0.272996\n",
      "[70]\tvalidation_0-rmse:0.267963\tvalidation_1-rmse:0.272861\n",
      "[71]\tvalidation_0-rmse:0.267769\tvalidation_1-rmse:0.272651\n",
      "[72]\tvalidation_0-rmse:0.267519\tvalidation_1-rmse:0.272436\n",
      "[73]\tvalidation_0-rmse:0.267315\tvalidation_1-rmse:0.272225\n",
      "[74]\tvalidation_0-rmse:0.267104\tvalidation_1-rmse:0.272052\n",
      "[75]\tvalidation_0-rmse:0.266921\tvalidation_1-rmse:0.27186\n",
      "[76]\tvalidation_0-rmse:0.266672\tvalidation_1-rmse:0.271673\n",
      "[77]\tvalidation_0-rmse:0.266417\tvalidation_1-rmse:0.27148\n",
      "[78]\tvalidation_0-rmse:0.266222\tvalidation_1-rmse:0.271265\n",
      "[79]\tvalidation_0-rmse:0.266025\tvalidation_1-rmse:0.271113\n",
      "[80]\tvalidation_0-rmse:0.265778\tvalidation_1-rmse:0.270932\n",
      "[81]\tvalidation_0-rmse:0.26561\tvalidation_1-rmse:0.27077\n",
      "[82]\tvalidation_0-rmse:0.265442\tvalidation_1-rmse:0.270614\n",
      "[83]\tvalidation_0-rmse:0.265274\tvalidation_1-rmse:0.27047\n",
      "[84]\tvalidation_0-rmse:0.265119\tvalidation_1-rmse:0.270369\n",
      "[85]\tvalidation_0-rmse:0.264965\tvalidation_1-rmse:0.270238\n",
      "[86]\tvalidation_0-rmse:0.264804\tvalidation_1-rmse:0.270121\n",
      "[87]\tvalidation_0-rmse:0.264711\tvalidation_1-rmse:0.270047\n",
      "[88]\tvalidation_0-rmse:0.264531\tvalidation_1-rmse:0.269917\n",
      "[89]\tvalidation_0-rmse:0.264416\tvalidation_1-rmse:0.269785\n",
      "[90]\tvalidation_0-rmse:0.264301\tvalidation_1-rmse:0.269704\n",
      "[91]\tvalidation_0-rmse:0.264179\tvalidation_1-rmse:0.26958\n",
      "[92]\tvalidation_0-rmse:0.263906\tvalidation_1-rmse:0.269308\n",
      "[93]\tvalidation_0-rmse:0.26379\tvalidation_1-rmse:0.269194\n",
      "[94]\tvalidation_0-rmse:0.263666\tvalidation_1-rmse:0.26912\n",
      "[95]\tvalidation_0-rmse:0.263533\tvalidation_1-rmse:0.269002\n",
      "[96]\tvalidation_0-rmse:0.263416\tvalidation_1-rmse:0.268888\n",
      "[97]\tvalidation_0-rmse:0.263341\tvalidation_1-rmse:0.268849\n",
      "[98]\tvalidation_0-rmse:0.263242\tvalidation_1-rmse:0.268749\n",
      "[99]\tvalidation_0-rmse:0.263137\tvalidation_1-rmse:0.268672\n",
      "[100]\tvalidation_0-rmse:0.263069\tvalidation_1-rmse:0.268623\n",
      "[101]\tvalidation_0-rmse:0.262971\tvalidation_1-rmse:0.268555\n",
      "[102]\tvalidation_0-rmse:0.262852\tvalidation_1-rmse:0.268477\n",
      "[103]\tvalidation_0-rmse:0.262727\tvalidation_1-rmse:0.268354\n",
      "[104]\tvalidation_0-rmse:0.262629\tvalidation_1-rmse:0.268275\n",
      "[105]\tvalidation_0-rmse:0.262527\tvalidation_1-rmse:0.268191\n",
      "[106]\tvalidation_0-rmse:0.262436\tvalidation_1-rmse:0.268125\n",
      "[107]\tvalidation_0-rmse:0.262319\tvalidation_1-rmse:0.268047\n",
      "[108]\tvalidation_0-rmse:0.26221\tvalidation_1-rmse:0.267956\n",
      "[109]\tvalidation_0-rmse:0.262136\tvalidation_1-rmse:0.267869\n",
      "[110]\tvalidation_0-rmse:0.262053\tvalidation_1-rmse:0.267824\n",
      "[111]\tvalidation_0-rmse:0.261971\tvalidation_1-rmse:0.267783\n",
      "[112]\tvalidation_0-rmse:0.261898\tvalidation_1-rmse:0.267696\n",
      "[113]\tvalidation_0-rmse:0.261791\tvalidation_1-rmse:0.267592\n",
      "[114]\tvalidation_0-rmse:0.261745\tvalidation_1-rmse:0.267555\n",
      "[115]\tvalidation_0-rmse:0.261672\tvalidation_1-rmse:0.267504\n",
      "[116]\tvalidation_0-rmse:0.261588\tvalidation_1-rmse:0.267449\n",
      "[117]\tvalidation_0-rmse:0.261521\tvalidation_1-rmse:0.26741\n",
      "[118]\tvalidation_0-rmse:0.261425\tvalidation_1-rmse:0.267327\n",
      "[119]\tvalidation_0-rmse:0.261348\tvalidation_1-rmse:0.267254\n",
      "[120]\tvalidation_0-rmse:0.261279\tvalidation_1-rmse:0.267219\n",
      "[121]\tvalidation_0-rmse:0.261194\tvalidation_1-rmse:0.267142\n",
      "[122]\tvalidation_0-rmse:0.261154\tvalidation_1-rmse:0.26712\n",
      "[123]\tvalidation_0-rmse:0.261051\tvalidation_1-rmse:0.267019\n",
      "[124]\tvalidation_0-rmse:0.260984\tvalidation_1-rmse:0.266967\n",
      "[125]\tvalidation_0-rmse:0.260935\tvalidation_1-rmse:0.266936\n",
      "[126]\tvalidation_0-rmse:0.260882\tvalidation_1-rmse:0.266893\n",
      "[127]\tvalidation_0-rmse:0.260815\tvalidation_1-rmse:0.266874\n",
      "[128]\tvalidation_0-rmse:0.26074\tvalidation_1-rmse:0.266813\n",
      "[129]\tvalidation_0-rmse:0.260608\tvalidation_1-rmse:0.266726\n",
      "[130]\tvalidation_0-rmse:0.260563\tvalidation_1-rmse:0.266697\n",
      "[131]\tvalidation_0-rmse:0.260516\tvalidation_1-rmse:0.266661\n",
      "[132]\tvalidation_0-rmse:0.260424\tvalidation_1-rmse:0.266573\n",
      "[133]\tvalidation_0-rmse:0.260354\tvalidation_1-rmse:0.266534\n",
      "[134]\tvalidation_0-rmse:0.260287\tvalidation_1-rmse:0.266481\n",
      "[135]\tvalidation_0-rmse:0.260257\tvalidation_1-rmse:0.266469\n",
      "[136]\tvalidation_0-rmse:0.260173\tvalidation_1-rmse:0.266388\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[137]\tvalidation_0-rmse:0.260045\tvalidation_1-rmse:0.266267\n",
      "[138]\tvalidation_0-rmse:0.259987\tvalidation_1-rmse:0.266224\n",
      "[139]\tvalidation_0-rmse:0.259939\tvalidation_1-rmse:0.266161\n",
      "[140]\tvalidation_0-rmse:0.25988\tvalidation_1-rmse:0.266109\n",
      "[141]\tvalidation_0-rmse:0.259794\tvalidation_1-rmse:0.266033\n",
      "[142]\tvalidation_0-rmse:0.259741\tvalidation_1-rmse:0.266003\n",
      "[143]\tvalidation_0-rmse:0.259702\tvalidation_1-rmse:0.265984\n",
      "[144]\tvalidation_0-rmse:0.259659\tvalidation_1-rmse:0.265967\n",
      "[145]\tvalidation_0-rmse:0.259616\tvalidation_1-rmse:0.265936\n",
      "[146]\tvalidation_0-rmse:0.259578\tvalidation_1-rmse:0.265924\n",
      "[147]\tvalidation_0-rmse:0.259546\tvalidation_1-rmse:0.265909\n",
      "[148]\tvalidation_0-rmse:0.259512\tvalidation_1-rmse:0.265896\n",
      "[149]\tvalidation_0-rmse:0.259439\tvalidation_1-rmse:0.265855\n"
     ]
    }
   ],
   "source": [
    "xgbModel = regressor.fit(X_train_FI,y_train_FI, \\\n",
    "                         eval_set = [(X_train_FI, y_train_FI), (X_test_FI, y_test_FI)], \\\n",
    "                         verbose=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-05T10:23:29.715798Z",
     "start_time": "2019-11-05T10:23:29.711837Z"
    }
   },
   "outputs": [],
   "source": [
    "eval_result = regressor.evals_result()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-05T10:23:31.051202Z",
     "start_time": "2019-11-05T10:23:31.047618Z"
    }
   },
   "outputs": [],
   "source": [
    "training_rounds = range(len(eval_result['validation_0']['rmse']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-05T10:24:48.804733Z",
     "start_time": "2019-11-05T10:24:48.776409Z"
    }
   },
   "outputs": [],
   "source": [
    "y_pred = model.predict(X_test_FI)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-05T10:25:50.007603Z",
     "start_time": "2019-11-05T10:25:49.970878Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[2360  442]\n",
      " [ 664 7270]]\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.78      0.84      0.81      2802\n",
      "           1       0.94      0.92      0.93      7934\n",
      "\n",
      "    accuracy                           0.90     10736\n",
      "   macro avg       0.86      0.88      0.87     10736\n",
      "weighted avg       0.90      0.90      0.90     10736\n",
      "\n",
      "Accuracy: 0.8969821162444114\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import classification_report, confusion_matrix, accuracy_score\n",
    "from sklearn import metrics\n",
    "\n",
    "print(confusion_matrix(y_test_FI,y_pred)) \n",
    "print(classification_report(y_test_FI, y_pred))\n",
    "print(\"Accuracy:\",metrics.accuracy_score(y_test_FI, y_pred))\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-05T10:23:39.608862Z",
     "start_time": "2019-11-05T10:23:37.408888Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/anaconda3/lib/python3.6/site-packages/sklearn/preprocessing/label.py:219: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  y = column_or_1d(y, warn=True)\n",
      "/anaconda3/lib/python3.6/site-packages/sklearn/preprocessing/label.py:252: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  y = column_or_1d(y, warn=True)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.00956323 0.00601488 0.01060191 0.00404243 0.0044037  0.03778019\n",
      " 0.00568489 0.04097246 0.01874063 0.41865993 0.001226   0.00530008\n",
      " 0.00838345 0.09627191 0.11885331 0.         0.         0.01035747\n",
      " 0.0146794  0.02443262 0.0036181  0.         0.03164114 0.00976105\n",
      " 0.05624264 0.06276861]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot feature importance manually\n",
    "from numpy import loadtxt\n",
    "from xgboost import XGBClassifier\n",
    "import matplotlib.pyplot as plt \n",
    "\n",
    "# fit model no training data\n",
    "model = XGBClassifier()\n",
    "model.fit(X_train_FI, y_train_FI)\n",
    "# feature importance\n",
    "print(model.feature_importances_)\n",
    "# plot\n",
    "fig = plt.figure(figsize=(8,8))\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.bar([i for i in range(len(model.feature_importances_))], model.feature_importances_.tolist(), tick_label=X_test_FI.columns)\n",
    "plt.title('Figure : Feature importance of the technical indicators.')\n",
    "plt.show()\n",
    "\n",
    "\n",
    "# (X_train_FI, y_train_FI), (X_test_FI, y_test_FI)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-05T10:23:45.441020Z",
     "start_time": "2019-11-05T10:23:45.149094Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.ticker as ticker\n",
    "\n",
    "feature_importances = model.feature_importances_.reshape(len(model.feature_importances_),1)\n",
    "\n",
    "fig = plt.figure(figsize=(10,10))\n",
    "ax = fig.add_subplot(1, 1, 1)\n",
    "ax.matshow(feature_importances, cmap='viridis')\n",
    "\n",
    "fontdict = {'fontsize': 14}\n",
    "\n",
    "# ax.set_xticklabels(fontdict=fontdict)\n",
    "ax.set_yticklabels(X_test_FI.columns, fontdict=fontdict)\n",
    "\n",
    "ax.xaxis.set_major_locator(ticker.MultipleLocator(1))\n",
    "ax.yaxis.set_major_locator(ticker.MultipleLocator(1))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-05T09:59:56.335615Z",
     "start_time": "2019-11-05T09:59:54.917509Z"
    }
   },
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(df, y, test_size=.2, random_state=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-08-23T16:46:36.582903Z",
     "start_time": "2019-08-23T16:46:36.495489Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1351  530]\n",
      " [ 560 4716]]\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.71      0.72      0.71      1881\n",
      "           1       0.90      0.89      0.90      5276\n",
      "\n",
      "    accuracy                           0.85      7157\n",
      "   macro avg       0.80      0.81      0.80      7157\n",
      "weighted avg       0.85      0.85      0.85      7157\n",
      "\n",
      "Accuracy: 0.8477015509291602\n"
     ]
    }
   ],
   "source": [
    "#decision tree\n",
    "\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "from sklearn import metrics\n",
    "from sklearn.metrics import classification_report, confusion_matrix, accuracy_score\n",
    "\n",
    "# model = DecisionTreeClassifier()\n",
    "\n",
    "# params = {'max_features': ['auto', 'sqrt', 'log2'],\n",
    "#           'min_samples_split': [2,3,4,5,6,7,8,9,10,11,12,13,14,15], \n",
    "#           'min_samples_leaf':[1,2,3,4,5,6,7,8,9,10,11],\n",
    "#           'random_state':[123]}\n",
    "\n",
    "# model1 = GridSearchCV(model, param_grid=params, n_jobs=-1)\n",
    "\n",
    "# model1.fit(X_train, y_train)\n",
    "\n",
    "# print(\"Best Hyper Parameters:\",model1.best_params_)\n",
    "\n",
    "# y_pred = model1.predict(X_test)\n",
    "\n",
    "model = DecisionTreeClassifier(max_features= 'auto', min_samples_leaf= 5, min_samples_split= 15, random_state= 123)\n",
    "model.fit(X_train, y_train)\n",
    "y_pred = model.predict(X_test)\n",
    "\n",
    "print(confusion_matrix(y_test,y_pred)) \n",
    "print(classification_report(y_test, y_pred))\n",
    "print(\"Accuracy:\",metrics.accuracy_score(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-08-23T16:46:37.521896Z",
     "start_time": "2019-08-23T16:46:37.090705Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.ticker as ticker\n",
    "\n",
    "feature_importances = model.feature_importances_.reshape(len(model.feature_importances_),1)\n",
    "\n",
    "fig = plt.figure(figsize=(10,10))\n",
    "ax = fig.add_subplot(1, 1, 1)\n",
    "ax.matshow(feature_importances, cmap='viridis')\n",
    "\n",
    "fontdict = {'fontsize': 14}\n",
    "\n",
    "# ax.set_xticklabels(fontdict=fontdict)\n",
    "ax.set_yticklabels(X_test.columns, fontdict=fontdict)\n",
    "\n",
    "ax.xaxis.set_major_locator(ticker.MultipleLocator(1))\n",
    "ax.yaxis.set_major_locator(ticker.MultipleLocator(1))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-08-23T09:26:25.028189Z",
     "start_time": "2019-08-23T09:26:24.697875Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'tract_to_msamd_income': 0.015421009503705972, 'population': 0.01988833641225453, 'minority_population': 0.01926952241412765, 'number_of_owner_occupied_units': 0.018356321007581746, 'number_of_1_to_4_family_units': 0.019573040767357552, 'loan_amount_000s': 0.05868176516280118, 'hud_median_family_income': 0.01211527178922841, 'applicant_income_000s': 0.03423468082892225, 'sequence_number': 0.05957689079066895, 'purchaser_type_name': 0.5845314125610583, 'property_type_name': 0.0017201314916072171, 'preapproval_name': 0.012004379032291788, 'owner_occupancy_name': 0.001681821085071681, 'loan_type_name': 0.00886813861280809, 'loan_purpose_name': 0.028402119718067404, 'lien_status_name': 0.0014799774931093005, 'hoepa_status_name': 0.0, 'co_applicant_sex_name': 0.002436113114892727, 'co_applicant_race_name_1': 0.002499303257557526, 'co_applicant_ethnicity_name': 0.008876947402021433, 'census_tract_number': 0.019634924264698348, 'as_of_year': 0.0, 'applicant_sex_name': 0.007855039945160038, 'applicant_race_name_1': 0.003368764806773669, 'applicant_ethnicity_name': 0.010887572003059544, 'agency_name': 0.04863651653517434}\n"
     ]
    }
   ],
   "source": [
    "#feature importance\n",
    "\n",
    "import matplotlib.pyplot as plt \n",
    "\n",
    "fig = plt.figure(figsize=(8,8))\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.bar([i for i in range(len(model.feature_importances_))], model.feature_importances_.tolist(), tick_label=X_test.columns)\n",
    "plt.title('Figure : Feature importance of the technical indicators.')\n",
    "plt.show()\n",
    "\n",
    "print(dict(zip(X_train.columns, model.feature_importances_)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-08-23T09:26:34.627248Z",
     "start_time": "2019-08-23T09:26:25.173851Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/anaconda3/lib/python3.6/site-packages/sklearn/utils/validation.py:724: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  y = column_or_1d(y, warn=True)\n",
      "/anaconda3/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "/anaconda3/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "/anaconda3/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "/anaconda3/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "/anaconda3/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "/anaconda3/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "/anaconda3/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "/anaconda3/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "/anaconda3/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "/anaconda3/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "/anaconda3/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "/anaconda3/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "/anaconda3/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "/anaconda3/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "/anaconda3/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "/anaconda3/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "/anaconda3/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "/anaconda3/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "/anaconda3/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "/anaconda3/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "/anaconda3/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "/anaconda3/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1313  568]\n",
      " [ 721 4555]]\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.65      0.70      0.67      1881\n",
      "           1       0.89      0.86      0.88      5276\n",
      "\n",
      "    accuracy                           0.82      7157\n",
      "   macro avg       0.77      0.78      0.77      7157\n",
      "weighted avg       0.83      0.82      0.82      7157\n",
      "\n",
      "Accuracy: 0.8198966047226491\n",
      "[False False False False False False False False False  True False False\n",
      " False False  True  True False False False False False False False False\n",
      " False False]\n",
      "[12 20 17 21 19 18 23 15 24  1  4  2  8  7  1  1 16  5  9 13 22 14  6 11\n",
      "  3 10]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/anaconda3/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "/anaconda3/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n"
     ]
    }
   ],
   "source": [
    "#Recursive Feature Elimination with Logistic Regression\n",
    "\n",
    "from sklearn.feature_selection import RFE\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn import metrics\n",
    "from sklearn.metrics import classification_report, confusion_matrix, accuracy_score\n",
    "\n",
    "\n",
    "# create a base classifier used to evaluate a subset of attributes\n",
    "model = LogisticRegression()\n",
    "# create the RFE model and select 3 attributes\n",
    "rfe = RFE(model, 3)\n",
    "rfe = rfe.fit(X_train, y_train)\n",
    "\n",
    "y_pred = rfe.predict(X_test)\n",
    "\n",
    "print(confusion_matrix(y_test,y_pred)) \n",
    "print(classification_report(y_test, y_pred))\n",
    "print(\"Accuracy:\",metrics.accuracy_score(y_test, y_pred))\n",
    "\n",
    "# summarize the selection of the attributes\n",
    "print(rfe.support_)\n",
    "print(rfe.ranking_)\n",
    "#πάνε ανάποδα οι αριθμοί. 1 -> καλύτερο, True είναι τα features που επιλέγει"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-08-23T09:26:35.147430Z",
     "start_time": "2019-08-23T09:26:34.781674Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'tract_to_msamd_income': 12, 'population': 20, 'minority_population': 17, 'number_of_owner_occupied_units': 21, 'number_of_1_to_4_family_units': 19, 'loan_amount_000s': 18, 'hud_median_family_income': 23, 'applicant_income_000s': 15, 'sequence_number': 24, 'purchaser_type_name': 1, 'property_type_name': 4, 'preapproval_name': 2, 'owner_occupancy_name': 8, 'loan_type_name': 7, 'loan_purpose_name': 1, 'lien_status_name': 1, 'hoepa_status_name': 16, 'co_applicant_sex_name': 5, 'co_applicant_race_name_1': 9, 'co_applicant_ethnicity_name': 13, 'census_tract_number': 22, 'as_of_year': 14, 'applicant_sex_name': 6, 'applicant_race_name_1': 11, 'applicant_ethnicity_name': 3, 'agency_name': 10}\n"
     ]
    }
   ],
   "source": [
    "#feature importance\n",
    "\n",
    "import matplotlib.pyplot as plt \n",
    "\n",
    "fig = plt.figure(figsize=(8,8))\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.bar([i for i in range(len(rfe.ranking_))], rfe.ranking_.tolist(), tick_label=X_test.columns)\n",
    "plt.title('Figure 6: Feature importance of the technical indicators.')\n",
    "plt.show()\n",
    "\n",
    "print(dict(zip(X_train.columns, rfe.ranking_)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-08-23T16:46:04.182441Z",
     "start_time": "2019-08-23T16:46:03.836273Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/anaconda3/lib/python3.6/site-packages/sklearn/ensemble/forest.py:245: FutureWarning: The default value of n_estimators will change from 10 in version 0.20 to 100 in 0.22.\n",
      "  \"10 in version 0.20 to 100 in 0.22.\", FutureWarning)\n",
      "/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:10: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  # Remove the CWD from sys.path while we load stuff.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1509  372]\n",
      " [ 485 4791]]\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.76      0.80      0.78      1881\n",
      "           1       0.93      0.91      0.92      5276\n",
      "\n",
      "    accuracy                           0.88      7157\n",
      "   macro avg       0.84      0.86      0.85      7157\n",
      "weighted avg       0.88      0.88      0.88      7157\n",
      "\n",
      "Accuracy: 0.8802570909598993\n",
      "[3.59715588e-02 3.19106015e-02 3.34960178e-02 3.20704365e-02\n",
      " 3.25888704e-02 4.46187908e-02 2.35708740e-02 4.32873679e-02\n",
      " 5.37516030e-02 4.37683963e-01 5.39196562e-03 1.29468784e-02\n",
      " 8.96496573e-03 1.66635992e-02 3.55117559e-02 6.70224943e-03\n",
      " 1.81486272e-05 1.16924633e-02 9.12858062e-03 7.34614293e-03\n",
      " 3.28919598e-02 0.00000000e+00 1.44064779e-02 1.23804021e-02\n",
      " 1.12852736e-02 4.57190534e-02]\n"
     ]
    }
   ],
   "source": [
    "#Extra Trees ensemble\n",
    "\n",
    "from sklearn.ensemble import ExtraTreesClassifier\n",
    "from sklearn import metrics\n",
    "from sklearn.metrics import classification_report, confusion_matrix, accuracy_score\n",
    "\n",
    "\n",
    "# fit an Extra Trees model to the data\n",
    "model = ExtraTreesClassifier()\n",
    "model.fit(X_train, y_train)\n",
    "\n",
    "y_pred = model.predict(X_test)\n",
    "\n",
    "print(confusion_matrix(y_test,y_pred)) \n",
    "print(classification_report(y_test, y_pred))\n",
    "print(\"Accuracy:\",metrics.accuracy_score(y_test, y_pred))\n",
    "\n",
    "# display the relative importance of each attribute\n",
    "print(model.feature_importances_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-08-23T16:46:05.835858Z",
     "start_time": "2019-08-23T16:46:05.425805Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.ticker as ticker\n",
    "\n",
    "feature_importances = model.feature_importances_.reshape(len(model.feature_importances_),1)\n",
    "\n",
    "fig = plt.figure(figsize=(10,10))\n",
    "ax = fig.add_subplot(1, 1, 1)\n",
    "ax.matshow(feature_importances, cmap='viridis')\n",
    "\n",
    "fontdict = {'fontsize': 14}\n",
    "\n",
    "# ax.set_xticklabels(fontdict=fontdict)\n",
    "ax.set_yticklabels(X_test.columns, fontdict=fontdict)\n",
    "\n",
    "ax.xaxis.set_major_locator(ticker.MultipleLocator(1))\n",
    "ax.yaxis.set_major_locator(ticker.MultipleLocator(1))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-08-23T09:26:36.493872Z",
     "start_time": "2019-08-23T09:26:36.137005Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'tract_to_msamd_income': 0.036608716054667076, 'population': 0.033593166388274066, 'minority_population': 0.0333978205434206, 'number_of_owner_occupied_units': 0.032134080366419696, 'number_of_1_to_4_family_units': 0.03244500711652476, 'loan_amount_000s': 0.04408923107821506, 'hud_median_family_income': 0.024166185509598516, 'applicant_income_000s': 0.04277568469198344, 'sequence_number': 0.052118840801976284, 'purchaser_type_name': 0.43558298297022635, 'property_type_name': 0.005364153925546999, 'preapproval_name': 0.01176357347084257, 'owner_occupancy_name': 0.009594920651765168, 'loan_type_name': 0.020114997944327355, 'loan_purpose_name': 0.034892900435708335, 'lien_status_name': 0.006482609743228745, 'hoepa_status_name': 1.2211888698417325e-05, 'co_applicant_sex_name': 0.010741635905412748, 'co_applicant_race_name_1': 0.008695804813803642, 'co_applicant_ethnicity_name': 0.00839898722067767, 'census_tract_number': 0.034135673420908265, 'as_of_year': 0.0, 'applicant_sex_name': 0.015509144746411175, 'applicant_race_name_1': 0.011615015573873266, 'applicant_ethnicity_name': 0.009999226607182405, 'agency_name': 0.045767428130307354}\n"
     ]
    }
   ],
   "source": [
    "#feature importance\n",
    "\n",
    "import matplotlib.pyplot as plt \n",
    "\n",
    "fig = plt.figure(figsize=(8,8))\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.bar([i for i in range(len(model.feature_importances_))], model.feature_importances_.tolist(), tick_label=X_test.columns)\n",
    "plt.title('Figure : Feature importance of the technical indicators.')\n",
    "plt.show()\n",
    "\n",
    "print(dict(zip(X_train.columns, model.feature_importances_)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-08-23T16:48:46.868095Z",
     "start_time": "2019-08-23T16:48:41.461373Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:20: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1584  297]\n",
      " [ 409 4867]]\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.79      0.84      0.82      1881\n",
      "           1       0.94      0.92      0.93      5276\n",
      "\n",
      "    accuracy                           0.90      7157\n",
      "   macro avg       0.87      0.88      0.88      7157\n",
      "weighted avg       0.90      0.90      0.90      7157\n",
      "\n",
      "Accuracy: 0.9013553164733827\n"
     ]
    }
   ],
   "source": [
    "#random forest\n",
    "\n",
    "from pandas import read_csv\n",
    "import numpy as np\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn import metrics\n",
    "from sklearn.metrics import classification_report, confusion_matrix, accuracy_score\n",
    "\n",
    "np.random.seed(1)\n",
    "\n",
    "trees=250\n",
    "max_feat=7\n",
    "max_depth=30\n",
    "min_sample=2\n",
    "\n",
    "clf = RandomForestClassifier(n_estimators=trees,max_features=max_feat,max_depth=max_depth,min_samples_split= min_sample, random_state=0,n_jobs=-1)\n",
    "\n",
    "#Train the classifier and calculate the training time\n",
    "\n",
    "clf.fit(X_train, y_train) \n",
    "\n",
    "y_pred = clf.predict(X_test)\n",
    "\n",
    "print(confusion_matrix(y_test,y_pred)) \n",
    "print(classification_report(y_test, y_pred))\n",
    "print(\"Accuracy:\",metrics.accuracy_score(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-08-23T16:48:52.078836Z",
     "start_time": "2019-08-23T16:48:51.361140Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.ticker as ticker\n",
    "\n",
    "feature_importances = clf.feature_importances_.reshape(len(clf.feature_importances_),1)\n",
    "\n",
    "fig = plt.figure(figsize=(10,10))\n",
    "ax = fig.add_subplot(1, 1, 1)\n",
    "ax.matshow(feature_importances, cmap='viridis')\n",
    "\n",
    "fontdict = {'fontsize': 14}\n",
    "\n",
    "# ax.set_xticklabels(fontdict=fontdict)\n",
    "ax.set_yticklabels(X_test.columns, fontdict=fontdict)\n",
    "\n",
    "ax.xaxis.set_major_locator(ticker.MultipleLocator(1))\n",
    "ax.yaxis.set_major_locator(ticker.MultipleLocator(1))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-08-23T09:26:41.879204Z",
     "start_time": "2019-08-23T09:26:41.763488Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('tract_to_msamd_income', 0.03198076954896499)\n",
      "('population', 0.029635207471686877)\n",
      "('minority_population', 0.02809286886103299)\n",
      "('number_of_owner_occupied_units', 0.029134879534158612)\n",
      "('number_of_1_to_4_family_units', 0.030253872794351218)\n",
      "('loan_amount_000s', 0.05686986994828707)\n",
      "('hud_median_family_income', 0.013924471104306599)\n",
      "('applicant_income_000s', 0.05571234761444472)\n",
      "('sequence_number', 0.06261007552564789)\n",
      "('purchaser_type_name', 0.48151207882580604)\n",
      "('property_type_name', 0.0024014398260327353)\n",
      "('preapproval_name', 0.006145053092260387)\n",
      "('owner_occupancy_name', 0.0045162290995678245)\n",
      "('loan_type_name', 0.011915098771093811)\n",
      "('loan_purpose_name', 0.030163404493174378)\n",
      "('lien_status_name', 0.0033109193470610464)\n",
      "('hoepa_status_name', 0.0)\n",
      "('co_applicant_sex_name', 0.007299183262629631)\n",
      "('co_applicant_race_name_1', 0.006781359169553321)\n",
      "('co_applicant_ethnicity_name', 0.006185336774229246)\n",
      "('census_tract_number', 0.031149438064009025)\n",
      "('as_of_year', 0.0)\n",
      "('applicant_sex_name', 0.0109194885685316)\n",
      "('applicant_race_name_1', 0.007787067960316856)\n",
      "('applicant_ethnicity_name', 0.009251203090664599)\n",
      "('agency_name', 0.04244833725218837)\n"
     ]
    }
   ],
   "source": [
    "for feature in zip(df.columns, clf.feature_importances_):\n",
    "    print(feature)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-08-23T09:26:42.752456Z",
     "start_time": "2019-08-23T09:26:42.040886Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'tract_to_msamd_income': 0.03198076954896499, 'population': 0.029635207471686877, 'minority_population': 0.02809286886103299, 'number_of_owner_occupied_units': 0.029134879534158612, 'number_of_1_to_4_family_units': 0.030253872794351218, 'loan_amount_000s': 0.05686986994828707, 'hud_median_family_income': 0.013924471104306599, 'applicant_income_000s': 0.05571234761444472, 'sequence_number': 0.06261007552564789, 'purchaser_type_name': 0.48151207882580604, 'property_type_name': 0.0024014398260327353, 'preapproval_name': 0.006145053092260387, 'owner_occupancy_name': 0.0045162290995678245, 'loan_type_name': 0.011915098771093811, 'loan_purpose_name': 0.030163404493174378, 'lien_status_name': 0.0033109193470610464, 'hoepa_status_name': 0.0, 'co_applicant_sex_name': 0.007299183262629631, 'co_applicant_race_name_1': 0.006781359169553321, 'co_applicant_ethnicity_name': 0.006185336774229246, 'census_tract_number': 0.031149438064009025, 'as_of_year': 0.0, 'applicant_sex_name': 0.0109194885685316, 'applicant_race_name_1': 0.007787067960316856, 'applicant_ethnicity_name': 0.009251203090664599, 'agency_name': 0.04244833725218837}\n"
     ]
    }
   ],
   "source": [
    "#feature importance\n",
    "\n",
    "import matplotlib.pyplot as plt \n",
    "\n",
    "fig = plt.figure(figsize=(8,8))\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.bar([i for i in range(len(clf.feature_importances_))], clf.feature_importances_.tolist(), tick_label=X_test.columns)\n",
    "plt.title('Figure : Feature importance of the technical indicators.')\n",
    "plt.show()\n",
    "\n",
    "print(dict(zip(X_train.columns, clf.feature_importances_)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-05T10:00:08.643697Z",
     "start_time": "2019-11-05T10:00:06.221329Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[[ 0.00000000e+00]\n",
      "  [-3.68937547e-06]\n",
      "  [ 0.00000000e+00]\n",
      "  [ 3.79617963e-05]\n",
      "  [-6.15611575e-06]\n",
      "  [ 6.01807959e-06]\n",
      "  [ 2.42309851e-06]\n",
      "  [ 1.29693634e-04]\n",
      "  [-3.36518160e-07]\n",
      "  [ 0.00000000e+00]\n",
      "  [ 0.00000000e+00]\n",
      "  [ 0.00000000e+00]\n",
      "  [ 0.00000000e+00]\n",
      "  [ 0.00000000e+00]\n",
      "  [ 0.00000000e+00]\n",
      "  [ 0.00000000e+00]\n",
      "  [ 0.00000000e+00]\n",
      "  [ 0.00000000e+00]\n",
      "  [ 0.00000000e+00]\n",
      "  [ 0.00000000e+00]\n",
      "  [-5.23168022e-07]\n",
      "  [ 2.71487556e-04]\n",
      "  [ 0.00000000e+00]\n",
      "  [ 0.00000000e+00]\n",
      "  [ 0.00000000e+00]\n",
      "  [ 0.00000000e+00]]]\n"
     ]
    }
   ],
   "source": [
    "#LASSO\n",
    "\n",
    "from sklearn.linear_model import lasso_path, enet_path\n",
    "\n",
    "_, coef_path, _ = lasso_path(X_train, y_train, alphas=[1.])\n",
    "print(coef_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-05T10:00:11.166074Z",
     "start_time": "2019-11-05T10:00:11.161663Z"
    }
   },
   "outputs": [],
   "source": [
    "weight = [None]*26\n",
    "\n",
    "for i in range(26):\n",
    "    variable = np.mean(coef_path[:,i,:])\n",
    "    weight[i] = variable\n",
    "    \n",
    "final_weight = np.asarray(weight)\n",
    "final_weight = final_weight.reshape(26,1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-05T10:00:37.647179Z",
     "start_time": "2019-11-05T10:00:37.384258Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.ticker as ticker\n",
    "import matplotlib.pyplot as plt \n",
    "\n",
    "fig = plt.figure(figsize=(10,10))\n",
    "ax = fig.add_subplot(1, 1, 1)\n",
    "ax.matshow(final_weight, cmap='viridis')\n",
    "\n",
    "fontdict = {'fontsize': 14}\n",
    "\n",
    "# ax.set_xticklabels(fontdict=fontdict)\n",
    "ax.set_yticklabels(X_test.columns, fontdict=fontdict)\n",
    "\n",
    "ax.xaxis.set_major_locator(ticker.MultipleLocator(1))\n",
    "ax.yaxis.set_major_locator(ticker.MultipleLocator(1))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  },
  "latex_envs": {
   "LaTeX_envs_menu_present": true,
   "autoclose": false,
   "autocomplete": true,
   "bibliofile": "biblio.bib",
   "cite_by": "apalike",
   "current_citInitial": 1,
   "eqLabelWithNumbers": true,
   "eqNumInitial": 1,
   "hotkeys": {
    "equation": "Ctrl-E",
    "itemize": "Ctrl-I"
   },
   "labels_anchors": false,
   "latex_user_defs": false,
   "report_style_numbering": false,
   "user_envs_cfg": false
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}