Complete_SHAP.ipynb 105 KB
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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ACC_TEST: 0.6629213483146067\n",
      "PRE_TEST: 0.7835249042145593\n",
      "RECALL_TEST: 0.7100694444444444\n",
      "ROC_AUC_TEST: 0.6885483323637773\n",
      "PR_AUC_TEST: 0.8329382260060634\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import shap\n",
    "from tools import data_loader\n",
    "from utility.settings import load_settings\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import accuracy_score, precision_score\n",
    "from sklearn.metrics import recall_score, roc_auc_score, average_precision_score\n",
    "import paths as pt\n",
    "\n",
    "# Load the data\n",
    "settings = load_settings(pt.CONFIGS_DIR, \"complete.yaml\")\n",
    "dl = data_loader.CompleteDataLoader(pt.PROCESSED_DATA_DIR,\n",
    "                                    \"complete_emb.csv\",\n",
    "                                    settings).load_data()\n",
    "features = dl.get_features()\n",
    "X, y = dl.get_data()\n",
    "\n",
    "# Split data\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.7,\n",
    "                                                    stratify=y, random_state=0)\n",
    "X_train = np.array(X_train)\n",
    "X_test = np.array(X_test)\n",
    "y_train = np.array(y_train)\n",
    "y_test = np.array(y_test)\n",
    "\n",
    "# Shuffle data\n",
    "idx = np.arange(len(X_train))\n",
    "np.random.shuffle(idx)\n",
    "X_train = X_train[idx]\n",
    "y_train = y_train[idx]\n",
    "\n",
    "# Model\n",
    "model = RandomForestClassifier(n_estimators=600,\n",
    "                               class_weight=\"balanced\",\n",
    "                               criterion=\"gini\",\n",
    "                               max_depth=15,\n",
    "                               max_features=\"auto\",\n",
    "                               min_samples_leaf=4,\n",
    "                               min_samples_split=10,\n",
    "                               random_state=0)\n",
    "\n",
    "# Train\n",
    "model.fit(X_train, y_train)\n",
    "\n",
    "# Evaluate model\n",
    "print(f\"ACC_TEST: {accuracy_score(y_test, model.predict(X_test))}\")\n",
    "print(f\"PRE_TEST: {precision_score(y_test, model.predict(X_test))}\")\n",
    "print(f\"RECALL_TEST: {recall_score(y_test, model.predict(X_test))}\")\n",
    "print(f\"ROC_AUC_TEST: {roc_auc_score(y_test, model.predict_proba(X_test)[:,1])}\")\n",
    "print(f\"PR_AUC_TEST: {average_precision_score(y_test, model.predict_proba(X_test)[:,1])}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Random Forest Feature Importance')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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7I+JUYGHuDR0O7AM8ExE7RMT2wA31O5c0Lg+VMG3x6y+VdEpmZquHqiWc3SNiJ+CTwDGS9gD2A26JiIWksjYHSOrTYNvZwN6STpM0MiKWyyiuFm1m1jqVSjgR8XT++TyphtqupB7NXpLmA9NJQxns2WDbh0hj6cwGvpPHyzEzs5JUJuHkezDr16ZJY+Y8RKoMvWWuFt0BHMPSMXEWFSpObwq8HhG/As4gJR8zMytJlV783AS4Kj+E1hf4NTAImJwHeav5LXB6Hin0bNJIpTNIA8idIWkJqVr00WUGb2a2uqtMwomIeaRhq+tNrFtvAVAbH/qU/KlZZkA3MzMrT2USTtlcLdrMrLkqcw/HzMyqzQnHzMxK4UtqnXC16NZyFWaz1Y97OGZmVopKJRxJAyVdIenPkh6QVKub5mrRZmZtrlIJh1Sg84aI2Ib0iPQDud3Vos3M2lxlEo6kDYA9gF8ARMTfI+JvebGrRZuZtbkqPTTwLuAF4JeSdiDVTTsBWEyqFn0UMJCUfO6IiFMlHRsRwwEkHUSqFr1vnnd1TjOzElWmh0NKjjsB/xUROwKvAafSxGrRHp7AzKx1qpRwngKeioi78/wVpATUtGrRHp7AzKx1KpNwIuK/gSclvS83fQxXizYzq4wq3cMBOA64SNKawDzSmDhDXC3azKz9VSrhRMRMYERds6tFm5lVQKUSTplcLdrMrLkqcw/HzMyqzQnHzMxK4UtqnXC16K5x1Wcz6yr3cMzMrBROOGZmVorKJBxJJ+Sim3MlnVho99AEZmYVUImEI2l74N+AXUnDEuwn6T15sYcmMDOrgEokHOD9wN0R8XpEvAX8ETgwL/PQBGZmFVCVhDMHGClpI0nrAp8CtpC0NmlogmuBi8k11CLiVGBhRAyPiMOBfUhDE+wQEdsDNzQ6iKtFm5m1TiUSTkQ8AJwG3EhKFjNJ4+A0bWiCfBxXizYza5FKJByAiPhFROwcEXsAfyXdt2na0ARmZtZalUk4kv4h/9ySdP/mOjw0gZlZZVSp0sCVkjYiDS1wDPBRYLKHJjAzq4bKJJyIGNmg2UMTmJlVRGUSTtk8PIGZWXNV5h6OmZlVm3s4nXC16OW5MrSZ9YR7OGZmVgonHDMzK0VlEo6k9+XaaLXPy7Wq0a4YbWbW/iqTcCLiwVwbbTiwM/A6cFVe7IrRZmZtrjIJp87HgEcj4vE874rRZmZtrqpPqX2WVB2aQsXoo4CBpORzR0ScKunY3CNC0kGkitH75vnlqnNKGgeMA+gzYOP6xWZm1gOV6+FIWhP4NHB5bmpaxWhXizYza53KJRzgk8CMiHguz7titJlZBVTxktpoll5OG0CqGL1FrYinpCPzOjeRK0ZHxKJcMXpBRPxK0t+AL/RK9GZmq6lKJRxJ/UlPpB2Vmz6DK0abmVVCpRJORLxGumRWm5+IK0abmVVCpRJOmVwt2sysuar40ICZmVWQE46ZmZXCl9Q64eEJPByBmTWXezhmZlaKtks4ks6T9LykOYW2DSXdJOnh/HNQ3TZXS7qrrm1sfvfGzMzaQNslHOB8YJ+6tlOBmyNiKHBzngdA0kBS9egNJL27sM1YwAnHzKxNtF3CiYjbgAV1zfuz9H2bicABhWUHAtcCl5CKeiLpYGAEcFGuFr2OpAmS7pc0S9L3WnkOZma2vLZLOJ3YJCKezdP/DWxSWFYrdXNxniYirgCmAYfnatHrkqoSbBcRw4DvlBS3mZllVUk4b4uIAAJA0ibAUOBPuTjnIknbN9jsJeAN4BeSDiQN3rYcSeMkTZM0bfHryxWTNjOzHqhKwnlO0hCA/PP53P7PwCDgsVwtuoPcyymKiLeAXYErSMMZ3NDoIB6ewMysdaqScK4BxuTpMaQCnZCSyz4R0RERHaSHBz6bl70CrA8gaT1gg4j4HXASsENJcZuZWdZ2L35KuhgYBQyW9BTwTWACcJmkzwOPA/8sqQPYCnj7ceiIeEzSS5I+SHra7SxJC0lj6Pw2jw4q4N/LOyMzM4M2TDgRsdwlsexjdfMLgM0abL9TnrybNAJoza49j87MzLqr7RJOu3C1aDOz5qrKPRwzM6s4JxwzMyuFL6l1YnWsFu3q0GbWSu7hmJlZKZxwzMysFJVKOJJOkjRX0hxJF+f3apA0WNIiSV8srDtQ0pd6L1ozMyuqTMKRtBlwPDAiIrYH+rC0qsAhpBdAi+/wDASccMzM2kRlEk7WF1hHUl9SBehncvto4MvAZpI2z20TgK3z8ARnSBoi6bY8P0fSyPLDNzNbfVUm4UTE08D3gCeAZ4GXIuJGSVsAQyJiKnAZcGje5FTg0YgYHhEnA4cBk/JwBTsAM+uP4WrRZmatU5mEk4eV3h94F2kkz/6S/oWUYC7Lq11Cg2rR2T3AkZLGAx+IiFfqV3C1aDOz1qlMwgH2Ah6LiBciYhHwG+AfSQlmbB6e4BpgmKSh9RvnkUT3AJ4Gzpd0RGmRm5lZpRLOE8CHJK0rSaRing8C60XEZoUhCr5LSkJvD08AIGkr4LmIOAc4F9ip/gBmZtY6lak0EBF3S7oCmAG8BdxLehLtqrpVrwQujYhvS5oiaQ7we2AOcLKkRcCrgHs4ZmYlqkzCAYiIb5LGx1nROrOA9+fpw+oWT2xRaGZmthKVSjhl8vAEZmbNVaV7OGZmVmHu4XSiCtWiXd3ZzKrEPRwzMyuFE46ZmZWi9IQjaRNJv5Y0T9J0SXdK+kwT9jtK0nXNiNHMzJqv1ISTX9i8GrgtIt4dETuTKj5vvsINWxOL71+ZmZWo7B7OnsDfI+KsWkNEPB4RP5HUJ1d1vkfSLElHwds9l1slXSHpz5IuyokLSfvkthnAgbV9Suov6TxJUyXdK2n/3D5W0jWSJgM3l3rmZmarubL/yt+OVCmgkc+TKkDvImktYIqkG/OyHfO2zwBTgN0kTQPOISWxR4BLC/v6OjA5Iv5V0kBgqqQ/5GU7AcMiYkF9AJLGAeMA+gzYuPtnaWZmy+nVy0qSfgbsDvwdeJxUePPgvHgDYGheNjUinsrbzAQ6SOVpHouIh3P7r8jJAvg48GlJX8nzawNb5umbGiUbSNWigbMB1hoyNJpzlmZmBuUnnLnAQbWZiDhG0mBgGqk453ERMam4gaRRwJuFpsWsPG4BB0XEg3X7+iDwWneDNzOz7iv7Hs5kYG1JRxfa1s0/JwFHS+oHIOm9kvqvYF9/BjokbZ3ni+PgTAKOK9zr2bEp0ZuZWbeVmnAiIoADgI9IekzSVFJBzVNIQwbcD8zIFZ5/zgp6MhHxBukS2vX5oYHnC4v/E+gHzJI0N8+bmVkvUsoBVm+tIUNjyJgf9nYYK+TSNmbWbiRNj4gRjZb5XZROuFq0mVlzubSNmZmVwgnHzMxK4YRjZmalcMIxM7NSOOGYmVkpnHDMzKwUTjhmZlYKJxwzMyuFE46ZmZXCpW06IekV4MGVrtgeBgMv9nYQXeRYW8OxtoZjXXVbRUTDAcVc2qZzD3ZWD6jdSJrmWJvPsbaGY22NKsTqS2pmZlYKJxwzMyuFE07nzu7tAFaBY20Nx9oajrU12j5WPzRgZmalcA/HzMxK4YRjZmalWC0TjqR9JD0o6RFJpzZYvpakS/PyuyV1FJZ9Nbc/KOkT7RqrpL0lTZc0O//cs11jLSzfUtKrkr7SrnFKGibpTklz83e7djvGKqmfpIk5xgckfbWVcXYx1j0kzZD0lqSD65aNkfRw/oxp11glDS/8/mdJOrRdYy0sHyDpKUk/bXWsKxURq9UH6AM8CrwbWBO4D9i2bp0vAWfl6c8Cl+bpbfP6awHvyvvp06ax7ghsmqe3B55u1++1sPwK4HLgK+0YJ+m9tVnADnl+ozb+/R8GXJKn1wXmAx29HGsHMAy4ADi40L4hMC//HJSnB7VprO8FhubpTYFngYHtGGth+Y+AXwM/bVWcXf2sjj2cXYFHImJeRPwduATYv26d/YGJefoK4GOSlNsviYg3I+Ix4JG8v7aLNSLujYhncvtcYB1Ja7VjrACSDgAey7G2Uk/i/DgwKyLuA4iIv0TE4jaNNYD+kvoC6wB/B17uzVgjYn5EzAKW1G37CeCmiFgQEX8FbgL2acdYI+KhiHg4Tz8DPA80fKu+t2MFkLQzsAlwYwtj7LLVMeFsBjxZmH8qtzVcJyLeAl4i/TXblW2bqSexFh0EzIiIN1sU5zJxZF2OVdJ6wCnAt1oYX4/jJP11G5Im5UsY/9HGsV4BvEb6C/wJ4HsRsaCXY23Ftt3RlONJ2pXU63i0SXE10u1YJa0BfB9o6SXqVeHSNu9wkrYDTiP9dd6uxgM/iIhXc4enXfUFdgd2AV4HbpY0PSJu7t2wGtoVWEy67DMIuF3SHyJiXu+G9c4gaQhwITAmIpbrWbSJLwG/i4in2uX/q9Wxh/M0sEVhfvPc1nCdfEliA+AvXdy2mXoSK5I2B64CjoiIVv4V1tNYPwicLmk+cCLwNUnHtmGcTwG3RcSLEfE68DtgpxbF2dNYDwNuiIhFEfE8MAVoZZ2tnvy/0Y7/X3VK0gDgeuDrEXFXk2Or15NYPwwcm/+/+h5whKQJzQ1vFfX2TaSyP6S/UueRbvrXbsJtV7fOMSx7I/ayPL0dyz40MI/W3jTuSawD8/oHtvv3WrfOeFr70EBPvtNBwAzSTfi+wB+Afds01lOAX+bp/sD9wLDejLWw7vks/9DAY/n7HZSnN2zTWNcEbgZObFV8zYq1btlY2uChgV49eK+dNHwKeIh07fXrue3bwKfz9Nqkp6UeAaYC7y5s+/W83YPAJ9s1VuB/k67hzyx8/qEdY63bx3hamHCa8Pv/F9KDDXOA09v4979ebp9LSjYnt0Gsu5B6ia+RemFzC9v+az6HR4Aj2zXW/PtfVPf/1fB2jLVuH2Npg4Tj0jZmZlaK1fEejpmZ9QInHDMzK4UTjpmZlcIJx8zMSuGEY2ZmpXDCsZaRtFjSTElzJF0raWCT9ju2FZVvJd2aq/LOzJ/lKu826Tgdkg5bwbKFhRhmSlqzG8cYK2nTnkfbcN+jJF3Xin2v5Jj/WOYxrfmccKyVFkbE8IjYHlhAekmx3R2eYx4eEVd0ZYP8hv+q6CBVAujMo4UYhkcq2riqxpLK2nRZN86jFDmuUYATTsU54VhZ7iQXHZS0ax5T5F5Jd0h6X24fK+k3km7I46KcXttY0pGSHpI0Fdit0N4haXIem+RmSVvm9vMl/ZekuyTNy38hn6c0Nsz5XQ1a0oaSrs77v0vSsNw+XtKFkqYAF0raWNKVku7Jn93yeh8p9FTulbQ+MAEYmdtO6mIcH8/f2QxJl+eCp0j6Rj7eHElnKzmYVMbmonyMdSTNlzQ4bzNC0q2rch4riGu80rg7t0t6XNKBkk5XGofnBkn98nrzC+1TJb2nC7+/syTdDVwGfBE4KZ/PSEn/pDT+z72S/iBpk0I85yn1VudJOr4Q6xH5OPdJujC3rdL5Wg/19pun/rxzP8Cr+Wcf0lvv++T5AUDfPL0XcGWeHksq47EB6Q36x0l1pIaQKh5vTCrvMYX81jRwLamAIqS31a/O0+eTSrnXhpV4GfgA6Y+s6TR4Oxy4lVRBYmb+bAT8BPhmXr4nMDNPj8/7WSfP/xrYPU9vCTxQiG+3PL0eqVTJKOC6Tr6zDmBhIYafAYOB24D+eZ1TgG/k6Q0L214I/FPhXEYUls0HBufpEcCtq3IedTG+HX/e/k9AP2AHUlHTT+ZlVwEHFI5fe0v+iML2K/r9XUcuHUVdBQpSCZzai+tfAL5fWO8OUvmpwaQ37/uRylI9VPgONuzq+frTvE9bdqHtHWMdSTNJPZsHSOOcQEooEyUNJY3b0q+wzc0R8RKApPuBrUj/cNwaES/k9ktJQwVAKlB4YJ6+EDi9sK9rIyIkzQaei4jZefu5pH/YZzaI+fCImFabkbQ7aXgHImKypI2UijcCXBMRC/P0XsC2WlqVd0DuhUwBzpR0EfCb6Frl3kcjYnghhv1Ig/9NyduuSeoxAnxUaZiEdUk1yeaS/hFfFSs9j4h4dQXb/z4iFuXvuQ9wQ26fTfqeay4u/PxBnl7R7+/y6Hy8oc2BS5WqNq9Jqr9Wc32koTjelPQ8aTyYPfP+XgSIpUM1dOd8rZuccKyVFkbEcEnrApNI93B+DPwncEtEfEZpSORbC9sUx+xZTM/+G63ta0ndfpf0cL81rxWm1wA+FBFv1K0zQdL1pHpYU9S9YclFGqBs9DKNaXjr/0/qyTwpaTypZ9jIWyy9hF6/TlfOY0XeBIiIJZIWRe4usPz3HJ1Md+a1FSz7CXBmRFwjaRSpZ7NMPNnK/hvqzvlaN/kejrVcpFL+xwNf1tIS+rUS62O7sIu7gY/k3kU/4JDCsjtIVZIBDgdub0rQS92e90v+h+3FiGg0cuaNwHG1GUnD88+tI2J2RJwG3ANsA7wCrL8KMdwF7Fa479Ff0ntZmjhezL2p4lN19ceYD+ycpw9awbEankeTHFr4WeuhdfX3V38+xf+GxnTh2JOBQyRtBOneXG5v5flaHSccK0VE3AvMAkaTLpt8V9K9dKGnERHPkv6CvZN0ieqBwuLjgCMlzQI+B5zQ3MgZD+yc9z+Bzv9xOx4YkW9K30+6yQ1wYr6hP4tUZfj3pO9hcb55vdKHBvKlxLHAxXk/dwLbRMTfgHNIlasnkRJazfnAWbWHBkijqf5I0jTSX/2d6ew8mmFQjv8EoHbeXf39XQt8pvbQAOn3crmk6cCLKztwRMwF/i/wR0n3AWfmRa08X6vjatFm1nJKg4CNqN1DsdWTezhmZlYK93DMzKwU7uGYmVkpnHDMzKwUTjhmZlYKJxwzMyuFE46ZmZXifwBWxnCNWo8n+wAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "sorted_idx = model.feature_importances_.argsort()\n",
    "plt.barh(features[sorted_idx], model.feature_importances_[sorted_idx])\n",
    "plt.xlabel(\"Random Forest Feature Importance\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Permutation Importance')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.inspection import permutation_importance\n",
    "perm_importance = permutation_importance(model, X_test, y_test)\n",
    "sorted_idx = perm_importance.importances_mean.argsort()\n",
    "plt.barh(features[sorted_idx], perm_importance.importances_mean[sorted_idx])\n",
    "plt.xlabel(\"Permutation Importance\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x511.2 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Show SHAP plot\n",
    "explainer = shap.TreeExplainer(model)\n",
    "shap_values = explainer.shap_values(X_test)\n",
    "shap.summary_plot(shap_values[0], X_test, feature_names=features)"
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "59ff6fbb0321898508cf6243593820bf2585fcfb6693fd00e85ec94ed8847fd0"
  },
  "kernelspec": {
   "display_name": "Python 3.8.8 64-bit ('py38-air': conda)",
   "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": "3.8.8"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}