19b_standard_model_building.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-08T01:47:19.597113Z",
     "start_time": "2023-08-08T01:47:16.917620Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from xgboost import XGBClassifier\n",
    "import pandas as pd\n",
    "from sklearn.metrics import accuracy_score, roc_auc_score, balanced_accuracy_score, precision_score, matthews_corrcoef, confusion_matrix, recall_score, precision_recall_curve, roc_curve, auc\n",
    "from sklearn.model_selection import StratifiedKFold\n",
    "from sklearn.preprocessing import OneHotEncoder\n",
    "import matplotlib.pyplot as plt\n",
    "import statistics\n",
    "import numpy as np\n",
    "import pickle\n",
    "import shap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "        recount3_score  antisense_exon_start_ss  antisense_exon_end_ss  \\\n0                59151                    False                  False   \n1                61021                    False                  False   \n2                   21                    False                  False   \n3                  526                    False                  False   \n4                    0                    False                  False   \n...                ...                      ...                    ...   \n484602               0                    False                  False   \n484603           31374                    False                  False   \n484604              67                    False                  False   \n484605           18958                    False                  False   \n484606               0                    False                  False   \n\n        nearest_alt_start_ss_dist  nearest_alt_end_ss_dist  \\\n0                             170                      362   \n1                              24                      232   \n2                              24                      246   \n3                             322                      232   \n4                             322                      232   \n...                           ...                      ...   \n484602                        487                       25   \n484603                        777                      464   \n484604                        572                     2963   \n484605                       1178                        2   \n484606                        232                       24   \n\n        MaxEntScan_start_ss  MaxEntScan_end_ss  CpG_island  intron_length  \\\n0                      9.09              11.90       False            385   \n1                      7.66               3.89       False            499   \n2                      7.15               7.61       False            277   \n3                      1.14               3.89       False            168   \n4                    -12.10               7.63       False             78   \n...                     ...                ...         ...            ...   \n484602               -19.72               3.66        True            909   \n484603                 9.21              13.74       False            415   \n484604                 8.56               2.38       False           2970   \n484605               -12.64               5.91       False           2358   \n484606                 7.66               3.89       False            498   \n\n        phyloP_score  ...  repeat_features_start_site_Satellite repeats  \\\n0            5.65175  ...                                             0   \n1            1.40575  ...                                             0   \n2            5.75650  ...                                             0   \n3            5.35750  ...                                             0   \n4            3.62350  ...                                             0   \n...              ...  ...                                           ...   \n484602       0.58700  ...                                             0   \n484603       2.74250  ...                                             0   \n484604      -0.89575  ...                                             0   \n484605       2.41200  ...                                             0   \n484606       2.04075  ...                                             0   \n\n        repeat_features_start_site_Type II Transposons  \\\n0                                                    0   \n1                                                    0   \n2                                                    0   \n3                                                    0   \n4                                                    0   \n...                                                ...   \n484602                                               0   \n484603                                               0   \n484604                                               0   \n484605                                               0   \n484606                                               0   \n\n        repeat_features_end_site_Tandem repeats  \\\n0                                             0   \n1                                             0   \n2                                             0   \n3                                             0   \n4                                             0   \n...                                         ...   \n484602                                        0   \n484603                                        0   \n484604                                        0   \n484605                                        0   \n484606                                        0   \n\n        repeat_features_end_site_LTRs  \\\n0                                   0   \n1                                   0   \n2                                   0   \n3                                   0   \n4                                   0   \n...                               ...   \n484602                              0   \n484603                              0   \n484604                              0   \n484605                              0   \n484606                              0   \n\n        repeat_features_end_site_Type I Transposons/SINE  \\\n0                                                      0   \n1                                                      0   \n2                                                      0   \n3                                                      0   \n4                                                      0   \n...                                                  ...   \n484602                                                 0   \n484603                                                 0   \n484604                                                 0   \n484605                                                 0   \n484606                                                 0   \n\n        repeat_features_end_site_Satellite repeats  \\\n0                                                0   \n1                                                0   \n2                                                0   \n3                                                0   \n4                                                0   \n...                                            ...   \n484602                                           0   \n484603                                           0   \n484604                                           0   \n484605                                           0   \n484606                                           0   \n\n        repeat_features_end_site_Type I Transposons/LINE  splice_site  \\\n0                                                      0        GT:AG   \n1                                                      0        GT:AG   \n2                                                      0        GT:AG   \n3                                                      0        GC:AG   \n4                                                      0        GT:AG   \n...                                                  ...          ...   \n484602                                                 0        GT:AG   \n484603                                                 0        GT:AG   \n484604                                                 0        GT:AG   \n484605                                                 0        GT:AG   \n484606                                                 0        GT:AG   \n\n        repeat_features_start_site_Type I Transposons/SINE  class  \n0                                                       0       1  \n1                                                       0       1  \n2                                                       0       1  \n3                                                       0       1  \n4                                                       0       1  \n...                                                   ...     ...  \n484602                                                  0       0  \n484603                                                  0       0  \n484604                                                  0       0  \n484605                                                  0       0  \n484606                                                  0       0  \n\n[484607 rows x 25 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>recount3_score</th>\n      <th>antisense_exon_start_ss</th>\n      <th>antisense_exon_end_ss</th>\n      <th>nearest_alt_start_ss_dist</th>\n      <th>nearest_alt_end_ss_dist</th>\n      <th>MaxEntScan_start_ss</th>\n      <th>MaxEntScan_end_ss</th>\n      <th>CpG_island</th>\n      <th>intron_length</th>\n      <th>phyloP_score</th>\n      <th>...</th>\n      <th>repeat_features_start_site_Satellite repeats</th>\n      <th>repeat_features_start_site_Type II Transposons</th>\n      <th>repeat_features_end_site_Tandem repeats</th>\n      <th>repeat_features_end_site_LTRs</th>\n      <th>repeat_features_end_site_Type I Transposons/SINE</th>\n      <th>repeat_features_end_site_Satellite repeats</th>\n      <th>repeat_features_end_site_Type I Transposons/LINE</th>\n      <th>splice_site</th>\n      <th>repeat_features_start_site_Type I Transposons/SINE</th>\n      <th>class</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>59151</td>\n      <td>False</td>\n      <td>False</td>\n      <td>170</td>\n      <td>362</td>\n      <td>9.09</td>\n      <td>11.90</td>\n      <td>False</td>\n      <td>385</td>\n      <td>5.65175</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>GT:AG</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>61021</td>\n      <td>False</td>\n      <td>False</td>\n      <td>24</td>\n      <td>232</td>\n      <td>7.66</td>\n      <td>3.89</td>\n      <td>False</td>\n      <td>499</td>\n      <td>1.40575</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>GT:AG</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>21</td>\n      <td>False</td>\n      <td>False</td>\n      <td>24</td>\n      <td>246</td>\n      <td>7.15</td>\n      <td>7.61</td>\n      <td>False</td>\n      <td>277</td>\n      <td>5.75650</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>GT:AG</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>526</td>\n      <td>False</td>\n      <td>False</td>\n      <td>322</td>\n      <td>232</td>\n      <td>1.14</td>\n      <td>3.89</td>\n      <td>False</td>\n      <td>168</td>\n      <td>5.35750</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>GC:AG</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>0</td>\n      <td>False</td>\n      <td>False</td>\n      <td>322</td>\n      <td>232</td>\n      <td>-12.10</td>\n      <td>7.63</td>\n      <td>False</td>\n      <td>78</td>\n      <td>3.62350</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>GT:AG</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>484602</th>\n      <td>0</td>\n      <td>False</td>\n      <td>False</td>\n      <td>487</td>\n      <td>25</td>\n      <td>-19.72</td>\n      <td>3.66</td>\n      <td>True</td>\n      <td>909</td>\n      <td>0.58700</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>GT:AG</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>484603</th>\n      <td>31374</td>\n      <td>False</td>\n      <td>False</td>\n      <td>777</td>\n      <td>464</td>\n      <td>9.21</td>\n      <td>13.74</td>\n      <td>False</td>\n      <td>415</td>\n      <td>2.74250</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>GT:AG</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>484604</th>\n      <td>67</td>\n      <td>False</td>\n      <td>False</td>\n      <td>572</td>\n      <td>2963</td>\n      <td>8.56</td>\n      <td>2.38</td>\n      <td>False</td>\n      <td>2970</td>\n      <td>-0.89575</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>GT:AG</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>484605</th>\n      <td>18958</td>\n      <td>False</td>\n      <td>False</td>\n      <td>1178</td>\n      <td>2</td>\n      <td>-12.64</td>\n      <td>5.91</td>\n      <td>False</td>\n      <td>2358</td>\n      <td>2.41200</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>GT:AG</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>484606</th>\n      <td>0</td>\n      <td>False</td>\n      <td>False</td>\n      <td>232</td>\n      <td>24</td>\n      <td>7.66</td>\n      <td>3.89</td>\n      <td>False</td>\n      <td>498</td>\n      <td>2.04075</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>GT:AG</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>484607 rows × 25 columns</p>\n</div>"
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"data/17_selected_features_trainset.tsv\", sep=\"\\t\")\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.replace({True: 1, False: 0}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "        recount3_score  antisense_exon_start_ss  antisense_exon_end_ss  \\\n0                59151                        0                      0   \n1                61021                        0                      0   \n2                   21                        0                      0   \n3                  526                        0                      0   \n4                    0                        0                      0   \n...                ...                      ...                    ...   \n484602               0                        0                      0   \n484603           31374                        0                      0   \n484604              67                        0                      0   \n484605           18958                        0                      0   \n484606               0                        0                      0   \n\n        nearest_alt_start_ss_dist  nearest_alt_end_ss_dist  \\\n0                             170                      362   \n1                              24                      232   \n2                              24                      246   \n3                             322                      232   \n4                             322                      232   \n...                           ...                      ...   \n484602                        487                       25   \n484603                        777                      464   \n484604                        572                     2963   \n484605                       1178                        2   \n484606                        232                       24   \n\n        MaxEntScan_start_ss  MaxEntScan_end_ss  CpG_island  intron_length  \\\n0                      9.09              11.90           0            385   \n1                      7.66               3.89           0            499   \n2                      7.15               7.61           0            277   \n3                      1.14               3.89           0            168   \n4                    -12.10               7.63           0             78   \n...                     ...                ...         ...            ...   \n484602               -19.72               3.66           1            909   \n484603                 9.21              13.74           0            415   \n484604                 8.56               2.38           0           2970   \n484605               -12.64               5.91           0           2358   \n484606                 7.66               3.89           0            498   \n\n        phyloP_score  ...  repeat_features_end_site_Tandem repeats  \\\n0            5.65175  ...                                        0   \n1            1.40575  ...                                        0   \n2            5.75650  ...                                        0   \n3            5.35750  ...                                        0   \n4            3.62350  ...                                        0   \n...              ...  ...                                      ...   \n484602       0.58700  ...                                        0   \n484603       2.74250  ...                                        0   \n484604      -0.89575  ...                                        0   \n484605       2.41200  ...                                        0   \n484606       2.04075  ...                                        0   \n\n        repeat_features_end_site_LTRs  \\\n0                                   0   \n1                                   0   \n2                                   0   \n3                                   0   \n4                                   0   \n...                               ...   \n484602                              0   \n484603                              0   \n484604                              0   \n484605                              0   \n484606                              0   \n\n        repeat_features_end_site_Type I Transposons/SINE  \\\n0                                                      0   \n1                                                      0   \n2                                                      0   \n3                                                      0   \n4                                                      0   \n...                                                  ...   \n484602                                                 0   \n484603                                                 0   \n484604                                                 0   \n484605                                                 0   \n484606                                                 0   \n\n        repeat_features_end_site_Satellite repeats  \\\n0                                                0   \n1                                                0   \n2                                                0   \n3                                                0   \n4                                                0   \n...                                            ...   \n484602                                           0   \n484603                                           0   \n484604                                           0   \n484605                                           0   \n484606                                           0   \n\n        repeat_features_end_site_Type I Transposons/LINE  \\\n0                                                      0   \n1                                                      0   \n2                                                      0   \n3                                                      0   \n4                                                      0   \n...                                                  ...   \n484602                                                 0   \n484603                                                 0   \n484604                                                 0   \n484605                                                 0   \n484606                                                 0   \n\n        repeat_features_start_site_Type I Transposons/SINE  class  \\\n0                                                       0       1   \n1                                                       0       1   \n2                                                       0       1   \n3                                                       0       1   \n4                                                       0       1   \n...                                                   ...     ...   \n484602                                                  0       0   \n484603                                                  0       0   \n484604                                                  0       0   \n484605                                                  0       0   \n484606                                                  0       0   \n\n        splice_site_AT:AC  splice_site_GC:AG  splice_site_GT:AG  \n0                     0.0                0.0                1.0  \n1                     0.0                0.0                1.0  \n2                     0.0                0.0                1.0  \n3                     0.0                1.0                0.0  \n4                     0.0                0.0                1.0  \n...                   ...                ...                ...  \n484602                0.0                0.0                1.0  \n484603                0.0                0.0                1.0  \n484604                0.0                0.0                1.0  \n484605                0.0                0.0                1.0  \n484606                0.0                0.0                1.0  \n\n[484607 rows x 27 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>recount3_score</th>\n      <th>antisense_exon_start_ss</th>\n      <th>antisense_exon_end_ss</th>\n      <th>nearest_alt_start_ss_dist</th>\n      <th>nearest_alt_end_ss_dist</th>\n      <th>MaxEntScan_start_ss</th>\n      <th>MaxEntScan_end_ss</th>\n      <th>CpG_island</th>\n      <th>intron_length</th>\n      <th>phyloP_score</th>\n      <th>...</th>\n      <th>repeat_features_end_site_Tandem repeats</th>\n      <th>repeat_features_end_site_LTRs</th>\n      <th>repeat_features_end_site_Type I Transposons/SINE</th>\n      <th>repeat_features_end_site_Satellite repeats</th>\n      <th>repeat_features_end_site_Type I Transposons/LINE</th>\n      <th>repeat_features_start_site_Type I Transposons/SINE</th>\n      <th>class</th>\n      <th>splice_site_AT:AC</th>\n      <th>splice_site_GC:AG</th>\n      <th>splice_site_GT:AG</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>59151</td>\n      <td>0</td>\n      <td>0</td>\n      <td>170</td>\n      <td>362</td>\n      <td>9.09</td>\n      <td>11.90</td>\n      <td>0</td>\n      <td>385</td>\n      <td>5.65175</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>61021</td>\n      <td>0</td>\n      <td>0</td>\n      <td>24</td>\n      <td>232</td>\n      <td>7.66</td>\n      <td>3.89</td>\n      <td>0</td>\n      <td>499</td>\n      <td>1.40575</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>21</td>\n      <td>0</td>\n      <td>0</td>\n      <td>24</td>\n      <td>246</td>\n      <td>7.15</td>\n      <td>7.61</td>\n      <td>0</td>\n      <td>277</td>\n      <td>5.75650</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>526</td>\n      <td>0</td>\n      <td>0</td>\n      <td>322</td>\n      <td>232</td>\n      <td>1.14</td>\n      <td>3.89</td>\n      <td>0</td>\n      <td>168</td>\n      <td>5.35750</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>322</td>\n      <td>232</td>\n      <td>-12.10</td>\n      <td>7.63</td>\n      <td>0</td>\n      <td>78</td>\n      <td>3.62350</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>484602</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>487</td>\n      <td>25</td>\n      <td>-19.72</td>\n      <td>3.66</td>\n      <td>1</td>\n      <td>909</td>\n      <td>0.58700</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>484603</th>\n      <td>31374</td>\n      <td>0</td>\n      <td>0</td>\n      <td>777</td>\n      <td>464</td>\n      <td>9.21</td>\n      <td>13.74</td>\n      <td>0</td>\n      <td>415</td>\n      <td>2.74250</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>484604</th>\n      <td>67</td>\n      <td>0</td>\n      <td>0</td>\n      <td>572</td>\n      <td>2963</td>\n      <td>8.56</td>\n      <td>2.38</td>\n      <td>0</td>\n      <td>2970</td>\n      <td>-0.89575</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>484605</th>\n      <td>18958</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1178</td>\n      <td>2</td>\n      <td>-12.64</td>\n      <td>5.91</td>\n      <td>0</td>\n      <td>2358</td>\n      <td>2.41200</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>484606</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>232</td>\n      <td>24</td>\n      <td>7.66</td>\n      <td>3.89</td>\n      <td>0</td>\n      <td>498</td>\n      <td>2.04075</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n    </tr>\n  </tbody>\n</table>\n<p>484607 rows × 27 columns</p>\n</div>"
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ohe_splice_site = OneHotEncoder(sparse=False)\n",
    "splice_site_reshaped = df['splice_site'].values.reshape(-1, 1)\n",
    "\n",
    "\n",
    "onehot = ohe_splice_site.fit_transform(splice_site_reshaped)\n",
    "df_onehot_ss = pd.DataFrame(onehot, columns=ohe_splice_site.get_feature_names_out(['splice_site']))\n",
    "df = pd.concat([df, df_onehot_ss], axis=1)\n",
    "\n",
    "# It is already been exported in 19a\n",
    "# with open(\"model/onehot_splice_site.pkl\", \"wb\") as f:\n",
    "#     pickle.dump(ohe_splice_site, f)\n",
    "\n",
    "df = df.drop(columns=\"splice_site\")\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_annot_test_y = df.pop(\"class\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train_val = df.copy()\n",
    "y_train_val = df_annot_test_y.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "outputs": [],
   "source": [
    "params =  {'colsample_bytree': 0.9, 'learning_rate': 0.01, 'max_depth': 7, 'min_child_weight': 1, 'n_estimators': 200, 'subsample': 0.8}"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "cv_acc_list = []\n",
    "cv_ba_acc_list = []\n",
    "cv_auroc_list = []\n",
    "cv_precision_list = []\n",
    "cv_recall_list = []\n",
    "cv_mcc_list = []\n",
    "cv_specificity_list = []\n",
    "cv_sensitivity_list = []\n",
    "cv_fpr_list = []\n",
    "cv_fnr_list = []\n",
    "model_dict = {}\n",
    "model_index = 0\n",
    "cv_predicted_labels = []\n",
    "cv_true_labels = []\n",
    "matrix = []\n",
    "\n",
    "skf = StratifiedKFold(n_splits=10, shuffle=True, random_state=1)\n",
    "skf.get_n_splits(X_train_val, y_train_val)\n",
    "\n",
    "for train_index, val_index in skf.split(X_train_val, y_train_val):\n",
    "    X_train_resampled = X_train_val.iloc[train_index]\n",
    "    y_train_resampled = y_train_val.iloc[train_index].to_numpy().flatten()\n",
    "\n",
    "    X_train, X_val = X_train_resampled, X_train_val.iloc[val_index]\n",
    "    y_train, y_val = y_train_resampled, y_train_val.iloc[val_index].to_numpy().flatten()\n",
    "\n",
    "    model_dict[model_index] = XGBClassifier(random_state=2, tree_method=\"gpu_hist\", scale_pos_weight=86761/397846/2, **params)  # 86761/397846 is the ration between negative data and positive data\n",
    "    model_dict[model_index].fit(X_train, y_train)\n",
    "\n",
    "    y_predict = model_dict[model_index].predict_proba(X_val)[:, 1]\n",
    "\n",
    "    y_predict_class = model_dict[model_index].predict(X_val)\n",
    "    cv_predicted_labels += list(y_predict)\n",
    "    cv_true_labels += list(y_val)\n",
    "\n",
    "\n",
    "    test_acc = accuracy_score(y_val, y_predict_class)\n",
    "    test_auroc = roc_auc_score(y_val, y_predict)\n",
    "    test_bal_acc = balanced_accuracy_score(y_val, y_predict_class)\n",
    "    test_precision = precision_score(y_val, y_predict_class)  # tp/(tp+fp)\n",
    "    test_recall = recall_score(y_val, y_predict_class)\n",
    "    test_mcc = matthews_corrcoef(y_val, y_predict_class)\n",
    "    matrix.append(confusion_matrix(y_val, y_predict_class))\n",
    "    tn, fp, fn, tp = confusion_matrix(y_val, y_predict_class).ravel()\n",
    "\n",
    "    # Adding the metrics to their list\n",
    "    cv_acc_list.append(test_acc)\n",
    "    cv_ba_acc_list.append(test_bal_acc)\n",
    "    cv_auroc_list.append(test_auroc)\n",
    "    cv_precision_list.append(test_precision)\n",
    "    cv_mcc_list.append(test_mcc)\n",
    "    cv_recall_list.append(test_recall)\n",
    "    cv_specificity_list.append(tn / (tn + fp))\n",
    "    cv_sensitivity_list.append(tp / (fn + tp))\n",
    "    cv_fpr_list.append(fp/(fp+tn))\n",
    "    cv_fnr_list.append(fn/(fn+tp))\n",
    "    model_index += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------------------------------------------------------------------------------\n",
      "Stratified Cross-Validation Performance (* metrics of interest)\n",
      "------------------------------------------------------------------------------------------\n",
      "Accuracy: 0.9334140847016952 \n",
      "*AUCROC: 0.9798594826944615 \n",
      "*MCC: 0.7996478185583724 \n",
      "Sensitivity: 0.9336552300734889 \n",
      "Specificity: 0.9323083133191604 \n",
      "*Precision: 0.984435316763539 \n",
      "Recall: 0.9336552300734889 \n",
      "*False Positive Rate: 0.06769168668083958 \n",
      "False Negative Rate: 0.06634476992651105 \n",
      "*Balanced Accuracy: 0.9329817716963247\n",
      "------------------------------------------------------------------------------------------\n",
      "Accuracy SD: 0.0008111991329235557 \n",
      "*AUCROC SD: 0.0008211267619426452 \n",
      "*MCC SD: 0.002201281314433993 \n",
      "Sensitivity SD: 0.0009107700683614868 \n",
      "Specificity SD: 0.0019030922067121956 \n",
      "*Precision SD: 0.00043103058315932253  \n",
      "Recall SD: 0.0009107700683614868 \n",
      "*False Positive Rate SD: 0.0019030922067122026 \n",
      "False Negative Rate SD: 0.0009107700683614913 \n",
      "*Balanced Accuracy SD: 0.00104100848923145\n",
      "------------------------------------------------------------------------------------------\n"
     ]
    },
    {
     "data": {
      "text/plain": "array([[ 80888,   5873],\n       [ 26395, 371451]])"
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(\"------------------------------------------------------------------------------------------\")\n",
    "print(\"Stratified Cross-Validation Performance (* metrics of interest)\")\n",
    "print(\"------------------------------------------------------------------------------------------\")\n",
    "print(\"Accuracy: %s \\n*AUCROC: %s \\n*MCC: %s \\nSensitivity: %s \\nSpecificity: %s \\n*Precision: %s \\nRecall: %s \\n*False Positive Rate: %s \\nFalse Negative Rate: %s \\n*Balanced Accuracy: %s\" % (\n",
    "        statistics.mean(cv_acc_list), statistics.mean(cv_auroc_list), statistics.mean(cv_mcc_list),\n",
    "        statistics.mean(cv_sensitivity_list), statistics.mean(cv_specificity_list), statistics.mean(cv_precision_list), statistics.mean(cv_recall_list), statistics.mean(cv_fpr_list), statistics.mean(cv_fnr_list), statistics.mean(cv_ba_acc_list)))\n",
    "\n",
    "print(\"------------------------------------------------------------------------------------------\")\n",
    "print(\"Accuracy SD: %s \\n*AUCROC SD: %s \\n*MCC SD: %s \\nSensitivity SD: %s \\nSpecificity SD: %s \\n*Precision SD: %s  \\nRecall SD: %s \\n*False Positive Rate SD: %s \\nFalse Negative Rate SD: %s \\n*Balanced Accuracy SD: %s\" % (\n",
    "        np.std(cv_acc_list), np.std(cv_auroc_list), np.std(cv_mcc_list),\n",
    "        np.std(cv_sensitivity_list), np.std(cv_specificity_list), np.std(cv_precision_list), np.std(cv_recall_list), np.std(cv_fpr_list), np.std(cv_fnr_list), np.std(cv_ba_acc_list)))\n",
    "\n",
    "print(\"------------------------------------------------------------------------------------------\")\n",
    "\n",
    "sum(matrix)"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fpr, tpr, threshold = roc_curve(cv_true_labels, cv_predicted_labels)\n",
    "roc_auc = auc(fpr, tpr)\n",
    "\n",
    "plt.title('Receiver Operating Characteristic')\n",
    "plt.plot(fpr, tpr, 'b', label = 'AUC = %0.2f' % roc_auc)\n",
    "plt.plot([0, 1], [0, 1],'r--', label=\"AUC = 0.50\")\n",
    "plt.xlim([0, 1])\n",
    "plt.ylim([0, 1])\n",
    "plt.ylabel('True Positive Rate')\n",
    "plt.xlabel('False Positive Rate')\n",
    "plt.legend(loc='lower right')\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "# Construct ML model (high-recall mode) with all data"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "outputs": [],
   "source": [
    "final_model = XGBClassifier(random_state=3, tree_method=\"gpu_hist\", scale_pos_weight=86761/397846/2, **params)\n",
    "final_model.fit(X_train_val[['recount3_score', 'antisense_exon_start_ss', 'antisense_exon_end_ss',\n",
    "       'nearest_alt_start_ss_dist', 'nearest_alt_end_ss_dist',\n",
    "       'MaxEntScan_start_ss', 'MaxEntScan_end_ss', 'CpG_island',\n",
    "       'intron_length', 'phyloP_score', 'phastCons_score',\n",
    "       'recount3_near_start_ss_with_better_score',\n",
    "       'recount3_near_end_ss_with_better_score',\n",
    "       'repeat_features_start_site_Tandem repeats',\n",
    "       'repeat_features_start_site_LTRs',\n",
    "       'repeat_features_start_site_Satellite repeats',\n",
    "       'repeat_features_start_site_Type II Transposons',\n",
    "       'repeat_features_end_site_Tandem repeats',\n",
    "       'repeat_features_end_site_LTRs',\n",
    "       'repeat_features_end_site_Type I Transposons/SINE',\n",
    "       'repeat_features_end_site_Satellite repeats',\n",
    "       'repeat_features_end_site_Type I Transposons/LINE',\n",
    "       'repeat_features_start_site_Type I Transposons/SINE',\n",
    "       'splice_site_AT:AC', 'splice_site_GC:AG', 'splice_site_GT:AG']], y_train_val)\n",
    "\n",
    "# Save the model into pkl\n",
    "pickle.dump(final_model, open(\"model/model_standard.pkl\", \"wb\"))"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "# SHapley Additive exPlanations (SHAP) / Feature Importance Analysis"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "outputs": [],
   "source": [
    "X_train_sample = X_train_val.sample(frac=0.5, random_state=4)\n",
    "explainer = shap.TreeExplainer(final_model, X_train_val)"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "outputs": [],
   "source": [
    "pickle.dump(explainer, open(\"model/shapExplainer_standard.pkl\", \"wb\"))"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|===================| 242235/242304 [22:52<00:00]        "
     ]
    }
   ],
   "source": [
    "shap_values = explainer(X_train_sample)"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 800x950 with 2 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.summary_plot(shap_values[:,:], X_train_sample)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 800x950 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.summary_plot(shap_values[:,:], X_train_sample, plot_type=\"bar\")"
   ],
   "metadata": {
    "collapsed": false
   }
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}