diff --git a/JDWiDSDatathonTrainEDA.ipynb b/JDWiDSDatathonTrainEDA.ipynb
deleted file mode 100644
index 637a5a1..0000000
--- a/JDWiDSDatathonTrainEDA.ipynb
+++ /dev/null
@@ -1,3382 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import seaborn as sns\n",
-    "import matplotlib.pyplot as plt\n",
-    "import numpy as np\n",
-    "import pandas as pd\n",
-    "import datetime\n",
-    "import os\n",
-    "import gc\n",
-    "import random\n",
-    "import dask.dataframe as dd\n",
-    "import sys\n",
-    "import pickle\n",
-    "import timeit\n",
-    "sns.set()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Requirement already satisfied: facets in c:\\users\\jenif\\anaconda3\\lib\\site-packages (1.1.0)\n",
-      "Requirement already satisfied: html5lib>=0.95 in c:\\users\\jenif\\anaconda3\\lib\\site-packages (from facets) (1.0.1)\n",
-      "Requirement already satisfied: django>=1.4 in c:\\users\\jenif\\anaconda3\\lib\\site-packages (from facets) (3.0.2)\n",
-      "Requirement already satisfied: webencodings in c:\\users\\jenif\\anaconda3\\lib\\site-packages (from html5lib>=0.95->facets) (0.5.1)\n",
-      "Requirement already satisfied: six>=1.9 in c:\\users\\jenif\\appdata\\roaming\\python\\python37\\site-packages (from html5lib>=0.95->facets) (1.12.0)\n",
-      "Requirement already satisfied: sqlparse>=0.2.2 in c:\\users\\jenif\\anaconda3\\lib\\site-packages (from django>=1.4->facets) (0.3.0)\n",
-      "Requirement already satisfied: asgiref~=3.2 in c:\\users\\jenif\\anaconda3\\lib\\site-packages (from django>=1.4->facets) (3.2.3)\n",
-      "Requirement already satisfied: pytz in c:\\users\\jenif\\appdata\\roaming\\python\\python37\\site-packages (from django>=1.4->facets) (2019.1)\n",
-      "Note: you may need to restart the kernel to use updated packages.\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "WARNING: You are using pip version 19.2.1, however version 20.0.2 is available.\n",
-      "You should consider upgrading via the 'python -m pip install --upgrade pip' command.\n"
-     ]
-    }
-   ],
-   "source": [
-    "pip install facets\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'C:\\\\Users\\\\jenif\\\\Desktop\\\\WiDS_datathon'"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pwd"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "train = pd.read_csv('C:\\\\Users\\\\jenif\\\\Desktop\\\\WiDS_datathon\\\\training_v2.csv')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Look at Data Basics\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "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>encounter_id</th>\n",
-       "      <th>patient_id</th>\n",
-       "      <th>hospital_id</th>\n",
-       "      <th>hospital_death</th>\n",
-       "      <th>age</th>\n",
-       "      <th>bmi</th>\n",
-       "      <th>elective_surgery</th>\n",
-       "      <th>ethnicity</th>\n",
-       "      <th>gender</th>\n",
-       "      <th>height</th>\n",
-       "      <th>...</th>\n",
-       "      <th>aids</th>\n",
-       "      <th>cirrhosis</th>\n",
-       "      <th>diabetes_mellitus</th>\n",
-       "      <th>hepatic_failure</th>\n",
-       "      <th>immunosuppression</th>\n",
-       "      <th>leukemia</th>\n",
-       "      <th>lymphoma</th>\n",
-       "      <th>solid_tumor_with_metastasis</th>\n",
-       "      <th>apache_3j_bodysystem</th>\n",
-       "      <th>apache_2_bodysystem</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>66154</td>\n",
-       "      <td>25312</td>\n",
-       "      <td>118</td>\n",
-       "      <td>0</td>\n",
-       "      <td>68.0</td>\n",
-       "      <td>22.73</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Caucasian</td>\n",
-       "      <td>M</td>\n",
-       "      <td>180.3</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>Sepsis</td>\n",
-       "      <td>Cardiovascular</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>114252</td>\n",
-       "      <td>59342</td>\n",
-       "      <td>81</td>\n",
-       "      <td>0</td>\n",
-       "      <td>77.0</td>\n",
-       "      <td>27.42</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Caucasian</td>\n",
-       "      <td>F</td>\n",
-       "      <td>160.0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>Respiratory</td>\n",
-       "      <td>Respiratory</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>119783</td>\n",
-       "      <td>50777</td>\n",
-       "      <td>118</td>\n",
-       "      <td>0</td>\n",
-       "      <td>25.0</td>\n",
-       "      <td>31.95</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Caucasian</td>\n",
-       "      <td>F</td>\n",
-       "      <td>172.7</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>Metabolic</td>\n",
-       "      <td>Metabolic</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>79267</td>\n",
-       "      <td>46918</td>\n",
-       "      <td>118</td>\n",
-       "      <td>0</td>\n",
-       "      <td>81.0</td>\n",
-       "      <td>22.64</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Caucasian</td>\n",
-       "      <td>F</td>\n",
-       "      <td>165.1</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>Cardiovascular</td>\n",
-       "      <td>Cardiovascular</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>92056</td>\n",
-       "      <td>34377</td>\n",
-       "      <td>33</td>\n",
-       "      <td>0</td>\n",
-       "      <td>19.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Caucasian</td>\n",
-       "      <td>M</td>\n",
-       "      <td>188.0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>Trauma</td>\n",
-       "      <td>Trauma</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 186 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   encounter_id  patient_id  hospital_id  hospital_death   age    bmi  \\\n",
-       "0         66154       25312          118               0  68.0  22.73   \n",
-       "1        114252       59342           81               0  77.0  27.42   \n",
-       "2        119783       50777          118               0  25.0  31.95   \n",
-       "3         79267       46918          118               0  81.0  22.64   \n",
-       "4         92056       34377           33               0  19.0    NaN   \n",
-       "\n",
-       "   elective_surgery  ethnicity gender  height  ... aids cirrhosis  \\\n",
-       "0                 0  Caucasian      M   180.3  ...  0.0       0.0   \n",
-       "1                 0  Caucasian      F   160.0  ...  0.0       0.0   \n",
-       "2                 0  Caucasian      F   172.7  ...  0.0       0.0   \n",
-       "3                 1  Caucasian      F   165.1  ...  0.0       0.0   \n",
-       "4                 0  Caucasian      M   188.0  ...  0.0       0.0   \n",
-       "\n",
-       "   diabetes_mellitus hepatic_failure immunosuppression  leukemia  lymphoma  \\\n",
-       "0                1.0             0.0               0.0       0.0       0.0   \n",
-       "1                1.0             0.0               0.0       0.0       0.0   \n",
-       "2                0.0             0.0               0.0       0.0       0.0   \n",
-       "3                0.0             0.0               0.0       0.0       0.0   \n",
-       "4                0.0             0.0               0.0       0.0       0.0   \n",
-       "\n",
-       "   solid_tumor_with_metastasis  apache_3j_bodysystem  apache_2_bodysystem  \n",
-       "0                          0.0                Sepsis       Cardiovascular  \n",
-       "1                          0.0           Respiratory          Respiratory  \n",
-       "2                          0.0             Metabolic            Metabolic  \n",
-       "3                          0.0        Cardiovascular       Cardiovascular  \n",
-       "4                          0.0                Trauma               Trauma  \n",
-       "\n",
-       "[5 rows x 186 columns]"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "train.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "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>encounter_id</th>\n",
-       "      <th>patient_id</th>\n",
-       "      <th>hospital_id</th>\n",
-       "      <th>hospital_death</th>\n",
-       "      <th>age</th>\n",
-       "      <th>bmi</th>\n",
-       "      <th>elective_surgery</th>\n",
-       "      <th>height</th>\n",
-       "      <th>icu_id</th>\n",
-       "      <th>pre_icu_los_days</th>\n",
-       "      <th>...</th>\n",
-       "      <th>apache_4a_hospital_death_prob</th>\n",
-       "      <th>apache_4a_icu_death_prob</th>\n",
-       "      <th>aids</th>\n",
-       "      <th>cirrhosis</th>\n",
-       "      <th>diabetes_mellitus</th>\n",
-       "      <th>hepatic_failure</th>\n",
-       "      <th>immunosuppression</th>\n",
-       "      <th>leukemia</th>\n",
-       "      <th>lymphoma</th>\n",
-       "      <th>solid_tumor_with_metastasis</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>count</th>\n",
-       "      <td>91713.000000</td>\n",
-       "      <td>91713.000000</td>\n",
-       "      <td>91713.000000</td>\n",
-       "      <td>91713.000000</td>\n",
-       "      <td>87485.000000</td>\n",
-       "      <td>88284.000000</td>\n",
-       "      <td>91713.000000</td>\n",
-       "      <td>90379.000000</td>\n",
-       "      <td>91713.000000</td>\n",
-       "      <td>91713.000000</td>\n",
-       "      <td>...</td>\n",
-       "      <td>83766.000000</td>\n",
-       "      <td>83766.000000</td>\n",
-       "      <td>90998.000000</td>\n",
-       "      <td>90998.000000</td>\n",
-       "      <td>90998.000000</td>\n",
-       "      <td>90998.000000</td>\n",
-       "      <td>90998.000000</td>\n",
-       "      <td>90998.000000</td>\n",
-       "      <td>90998.000000</td>\n",
-       "      <td>90998.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>mean</th>\n",
-       "      <td>65606.079280</td>\n",
-       "      <td>65537.131464</td>\n",
-       "      <td>105.669262</td>\n",
-       "      <td>0.086302</td>\n",
-       "      <td>62.309516</td>\n",
-       "      <td>29.185818</td>\n",
-       "      <td>0.183736</td>\n",
-       "      <td>169.641588</td>\n",
-       "      <td>508.357692</td>\n",
-       "      <td>0.835766</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.086787</td>\n",
-       "      <td>0.043955</td>\n",
-       "      <td>0.000857</td>\n",
-       "      <td>0.015693</td>\n",
-       "      <td>0.225192</td>\n",
-       "      <td>0.012989</td>\n",
-       "      <td>0.026165</td>\n",
-       "      <td>0.007066</td>\n",
-       "      <td>0.004132</td>\n",
-       "      <td>0.020638</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>std</th>\n",
-       "      <td>37795.088538</td>\n",
-       "      <td>37811.252183</td>\n",
-       "      <td>62.854406</td>\n",
-       "      <td>0.280811</td>\n",
-       "      <td>16.775119</td>\n",
-       "      <td>8.275142</td>\n",
-       "      <td>0.387271</td>\n",
-       "      <td>10.795378</td>\n",
-       "      <td>228.989661</td>\n",
-       "      <td>2.487756</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.247569</td>\n",
-       "      <td>0.217341</td>\n",
-       "      <td>0.029265</td>\n",
-       "      <td>0.124284</td>\n",
-       "      <td>0.417711</td>\n",
-       "      <td>0.113229</td>\n",
-       "      <td>0.159628</td>\n",
-       "      <td>0.083763</td>\n",
-       "      <td>0.064148</td>\n",
-       "      <td>0.142169</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>min</th>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>2.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>16.000000</td>\n",
-       "      <td>14.844926</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>137.200000</td>\n",
-       "      <td>82.000000</td>\n",
-       "      <td>-24.947222</td>\n",
-       "      <td>...</td>\n",
-       "      <td>-1.000000</td>\n",
-       "      <td>-1.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25%</th>\n",
-       "      <td>32852.000000</td>\n",
-       "      <td>32830.000000</td>\n",
-       "      <td>47.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>52.000000</td>\n",
-       "      <td>23.641975</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>162.500000</td>\n",
-       "      <td>369.000000</td>\n",
-       "      <td>0.035417</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.020000</td>\n",
-       "      <td>0.010000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>50%</th>\n",
-       "      <td>65665.000000</td>\n",
-       "      <td>65413.000000</td>\n",
-       "      <td>109.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>65.000000</td>\n",
-       "      <td>27.654655</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>170.100000</td>\n",
-       "      <td>504.000000</td>\n",
-       "      <td>0.138889</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.050000</td>\n",
-       "      <td>0.020000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>75%</th>\n",
-       "      <td>98342.000000</td>\n",
-       "      <td>98298.000000</td>\n",
-       "      <td>161.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>75.000000</td>\n",
-       "      <td>32.930206</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>177.800000</td>\n",
-       "      <td>679.000000</td>\n",
-       "      <td>0.409028</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.130000</td>\n",
-       "      <td>0.060000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>max</th>\n",
-       "      <td>131051.000000</td>\n",
-       "      <td>131051.000000</td>\n",
-       "      <td>204.000000</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>89.000000</td>\n",
-       "      <td>67.814990</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>195.590000</td>\n",
-       "      <td>927.000000</td>\n",
-       "      <td>159.090972</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.990000</td>\n",
-       "      <td>0.970000</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>1.000000</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>8 rows × 178 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        encounter_id     patient_id   hospital_id  hospital_death  \\\n",
-       "count   91713.000000   91713.000000  91713.000000    91713.000000   \n",
-       "mean    65606.079280   65537.131464    105.669262        0.086302   \n",
-       "std     37795.088538   37811.252183     62.854406        0.280811   \n",
-       "min         1.000000       1.000000      2.000000        0.000000   \n",
-       "25%     32852.000000   32830.000000     47.000000        0.000000   \n",
-       "50%     65665.000000   65413.000000    109.000000        0.000000   \n",
-       "75%     98342.000000   98298.000000    161.000000        0.000000   \n",
-       "max    131051.000000  131051.000000    204.000000        1.000000   \n",
-       "\n",
-       "                age           bmi  elective_surgery        height  \\\n",
-       "count  87485.000000  88284.000000      91713.000000  90379.000000   \n",
-       "mean      62.309516     29.185818          0.183736    169.641588   \n",
-       "std       16.775119      8.275142          0.387271     10.795378   \n",
-       "min       16.000000     14.844926          0.000000    137.200000   \n",
-       "25%       52.000000     23.641975          0.000000    162.500000   \n",
-       "50%       65.000000     27.654655          0.000000    170.100000   \n",
-       "75%       75.000000     32.930206          0.000000    177.800000   \n",
-       "max       89.000000     67.814990          1.000000    195.590000   \n",
-       "\n",
-       "             icu_id  pre_icu_los_days  ...  apache_4a_hospital_death_prob  \\\n",
-       "count  91713.000000      91713.000000  ...                   83766.000000   \n",
-       "mean     508.357692          0.835766  ...                       0.086787   \n",
-       "std      228.989661          2.487756  ...                       0.247569   \n",
-       "min       82.000000        -24.947222  ...                      -1.000000   \n",
-       "25%      369.000000          0.035417  ...                       0.020000   \n",
-       "50%      504.000000          0.138889  ...                       0.050000   \n",
-       "75%      679.000000          0.409028  ...                       0.130000   \n",
-       "max      927.000000        159.090972  ...                       0.990000   \n",
-       "\n",
-       "       apache_4a_icu_death_prob          aids     cirrhosis  \\\n",
-       "count              83766.000000  90998.000000  90998.000000   \n",
-       "mean                   0.043955      0.000857      0.015693   \n",
-       "std                    0.217341      0.029265      0.124284   \n",
-       "min                   -1.000000      0.000000      0.000000   \n",
-       "25%                    0.010000      0.000000      0.000000   \n",
-       "50%                    0.020000      0.000000      0.000000   \n",
-       "75%                    0.060000      0.000000      0.000000   \n",
-       "max                    0.970000      1.000000      1.000000   \n",
-       "\n",
-       "       diabetes_mellitus  hepatic_failure  immunosuppression      leukemia  \\\n",
-       "count       90998.000000     90998.000000       90998.000000  90998.000000   \n",
-       "mean            0.225192         0.012989           0.026165      0.007066   \n",
-       "std             0.417711         0.113229           0.159628      0.083763   \n",
-       "min             0.000000         0.000000           0.000000      0.000000   \n",
-       "25%             0.000000         0.000000           0.000000      0.000000   \n",
-       "50%             0.000000         0.000000           0.000000      0.000000   \n",
-       "75%             0.000000         0.000000           0.000000      0.000000   \n",
-       "max             1.000000         1.000000           1.000000      1.000000   \n",
-       "\n",
-       "           lymphoma  solid_tumor_with_metastasis  \n",
-       "count  90998.000000                 90998.000000  \n",
-       "mean       0.004132                     0.020638  \n",
-       "std        0.064148                     0.142169  \n",
-       "min        0.000000                     0.000000  \n",
-       "25%        0.000000                     0.000000  \n",
-       "50%        0.000000                     0.000000  \n",
-       "75%        0.000000                     0.000000  \n",
-       "max        1.000000                     1.000000  \n",
-       "\n",
-       "[8 rows x 178 columns]"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "train.describe()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<class 'pandas.core.frame.DataFrame'>\n",
-      "RangeIndex: 91713 entries, 0 to 91712\n",
-      "Data columns (total 186 columns):\n",
-      "encounter_id                     int64\n",
-      "patient_id                       int64\n",
-      "hospital_id                      int64\n",
-      "hospital_death                   int64\n",
-      "age                              float64\n",
-      "bmi                              float64\n",
-      "elective_surgery                 int64\n",
-      "ethnicity                        object\n",
-      "gender                           object\n",
-      "height                           float64\n",
-      "hospital_admit_source            object\n",
-      "icu_admit_source                 object\n",
-      "icu_id                           int64\n",
-      "icu_stay_type                    object\n",
-      "icu_type                         object\n",
-      "pre_icu_los_days                 float64\n",
-      "readmission_status               int64\n",
-      "weight                           float64\n",
-      "albumin_apache                   float64\n",
-      "apache_2_diagnosis               float64\n",
-      "apache_3j_diagnosis              float64\n",
-      "apache_post_operative            int64\n",
-      "arf_apache                       float64\n",
-      "bilirubin_apache                 float64\n",
-      "bun_apache                       float64\n",
-      "creatinine_apache                float64\n",
-      "fio2_apache                      float64\n",
-      "gcs_eyes_apache                  float64\n",
-      "gcs_motor_apache                 float64\n",
-      "gcs_unable_apache                float64\n",
-      "gcs_verbal_apache                float64\n",
-      "glucose_apache                   float64\n",
-      "heart_rate_apache                float64\n",
-      "hematocrit_apache                float64\n",
-      "intubated_apache                 float64\n",
-      "map_apache                       float64\n",
-      "paco2_apache                     float64\n",
-      "paco2_for_ph_apache              float64\n",
-      "pao2_apache                      float64\n",
-      "ph_apache                        float64\n",
-      "resprate_apache                  float64\n",
-      "sodium_apache                    float64\n",
-      "temp_apache                      float64\n",
-      "urineoutput_apache               float64\n",
-      "ventilated_apache                float64\n",
-      "wbc_apache                       float64\n",
-      "d1_diasbp_invasive_max           float64\n",
-      "d1_diasbp_invasive_min           float64\n",
-      "d1_diasbp_max                    float64\n",
-      "d1_diasbp_min                    float64\n",
-      "d1_diasbp_noninvasive_max        float64\n",
-      "d1_diasbp_noninvasive_min        float64\n",
-      "d1_heartrate_max                 float64\n",
-      "d1_heartrate_min                 float64\n",
-      "d1_mbp_invasive_max              float64\n",
-      "d1_mbp_invasive_min              float64\n",
-      "d1_mbp_max                       float64\n",
-      "d1_mbp_min                       float64\n",
-      "d1_mbp_noninvasive_max           float64\n",
-      "d1_mbp_noninvasive_min           float64\n",
-      "d1_resprate_max                  float64\n",
-      "d1_resprate_min                  float64\n",
-      "d1_spo2_max                      float64\n",
-      "d1_spo2_min                      float64\n",
-      "d1_sysbp_invasive_max            float64\n",
-      "d1_sysbp_invasive_min            float64\n",
-      "d1_sysbp_max                     float64\n",
-      "d1_sysbp_min                     float64\n",
-      "d1_sysbp_noninvasive_max         float64\n",
-      "d1_sysbp_noninvasive_min         float64\n",
-      "d1_temp_max                      float64\n",
-      "d1_temp_min                      float64\n",
-      "h1_diasbp_invasive_max           float64\n",
-      "h1_diasbp_invasive_min           float64\n",
-      "h1_diasbp_max                    float64\n",
-      "h1_diasbp_min                    float64\n",
-      "h1_diasbp_noninvasive_max        float64\n",
-      "h1_diasbp_noninvasive_min        float64\n",
-      "h1_heartrate_max                 float64\n",
-      "h1_heartrate_min                 float64\n",
-      "h1_mbp_invasive_max              float64\n",
-      "h1_mbp_invasive_min              float64\n",
-      "h1_mbp_max                       float64\n",
-      "h1_mbp_min                       float64\n",
-      "h1_mbp_noninvasive_max           float64\n",
-      "h1_mbp_noninvasive_min           float64\n",
-      "h1_resprate_max                  float64\n",
-      "h1_resprate_min                  float64\n",
-      "h1_spo2_max                      float64\n",
-      "h1_spo2_min                      float64\n",
-      "h1_sysbp_invasive_max            float64\n",
-      "h1_sysbp_invasive_min            float64\n",
-      "h1_sysbp_max                     float64\n",
-      "h1_sysbp_min                     float64\n",
-      "h1_sysbp_noninvasive_max         float64\n",
-      "h1_sysbp_noninvasive_min         float64\n",
-      "h1_temp_max                      float64\n",
-      "h1_temp_min                      float64\n",
-      "d1_albumin_max                   float64\n",
-      "d1_albumin_min                   float64\n",
-      "d1_bilirubin_max                 float64\n",
-      "d1_bilirubin_min                 float64\n",
-      "d1_bun_max                       float64\n",
-      "d1_bun_min                       float64\n",
-      "d1_calcium_max                   float64\n",
-      "d1_calcium_min                   float64\n",
-      "d1_creatinine_max                float64\n",
-      "d1_creatinine_min                float64\n",
-      "d1_glucose_max                   float64\n",
-      "d1_glucose_min                   float64\n",
-      "d1_hco3_max                      float64\n",
-      "d1_hco3_min                      float64\n",
-      "d1_hemaglobin_max                float64\n",
-      "d1_hemaglobin_min                float64\n",
-      "d1_hematocrit_max                float64\n",
-      "d1_hematocrit_min                float64\n",
-      "d1_inr_max                       float64\n",
-      "d1_inr_min                       float64\n",
-      "d1_lactate_max                   float64\n",
-      "d1_lactate_min                   float64\n",
-      "d1_platelets_max                 float64\n",
-      "d1_platelets_min                 float64\n",
-      "d1_potassium_max                 float64\n",
-      "d1_potassium_min                 float64\n",
-      "d1_sodium_max                    float64\n",
-      "d1_sodium_min                    float64\n",
-      "d1_wbc_max                       float64\n",
-      "d1_wbc_min                       float64\n",
-      "h1_albumin_max                   float64\n",
-      "h1_albumin_min                   float64\n",
-      "h1_bilirubin_max                 float64\n",
-      "h1_bilirubin_min                 float64\n",
-      "h1_bun_max                       float64\n",
-      "h1_bun_min                       float64\n",
-      "h1_calcium_max                   float64\n",
-      "h1_calcium_min                   float64\n",
-      "h1_creatinine_max                float64\n",
-      "h1_creatinine_min                float64\n",
-      "h1_glucose_max                   float64\n",
-      "h1_glucose_min                   float64\n",
-      "h1_hco3_max                      float64\n",
-      "h1_hco3_min                      float64\n",
-      "h1_hemaglobin_max                float64\n",
-      "h1_hemaglobin_min                float64\n",
-      "h1_hematocrit_max                float64\n",
-      "h1_hematocrit_min                float64\n",
-      "h1_inr_max                       float64\n",
-      "h1_inr_min                       float64\n",
-      "h1_lactate_max                   float64\n",
-      "h1_lactate_min                   float64\n",
-      "h1_platelets_max                 float64\n",
-      "h1_platelets_min                 float64\n",
-      "h1_potassium_max                 float64\n",
-      "h1_potassium_min                 float64\n",
-      "h1_sodium_max                    float64\n",
-      "h1_sodium_min                    float64\n",
-      "h1_wbc_max                       float64\n",
-      "h1_wbc_min                       float64\n",
-      "d1_arterial_pco2_max             float64\n",
-      "d1_arterial_pco2_min             float64\n",
-      "d1_arterial_ph_max               float64\n",
-      "d1_arterial_ph_min               float64\n",
-      "d1_arterial_po2_max              float64\n",
-      "d1_arterial_po2_min              float64\n",
-      "d1_pao2fio2ratio_max             float64\n",
-      "d1_pao2fio2ratio_min             float64\n",
-      "h1_arterial_pco2_max             float64\n",
-      "h1_arterial_pco2_min             float64\n",
-      "h1_arterial_ph_max               float64\n",
-      "h1_arterial_ph_min               float64\n",
-      "h1_arterial_po2_max              float64\n",
-      "h1_arterial_po2_min              float64\n",
-      "h1_pao2fio2ratio_max             float64\n",
-      "h1_pao2fio2ratio_min             float64\n",
-      "apache_4a_hospital_death_prob    float64\n",
-      "apache_4a_icu_death_prob         float64\n",
-      "aids                             float64\n",
-      "cirrhosis                        float64\n",
-      "diabetes_mellitus                float64\n",
-      "hepatic_failure                  float64\n",
-      "immunosuppression                float64\n",
-      "leukemia                         float64\n",
-      "lymphoma                         float64\n",
-      "solid_tumor_with_metastasis      float64\n",
-      "apache_3j_bodysystem             object\n",
-      "apache_2_bodysystem              object\n",
-      "dtypes: float64(170), int64(8), object(8)\n",
-      "memory usage: 130.1+ MB\n"
-     ]
-    }
-   ],
-   "source": [
-    "train.info(verbose=True)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "There are 175 columns in train dataset with missing values.\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(f'There are {train.isnull().any().sum()} columns in train dataset with missing values.')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Identifiers\n",
-    "Assesing balance counts of identifiers...\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "For column encounter_id\n",
-      "2047      1\n",
-      "60040     1\n",
-      "117356    1\n",
-      "121454    1\n",
-      "76400     1\n",
-      "         ..\n",
-      "32037     1\n",
-      "25894     1\n",
-      "27943     1\n",
-      "5416      1\n",
-      "2049      1\n",
-      "Name: encounter_id, Length: 91713, dtype: int64\n",
-      "\n",
-      "For column hospital_id\n",
-      "118    4333\n",
-      "19     3925\n",
-      "188    3095\n",
-      "161    2792\n",
-      "70     2754\n",
-      "       ... \n",
-      "4         7\n",
-      "23        7\n",
-      "93        6\n",
-      "95        6\n",
-      "130       2\n",
-      "Name: hospital_id, Length: 147, dtype: int64\n",
-      "\n",
-      "For column patient_id\n",
-      "8188     1\n",
-      "10960    1\n",
-      "66229    1\n",
-      "72374    1\n",
-      "92856    1\n",
-      "        ..\n",
-      "70984    1\n",
-      "73033    1\n",
-      "68939    1\n",
-      "79180    1\n",
-      "4098     1\n",
-      "Name: patient_id, Length: 91713, dtype: int64\n",
-      "\n",
-      "For column icu_id\n",
-      "646    1325\n",
-      "653    1307\n",
-      "876    1284\n",
-      "413    1239\n",
-      "236    1140\n",
-      "       ... \n",
-      "494       3\n",
-      "302       2\n",
-      "603       2\n",
-      "365       2\n",
-      "241       1\n",
-      "Name: icu_id, Length: 241, dtype: int64\n"
-     ]
-    }
-   ],
-   "source": [
-    "def count_unique(train, cols):\n",
-    "    for col in cols:\n",
-    "        print('\\n' + 'For column ' + col)\n",
-    "        print(train[col].value_counts())\n",
-    "\n",
-    "cat_cols = ['encounter_id', 'hospital_id', 'patient_id', 'icu_id']\n",
-    "count_unique(train, cat_cols)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "It appears that each encounter is a different patient as there are the same number of encounters as patients.  There are 147 unique hospitals that range from 4333 of the encounters to 2 encounters.  Hospitals with low levels of encounters will have less reliable data.  Let's take a look at the distribution amongst hospital ID... "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1440x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "def plot_bars(train, cols):\n",
-    "    for col in cols:\n",
-    "        fig = plt.figure(figsize=(20,6)) #define plot area\n",
-    "        ax = fig.gca() #define axis\n",
-    "        counts = train[col].value_counts() #find the counts for each unique category\n",
-    "        counts.plot.bar(ax = ax, color = 'blue') #Use the plot.bar method on the counts data frame\n",
-    "        ax.set_title('Number of Encounters by ' + col) #Give the plot a main title\n",
-    "        ax.set_xlabel(col) #Set text for the x axis\n",
-    "        ax.set_ylabel('Number of Encounters') #Set text for y axis\n",
-    "        plt.show()\n",
-    "        \n",
-    "plot_cols = ['hospital_id']\n",
-    "plot_bars(train, plot_cols)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "118    4333\n",
-       "19     3925\n",
-       "188    3095\n",
-       "161    2792\n",
-       "70     2754\n",
-       "       ... \n",
-       "4         7\n",
-       "23        7\n",
-       "93        6\n",
-       "95        6\n",
-       "130       2\n",
-       "Name: hospital_id, Length: 147, dtype: int64"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "counts = train['hospital_id'].value_counts()\n",
-    "counts"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "198    29\n",
-       "66     22\n",
-       "129    19\n",
-       "183    17\n",
-       "3      16\n",
-       "68     15\n",
-       "72     15\n",
-       "74     13\n",
-       "84     12\n",
-       "167    10\n",
-       "38     10\n",
-       "124     9\n",
-       "4       7\n",
-       "23      7\n",
-       "93      6\n",
-       "95      6\n",
-       "130     2\n",
-       "Name: hospital_id, dtype: int64"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "counts[counts < 30]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "So 11.56% of the hospitals have less than 30 encounters. (Seventeen/147.)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1440x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "#Let's look at the same for icu_id\n",
-    "def plot_bars(train, cols):\n",
-    "    for col in cols:\n",
-    "        fig = plt.figure(figsize=(20,6)) #define plot area\n",
-    "        ax = fig.gca() #define axis\n",
-    "        counts = train[col].value_counts() #find the counts for each unique category\n",
-    "        counts.plot.bar(ax = ax, color = 'blue') #Use the plot.bar method on the counts data frame\n",
-    "        ax.set_title('Number of Encounters by ' + col) #Give the plot a main title\n",
-    "        ax.set_xlabel(col) #Set text for the x axis\n",
-    "        ax.set_ylabel('Number of Encounters') #Set text for y axis\n",
-    "        plt.show()\n",
-    "        \n",
-    "plot_cols = ['icu_id']\n",
-    "plot_bars(train, plot_cols)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "646    1325\n",
-       "653    1307\n",
-       "876    1284\n",
-       "413    1239\n",
-       "236    1140\n",
-       "       ... \n",
-       "494       3\n",
-       "302       2\n",
-       "603       2\n",
-       "365       2\n",
-       "241       1\n",
-       "Name: icu_id, Length: 241, dtype: int64"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "counts_icu = train['icu_id'].value_counts()\n",
-    "counts_icu"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "125    29\n",
-       "187    26\n",
-       "922    22\n",
-       "338    19\n",
-       "135    19\n",
-       "909    17\n",
-       "917    16\n",
-       "134    15\n",
-       "389    15\n",
-       "144    13\n",
-       "677    12\n",
-       "547    11\n",
-       "823    10\n",
-       "903    10\n",
-       "552     9\n",
-       "158     9\n",
-       "242     8\n",
-       "534     8\n",
-       "398     7\n",
-       "153     7\n",
-       "654     6\n",
-       "230     6\n",
-       "680     5\n",
-       "531     4\n",
-       "494     3\n",
-       "302     2\n",
-       "603     2\n",
-       "365     2\n",
-       "241     1\n",
-       "Name: icu_id, dtype: int64"
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "counts_icu[counts_icu < 30]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "12.03% of ICUs have less than 30 encounters.(29/241)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "encounter_id                      0\n",
-       "patient_id                        0\n",
-       "hospital_id                       0\n",
-       "hospital_death                    0\n",
-       "age                            4228\n",
-       "                               ... \n",
-       "leukemia                        715\n",
-       "lymphoma                        715\n",
-       "solid_tumor_with_metastasis     715\n",
-       "apache_3j_bodysystem           1662\n",
-       "apache_2_bodysystem            1662\n",
-       "Length: 186, dtype: int64"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "train.isnull().sum(axis=0)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(91713, 184)\n"
-     ]
-    },
-    {
-     "data": {
-      "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>hospital_id</th>\n",
-       "      <th>hospital_death</th>\n",
-       "      <th>age</th>\n",
-       "      <th>bmi</th>\n",
-       "      <th>elective_surgery</th>\n",
-       "      <th>ethnicity</th>\n",
-       "      <th>gender</th>\n",
-       "      <th>height</th>\n",
-       "      <th>hospital_admit_source</th>\n",
-       "      <th>icu_admit_source</th>\n",
-       "      <th>...</th>\n",
-       "      <th>aids</th>\n",
-       "      <th>cirrhosis</th>\n",
-       "      <th>diabetes_mellitus</th>\n",
-       "      <th>hepatic_failure</th>\n",
-       "      <th>immunosuppression</th>\n",
-       "      <th>leukemia</th>\n",
-       "      <th>lymphoma</th>\n",
-       "      <th>solid_tumor_with_metastasis</th>\n",
-       "      <th>apache_3j_bodysystem</th>\n",
-       "      <th>apache_2_bodysystem</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>118</td>\n",
-       "      <td>0</td>\n",
-       "      <td>68.0</td>\n",
-       "      <td>22.73</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Caucasian</td>\n",
-       "      <td>M</td>\n",
-       "      <td>180.3</td>\n",
-       "      <td>Floor</td>\n",
-       "      <td>Floor</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>Sepsis</td>\n",
-       "      <td>Cardiovascular</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>81</td>\n",
-       "      <td>0</td>\n",
-       "      <td>77.0</td>\n",
-       "      <td>27.42</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Caucasian</td>\n",
-       "      <td>F</td>\n",
-       "      <td>160.0</td>\n",
-       "      <td>Floor</td>\n",
-       "      <td>Floor</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>Respiratory</td>\n",
-       "      <td>Respiratory</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>118</td>\n",
-       "      <td>0</td>\n",
-       "      <td>25.0</td>\n",
-       "      <td>31.95</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Caucasian</td>\n",
-       "      <td>F</td>\n",
-       "      <td>172.7</td>\n",
-       "      <td>Emergency Department</td>\n",
-       "      <td>Accident &amp; Emergency</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>Metabolic</td>\n",
-       "      <td>Metabolic</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>118</td>\n",
-       "      <td>0</td>\n",
-       "      <td>81.0</td>\n",
-       "      <td>22.64</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Caucasian</td>\n",
-       "      <td>F</td>\n",
-       "      <td>165.1</td>\n",
-       "      <td>Operating Room</td>\n",
-       "      <td>Operating Room / Recovery</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>Cardiovascular</td>\n",
-       "      <td>Cardiovascular</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>33</td>\n",
-       "      <td>0</td>\n",
-       "      <td>19.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Caucasian</td>\n",
-       "      <td>M</td>\n",
-       "      <td>188.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Accident &amp; Emergency</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>Trauma</td>\n",
-       "      <td>Trauma</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 184 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   hospital_id  hospital_death   age    bmi  elective_surgery  ethnicity  \\\n",
-       "0          118               0  68.0  22.73                 0  Caucasian   \n",
-       "1           81               0  77.0  27.42                 0  Caucasian   \n",
-       "2          118               0  25.0  31.95                 0  Caucasian   \n",
-       "3          118               0  81.0  22.64                 1  Caucasian   \n",
-       "4           33               0  19.0    NaN                 0  Caucasian   \n",
-       "\n",
-       "  gender  height hospital_admit_source           icu_admit_source  ...  aids  \\\n",
-       "0      M   180.3                 Floor                      Floor  ...   0.0   \n",
-       "1      F   160.0                 Floor                      Floor  ...   0.0   \n",
-       "2      F   172.7  Emergency Department       Accident & Emergency  ...   0.0   \n",
-       "3      F   165.1        Operating Room  Operating Room / Recovery  ...   0.0   \n",
-       "4      M   188.0                   NaN       Accident & Emergency  ...   0.0   \n",
-       "\n",
-       "  cirrhosis diabetes_mellitus  hepatic_failure  immunosuppression  leukemia  \\\n",
-       "0       0.0               1.0              0.0                0.0       0.0   \n",
-       "1       0.0               1.0              0.0                0.0       0.0   \n",
-       "2       0.0               0.0              0.0                0.0       0.0   \n",
-       "3       0.0               0.0              0.0                0.0       0.0   \n",
-       "4       0.0               0.0              0.0                0.0       0.0   \n",
-       "\n",
-       "   lymphoma  solid_tumor_with_metastasis  apache_3j_bodysystem  \\\n",
-       "0       0.0                          0.0                Sepsis   \n",
-       "1       0.0                          0.0           Respiratory   \n",
-       "2       0.0                          0.0             Metabolic   \n",
-       "3       0.0                          0.0        Cardiovascular   \n",
-       "4       0.0                          0.0                Trauma   \n",
-       "\n",
-       "   apache_2_bodysystem  \n",
-       "0       Cardiovascular  \n",
-       "1          Respiratory  \n",
-       "2            Metabolic  \n",
-       "3       Cardiovascular  \n",
-       "4               Trauma  \n",
-       "\n",
-       "[5 rows x 184 columns]"
-      ]
-     },
-     "execution_count": 18,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "#Dropping encounter_id and patient_id as they are identifiers and not a features\n",
-    "train.drop(['encounter_id', 'patient_id'], axis=1,inplace=True)\n",
-    "print(train.shape)\n",
-    "train.head()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Missing Data\n",
-    "There are a substantial number of features with a great deal of missing data.  There seems to be a cut off at about 50% missing data.  However it's possible that there are some features where the data being missing could be a predictor of hospital death.  Therefore, NAs of the features were examined against hospital_death separately in PowerBI to see if there were any features with missing data that actually may predict death.  (See WiDS Datathon Notes)  Most features showed a highter rate of life than death amongst the NAs.  There were a handful that a small opposite effect was seen:  h1_diasbp_invasive_max, h1_diasbp_invasive_min, h1_sysbp_invasive_max and min, h1mbp_invasive_max and min, as well as the urineoutput_apache. The remainder of the high missing value features are dropped from the database below.\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(91713, 118)\n"
-     ]
-    },
-    {
-     "data": {
-      "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>hospital_id</th>\n",
-       "      <th>hospital_death</th>\n",
-       "      <th>age</th>\n",
-       "      <th>bmi</th>\n",
-       "      <th>elective_surgery</th>\n",
-       "      <th>ethnicity</th>\n",
-       "      <th>gender</th>\n",
-       "      <th>height</th>\n",
-       "      <th>hospital_admit_source</th>\n",
-       "      <th>icu_admit_source</th>\n",
-       "      <th>...</th>\n",
-       "      <th>aids</th>\n",
-       "      <th>cirrhosis</th>\n",
-       "      <th>diabetes_mellitus</th>\n",
-       "      <th>hepatic_failure</th>\n",
-       "      <th>immunosuppression</th>\n",
-       "      <th>leukemia</th>\n",
-       "      <th>lymphoma</th>\n",
-       "      <th>solid_tumor_with_metastasis</th>\n",
-       "      <th>apache_3j_bodysystem</th>\n",
-       "      <th>apache_2_bodysystem</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>118</td>\n",
-       "      <td>0</td>\n",
-       "      <td>68.0</td>\n",
-       "      <td>22.73</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Caucasian</td>\n",
-       "      <td>M</td>\n",
-       "      <td>180.3</td>\n",
-       "      <td>Floor</td>\n",
-       "      <td>Floor</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>Sepsis</td>\n",
-       "      <td>Cardiovascular</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>81</td>\n",
-       "      <td>0</td>\n",
-       "      <td>77.0</td>\n",
-       "      <td>27.42</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Caucasian</td>\n",
-       "      <td>F</td>\n",
-       "      <td>160.0</td>\n",
-       "      <td>Floor</td>\n",
-       "      <td>Floor</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>Respiratory</td>\n",
-       "      <td>Respiratory</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>118</td>\n",
-       "      <td>0</td>\n",
-       "      <td>25.0</td>\n",
-       "      <td>31.95</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Caucasian</td>\n",
-       "      <td>F</td>\n",
-       "      <td>172.7</td>\n",
-       "      <td>Emergency Department</td>\n",
-       "      <td>Accident &amp; Emergency</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>Metabolic</td>\n",
-       "      <td>Metabolic</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>118</td>\n",
-       "      <td>0</td>\n",
-       "      <td>81.0</td>\n",
-       "      <td>22.64</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Caucasian</td>\n",
-       "      <td>F</td>\n",
-       "      <td>165.1</td>\n",
-       "      <td>Operating Room</td>\n",
-       "      <td>Operating Room / Recovery</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>Cardiovascular</td>\n",
-       "      <td>Cardiovascular</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>33</td>\n",
-       "      <td>0</td>\n",
-       "      <td>19.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Caucasian</td>\n",
-       "      <td>M</td>\n",
-       "      <td>188.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Accident &amp; Emergency</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>Trauma</td>\n",
-       "      <td>Trauma</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 118 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   hospital_id  hospital_death   age    bmi  elective_surgery  ethnicity  \\\n",
-       "0          118               0  68.0  22.73                 0  Caucasian   \n",
-       "1           81               0  77.0  27.42                 0  Caucasian   \n",
-       "2          118               0  25.0  31.95                 0  Caucasian   \n",
-       "3          118               0  81.0  22.64                 1  Caucasian   \n",
-       "4           33               0  19.0    NaN                 0  Caucasian   \n",
-       "\n",
-       "  gender  height hospital_admit_source           icu_admit_source  ...  aids  \\\n",
-       "0      M   180.3                 Floor                      Floor  ...   0.0   \n",
-       "1      F   160.0                 Floor                      Floor  ...   0.0   \n",
-       "2      F   172.7  Emergency Department       Accident & Emergency  ...   0.0   \n",
-       "3      F   165.1        Operating Room  Operating Room / Recovery  ...   0.0   \n",
-       "4      M   188.0                   NaN       Accident & Emergency  ...   0.0   \n",
-       "\n",
-       "  cirrhosis diabetes_mellitus  hepatic_failure  immunosuppression  leukemia  \\\n",
-       "0       0.0               1.0              0.0                0.0       0.0   \n",
-       "1       0.0               1.0              0.0                0.0       0.0   \n",
-       "2       0.0               0.0              0.0                0.0       0.0   \n",
-       "3       0.0               0.0              0.0                0.0       0.0   \n",
-       "4       0.0               0.0              0.0                0.0       0.0   \n",
-       "\n",
-       "   lymphoma  solid_tumor_with_metastasis  apache_3j_bodysystem  \\\n",
-       "0       0.0                          0.0                Sepsis   \n",
-       "1       0.0                          0.0           Respiratory   \n",
-       "2       0.0                          0.0             Metabolic   \n",
-       "3       0.0                          0.0        Cardiovascular   \n",
-       "4       0.0                          0.0                Trauma   \n",
-       "\n",
-       "   apache_2_bodysystem  \n",
-       "0       Cardiovascular  \n",
-       "1          Respiratory  \n",
-       "2            Metabolic  \n",
-       "3       Cardiovascular  \n",
-       "4               Trauma  \n",
-       "\n",
-       "[5 rows x 118 columns]"
-      ]
-     },
-     "execution_count": 19,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "#From visualization in Power BI on comparing the rates of Hospital death verses life in the NAs, I will drop the following features\n",
-    "train.drop(['h1_bilirubin_min', 'h1_lactate_max', 'h1_lactate_min','h1_albumin_max', 'h1_albumin_min',\n",
-    "            'h1_pao2fio2ratio_max', 'h1_pao2fio2ratio_min', 'h1_arterial_ph_max', 'h1_arterial_ph_min', 'h1_hco3_max',\n",
-    "            'h1_hco3_min', 'h1_arterial_pco2_max', 'h1_arterial_pco2_min', 'h1_wbc_max', 'h1_wbc_min', 'h1_arterial_po2_max',\n",
-    "            'h1_arterial_po2_min', 'h1_calcium_max', 'h1_calcium_min', 'h1_platelets_max', 'h1_platelets_min', 'h1_bun_max',\n",
-    "            'h1_bun_min', 'h1_creatinine_max', 'h1_creatinine_min', 'h1_hematocrit_max',\n",
-    "            'h1_hematocrit_min', 'h1_hemaglobin_max', 'h1_hemaglobin_min', 'h1_sodium_max', 'h1_sodium_min', 'h1_potassium_max',\n",
-    "            'h1_potassium_min', 'fio2_apache', 'paco2_apache', 'paco2_for_ph_apache', 'pao2_apache', 'ph_apache', \n",
-    "            'd1_lactate_max', 'd1_lactate_min', 'd1_diasbp_invasive_max', 'd1_diasbp_invasive_min', 'd1_sysbp_invasive_max',\n",
-    "            'd1_sysbp_invasive_min', 'd1_mbp_invasive_max', 'd1_mbp_invasive_min', 'd1_pao2fio2ratio_max', 'd1_pao2fio2ratio_min',\n",
-    "            'd1_arterial_ph_max', 'd1_arterial_ph_min', 'd1_arterial_pco2_max', 'd1_arterial_pco2_min', 'd1_arterial_po2_max',\n",
-    "            'd1_arterial_po2_min', 'bilirubin_apache', 'd1_inr_max', 'd1_inr_min', 'h1_inr_max', 'h1_inr_min', 'albumin_apache',\n",
-    "            'd1_bilirubin_max', 'd1_bilirubin_min', 'h1_glucose_max', 'h1_glucose_min', 'd1_albumin_max', 'd1_albumin_min'], \n",
-    "           axis=1,inplace=True)\n",
-    "print(train.shape)\n",
-    "train.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "hospital_id                      int64\n",
-       "hospital_death                   int64\n",
-       "age                            float64\n",
-       "bmi                            float64\n",
-       "elective_surgery                 int64\n",
-       "                                ...   \n",
-       "leukemia                       float64\n",
-       "lymphoma                       float64\n",
-       "solid_tumor_with_metastasis    float64\n",
-       "apache_3j_bodysystem            object\n",
-       "apache_2_bodysystem             object\n",
-       "Length: 118, dtype: object"
-      ]
-     },
-     "execution_count": 20,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "train.dtypes"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Examine Classes and Class Imbalance\n",
-    "The label has significant class imbalance as the vast majority of ICU encounters thankfully have positive results.  The imbalance though, can bias the training of classifier algorithms leading to a higher error rate for the minority class.  Let's look at the class imbalance...\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0    83798\n",
-      "1     7915\n",
-      "Name: hospital_death, dtype: int64\n"
-     ]
-    }
-   ],
-   "source": [
-    "hospital_death_counts = train['hospital_death'].value_counts()\n",
-    "print(hospital_death_counts)\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Only 8.63% of encounters in the dataset resulted in death.  This high imbalance will have to be addressed in the model."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Visualizing Correlations\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x21ee72f1dd8>"
-      ]
-     },
-     "execution_count": 22,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1080x1080 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Compute the correlation matrix\n",
-    "corr = train.corr()\n",
-    "\n",
-    "# Generate a mask for the upper triangle\n",
-    "mask = np.triu(np.ones_like(corr, dtype=np.bool))\n",
-    "\n",
-    "# Set up the matplotlib figure\n",
-    "f, ax = plt.subplots(figsize=(15, 15))\n",
-    "\n",
-    "# Generate a custom diverging colormap\n",
-    "cmap = sns.diverging_palette(220, 10, as_cmap=True)\n",
-    "\n",
-    "# Draw the heatmap with the mask and correct aspect ratio\n",
-    "sns.heatmap(corr, mask=mask, cmap=cmap, vmax=.3, center=0,\n",
-    "            square=True, linewidths=.5, cbar_kws={\"shrink\": .5})"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "There's too many features to be able to read this, but by the range scale to the left, there is not a high correlation in either direction regardless. "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Visualizing Class separation by Numeric Features\n",
-    "There are mainly numerical features in this dataset, though many are missing lots of data.  Let's look at the class separation by gruops of numberic features...\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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SUkKfPn0cl9cWEZGGV+urb79+/XBzc6txL8DNzY29e/dy77331rjsjh07+Pvf/8769eupqKhg8ODBRERE0LlzZ8c8iYmJzJs3j+DgYJKSkjCZTIwePfoaN0lEROqj1kIoLCys9xP37duXjz76CA8PD06ePEllZSWtW7d2TP/2228pLS11fOFt+PDhpKenqxBERFzE0PGZsrIyPvvsM0pKSgAc90NISEiodTlPT0/S09N5//33iY6Opn379o5pp06dwt/f3zHs7+/PyZMn67MNTVZubi5bt251dQwOHDgAUOvhv4YQGRnJwIEDXZpBpDkzVAgJCQl88803FBUVcdddd1FQUEDfvn0NrWDq1KlMmDCBSZMmYTKZ+NWvfgWAzWar9h0Gu91e5+80mM3mOs3f2Bw8eBCLxeLqGLRq1QrA5VkOHjxIfn6+SzM0Bq7+PUjjZbFYnPo/YqgQ9u7dy5YtW5gzZw7jxo3DZrMxZ86cWpf597//TVlZGT169KBVq1YMGjSIffv2OaYHBgZSVFTkGD59+jQBAQF1Ch8UFISXl1edlmlMQkNDXR1BGqGMjAwstX+eQ5opPz+/a3rdsFqttb6RNvSx04CAADw8POjUqRP79+/nzjvvvOq7mKNHj5KcnExZWRllZWXk5ORU25COHTvi5eXlaLt169YRHh5uJI6IiDiBoUJo3bo12dnZdO/enY0bN7Jv376r3g8hIiKC+++/n0cffZTHHnuMkJAQhgwZwoQJE9i9ezcAixcvZsGCBURHR3Px4kXGjh177VskIiL1YuiQUUpKCiaTicTERDIyMnjiiSeYNm3aVZeLj48nPj6+2rh33nnH8bh79+5kZGTUMbKIiDiDoULo1KkTM2bMoLi4mJdffrlJH7cXEZGaGTpkdOjQIUaMGEHfvn0JDQ3l17/+NcePH3d2NhERaUCGCiElJYW4uDgKCgr46quveOihh0hOTnZ2NhERaUCGCuHChQuMGDECT09PWrZsyZNPPsnp06ednU1ERBqQoUK49dZbKSgocAwXFhZy6623Oi2UiIg0vFpPKsfGxgJQUlLC6NGj6datGy1atKCwsJAuXbo0SEAREWkYtRbCCy+8AHx/LaOWLVs2SCAREXGNWgvhh+sVDR06lHXr1jVIIBERcQ1D5xBatWrFiRMnnJ1FRERcyNAX0y5dusSDDz5IYGBgtXsaZGdnOy2YiIg0LEOFMGvWLGfnEBERFzN0yKhv3754e3tz4MABgoOD8fT0NHw/BBERaRoMFUJmZibPP/887777LhaLhSlTpmAymZydTUREGpChQlixYgWffvopvr6+tGvXjszMTD788ENnZxMRkQZkqBBatGiBr6+vY7hDhw64u7s7LZSIiDQ8Q4XQpk0b9u7d67jn8fr16/nZz37m1GAiItKwDH3KKCkpif/6r//iyJEj/PKXv8TLy4tly5ZddbnXX3+djRs3At/fQW3GjBmXTV+zZg033XQTACNGjGDMmDF13QYREbkODBVC586dWbduHYcOHaKyspLbb78dT0/PWpfJy8tj27ZtZGVl4ebmxtNPP83WrVuJjIx0zGM2m3n11VcJCQm5tq0QEZFrZuiQUUREBG+88Qbe3t507dr1qmUA4O/vz8yZM2nZsiWenp506dKFY8eOVZvHbDbz1ltvERsbS2pqKlartX5bISIi18zQHsIHH3xAZmYmo0eP5o477uDxxx/noYcewsPjyovfeeedjseHDh1i48aNfPLJJ45xJSUl9OjRg8TERG677TZmzpzJsmXLSEhIMBzebDYbnlekqbBYLK6OII2UxWIhPz/fac/vZrfb7UZnttls/O1vf+ONN97g6NGj5OXlXXWZf/7zn0ycOJH4+HiGDRt2xfm+/vprkpKSWLt27VWf02q1YjabCQoK0v2d5Ybz/PPPY/lmH+N6tnV1FGlElu86g98t3ViwYEG9n+Nqr52GDhkBfPfdd3z44YcsWbKES5cuMXny5Ksuk5+fz1NPPcXvfve7y8rg2LFjZGRkOIbtdnutexwiIuJchl6BJ02axP/8z/8QGRnJiy++SK9eva66zPHjx3nmmWdIS0sjLCzssune3t688sor3Hvvvfz85z9n1apV1U44i4hIwzJUCAMHDmTJkiX4+PhcNu1Pf/oTMTExl41/7733sFqtLFy40DFu5MiR5ObmMnXqVO6++25SU1OZPHky5eXl9O7dm3Hjxl3DpoiIyLUwVAgjRoy44rT33nuvxkJITk4mOTn5svGjRo1yPI6KiiIqKspIBBERcTLD5xCupA7npEVEpBG75kL44XIWIiLStF1zIYiIyI1BhSAiIoDOIYiISJU6F0JZWVm1axLFxsZe10AiIuIahgph69atvPjiixQXFxMdHc3QoUMdd0z7zW9+49SAIiLSMAwVwltvvcWIESPYsmULwcHB/OUvf2HdunXOziYiIg3IUCHY7Xa6detGXl4e4eHh+Pr66tyBiMgNxvA9lTds2MC2bdvo378/n332mb5/ICJygzFUCM899xwmk4lp06bh7+/PH/7whxovSyEiIk2XoWsZ9enTh2eeeYZ77rmHc+fO8fTTT9O7d29nZxMRkQZkaA8hLS2N9PR0AEpLS3n77bdZtmyZU4OJiEjDMlQIOTk5vP/++wAEBgaycuVKNmzY4NRgIiLSsAwVQnl5OZ6eno5hT09PnVQWEbnBGDqH0Lt3b373u98RFxeHm5sbWVlZhu6a9vrrr7Nx40YAIiIimDFjRrXpe/fuZdasWZSUlNCnTx/mzp2r22i6wI+/bZ6dne3CJCLiSob2EF544QX8/f1ZuHAhixYtwt/f/6qfMsrLy2Pbtm1kZWWxdu1a9uzZw9atW6vNk5iYSEpKCps3b8Zut2Mymeq/JSIick0MFUJMTAxbt27FYrFw7tw5Nm3axOOPP860adM4depUjcv4+/szc+ZMWrZsiaenJ126dKl2DaRvv/2W0tJSgoODARg+fDibNm26DpskdfHTa1Hp2lQizZeh4zMPPfQQJSUljBkzhhYtWpCRkUFJSQndunUjJSWFN99887Jl7rzzTsfjQ4cOsXHjRj755BPHuFOnTuHv7+8Y9vf35+TJk9eyLSI3hLNnz3K6uILlu864Ooo0IieKK6g4e9ap6zBUCF9++SWZmZmO4eTkZOLi4liwYAFr1qypddl//vOfTJw4kRkzZtCpUyfHeJvNVu3EtN1ur/OJarPZXKf5xZj8/HxXR2jWSktLXR1BGqnS0lKn/n8aKoSSkhKKi4vx9fUFoLi42NAfbX5+PlOnTiUpKYkhQ4ZUmxYYGEhRUZFj+PTp0wQEBNQlO0FBQXh5edVpGbm60NBQV0do1jp06ICl4gLjerZ1dRRpRJbvOoNfhw7X9P9ptVprfSNtqBAee+wxRowYQXR0NHa7nS1btvD444+zYsUKOnfuXOMyx48f55lnniEtLY2wsLDLpnfs2BEvLy/y8/MJDQ1l3bp1hIeHG9wsERG53gwVwm9/+1t69OjB559/joeHBy+88AL9+vXDbDYzbNiwGpd57733sFqtLFy40DFu5MiR5ObmMnXqVO6++24WL15McnIyxcXF/OIXv2Ds2LHXZ6vEsOzsbH3sVEQAg4UAMGDAAAYMGFBtXFBQ0BXnT05OrvGjqaNGjXI87t69OxkZGUYjiIiIE+lbYKK9AhEB6nFPZRERuTGpEEREBFAhiIhIFRWCiIgAKgQREamiQhAREUCFICIiVVQIIiICqBBERKSKCkFERAAVgoiIVFEhiIgIoEIQEZEqKgQREQFUCCIiUsXphVBcXExMTAxHjx69bNrrr7/OAw88wNChQxk6dCirVq1ydhwREbkCp94gp6CggOTkZA4dOlTjdLPZzKuvvkpISIgzY4iIiAFO3UMwmUzMnj2bgICAGqebzWbeeustYmNjSU1NxWq1OjOOiIjUwqmFMH/+fPr06VPjtJKSEnr06EFiYiJZWVlcuHCBZcuWOTOOiIjUwmX3VPbx8eGdd95xDI8fP56kpCQSEhIMP4fZbHZGNBGXslgsro4gjZTFYiE/P99pz++yQjh27Bh5eXnExcUBYLfb8fCoW5ygoCC8vLycEU/EZTIyMrCcc3UKaYz8/PwIDQ2t9/JWq7XWN9Iu+9ipt7c3r7zyCt988w12u51Vq1YRGRnpqjgiIs1egxfChAkT2L17N23btiU1NZXJkycTHR2N3W5n3LhxDR1HRESqNMgho9zcXMfjH583iIqKIioqqiEiiIjIVeibyiIiAqgQRESkigpBREQAFYKIiFRRIYiICKBCEBGRKioEEREBVAgiIlJFhSAiIoAKQUREqqgQREQEUCGIiEgVFYKIiAAqBBERqaJCEBERwIW30JTGIzY21vE4OzvbhUlExJWcvodQXFxMTEwMR48evWza3r17GT58OFFRUcyaNYuKigpnxxERkStwaiEUFBQwatQoDh06VOP0xMREUlJS2Lx5M3a7HZPJ5Mw4UoMf7x3UNCwizYdTDxmZTCZmz57NjBkzLpv27bffUlpaSnBwMADDhw8nPT2d0aNHOzOSSJNworiC5bvOuDRDcZmN4jKbSzM0Jr4tW+Db0nWnXU8UV+Dn5HU4tRDmz59/xWmnTp3C39/fMezv78/Jkyfr9Pxms7ne2eTK8vPzXR2hWfPx8SHw57e6OgYUF4Ot2NUpGo/WvuDr67LVB7b5/m/Dmf+fLjupbLPZcHNzcwzb7fZqw0YEBQXh5eV1vaM1e6Ghoa6O0Kzp5y/OYrVaa30j7bL9n8DAQIqKihzDp0+fJiAgwFVxRESaPZcVQseOHfHy8nLs/qxbt47w8HBXxWm2fvoxU33sVKT5avBCmDBhArt37wZg8eLFLFiwgOjoaC5evMjYsWMbOo6IiFRxs9vtdleHqKsfjoPpHIKIiHFXe+3UpStERARQIYiISBUVgoiIAE304nY/nPYoKytzcRIRkabjh9fMK506bpKFUF5eDsD+/ftdnEREpOkpLy/H29v7svFN8lNGNpuNkpISPD096/ztZhGR5sput1NeXo6Pjw8tWlx+xqBJFoKIiFx/OqksIiKACkFERKqoEEREBFAhiIhIFRWCiIgAKgQREamiQhAREUCF0OxlZ2czePBgBg0axKpVq1wdR6Sa4uJiYmJiOHr0qKujNAsqhGbs5MmTpKWl8fHHH7N27Vo+/fRT/vWvf7k6lggABQUFjBo1ikOHDrk6SrOhQmjG8vLy6NevH23atKF169ZERUWxadMmV8cSAcBkMjF79mzda70BNcmL28n1cerUKfz9/R3DAQEB7Nq1y4WJRP7P/PnzXR2h2dEeQjNms9mqXRzQbrfrYoEizZgKoRkLDAykqKjIMVxUVKTdc5FmTIXQjN13331s376dM2fOcOnSJbZs2UJ4eLirY4mIi+gcQjPWvn17EhISGDt2LOXl5cTFxdGzZ09XxxIRF9H9EEREBNAhIxERqaJCEBERQIUgIiJVVAgiIgKoEEREpIoKQZqsf/zjH8TExDh1HTk5OcybNw+Av/71ryxduvSqyzz55JN1viZUamoqr732Wr0yAnzzzTfEx8cDcPToUUJCQur9XNJ86XsIIrV48MEHefDBBwHYvXs358+fd3Gimh07doyDBw+6OoY0cSoEadIuXrxIQkICBw4cwGq1Mm/ePLp168bcuXMpLCzEzc2NAQMGMG3aNDw8PEhPT2fr1q14enpy8803s2DBAgICArjrrruYMGECf/vb37h48SLTpk1j0KBBZGZmsnnzZqZMmcLq1auprKzEz8+PiRMnMmfOHA4fPsy5c+fw8fFh8eLFdO7c2VDu4uJiZs2aRWFhIQEBAbi7uxMaGgp8f1ny1NRUjh8/Tnl5OUOGDGHSpEkAvPnmm+Tk5FBaWsqlS5d47rnnGDhwIMnJyZw8eZLf/OY3zJ07l8rKSlJSUti9ezcWi4XExESioqKc9nuQG4MOGUmTduLECZ566inWrVvHyJEjee2115g3bx5t2rQhOzubNWvWsG/fPt5//32OHz/Ohx9+yJo1a8jMzKR///6Oq7tWVlbSqlUrMjMz+f3vf09SUhJnzpxxrKdXr16MHDmSwYMHk5CQwOeff85NN0Fu5M4AAANrSURBVN3Ep59+yubNmwkKCqrTDYbS09Px9vZm06ZNLF26tNq7+8TERB577DEyMzPJyMggLy+PDRs28O2335KXl8eKFSvIzs4mISGB9PR03N3dmTdvHrfeeivvvfceAFarlf79+5OVlcVzzz3HK6+8cp1+4nIj0x6CNGm33HILvXr1AqB79+6sWbOG/fv388knn+Dm5kbLli0ZOXIkH374IU8//TTdu3dn2LBhhIeHEx4eTlhYmOO5nnjiCcfzdO3alZ07d15xvdHR0dxyyy2sWLGCw4cPs2PHjjodt9++fTtJSUm4ubnRtm1bIiMjge/3eHbu3Mn58+cd5ysuXrxIYWEhgwcPZtGiRWRnZ3P48GEKCgooKSmp8fk9PT0dewTdu3fnu+++M5xNmi8VgjRpnp6ejsdubm7Y7fbLLutts9moqKigRYsWrFy5kt27d7N9+3ZeeuklBgwYwIwZMwBwd3evtsyPh3/q448/xmQyMWbMGGJjY2nTpk2db/P446vG/LAum82G3W5n9erVtGrVCoAzZ87g5eXFnj17mDJlCk899RT9+/fnnnvuYe7cuYZ+LiJG6JCR3HB++ctfsnLlSux2O2VlZZhMJu677z4KCwuJiYmhS5cuTJw4kaeeeordu3c7llu7di0Ae/bs4eDBg9xzzz3Vntfd3Z2KigoAtm3bxrBhw3j88ce5/fbbyc3NpbKy0nDGAQMGkJGRgc1m4/z58+Tk5ADg6+tLcHAwy5cvB+DChQuMGjWKnJwcdu7cSVBQEOPGjaNv377k5OQ41unu7k55eXn9f2giaA9BbkDJycnMmzeP2NhYysvLGTBgAJMmTaJly5Y8/PDDPPbYY7Ru3Rpvb2+Sk5Mdy3311VeYTCZsNhtpaWn87Gc/q/a8/fr1Y/r06bz44ouMHz+elJQUMjIyAAgODmb//v2GM8bHxzN79mwefvhh2rZtS9euXR3TFi9ezIsvvkhsbCxlZWXExMTwyCOPcPr0abZs2cLDDz+MzWbjgQce4Pz58xQXF3PHHXfg5eVFXFwcaWlp1/gTlOZKVzsVAbp168b27dtp27atq6OIuIz2EEScoLi4mDFjxtQ4zcfHh48//riBE4lcnfYQREQE0EllERGpokIQERFAhSAiIlVUCCIiAqgQRESkigpBREQA+P/i8z3IQIbZGAAAAABJRU5ErkJggg==\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "def plot_box(train, cols, col_x = 'hospital_death'):\n",
-    "    for col in cols:\n",
-    "        sns.set_style(\"whitegrid\")\n",
-    "        sns.boxplot(col_x, col, data=train)\n",
-    "        plt.xlabel(col_x) # Set text for the x axis\n",
-    "        plt.ylabel(col)# Set text for y axis\n",
-    "        plt.show()\n",
-    "\n",
-    "num_cols = ['age', 'height', 'gcs_eyes_apache', 'gcs_motor_apache', 'gcs_verbal_apache', 'apache_4a_hospital_death_prob', \n",
-    "          'apache_4a_icu_death_prob', 'd1_hco3_min', 'd1_spo2_max', 'd1_spo2_min', 'h1_spo2_max', 'h1_spo2_min']\n",
-    "plot_box(train, num_cols)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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I27ZtU+vWrX0OdPToUX3nO9/hGgIAsFG9BTB06FBJ0urVq5Wdna0mTa5PGTzxxBN6+umnfR701KlTatu2rc/bAwDunldrAV28eFHV1dVq1qyZpOu3hLx8+bLPgw4fPlzDhw/3eXsAwN3zqgBGjBihp556SnFxcXK73crPz9dTTz1ldTYAgIW8KoDZs2erW7du+uc//ylJ+tWvfuW5JSQAIDB5vRz0kCFDNGTIECuzAAD8iOWgAcBQFAAAGIoCAABDUQAAYCgKAAAMRQEAgKEoAAAwFAUAAIaiAADAUBQAABiKAgAAQ3m9FhAaRlFRkQoKCuyOodLSUklSWlqarTni4uIUGxtrawbAVBwBGKqqqkpVVVXcYxkwGEcAfhYbG9soPvEmJiZ6fs7IyLAxCQC7cARgoK+++d/sMQAzUAAAYCgKAAAMRQEAgKEoAAAwFAUAAIaiAADAUBQAABiKAgAAQ1EAAGAoCgAADEUBAIChKAAAMBQFAACGogAAwFC2FEBRUZGSk5OVkJCg9PR0OyIAgPH8XgCnTp3SwoUL9frrr+utt97S4cOHtXPnTn/HAADj+f2OYAUFBRo+fLjatm0rScrMzFRoaKi/YwCA8fx+BFBWVian06lp06bpySef1Pr163Xffff5OwYAGM/vRwBOp1MfffSRsrKy1Lx5cz3//PPasmWLkpOTvdqem5hbY+/evXZHACRJ5eXlknhN+oPfC+D+++9Xnz59FBERIUkaMmSIDhw44HUBREVFccrIAtHR0XZHACRJubm5knhNNpTq6upbfnD2+ymgQYMGadeuXfriiy/kdDr1/vvvq1u3bv6OAQDG8/sRQPfu3TV58mT95Cc/UU1Njfr166fRo0f7OwYAGM/vBSBJY8aM0ZgxY+wYGgDw/7gSGAAMRQEAgKEoAAAwFAUAAIaiAADAUBQAABiKAgAAQ1EAAGAoCgAADEUBAIChKAAAMBQFAACGogAAwFAUAAAYypbloAE0TkVFRSooKLA1Q2lpqSQpLS3N1hySFBcXp9jYWLtjWIYCANCo3LhdLKxHAQDwiI2Nvac/8aIu5gAAwFAUgIHy8vLqfQzADBQAABiKOQBD8akfAEcAAGAoCgAADEUBAIChAmYOwO12S5KuXbtmcxIACBw33jNvvId+VcAUQE1NjSTp2LFjNicBgMBTU1OjsLCwOs853DerhUbI5XKpsrJSwcHBcjgcdscBgIDgdrtVU1OjFi1aqEmTumf9A6YAAAANi0lgADAUBQAAhqIAAMBQFAAAGIoCAABDUQAAYCgKAAAMRQEYKC8vT8OHD1d8fLzefPNNu+MAdVRUVGjEiBE6ffq03VHueRSAYc6ePavMzEytX79eW7du1caNG/Xpp5/aHQuQJO3fv18pKSk6efKk3VGMQAEYpri4WI8//rjCw8PVvHlzDR06VPn5+XbHAiRJOTk5WrhwoSIjI+2OYoSAWQwODePcuXN64IEHPI8jIyN14MABGxMBX1q6dKndEYzCEYBhXC5XncX03G43i+sBhqIADNO2bVudP3/e8/j8+fMcbgOGogAM07dvX+3evVsXLlzQlStXtGPHDg0YMMDuWABswByAYR588EGlpqbqpz/9qWpqajRmzBg99thjdscCYAPuBwAAhuIUEAAYigIAAENRAABgKAoAAAxFAQCAoSgABJQPPvhAI0aMsHSMwsJCpaenS5Lee+89LV++/LbbTJw48Y7XVFqyZIlWrlzpU0ZJOnXqlGbNmiVJOn36tHr27OnzvmAmrgMAvmbw4MEaPHiwJOngwYO6fPmyzYlu7r///a9OnDhhdwwEMAoAAaeqqkqpqakqLS1VdXW10tPT1blzZy1evFhHjhyRw+FQ//799cILL6hp06ZasWKFCgoKFBwcrDZt2igjI0ORkZHq2rWrpkyZovfff19VVVV64YUXFB8fr82bN+udd97R9OnTlZ2dLafTqVatWmnq1KlatGiRysrKdOnSJbVo0ULLli1Tx44dvcpdUVGhl156SUeOHFFkZKSCgoIUHR0t6foy3UuWLNFnn32mmpoa/fjHP9a0adMkSX/6059UWFioq1ev6sqVK5o3b55iY2O1YMECnT17Vs8++6wWL14sp9Opl19+WQcPHlR5ebnmzp2roUOHWvbfAYGPU0AIOGfOnNGkSZO0bds2jRs3TitXrlR6errCw8OVl5enTZs26ejRo3rjjTf02Wefae3atdq0aZM2b96sfv36eVY/dTqdatasmTZv3qw//OEPmj9/vi5cuOAZp3v37ho3bpyGDx+u1NRU/eMf/1Dr1q21ceNGvfPOO4qKirqjG+qsWLFCYWFhys/P1/Lly+t8ep87d65Gjx6tzZs3Kzc3V8XFxXr77bf1n//8R8XFxcrKylJeXp5SU1O1YsUKBQUFKT09XQ8//LBWr14tSaqurla/fv20ZcsWzZs3T7/97W8b6C+OexVHAAg47du3V/fu3SVJXbp00aZNm3Ts2DFt2LBBDodDISEhGjdunNauXavJkyerS5cuGjVqlAYMGKABAwaoT58+nn1NmDDBs59OnTppz549txx32LBhat++vbKyslRWVqYPP/zwjs677969W/Pnz5fD4VBERITi4uIkXT+i2bNnjy5fvuyZb6iqqtKRI0c0fPhw/eY3v1FeXp7Kysq0f/9+VVZW3nT/wcHBnk/8Xbp00f/+9z+vs8FMFAACTnBwsOdnh8Mht9v9jWWuXS6Xamtr1aRJE61bt04HDx7U7t279eqrr6p///568cUXJUlBQUF1tvnq469bv369cnJyNH78eCUmJio8PPyOb1v41ZVXbozlcrnkdruVnZ2tZs2aSZIuXLig0NBQHTp0SNOnT9ekSZPUr18/9erVS4sXL/bq7wLcDqeAcE+IiYnRunXr5Ha7de3aNeXk5Khv3746cuSIRowYoe9973uaOnWqJk2apIMHD3q227p1qyTp0KFDOnHihHr16lVnv0FBQaqtrZUk7dq1S6NGjdLYsWP13e9+V0VFRXI6nV5n7N+/v3Jzc+VyuXT58mUVFhZKklq2bKkePXpozZo1kqQvvvhCKSkpKiws1J49exQVFaVnnnlGvXv3VmFhoWfMoKAg1dTU+P5Hg/E4AsA9YcGCBUpPT1diYqJqamrUv39/TZs2TSEhIUpISNDo0aPVvHlzhYWFacGCBZ7t9u3bp5ycHLlcLmVmZuq+++6rs9/HH39cc+bM0SuvvKKf/exnevnll5WbmytJ6tGjh44dO+Z1xlmzZmnhwoVKSEhQRESEOnXq5PndsmXL9MorrygxMVHXrl3TiBEjlJSUpM8//1w7duxQQkKCXC6XBg0apMuXL6uiokKPPPKIQkNDNWbMGGVmZt7lXxAmYjVQGKtz587avXu3IiIi7I4C2IIjAKCBVFRUaPz48Tf9XYsWLbR+/Xo/JwLqxxEAABiKSWAAMBQFAACGogAAwFAUAAAYigIAAENRAABgqP8Df5DkTmVlXe0AAAAASUVORK5CYII=\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "def plot_box(train, cols, col_x = 'hospital_death'):\n",
-    "    for col in cols:\n",
-    "        sns.set_style(\"whitegrid\")\n",
-    "        sns.boxplot(col_x, col, data=train)\n",
-    "        plt.xlabel(col_x) # Set text for the x axis\n",
-    "        plt.ylabel(col)# Set text for y axis\n",
-    "        plt.show()\n",
-    "\n",
-    "num_cols = ['d1_glucose_max', 'd1_glucose_min', 'd1_potassium_max', 'd1_potassium_min', 'd1_sodium_max', 'd1_sodium_min',\n",
-    "            'd1_bun_max', 'd1_bun_min', 'glucose_apache', 'd1_calcium_max', 'd1_calcium_min', 'd1_hco3_max', 'sodium_apache',\n",
-    "            'bun_apache']\n",
-    "plot_box(train, num_cols)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "def plot_box(train, cols, col_x = 'hospital_death'):\n",
-    "    for col in cols:\n",
-    "        sns.set_style(\"whitegrid\")\n",
-    "        sns.boxplot(col_x, col, data=train)\n",
-    "        plt.xlabel(col_x) # Set text for the x axis\n",
-    "        plt.ylabel(col)# Set text for y axis\n",
-    "        plt.show()\n",
-    "\n",
-    "num_cols = ['h1_mbp_invasive_max', 'h1_mbp_invasive_min', 'h1_sysbp_invasive_max', 'h1_sysbp_invasive_min', \n",
-    "            'h1_diasbp_invasive_max', 'h1_diasbp_invasive_min']\n",
-    "plot_box(train, num_cols)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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ulcPixYuxWq387W9/o1WrVlgsFhYvXuy2UCJyRW5uLv87cojObV0e5DdZrRxVABR/+1+Tk5jvO5v7ryDh0ivu73//OzExMdx5550APPfcc+7MJCLX6NzWkz/93s/sGNKIrPnqnNu34dKnlW655RaeeOIJJk+eTEZGBna73d25RETERC6Vw9NPP82//vUvpkyZwkcffcTw4cN5/fXXa30Ws4iI3BxcKgcAi8VCp06dCAgIoLKykm+++Ybx48ezceNGd+YTERETuHTM4b333sNqtfL9998TExPD5s2b8fPz49y5c0RGRhITE+PunCIi0oBcKoePPvqIp556isGDB9OixY+DDT8/P+Li4twWTkREzOFSOaxevRqbzUaLFi2qXVvJy8uLRx991N0ZRUSkgblUDitWrCAvL4/nnnuOqVOnctddd7F//37DJblFRKRpcOmA9CeffEJycjLbt29n1KhRvPvuuxw9etTd2URExCQuf1rp6rWV+vTpA8Dly5fdFkpERMzlUjlce22lfv36NblrK4mISHUulcPixYsJCAi47rWVSkt1BzURkabGpXLo2LEjM2bM4J577gGuXFupY8eOAIwfP9596URExBQuH3P4OQ6Hoz5yiIhII3LD5WCxWOojh4iINCI3XA4iItL06A4iP9A9pK+oqiwDoIVnS5OTmM9edgHoZHYMEVOoHLhyuz254uqtGLt31x9F6KTXhjRbN1wOrVu3ro8cpnLnfVhvNlfvz7to0SKTk4iImW74mMP69evrI4eIiDQiNY4cLly4UOOD27dvX69hRESkcaixHB566CEKCgoA4/kMFouFI0eOuC+ZiHD+/HkKbZUNckN5uXl8Z6uk8vx5t26jxnLYtGkTEyZMYPXq1XTr1q3eNpqWlsZbb70FQHh4OHPmzOHIkSPEx8dTUlLCvffey/z58/H01PFyEREz1PjXt0uXLsycOZPXXnuNFStW1MsGL126xMKFC8nIyKBdu3bExsaSlZXFyy+/THJyMqGhocybNw+r1cq4cePqZZsiN6sOHTrgaTvLn37vZ3YUaUTWfHUO3w4d3LqNXzwgPXr0aBISEuptg3a7naqqKi5dukRlZSWVlZV4enpSVlZGaGgoANHR0WRkZNTbNkVEpHZqHDlMnDixxstjvPvuu7XeYNu2bXnmmWcYMWIErVq1olevXnh5eeHv7+9cxt/fn/z8/FqvW0RE6keN5TBhwgQAduzYgc1mY8yYMXh4eJCWlka7du3qtMGjR4+yefNmPv74Y3x9fXn++ef57LPPqpWQw+Go9TWbcnJy6pRHqisuLgYgOzvb5CQCP/4+RH6quLjYrf9PayyHiIgIAFatWsXGjRtp0eLKXqhBgwbx+OOP12mDe/bsoW/fvtx6663AlV1Iq1atcn4qCqCwsLDWNxMKCQnBx8enTpnkRykpKQCEhYWZnETgyu+juOZPlEsz5evre0P/T8vLy2t8U+3SSXDnz5+nvLzcOV1SUkJRUVGdAgUFBZGVlUVpaSkOh4PMzEzuu+8+fHx8nC2YlpZGeHh4ndYvIiI3zqXPikZGRvLYY48xdOhQHA4HGRkZPPbYY3Xa4IABAzh8+DDR0dF4eXlxzz338OSTTzJ06FASEhKw2WwEBwczadKkOq1fRERunEvl8MwzzxAcHMznn38OwAsvvMD9999f540++eSTPPnkk9XmBQUFOXdpiIiIuVw+y+zBBx/kwQcfdGcWERFpJHSzHxERMVA5iIiIgcpBREQMVA4iImKgchAREQOVg4iIGKgcRETEQOUgIiIGKgcRETFQOYiIiIHKQUREDFQOIiJioHIQEREDl6/KKiLm+M5WyZqvzpkdw3S2y1UAtPXWe9rvbJX4unkbKgeRRqx79+5mR2g0CnJzAejSVc+JL+5/bagcRBqxadOmmR2h0Zg7dy4AixYtMjlJ86DxmYiIGKgcRETEQOUgIiIGKgcRETFQOYiIiIHKQUREDFQOIiJiYEo5ZGZmEh0dzYgRI0hOTgYgKyuLqKgohg0bxrJly8yIJSIiP2jwcvj2229JSkpi5cqVbNmyhcOHD7Nr1y7mzZvHypUr2bp1Kzk5Oezatauho4mIyA8avBx27NjByJEj6dy5M15eXixbtoxWrVrRrVs3unbtiqenJ1FRUWRkZDR0NBER+UGDXz4jLy8PLy8vpk+fzpkzZxg0aBC/+c1v8Pf3dy4TEBBAfn5+Q0cTEZEfNHg52O12vvzyS9auXUvr1q15+umnadmyJRaLxbmMw+GoNu2KnJyc+o7aLBUXFwOQnZ1tchKR6vTabFgNXg4dO3akb9+++Pn5AfDggw+SkZGBh4eHc5mCggICAgJqtd6QkBB8fHzqNWtzlJKSAkBYWJjJSUSq02uzfpWXl9f4prrBjzk88MAD7Nmzh4sXL2K32/n0008ZPnw4x48fJy8vD7vdzocffkh4eHhDRxMRkR80+MihZ8+eTJ06lXHjxlFRUUH//v2JjY2le/fuzJw5k/Lycu6//36GDx/e0NFEROQHptzPYezYsYwdO7bavL59+7JlyxYz4oiIyE/oDGkRETFQOYiIiIHKQUREDFQOIiJioHIQEREDlYOIiBioHERExEDlICIiBioHERExUDmIiIiBykFERAxUDiIiYqByEBERA5WDiIgYqBxERMRA5SAiIgYqB6kmJyeHnJwcRo8ebXYUETGRKXeCE6PMzEx27Nhhdgwnu93O3LlzTdv+0KFDGTx4sGnbF2nuNHIQp5ycnBqnRaT50MihkRg8eLDp75SjoqIM8xYtWmRCEhExm0YOIiJioHIQEREDlYOIiBioHERExMDUcli8eDEvvPACAEeOHCE6OpqIiAji4+OprKw0M5qISLNm2qeV9u7dy/vvv8+gQYMAmD17NsnJyYSGhjJv3jysVivjxo0zK56IXKMxnIeTm5sLYOr5N1c1h/NwTBk5XLhwgWXLljF9+nQATp06RVlZGaGhoQBER0eTkZFhRjQRaaT8/Pzw8/MzO0azYcrIITExkbi4OM6cOQPA2bNn8ff3d37f39+f/Px8M6KJyHU0hvNwpGE1eDm89957dOnShb59+5KamgpAVVUVFovFuYzD4ag27Qqdzese2dnZZkcQERM0eDls3bqVgoICHn74YYqKiigtLcVisVBQUOBcprCwkICAgFqtNyQkBB8fn/qO26ykp6dXO0s6PT3dxDQi4k7l5eU1vqlu8HJYs2aN8+vU1FS++OILFi1aRGRkJNnZ2YSFhZGWlkZ4eHhDRxMRkR80mmsrLV26lISEBGw2G8HBwUyaNMnsSM2SRgsiAmBxOBwOs0PciKtDI+1WEhFx3S/97dQZ0iIiYqByEBERg0ZzzKGuru4Vu3z5sslJRERuHlf/Zv7ckYWbvhwqKioAOHbsmMlJRERuPhUVFbRs2dIw/6Y/IF1VVUVJSQleXl61PnFORKS5cjgcVFRU0KZNG1q0MB5huOnLQURE6p8OSIuIiIHKQUREDFQOIiJioHIQEREDlYOIiBioHERExEDlICIiBioHcUpPT2fkyJEMGzaM9evXmx1HpBqbzUZkZCQnT540O0qzoHIQAPLz81m2bBkbNmzggw8+YNOmTXz99ddmxxIB4MCBA8TGxnLixAmzozQbKgcBICsriz59+tC+fXtat25NREQEGRkZZscSAcBqtZKUlFTr2wdL3d30F96T+nH27Fn8/f2d0wEBAXz11VcmJhL50cKFC82O0Oxo5CDAlQsYXnvhQofDoQsZijRjKgcBoHPnzhQUFDinCwoKNIQXacZUDgJAv3792Lt3L+fOnePSpUts376d8PBws2OJiEl0zEEA6NSpE3FxcUyaNImKigrGjh3L73//e7NjiYhJdD8HEREx0G4lERExUDmIiIiBykFERAxUDiIiYqByEBERA5WDNAn79u0jMjLSrdvYuXMnycnJAHzyyScsX778Fx8zceLEWl+jasGCBbzxxht1ygjw7bffMnPmTABOnjzJH/7whzqvS5ovnecg4qIhQ4YwZMgQAA4ePEhRUZHJia7v9OnTHD9+3OwYcpNTOUiTUVpaSlxcHLm5uZSXl5OcnMzdd9/N/PnzOXr0KBaLhYEDBzJr1iw8PT1ZsWIFO3bswMvLiw4dOrBo0SICAgL43e9+x7Rp0/j0008pLS1l1qxZDBs2jNTUVLZt28aMGTPYuHEjdrsdX19fnnrqKV588UXy8vK4cOECbdq0YenSpXTv3t2l3Dabjfj4eI4ePUpAQAAeHh6EhYUBVy6lvmDBAs6cOUNFRQWjRo1i+vTpALz55pvs3LmTsrIyLl26xJw5cxg8eDAJCQnk5+fzxBNPMH/+fOx2O4mJiRw8eJDi4mJmz55NRESE234P0jRot5I0Gd999x2TJ08mLS2NmJgY3njjDZKTk2nfvj3p6els3ryZ//73v6xevZozZ87wzjvvsHnzZlJTU+nfv7/zKrR2u51WrVqRmprK66+/zrx58zh37pxzOz179iQmJoaRI0cSFxfH7t27adeuHZs2bWLbtm2EhITU6mZJK1asoGXLlmRkZLB8+fJq7/pnz57NmDFjSE1NJSUlhaysLLZu3cqpU6fIyspi7dq1pKenExcXx4oVK/Dw8CA5OZk77riDVatWAVBeXk7//v15//33mTNnDkuWLKmnZ1yaMo0cpMno2rUrPXv2BCAoKIjNmzdz7Ngx/vGPf2CxWPD29iYmJoZ33nmHqVOnEhQUxCOPPEJ4eDjh4eH07dvXua4JEyY419OjRw/279//s9sdPnw4Xbt2Ze3ateTl5fHFF1/Uaj//3r17mTdvHhaLBT8/P4YOHQpcGQnt37+foqIi5/GN0tJSjh49ysiRI3n11VdJT08nLy+PAwcOUFJSct31e3l5OUcKQUFBfP/99y5nk+ZL5SBNhpeXl/Nri8WCw+EwXIq8qqqKyspKWrRowbp16zh48CB79+7l5ZdfZuDAgfzf//0fAB4eHtUec+30T23YsAGr1cr48eOJioqiffv2tb6V5bVXsbm6raqqKhwOBxs3bqRVq1YAnDt3Dh8fHw4dOsSMGTOYPHky/fv3p1evXsyfP9+l50XEFdqtJE3agAEDWLduHQ6Hg8uXL2O1WunXrx9Hjx4lMjKSX//61zz11FNMnjyZgwcPOh/3wQcfAHDo0CGOHz9Or169qq3Xw8ODyspKAPbs2cMjjzzCo48+yq9+9SsyMzOx2+0uZxw4cCApKSlUVVVRVFTEzp07AWjbti2hoaGsWbMGgIsXLxIbG8vOnTvZv38/ISEh/OlPf+K+++5j586dzm16eHhQUVFR9ydNBI0cpIlLSEggOTmZqKgoKioqGDhwINOnT8fb25sRI0YwZswYWrduTcuWLUlISHA+7t///jdWq5WqqiqWLVvGLbfcUm29ffr04fnnn+ell15iypQpJCYmkpKSAkBoaCjHjh1zOePMmTNJSkpixIgR+Pn50aNHD+f3li5dyksvvURUVBSXL18mMjKShx56iMLCQrZv386IESOoqqrigQceoKioCJvNxl133YWPjw9jx45l2bJlN/gMSnOlq7KK/MTdd9/N3r178fPzMzuKiGk0chBxM5vNxvjx46/7vTZt2rBhw4YGTiTyyzRyEBERAx2QFhERA5WDiIgYqBxERMRA5SAiIgYqBxERMVA5iIiIwf8Da99le0md3/QAAAAASUVORK5CYII=\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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WNO8yxOwYUoeU5O0wOwIA7QKa8uQDbcyOIXVIyqELbt+GS+XQpUsXgoOD3Z1FRETqCJfKYfLkycyZM4f+/fvj4+PjnD969Gi3BRMREfO4VA4Wi4Xz589TWlpaZb7KQUSkYXKpHPLz89m8ebO7s4iISB3h0hXSd999t26EJyLSiLg0cvDy8iIqKooePXpUOefw7rvvui2YiIiYx6VyiIiI+NmrpUtKSvTIUBGRBsalchgzZszP/tukSZP47LPPai2QiIiYz6VzDtWpwd03RESknrjtcqjpQ3lERKTuu+1yEBGRhkflICIiBioHERExuO1y0NdYRUQantsuh9WrV9dGDhERqUOqvc7h0qXqH3bSurUejiMi0hBVWw6jRo2ioKAAMF7P0JCeBCciIlVVWw5r165l8uTJrFy5ki5dungqk4iImKzacw7t27dn1qxZvPnmm57KIyIidcBN7600evRo+vXr54ksprl48SL20kt15pnBUjfYSy9x8aKv2TFETFFtOUyZMqXa22N8/PHHN92A1Wpl/PjxvPvuu3Ts2JGsrCySkpKw2WwMHz6cuXPnAnDs2DEWLlxIcXExvXr1YvHixTRt6tJ9AUVEpJZV+9d38uTJAGzfvh2r1crYsWPx9vYmPT2dVq1a3XTlBw8eJC4ujlOnTgFQWlpKbGwsqamptG/fnueee46dO3cycOBAYmJiSEhIIDQ0lNjYWCwWCxMnTrz9d+iCO+64g/MXy2jeZYhHtif1Q0neDu644w5TM1y8eJFCawUphy6YmkPqlvPWCiouXnTrNqo953D9OQ7/+9//WLFiBUOHDmXw4MEkJydz/Pjxm67cYrEQHx9PUFAQAIcOHaJLly506tSJpk2bEhUVRUZGBmfOnKG0tJTQ0FAAoqOjycjIqIW3JyIit8Kl4zYXL17EZrPRrFkzAIqLi7l8+fJNX5eYmFhl+ttvvyUwMNA5HRQURH5+vmF+YGCgHksqwtVRbVPrtzz5QBuzo0gdknLoAi3dPKp1qRwiIyMZN24cQ4cOxeFwkJGRwbhx42q8scrKyirnMBwOB15eXj87vyZycnJqnOe6oqKiW36tNGxFRUVkZ2ebun2RG3H3vulSOcyePZvu3bvzz3/+E4D58+czcODAGm+sXbt2zovqAAoKCggKCjLMLywsdB6KclVISAh+fn41zgSQlpYGBSW39Fpp2Fq2bElYWJhp209LS6Oo+hsVSCN1u/umzWar9kO1y18HevTRR3n00UdvOQhAz549OXnyJHl5eXTs2JHNmzczduxYOnTogJ+fH9nZ2YSFhZGenk54ePhtbUtERG6dR78r6ufnx2uvvcasWbOw2WwMHDiQYcOGAbB06VLi4uKwWq10796dqVOnejKaiIj8iEfKITMz0/lz37592bhxo2GZ4ODgq4d3RETEdHrYj4iIGKgcRETEQOUgIiIGKgcRETFQOYiIiIHKQUREDFQOIiJioHIQEREDPU3nGj0J7qrKilIAmjT1NzmJ+eyll4C7zI4hYgqVA9C1a1ezI9QZubm5AHTtqj+KcJf2DWm0VA7AM888Y3aEOmPBggUAJCUlmZxERMykcw4iImKgchAREQOVg4iIGOicg0gdd95aQcqhC2bHMJ21rBKAAF99pj1vraClm7ehchCpw/RtqR8UXPsmXftO+p20xP37hspBpA7TN+l+oG/SeZbGZyIiYqByEBERA5WDiIgYqBxERMRA5SAiIgYqBxERMTClHNLT0xk5ciQjR47k9ddfB+DYsWNER0cTERHBwoULqaioMCOaiIhgQjlcuXKFxMREUlNTSU9P58CBA2RlZRETE8OiRYvYunUrDocDi8Xi6WgiInKNx8vBbrdTWVnJlStXqKiooKKigqZNm1JaWkpoaCgA0dHRZGRkeDqaiIhc4/ErpAMCApg9ezbDhw+nWbNm9O7dGx8fHwIDA53LBAYGkp+fX6P15uTk1HbURqmoqAiA7Oxsk5OIVKV907M8Xg7Hjx9n3bp1fP7557Rs2ZIXX3yRPXv24OXl5VzG4XBUmXZFSEgIfn5+tR230UlLSwMgLCzM5CQiVWnfrF02m63aD9UeP6y0e/du+vbty5133omvry/R0dHs27ePgoIC5zKFhYUEBQV5OpqIiFzj8XIIDg4mKyuLkpISHA4HmZmZPPjgg/j5+TmHi+np6YSHh3s6moiIXOPxw0oPP/wwR48eJTo6Gh8fH3r06MGzzz7L0KFDiYuLw2q10r17d6ZOnerpaCIico0pt+x+9tlnefbZZ6vMCw4Odh5TFBERc+kKaRERMVA5iIiIgcpBREQMVA4iImKgchAREQOVg4iIGKgcRETEQOUgIiIGKgcRETFQOYiIiIHKQUREDFQOIiJioHIQEREDlYOIiBioHERExEDlICIiBioHERExUDmIiIiBykFERAxUDiIiYqByEBERA5WDiIgYqBxERMTAlHLIzMwkOjqa4cOHk5CQAEBWVhZRUVE89thjJCcnmxFLRESu8Xg5fPPNN8THx7NixQo2btzI0aNH2blzJ7GxsaxYsYItW7aQk5PDzp07PR1NRESuaerpDW7fvp0RI0bQrl07AJKTk8nLy6NLly506tQJgKioKDIyMhg4cKCn45kmMzOT7du3mx2D3NxcABYsWGBqjqFDhzJ48GBTM8gP6sL+WVf2TWgc+6fHyyEvLw8fHx9mzJjBuXPnGDRoEL/+9a8JDAx0LhMUFER+fn6N1puTk1PbUT3q5MmTFBUVmR2DZs2aAZie5eTJk2RnZ5uaQX5QF/bPurJvQuPYPz1eDna7nQMHDpCamkrz5s2ZOXMm/v7+eHl5OZdxOBxVpl0REhKCn59fbcf1mLCwMLMjiPws7Z8Nj81mq/ZDtcfLoW3btvTt25c2bdoA8Oijj5KRkYG3t7dzmYKCAoKCgjwdTURErvH4CelHHnmE3bt38/3332O32/niiy8YNmwYJ0+eJC8vD7vdzubNmwkPD/d0NBERucbjI4eePXsyffp0Jk6cSHl5Of3792fChAl07dqVWbNmYbPZGDhwIMOGDfN0NBERucbL4XA4zA5xO64fN6vv5xxERDzpZn87dYW0iIgYqBxERMRA5SAiIgYePyFd266fMikrKzM5iYhI/XH9b+bPnXau9+VQXl4OwIkTJ0xOIiJS/5SXl+Pv72+YX++/rVRZWUlxcTE+Pj41vqpaRKSxcjgclJeX06JFC5o0MZ5hqPflICIitU8npEVExEDlICIiBioHERExUDmIiIiBykFERAxUDiIiYqByEBERA5WDOG3atIkRI0bw2GOPsXr1arPjiFRhtVqJjIzk9OnTZkdpFFQOAkB+fj7JycmsWbOGDRs2sHbtWr7++muzY4kAcPDgQSZMmMCpU6fMjtJoqBwEgKysLPr06UPr1q1p3rw5ERERZGRkmB1LBACLxUJ8fLyeLe9B9f7Ge1I7vv32WwIDA53TQUFBHDp0yMREIj9ITEw0O0Kjo5GDAFdvYPjjGxc6HA7dyFCkEVM5CADt2rWjoKDAOV1QUKAhvEgjpnIQAPr168fevXu5cOECV65cYdu2bYSHh5sdS0RMonMOAsBdd93F3LlzmTp1KuXl5TzxxBM88MADZscSEZPoeQ4iImKgw0oiImKgchAREQOVg4iIGKgcRETEQOUgIiIGKgdpEPbt20dkZKRbt7Fjxw4SEhIA+Mc//sHbb79909dMmTKlxveoWrJkCcuXL7+ljADffPMNs2bNAuD06dP89re/veV1SeOl6xxEXDRkyBCGDBkCwOHDh7l8+bLJiW7s7NmznDx50uwYUs+pHKTBKCkpYe7cueTm5mKz2UhISOC+++5j8eLFHD9+HC8vLwYMGMALL7xA06ZNWbZsGdu3b8fHx4c77riDpKQkgoKC+M1vfsMzzzzDF198QUlJCS+88AKPPfYY69evZ+vWrTz//PN8+umn2O12WrZsyXPPPcfLL79MXl4ely5dokWLFixdupSuXbu6lNtqtbJw4UKOHz9OUFAQ3t7ehIWFAVdvpb5kyRLOnTtHeXk5I0eOZMaMGQC8++677Nixg9LSUq5cucK8efMYPHgwcXFx5Ofn8/TTT7N48WLsdjuLFi3i8OHDFBUVERMTQ0REhNv+H6Rh0GElaTDOnz/PtGnTSE9PZ/z48SxfvpyEhARat27Npk2bWLduHV999RUrV67k3LlzfPTRR6xbt47169fTv39/511o7XY7zZo1Y/369bz11lvExsZy4cIF53Z69uzJ+PHjGTFiBHPnzmXXrl20atWKtWvXsnXrVkJCQmr0sKRly5bh7+9PRkYGb7/9dpVP/TExMYwdO5b169eTlpZGVlYWW7Zs4cyZM2RlZZGamsqmTZuYO3cuy5Ytw9vbm4SEBDp37swHH3wAgM1mo3///nz22WfMmzePN954o5Z+49KQaeQgDUanTp3o2bMnAMHBwaxbt44TJ07wySef4OXlha+vL+PHj+ejjz5i+vTpBAcHM2bMGMLDwwkPD6dv377OdU2ePNm5nm7durF///6f3e6wYcPo1KkTqamp5OXl8a9//atGx/n37t1LbGwsXl5etGnThqFDhwJXR0L79+/n8uXLzvMbJSUlHD9+nBEjRvCnP/2JTZs2kZeXx8GDBykuLr7h+n18fJwjheDgYL777juXs0njpXKQBsPHx8f5s5eXFw6Hw3Ar8srKSioqKmjSpAmrVq3i8OHD7N27l1dffZUBAwbw0ksvAeDt7V3lNT+e/qk1a9ZgsViYNGkSUVFRtG7dusaPsvzxXWyub6uyshKHw8Gnn35Ks2bNALhw4QJ+fn4cOXKE559/nmnTptG/f3969+7N4sWLXfq9iLhCh5WkQXv44YdZtWoVDoeDsrIyLBYL/fr14/jx40RGRnLPPffw3HPPMW3aNA4fPux83YYNGwA4cuQIJ0+epHfv3lXW6+3tTUVFBQC7d+9mzJgx/P73v+dXv/oVmZmZ2O12lzMOGDCAtLQ0KisruXz5Mjt27AAgICCA0NBQUlJSAPj++++ZMGECO3bsYP/+/YSEhPDkk0/y4IMPsmPHDuc2vb29KS8vv/VfmggaOUgDFxcXR0JCAlFRUZSXlzNgwABmzJiBr68vw4cPZ+zYsTRv3hx/f3/i4uKcr/vyyy+xWCxUVlaSnJzML37xiyrr7dOnDy+++CKvvPIKTz31FIsWLSItLQ2A0NBQTpw44XLGWbNmER8fz/Dhw2nTpg3dunVz/tvSpUt55ZVXiIqKoqysjMjISEaNGkVhYSHbtm1j+PDhVFZW8sgjj3D58mWsViv33nsvfn5+PPHEEyQnJ9/mb1AaK92VVeQn7rvvPvbu3UubNm3MjiJiGo0cRNzMarUyadKkG/5bixYtWLNmjYcTidycRg4iImKgE9IiImKgchAREQOVg4iIGKgcRETEQOUgIiIGKgcRETH4f5G1Xd9YZtf9AAAAAElFTkSuQmCC\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "def plot_box(train, cols, col_x = 'hospital_death'):\n",
-    "    for col in cols:\n",
-    "        sns.set_style(\"whitegrid\")\n",
-    "        sns.boxplot(col_x, col, data=train)\n",
-    "        plt.xlabel(col_x) # Set text for the x axis\n",
-    "        plt.ylabel(col)# Set text for y axis\n",
-    "        plt.show()\n",
-    "\n",
-    "num_cols = ['urineoutput_apache','d1_sysbp_max', 'd1_sysbp_min', 'd1_diasbp_max', 'd1_diasbp_min','d1_mbp_max',\n",
-    "            'd1_mbp_min', 'map_apache', 'd1_sysbp_noninvasive_max', 'd1_sysbp_noninvasive_min', 'd1_diasbp_noninvasive_max',\n",
-    "            'd1_diasbp_noninvasive_min', 'd1_mbp_noninvasive_max', 'd1_mbp_noninvasive_min', 'h1_sysbp_max', 'h1_sysbp_min', \n",
-    "            'h1_diasbp_max', 'h1_diasbp_min', 'h1_mbp_max', 'h1_mbp_min', 'h1_sysbp_noninvasive_max', 'h1_sysbp_noninvasive_min',\n",
-    "            'h1_diasbp_noninvasive_max', 'h1_diasbp_noninvasive_min', 'h1_mbp_noninvasive_max', 'h1_mbp_noninvasive_min']\n",
-    "plot_box(train, num_cols)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "def plot_box(train, cols, col_x = 'hospital_death'):\n",
-    "    for col in cols:\n",
-    "        sns.set_style(\"whitegrid\")\n",
-    "        sns.boxplot(col_x, col, data=train)\n",
-    "        plt.xlabel(col_x) # Set text for the x axis\n",
-    "        plt.ylabel(col)# Set text for y axis\n",
-    "        plt.show()\n",
-    "\n",
-    "num_cols = ['d1_creatinine_max', 'd1_creatinine_min', 'creatinine_apache','weight', 'd1_hemaglobin_min', 'd1_hemaglobin_max',\n",
-    "            'd1_heartrate_max', 'd1_heartrate_min', 'heart_rate_apache', 'h1_heartrate_max', 'h1_heartrate_min', \n",
-    "            'd1_resprate_max', 'd1_resprate_min', 'resprate_apache', 'h1_resprate_max', 'h1_resprate_min', 'height', \n",
-    "            'pre_icu_los_days', 'd1_temp_max', 'd1_temp_min', 'temp_apache', 'h1_temp_max', 'h1_temp_min', 'd1_hematocrit_max',\n",
-    "            'd1_hematocrit_min', 'hematocrit_apache']\n",
-    "plot_box(train, num_cols)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "def plot_box(train, cols, col_x = 'hospital_death'):\n",
-    "    for col in cols:\n",
-    "        sns.set_style(\"whitegrid\")\n",
-    "        sns.boxplot(col_x, col, data=train)\n",
-    "        plt.xlabel(col_x) # Set text for the x axis\n",
-    "        plt.ylabel(col)# Set text for y axis\n",
-    "        plt.show()\n",
-    "\n",
-    "num_cols = ['bmi']\n",
-    "plot_box(train, num_cols)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "From reviewing these, I will drop 20 more features...\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(91713, 99)\n"
-     ]
-    },
-    {
-     "data": {
-      "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>hospital_id</th>\n",
-       "      <th>hospital_death</th>\n",
-       "      <th>age</th>\n",
-       "      <th>bmi</th>\n",
-       "      <th>elective_surgery</th>\n",
-       "      <th>ethnicity</th>\n",
-       "      <th>gender</th>\n",
-       "      <th>height</th>\n",
-       "      <th>hospital_admit_source</th>\n",
-       "      <th>icu_admit_source</th>\n",
-       "      <th>...</th>\n",
-       "      <th>aids</th>\n",
-       "      <th>cirrhosis</th>\n",
-       "      <th>diabetes_mellitus</th>\n",
-       "      <th>hepatic_failure</th>\n",
-       "      <th>immunosuppression</th>\n",
-       "      <th>leukemia</th>\n",
-       "      <th>lymphoma</th>\n",
-       "      <th>solid_tumor_with_metastasis</th>\n",
-       "      <th>apache_3j_bodysystem</th>\n",
-       "      <th>apache_2_bodysystem</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>118</td>\n",
-       "      <td>0</td>\n",
-       "      <td>68.0</td>\n",
-       "      <td>22.73</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Caucasian</td>\n",
-       "      <td>M</td>\n",
-       "      <td>180.3</td>\n",
-       "      <td>Floor</td>\n",
-       "      <td>Floor</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>Sepsis</td>\n",
-       "      <td>Cardiovascular</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>81</td>\n",
-       "      <td>0</td>\n",
-       "      <td>77.0</td>\n",
-       "      <td>27.42</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Caucasian</td>\n",
-       "      <td>F</td>\n",
-       "      <td>160.0</td>\n",
-       "      <td>Floor</td>\n",
-       "      <td>Floor</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>Respiratory</td>\n",
-       "      <td>Respiratory</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>118</td>\n",
-       "      <td>0</td>\n",
-       "      <td>25.0</td>\n",
-       "      <td>31.95</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Caucasian</td>\n",
-       "      <td>F</td>\n",
-       "      <td>172.7</td>\n",
-       "      <td>Emergency Department</td>\n",
-       "      <td>Accident &amp; Emergency</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>Metabolic</td>\n",
-       "      <td>Metabolic</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>118</td>\n",
-       "      <td>0</td>\n",
-       "      <td>81.0</td>\n",
-       "      <td>22.64</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Caucasian</td>\n",
-       "      <td>F</td>\n",
-       "      <td>165.1</td>\n",
-       "      <td>Operating Room</td>\n",
-       "      <td>Operating Room / Recovery</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>Cardiovascular</td>\n",
-       "      <td>Cardiovascular</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>33</td>\n",
-       "      <td>0</td>\n",
-       "      <td>19.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Caucasian</td>\n",
-       "      <td>M</td>\n",
-       "      <td>188.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Accident &amp; Emergency</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>Trauma</td>\n",
-       "      <td>Trauma</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 99 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   hospital_id  hospital_death   age    bmi  elective_surgery  ethnicity  \\\n",
-       "0          118               0  68.0  22.73                 0  Caucasian   \n",
-       "1           81               0  77.0  27.42                 0  Caucasian   \n",
-       "2          118               0  25.0  31.95                 0  Caucasian   \n",
-       "3          118               0  81.0  22.64                 1  Caucasian   \n",
-       "4           33               0  19.0    NaN                 0  Caucasian   \n",
-       "\n",
-       "  gender  height hospital_admit_source           icu_admit_source  ...  aids  \\\n",
-       "0      M   180.3                 Floor                      Floor  ...   0.0   \n",
-       "1      F   160.0                 Floor                      Floor  ...   0.0   \n",
-       "2      F   172.7  Emergency Department       Accident & Emergency  ...   0.0   \n",
-       "3      F   165.1        Operating Room  Operating Room / Recovery  ...   0.0   \n",
-       "4      M   188.0                   NaN       Accident & Emergency  ...   0.0   \n",
-       "\n",
-       "  cirrhosis diabetes_mellitus  hepatic_failure  immunosuppression  leukemia  \\\n",
-       "0       0.0               1.0              0.0                0.0       0.0   \n",
-       "1       0.0               1.0              0.0                0.0       0.0   \n",
-       "2       0.0               0.0              0.0                0.0       0.0   \n",
-       "3       0.0               0.0              0.0                0.0       0.0   \n",
-       "4       0.0               0.0              0.0                0.0       0.0   \n",
-       "\n",
-       "   lymphoma  solid_tumor_with_metastasis  apache_3j_bodysystem  \\\n",
-       "0       0.0                          0.0                Sepsis   \n",
-       "1       0.0                          0.0           Respiratory   \n",
-       "2       0.0                          0.0             Metabolic   \n",
-       "3       0.0                          0.0        Cardiovascular   \n",
-       "4       0.0                          0.0                Trauma   \n",
-       "\n",
-       "   apache_2_bodysystem  \n",
-       "0       Cardiovascular  \n",
-       "1          Respiratory  \n",
-       "2            Metabolic  \n",
-       "3       Cardiovascular  \n",
-       "4               Trauma  \n",
-       "\n",
-       "[5 rows x 99 columns]"
-      ]
-     },
-     "execution_count": 29,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "train.drop(['d1_hco3_max','d1_resprate_min', 'h1_resprate_min', 'pre_icu_los_days','d1_sysbp_max', 'd1_diasbp_max',\n",
-    "            'd1_mbp_max', 'd1_diasbp_noninvasive_max', 'd1_mbp_noninvasive_max', 'h1_diasbp_max', 'h1_diasbp_noninvasive_max',\n",
-    "            'h1_mbp_invasive_max', 'h1_diasbp_invasive_max', 'h1_diasbp_invasive_min', 'd1_sodium_min', 'd1_calcium_max', \n",
-    "            'sodium_apache', 'd1_spo2_max', 'h1_spo2_max'], \n",
-    "           axis=1,inplace=True)\n",
-    "print(train.shape)\n",
-    "train.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(91713, 98)\n"
-     ]
-    },
-    {
-     "data": {
-      "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>hospital_id</th>\n",
-       "      <th>hospital_death</th>\n",
-       "      <th>age</th>\n",
-       "      <th>elective_surgery</th>\n",
-       "      <th>ethnicity</th>\n",
-       "      <th>gender</th>\n",
-       "      <th>height</th>\n",
-       "      <th>hospital_admit_source</th>\n",
-       "      <th>icu_admit_source</th>\n",
-       "      <th>icu_id</th>\n",
-       "      <th>...</th>\n",
-       "      <th>aids</th>\n",
-       "      <th>cirrhosis</th>\n",
-       "      <th>diabetes_mellitus</th>\n",
-       "      <th>hepatic_failure</th>\n",
-       "      <th>immunosuppression</th>\n",
-       "      <th>leukemia</th>\n",
-       "      <th>lymphoma</th>\n",
-       "      <th>solid_tumor_with_metastasis</th>\n",
-       "      <th>apache_3j_bodysystem</th>\n",
-       "      <th>apache_2_bodysystem</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>118</td>\n",
-       "      <td>0</td>\n",
-       "      <td>68.0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Caucasian</td>\n",
-       "      <td>M</td>\n",
-       "      <td>180.3</td>\n",
-       "      <td>Floor</td>\n",
-       "      <td>Floor</td>\n",
-       "      <td>92</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>Sepsis</td>\n",
-       "      <td>Cardiovascular</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>81</td>\n",
-       "      <td>0</td>\n",
-       "      <td>77.0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Caucasian</td>\n",
-       "      <td>F</td>\n",
-       "      <td>160.0</td>\n",
-       "      <td>Floor</td>\n",
-       "      <td>Floor</td>\n",
-       "      <td>90</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>Respiratory</td>\n",
-       "      <td>Respiratory</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>118</td>\n",
-       "      <td>0</td>\n",
-       "      <td>25.0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Caucasian</td>\n",
-       "      <td>F</td>\n",
-       "      <td>172.7</td>\n",
-       "      <td>Emergency Department</td>\n",
-       "      <td>Accident &amp; Emergency</td>\n",
-       "      <td>93</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>Metabolic</td>\n",
-       "      <td>Metabolic</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>118</td>\n",
-       "      <td>0</td>\n",
-       "      <td>81.0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Caucasian</td>\n",
-       "      <td>F</td>\n",
-       "      <td>165.1</td>\n",
-       "      <td>Operating Room</td>\n",
-       "      <td>Operating Room / Recovery</td>\n",
-       "      <td>92</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>Cardiovascular</td>\n",
-       "      <td>Cardiovascular</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>33</td>\n",
-       "      <td>0</td>\n",
-       "      <td>19.0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Caucasian</td>\n",
-       "      <td>M</td>\n",
-       "      <td>188.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Accident &amp; Emergency</td>\n",
-       "      <td>91</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>Trauma</td>\n",
-       "      <td>Trauma</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 98 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   hospital_id  hospital_death   age  elective_surgery  ethnicity gender  \\\n",
-       "0          118               0  68.0                 0  Caucasian      M   \n",
-       "1           81               0  77.0                 0  Caucasian      F   \n",
-       "2          118               0  25.0                 0  Caucasian      F   \n",
-       "3          118               0  81.0                 1  Caucasian      F   \n",
-       "4           33               0  19.0                 0  Caucasian      M   \n",
-       "\n",
-       "   height hospital_admit_source           icu_admit_source  icu_id  ... aids  \\\n",
-       "0   180.3                 Floor                      Floor      92  ...  0.0   \n",
-       "1   160.0                 Floor                      Floor      90  ...  0.0   \n",
-       "2   172.7  Emergency Department       Accident & Emergency      93  ...  0.0   \n",
-       "3   165.1        Operating Room  Operating Room / Recovery      92  ...  0.0   \n",
-       "4   188.0                   NaN       Accident & Emergency      91  ...  0.0   \n",
-       "\n",
-       "  cirrhosis  diabetes_mellitus  hepatic_failure  immunosuppression  leukemia  \\\n",
-       "0       0.0                1.0              0.0                0.0       0.0   \n",
-       "1       0.0                1.0              0.0                0.0       0.0   \n",
-       "2       0.0                0.0              0.0                0.0       0.0   \n",
-       "3       0.0                0.0              0.0                0.0       0.0   \n",
-       "4       0.0                0.0              0.0                0.0       0.0   \n",
-       "\n",
-       "   lymphoma  solid_tumor_with_metastasis  apache_3j_bodysystem  \\\n",
-       "0       0.0                          0.0                Sepsis   \n",
-       "1       0.0                          0.0           Respiratory   \n",
-       "2       0.0                          0.0             Metabolic   \n",
-       "3       0.0                          0.0        Cardiovascular   \n",
-       "4       0.0                          0.0                Trauma   \n",
-       "\n",
-       "   apache_2_bodysystem  \n",
-       "0       Cardiovascular  \n",
-       "1          Respiratory  \n",
-       "2            Metabolic  \n",
-       "3       Cardiovascular  \n",
-       "4               Trauma  \n",
-       "\n",
-       "[5 rows x 98 columns]"
-      ]
-     },
-     "execution_count": 30,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "train.drop(['bmi'], \n",
-    "           axis=1,inplace=True)\n",
-    "print(train.shape)\n",
-    "train.head()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "There were a number of others that wer questionable, including height and weight.  Leaving them in for now.\n",
-    "# Visualize Class Separation by Categorical Features"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "icu_stay_type\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "gender\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "cat_cols = ['icu_stay_type', 'gender']\n",
-    "\n",
-    "train['dummy'] = np.ones(shape = train.shape[0])\n",
-    "for col in cat_cols:\n",
-    "    print(col)\n",
-    "    counts = train[['dummy', 'hospital_death', col]].groupby(['hospital_death', col], as_index = False).count()\n",
-    "    temp = counts[counts['hospital_death'] == 0][[col, 'dummy']]\n",
-    "    _ = plt.figure(figsize = (10,4))\n",
-    "    plt.subplot(1, 2, 1)\n",
-    "    temp = counts[counts['hospital_death'] == 0][[col, 'dummy']]\n",
-    "    plt.bar(temp[col], temp.dummy)\n",
-    "    plt.xticks(rotation=90)\n",
-    "    plt.title('Counts for ' + col + '\\n Hospital Death')\n",
-    "    plt.ylabel('count')\n",
-    "    plt.subplot(1, 2, 2)\n",
-    "    temp = counts[counts['hospital_death'] == 1][[col, 'dummy']]\n",
-    "    plt.bar(temp[col], temp.dummy)\n",
-    "    plt.xticks(rotation=90)\n",
-    "    plt.title('Counts for ' + col + '\\n Live')\n",
-    "    plt.ylabel('count')\n",
-    "    plt.show()"
-   ]
-  }
- ],
- "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": "3.7.0"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}