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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Autism"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Autism, also known as Autism Spectrum Disorder (ASD), is a neurodevelopmental condition characterized by challenges in social interaction, communication, and repetitive behaviors. Individuals with autism may exhibit a wide range of abilities and symptoms, forming a spectrum. Understanding and accurately classifying autism can be a complex task due to the diversity within the spectrum. Machine Learning (ML) plays a vital role in addressing this challenge by leveraging algorithms to analyze patterns and make predictions based on data."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Data\n",
+    "\n",
+    "ID - ID of the patient\n",
+    "\n",
+    "A1_Score to A10_Score - Score based on Autism Spectrum Quotient (AQ) 10 item screening tool\n",
+    "\n",
+    "age - Age of the patient in years\n",
+    "\n",
+    "gender - Gender of the patient\n",
+    "\n",
+    "ethnicity - Ethnicity of the patient\n",
+    "\n",
+    "jaundice - Whether the patient had jaundice at the time of birth\n",
+    "\n",
+    "autism - Whether an immediate family member has been diagnosed with autism\n",
+    "\n",
+    "contry_of_res - Country of residence of the patient\n",
+    "\n",
+    "used_app_before - Whether the patient has undergone a screening test before\n",
+    "\n",
+    "result - Score for AQ1-10 screening test\n",
+    "\n",
+    "age_desc - Age of the patient\n",
+    "\n",
+    "relation - Relation of patient who completed the test\n",
+    "\n",
+    "Class/ASD - Classified result as 0 or 1. Here 0 represents No and 1 represents Yes. This is the target column, and during submission submit the values as 0 or 1 only."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.preprocessing import StandardScaler\n",
+    "from sklearn.metrics import confusion_matrix, accuracy_score, classification_report\n",
+    "from sklearn.linear_model import LogisticRegression \n",
+    "import joblib\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data=pd.read_csv(\"data.csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ID</th>\n",
+       "      <th>gender</th>\n",
+       "      <th>A1_Score</th>\n",
+       "      <th>A2_Score</th>\n",
+       "      <th>A3_Score</th>\n",
+       "      <th>A4_Score</th>\n",
+       "      <th>A5_Score</th>\n",
+       "      <th>A6_Score</th>\n",
+       "      <th>A7_Score</th>\n",
+       "      <th>A8_Score</th>\n",
+       "      <th>...</th>\n",
+       "      <th>jaundice</th>\n",
+       "      <th>austim</th>\n",
+       "      <th>age</th>\n",
+       "      <th>ethnicity</th>\n",
+       "      <th>contry_of_res</th>\n",
+       "      <th>used_app_before</th>\n",
+       "      <th>result</th>\n",
+       "      <th>relation</th>\n",
+       "      <th>age_desc</th>\n",
+       "      <th>Class/ASD</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>f</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>no</td>\n",
+       "      <td>no</td>\n",
+       "      <td>18.605397</td>\n",
+       "      <td>White-European</td>\n",
+       "      <td>United States</td>\n",
+       "      <td>no</td>\n",
+       "      <td>7.819715</td>\n",
+       "      <td>Self</td>\n",
+       "      <td>18 and more</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>f</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>no</td>\n",
+       "      <td>no</td>\n",
+       "      <td>13.829369</td>\n",
+       "      <td>South Asian</td>\n",
+       "      <td>Australia</td>\n",
+       "      <td>no</td>\n",
+       "      <td>10.544296</td>\n",
+       "      <td>?</td>\n",
+       "      <td>18 and more</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>f</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>no</td>\n",
+       "      <td>no</td>\n",
+       "      <td>14.679893</td>\n",
+       "      <td>White-European</td>\n",
+       "      <td>United Kingdom</td>\n",
+       "      <td>no</td>\n",
+       "      <td>13.167506</td>\n",
+       "      <td>Self</td>\n",
+       "      <td>18 and more</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>f</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>no</td>\n",
+       "      <td>no</td>\n",
+       "      <td>61.035288</td>\n",
+       "      <td>South Asian</td>\n",
+       "      <td>New Zealand</td>\n",
+       "      <td>no</td>\n",
+       "      <td>1.530098</td>\n",
+       "      <td>?</td>\n",
+       "      <td>18 and more</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>m</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>no</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>14.256686</td>\n",
+       "      <td>Black</td>\n",
+       "      <td>Italy</td>\n",
+       "      <td>no</td>\n",
+       "      <td>7.949723</td>\n",
+       "      <td>Self</td>\n",
+       "      <td>18 and more</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>795</th>\n",
+       "      <td>796</td>\n",
+       "      <td>f</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>no</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>42.084907</td>\n",
+       "      <td>White-European</td>\n",
+       "      <td>United States</td>\n",
+       "      <td>no</td>\n",
+       "      <td>13.390868</td>\n",
+       "      <td>Self</td>\n",
+       "      <td>18 and more</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>796</th>\n",
+       "      <td>797</td>\n",
+       "      <td>f</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>no</td>\n",
+       "      <td>no</td>\n",
+       "      <td>17.669291</td>\n",
+       "      <td>Asian</td>\n",
+       "      <td>New Zealand</td>\n",
+       "      <td>no</td>\n",
+       "      <td>9.454201</td>\n",
+       "      <td>Self</td>\n",
+       "      <td>18 and more</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>797</th>\n",
+       "      <td>798</td>\n",
+       "      <td>m</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>no</td>\n",
+       "      <td>18.242557</td>\n",
+       "      <td>White-European</td>\n",
+       "      <td>Jordan</td>\n",
+       "      <td>no</td>\n",
+       "      <td>6.805509</td>\n",
+       "      <td>Self</td>\n",
+       "      <td>18 and more</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>798</th>\n",
+       "      <td>799</td>\n",
+       "      <td>f</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>no</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>19.241473</td>\n",
+       "      <td>Middle Eastern</td>\n",
+       "      <td>United States</td>\n",
+       "      <td>no</td>\n",
+       "      <td>3.682732</td>\n",
+       "      <td>Relative</td>\n",
+       "      <td>18 and more</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>799</th>\n",
+       "      <td>800</td>\n",
+       "      <td>f</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>no</td>\n",
+       "      <td>no</td>\n",
+       "      <td>32.170098</td>\n",
+       "      <td>Asian</td>\n",
+       "      <td>New Zealand</td>\n",
+       "      <td>no</td>\n",
+       "      <td>12.060168</td>\n",
+       "      <td>Self</td>\n",
+       "      <td>18 and more</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>800 rows × 22 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      ID gender  A1_Score  A2_Score  A3_Score  A4_Score  A5_Score  A6_Score  \\\n",
+       "0      1      f         1         0         1         1         1         1   \n",
+       "1      2      f         0         0         0         0         0         0   \n",
+       "2      3      f         1         1         1         1         1         1   \n",
+       "3      4      f         0         0         0         1         0         0   \n",
+       "4      5      m         0         0         0         0         1         0   \n",
+       "..   ...    ...       ...       ...       ...       ...       ...       ...   \n",
+       "795  796      f         1         1         1         1         1         1   \n",
+       "796  797      f         1         1         0         0         1         0   \n",
+       "797  798      m         0         0         0         0         0         0   \n",
+       "798  799      f         1         1         1         1         1         1   \n",
+       "799  800      f         1         0         0         1         1         0   \n",
+       "\n",
+       "     A7_Score  A8_Score  ...  jaundice  austim        age        ethnicity  \\\n",
+       "0           0         1  ...        no      no  18.605397   White-European   \n",
+       "1           0         0  ...        no      no  13.829369      South Asian   \n",
+       "2           0         0  ...        no      no  14.679893   White-European   \n",
+       "3           0         0  ...        no      no  61.035288      South Asian   \n",
+       "4           0         0  ...        no     yes  14.256686            Black   \n",
+       "..        ...       ...  ...       ...     ...        ...              ...   \n",
+       "795         1         1  ...        no     yes  42.084907   White-European   \n",
+       "796         0         0  ...        no      no  17.669291            Asian   \n",
+       "797         1         0  ...       yes      no  18.242557   White-European   \n",
+       "798         0         1  ...        no     yes  19.241473  Middle Eastern    \n",
+       "799         0         1  ...        no      no  32.170098            Asian   \n",
+       "\n",
+       "      contry_of_res used_app_before     result  relation     age_desc  \\\n",
+       "0     United States              no   7.819715      Self  18 and more   \n",
+       "1         Australia              no  10.544296         ?  18 and more   \n",
+       "2    United Kingdom              no  13.167506      Self  18 and more   \n",
+       "3       New Zealand              no   1.530098         ?  18 and more   \n",
+       "4             Italy              no   7.949723      Self  18 and more   \n",
+       "..              ...             ...        ...       ...          ...   \n",
+       "795   United States              no  13.390868      Self  18 and more   \n",
+       "796     New Zealand              no   9.454201      Self  18 and more   \n",
+       "797          Jordan              no   6.805509      Self  18 and more   \n",
+       "798   United States              no   3.682732  Relative  18 and more   \n",
+       "799     New Zealand              no  12.060168      Self  18 and more   \n",
+       "\n",
+       "    Class/ASD  \n",
+       "0           0  \n",
+       "1           0  \n",
+       "2           1  \n",
+       "3           0  \n",
+       "4           0  \n",
+       "..        ...  \n",
+       "795         1  \n",
+       "796         0  \n",
+       "797         1  \n",
+       "798         0  \n",
+       "799         0  \n",
+       "\n",
+       "[800 rows x 22 columns]"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ID</th>\n",
+       "      <th>A1_Score</th>\n",
+       "      <th>A2_Score</th>\n",
+       "      <th>A3_Score</th>\n",
+       "      <th>A4_Score</th>\n",
+       "      <th>A5_Score</th>\n",
+       "      <th>A6_Score</th>\n",
+       "      <th>A7_Score</th>\n",
+       "      <th>A8_Score</th>\n",
+       "      <th>A9_Score</th>\n",
+       "      <th>A10_Score</th>\n",
+       "      <th>age</th>\n",
+       "      <th>result</th>\n",
+       "      <th>Class/ASD</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>800.0000</td>\n",
+       "      <td>800.000000</td>\n",
+       "      <td>800.00000</td>\n",
+       "      <td>800.000000</td>\n",
+       "      <td>800.00000</td>\n",
+       "      <td>800.000000</td>\n",
+       "      <td>800.00000</td>\n",
+       "      <td>800.000000</td>\n",
+       "      <td>800.000000</td>\n",
+       "      <td>800.000000</td>\n",
+       "      <td>800.000000</td>\n",
+       "      <td>800.000000</td>\n",
+       "      <td>800.000000</td>\n",
+       "      <td>800.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>400.5000</td>\n",
+       "      <td>0.582500</td>\n",
+       "      <td>0.28625</td>\n",
+       "      <td>0.321250</td>\n",
+       "      <td>0.41500</td>\n",
+       "      <td>0.457500</td>\n",
+       "      <td>0.20875</td>\n",
+       "      <td>0.273750</td>\n",
+       "      <td>0.717500</td>\n",
+       "      <td>0.316250</td>\n",
+       "      <td>0.460000</td>\n",
+       "      <td>28.612306</td>\n",
+       "      <td>7.058530</td>\n",
+       "      <td>0.231250</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>231.0844</td>\n",
+       "      <td>0.493455</td>\n",
+       "      <td>0.45229</td>\n",
+       "      <td>0.467249</td>\n",
+       "      <td>0.49303</td>\n",
+       "      <td>0.498502</td>\n",
+       "      <td>0.40667</td>\n",
+       "      <td>0.446161</td>\n",
+       "      <td>0.450497</td>\n",
+       "      <td>0.465303</td>\n",
+       "      <td>0.498709</td>\n",
+       "      <td>12.872373</td>\n",
+       "      <td>3.788969</td>\n",
+       "      <td>0.421896</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>1.0000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>9.560505</td>\n",
+       "      <td>-2.594654</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>200.7500</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>19.282082</td>\n",
+       "      <td>4.527556</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>400.5000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>25.479960</td>\n",
+       "      <td>6.893472</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>600.2500</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.00000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.00000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>33.154755</td>\n",
+       "      <td>9.892981</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>800.0000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.00000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.00000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.00000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>72.402488</td>\n",
+       "      <td>13.390868</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             ID    A1_Score   A2_Score    A3_Score   A4_Score    A5_Score  \\\n",
+       "count  800.0000  800.000000  800.00000  800.000000  800.00000  800.000000   \n",
+       "mean   400.5000    0.582500    0.28625    0.321250    0.41500    0.457500   \n",
+       "std    231.0844    0.493455    0.45229    0.467249    0.49303    0.498502   \n",
+       "min      1.0000    0.000000    0.00000    0.000000    0.00000    0.000000   \n",
+       "25%    200.7500    0.000000    0.00000    0.000000    0.00000    0.000000   \n",
+       "50%    400.5000    1.000000    0.00000    0.000000    0.00000    0.000000   \n",
+       "75%    600.2500    1.000000    1.00000    1.000000    1.00000    1.000000   \n",
+       "max    800.0000    1.000000    1.00000    1.000000    1.00000    1.000000   \n",
+       "\n",
+       "        A6_Score    A7_Score    A8_Score    A9_Score   A10_Score         age  \\\n",
+       "count  800.00000  800.000000  800.000000  800.000000  800.000000  800.000000   \n",
+       "mean     0.20875    0.273750    0.717500    0.316250    0.460000   28.612306   \n",
+       "std      0.40667    0.446161    0.450497    0.465303    0.498709   12.872373   \n",
+       "min      0.00000    0.000000    0.000000    0.000000    0.000000    9.560505   \n",
+       "25%      0.00000    0.000000    0.000000    0.000000    0.000000   19.282082   \n",
+       "50%      0.00000    0.000000    1.000000    0.000000    0.000000   25.479960   \n",
+       "75%      0.00000    1.000000    1.000000    1.000000    1.000000   33.154755   \n",
+       "max      1.00000    1.000000    1.000000    1.000000    1.000000   72.402488   \n",
+       "\n",
+       "           result   Class/ASD  \n",
+       "count  800.000000  800.000000  \n",
+       "mean     7.058530    0.231250  \n",
+       "std      3.788969    0.421896  \n",
+       "min     -2.594654    0.000000  \n",
+       "25%      4.527556    0.000000  \n",
+       "50%      6.893472    0.000000  \n",
+       "75%      9.892981    0.000000  \n",
+       "max     13.390868    1.000000  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "ID                 0\n",
+       "gender             0\n",
+       "A1_Score           0\n",
+       "A2_Score           0\n",
+       "A3_Score           0\n",
+       "A4_Score           0\n",
+       "A5_Score           0\n",
+       "A6_Score           0\n",
+       "A7_Score           0\n",
+       "A8_Score           0\n",
+       "A9_Score           0\n",
+       "A10_Score          0\n",
+       "jaundice           0\n",
+       "austim             0\n",
+       "age                0\n",
+       "ethnicity          0\n",
+       "contry_of_res      0\n",
+       "used_app_before    0\n",
+       "result             0\n",
+       "relation           0\n",
+       "age_desc           0\n",
+       "Class/ASD          0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data.isna().sum()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Preprocessing"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 1.Data dosen't have a null value"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 2.Data Encoding"
+   ]
+  },
+  {
+   "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>ID</th>\n",
+       "      <th>gender</th>\n",
+       "      <th>A1_Score</th>\n",
+       "      <th>A2_Score</th>\n",
+       "      <th>A3_Score</th>\n",
+       "      <th>A4_Score</th>\n",
+       "      <th>A5_Score</th>\n",
+       "      <th>A6_Score</th>\n",
+       "      <th>A7_Score</th>\n",
+       "      <th>A8_Score</th>\n",
+       "      <th>...</th>\n",
+       "      <th>jaundice</th>\n",
+       "      <th>austim</th>\n",
+       "      <th>age</th>\n",
+       "      <th>ethnicity</th>\n",
+       "      <th>contry_of_res</th>\n",
+       "      <th>used_app_before</th>\n",
+       "      <th>result</th>\n",
+       "      <th>relation</th>\n",
+       "      <th>age_desc</th>\n",
+       "      <th>Class/ASD</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>f</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>no</td>\n",
+       "      <td>no</td>\n",
+       "      <td>18.605397</td>\n",
+       "      <td>White-European</td>\n",
+       "      <td>United States</td>\n",
+       "      <td>no</td>\n",
+       "      <td>7.819715</td>\n",
+       "      <td>Self</td>\n",
+       "      <td>18 and more</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>f</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>no</td>\n",
+       "      <td>no</td>\n",
+       "      <td>13.829369</td>\n",
+       "      <td>South Asian</td>\n",
+       "      <td>Australia</td>\n",
+       "      <td>no</td>\n",
+       "      <td>10.544296</td>\n",
+       "      <td>?</td>\n",
+       "      <td>18 and more</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>f</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>no</td>\n",
+       "      <td>no</td>\n",
+       "      <td>14.679893</td>\n",
+       "      <td>White-European</td>\n",
+       "      <td>United Kingdom</td>\n",
+       "      <td>no</td>\n",
+       "      <td>13.167506</td>\n",
+       "      <td>Self</td>\n",
+       "      <td>18 and more</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>f</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>no</td>\n",
+       "      <td>no</td>\n",
+       "      <td>61.035288</td>\n",
+       "      <td>South Asian</td>\n",
+       "      <td>New Zealand</td>\n",
+       "      <td>no</td>\n",
+       "      <td>1.530098</td>\n",
+       "      <td>?</td>\n",
+       "      <td>18 and more</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>m</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>no</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>14.256686</td>\n",
+       "      <td>Black</td>\n",
+       "      <td>Italy</td>\n",
+       "      <td>no</td>\n",
+       "      <td>7.949723</td>\n",
+       "      <td>Self</td>\n",
+       "      <td>18 and more</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 22 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   ID gender  A1_Score  A2_Score  A3_Score  A4_Score  A5_Score  A6_Score  \\\n",
+       "0   1      f         1         0         1         1         1         1   \n",
+       "1   2      f         0         0         0         0         0         0   \n",
+       "2   3      f         1         1         1         1         1         1   \n",
+       "3   4      f         0         0         0         1         0         0   \n",
+       "4   5      m         0         0         0         0         1         0   \n",
+       "\n",
+       "   A7_Score  A8_Score  ...  jaundice  austim        age       ethnicity  \\\n",
+       "0         0         1  ...        no      no  18.605397  White-European   \n",
+       "1         0         0  ...        no      no  13.829369     South Asian   \n",
+       "2         0         0  ...        no      no  14.679893  White-European   \n",
+       "3         0         0  ...        no      no  61.035288     South Asian   \n",
+       "4         0         0  ...        no     yes  14.256686           Black   \n",
+       "\n",
+       "    contry_of_res used_app_before     result relation     age_desc Class/ASD  \n",
+       "0   United States              no   7.819715     Self  18 and more         0  \n",
+       "1       Australia              no  10.544296        ?  18 and more         0  \n",
+       "2  United Kingdom              no  13.167506     Self  18 and more         1  \n",
+       "3     New Zealand              no   1.530098        ?  18 and more         0  \n",
+       "4           Italy              no   7.949723     Self  18 and more         0  \n",
+       "\n",
+       "[5 rows x 22 columns]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cat = {'ethnicity':'category',\n",
+    "       'gender':'category', \n",
+    "       'jaundice':'category',\n",
+    "       'austim':'category',\n",
+    "       'contry_of_res':'category', \n",
+    "       'used_app_before':'category',\n",
+    "        'age_desc':'category',\n",
+    "        'relation':'category'}\n",
+    "data = data.astype(cat)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cat_columns = ['ethnicity', 'gender', 'jaundice', 'austim', 'contry_of_res', 'used_app_before', 'age_desc', 'relation']\n",
+    "\n",
+    "for col in cat_columns:\n",
+    "    data[col] = data[col].cat.codes\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "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>ID</th>\n",
+       "      <th>gender</th>\n",
+       "      <th>A1_Score</th>\n",
+       "      <th>A2_Score</th>\n",
+       "      <th>A3_Score</th>\n",
+       "      <th>A4_Score</th>\n",
+       "      <th>A5_Score</th>\n",
+       "      <th>A6_Score</th>\n",
+       "      <th>A7_Score</th>\n",
+       "      <th>A8_Score</th>\n",
+       "      <th>...</th>\n",
+       "      <th>jaundice</th>\n",
+       "      <th>austim</th>\n",
+       "      <th>age</th>\n",
+       "      <th>ethnicity</th>\n",
+       "      <th>contry_of_res</th>\n",
+       "      <th>used_app_before</th>\n",
+       "      <th>result</th>\n",
+       "      <th>relation</th>\n",
+       "      <th>age_desc</th>\n",
+       "      <th>Class/ASD</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>18.605397</td>\n",
+       "      <td>10</td>\n",
+       "      <td>58</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7.819715</td>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>13.829369</td>\n",
+       "      <td>8</td>\n",
+       "      <td>6</td>\n",
+       "      <td>0</td>\n",
+       "      <td>10.544296</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>14.679893</td>\n",
+       "      <td>10</td>\n",
+       "      <td>57</td>\n",
+       "      <td>0</td>\n",
+       "      <td>13.167506</td>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>61.035288</td>\n",
+       "      <td>8</td>\n",
+       "      <td>39</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1.530098</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>14.256686</td>\n",
+       "      <td>2</td>\n",
+       "      <td>32</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7.949723</td>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 22 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   ID  gender  A1_Score  A2_Score  A3_Score  A4_Score  A5_Score  A6_Score  \\\n",
+       "0   1       0         1         0         1         1         1         1   \n",
+       "1   2       0         0         0         0         0         0         0   \n",
+       "2   3       0         1         1         1         1         1         1   \n",
+       "3   4       0         0         0         0         1         0         0   \n",
+       "4   5       1         0         0         0         0         1         0   \n",
+       "\n",
+       "   A7_Score  A8_Score  ...  jaundice  austim        age  ethnicity  \\\n",
+       "0         0         1  ...         0       0  18.605397         10   \n",
+       "1         0         0  ...         0       0  13.829369          8   \n",
+       "2         0         0  ...         0       0  14.679893         10   \n",
+       "3         0         0  ...         0       0  61.035288          8   \n",
+       "4         0         0  ...         0       1  14.256686          2   \n",
+       "\n",
+       "   contry_of_res  used_app_before     result  relation  age_desc  Class/ASD  \n",
+       "0             58                0   7.819715         5         0          0  \n",
+       "1              6                0  10.544296         0         0          0  \n",
+       "2             57                0  13.167506         5         0          1  \n",
+       "3             39                0   1.530098         0         0          0  \n",
+       "4             32                0   7.949723         5         0          0  \n",
+       "\n",
+       "[5 rows x 22 columns]"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ID                   int64\n",
+      "gender                int8\n",
+      "A1_Score             int64\n",
+      "A2_Score             int64\n",
+      "A3_Score             int64\n",
+      "A4_Score             int64\n",
+      "A5_Score             int64\n",
+      "A6_Score             int64\n",
+      "A7_Score             int64\n",
+      "A8_Score             int64\n",
+      "A9_Score             int64\n",
+      "A10_Score            int64\n",
+      "jaundice              int8\n",
+      "austim                int8\n",
+      "age                float64\n",
+      "ethnicity             int8\n",
+      "contry_of_res         int8\n",
+      "used_app_before       int8\n",
+      "result             float64\n",
+      "relation              int8\n",
+      "age_desc              int8\n",
+      "Class/ASD            int64\n",
+      "dtype: object\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(data.dtypes)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 3.Drob unusiful data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data=data.drop('ID', axis=1)\n",
+    "data=data.drop('used_app_before', axis=1)\n",
+    "data=data.drop('relation', axis=1)\n",
+    "data=data.drop('result', axis=1)\n",
+    "data=data.drop('age_desc', axis=1)\n",
+    "data=data.drop('contry_of_res', axis=1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 4.Split Data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "X = data.drop('Class/ASD', axis=1)\n",
+    "y = data['Class/ASD']\n",
+    "X_train, X_val, y_train, y_val = train_test_split(X, y, test_size=0.2, random_state=3)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 5.Standard Scaler\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "scaler = StandardScaler()\n",
+    "X_train = scaler.fit_transform(X_train)\n",
+    "X_val = scaler.transform(X_val)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Classification"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model = LogisticRegression()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-1 {\n",
+       "  /* Definition of color scheme common for light and dark mode */\n",
+       "  --sklearn-color-text: black;\n",
+       "  --sklearn-color-line: gray;\n",
+       "  /* Definition of color scheme for unfitted estimators */\n",
+       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
+       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
+       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
+       "  --sklearn-color-unfitted-level-3: chocolate;\n",
+       "  /* Definition of color scheme for fitted estimators */\n",
+       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
+       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
+       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
+       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
+       "\n",
+       "  /* Specific color for light theme */\n",
+       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
+       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
+       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
+       "  --sklearn-color-icon: #696969;\n",
+       "\n",
+       "  @media (prefers-color-scheme: dark) {\n",
+       "    /* Redefinition of color scheme for dark theme */\n",
+       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
+       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
+       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
+       "    --sklearn-color-icon: #878787;\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 pre {\n",
+       "  padding: 0;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 input.sk-hidden--visually {\n",
+       "  border: 0;\n",
+       "  clip: rect(1px 1px 1px 1px);\n",
+       "  clip: rect(1px, 1px, 1px, 1px);\n",
+       "  height: 1px;\n",
+       "  margin: -1px;\n",
+       "  overflow: hidden;\n",
+       "  padding: 0;\n",
+       "  position: absolute;\n",
+       "  width: 1px;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-dashed-wrapped {\n",
+       "  border: 1px dashed var(--sklearn-color-line);\n",
+       "  margin: 0 0.4em 0.5em 0.4em;\n",
+       "  box-sizing: border-box;\n",
+       "  padding-bottom: 0.4em;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-container {\n",
+       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
+       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
+       "     so we also need the `!important` here to be able to override the\n",
+       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
+       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
+       "  display: inline-block !important;\n",
+       "  position: relative;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-text-repr-fallback {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       "div.sk-parallel-item,\n",
+       "div.sk-serial,\n",
+       "div.sk-item {\n",
+       "  /* draw centered vertical line to link estimators */\n",
+       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
+       "  background-size: 2px 100%;\n",
+       "  background-repeat: no-repeat;\n",
+       "  background-position: center center;\n",
+       "}\n",
+       "\n",
+       "/* Parallel-specific style estimator block */\n",
+       "\n",
+       "#sk-container-id-1 div.sk-parallel-item::after {\n",
+       "  content: \"\";\n",
+       "  width: 100%;\n",
+       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
+       "  flex-grow: 1;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-parallel {\n",
+       "  display: flex;\n",
+       "  align-items: stretch;\n",
+       "  justify-content: center;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  position: relative;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-parallel-item {\n",
+       "  display: flex;\n",
+       "  flex-direction: column;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
+       "  align-self: flex-end;\n",
+       "  width: 50%;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
+       "  align-self: flex-start;\n",
+       "  width: 50%;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
+       "  width: 0;\n",
+       "}\n",
+       "\n",
+       "/* Serial-specific style estimator block */\n",
+       "\n",
+       "#sk-container-id-1 div.sk-serial {\n",
+       "  display: flex;\n",
+       "  flex-direction: column;\n",
+       "  align-items: center;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  padding-right: 1em;\n",
+       "  padding-left: 1em;\n",
+       "}\n",
+       "\n",
+       "\n",
+       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
+       "clickable and can be expanded/collapsed.\n",
+       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
+       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
+       "*/\n",
+       "\n",
+       "/* Pipeline and ColumnTransformer style (default) */\n",
+       "\n",
+       "#sk-container-id-1 div.sk-toggleable {\n",
+       "  /* Default theme specific background. It is overwritten whether we have a\n",
+       "  specific estimator or a Pipeline/ColumnTransformer */\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "}\n",
+       "\n",
+       "/* Toggleable label */\n",
+       "#sk-container-id-1 label.sk-toggleable__label {\n",
+       "  cursor: pointer;\n",
+       "  display: block;\n",
+       "  width: 100%;\n",
+       "  margin-bottom: 0;\n",
+       "  padding: 0.5em;\n",
+       "  box-sizing: border-box;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
+       "  /* Arrow on the left of the label */\n",
+       "  content: \"▸\";\n",
+       "  float: left;\n",
+       "  margin-right: 0.25em;\n",
+       "  color: var(--sklearn-color-icon);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "}\n",
+       "\n",
+       "/* Toggleable content - dropdown */\n",
+       "\n",
+       "#sk-container-id-1 div.sk-toggleable__content {\n",
+       "  max-height: 0;\n",
+       "  max-width: 0;\n",
+       "  overflow: hidden;\n",
+       "  text-align: left;\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-toggleable__content pre {\n",
+       "  margin: 0.2em;\n",
+       "  border-radius: 0.25em;\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
+       "  /* Expand drop-down */\n",
+       "  max-height: 200px;\n",
+       "  max-width: 100%;\n",
+       "  overflow: auto;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
+       "  content: \"▾\";\n",
+       "}\n",
+       "\n",
+       "/* Pipeline/ColumnTransformer-specific style */\n",
+       "\n",
+       "#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Estimator-specific style */\n",
+       "\n",
+       "/* Colorize estimator box */\n",
+       "#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
+       "#sk-container-id-1 div.sk-label label {\n",
+       "  /* The background is the default theme color */\n",
+       "  color: var(--sklearn-color-text-on-default-background);\n",
+       "}\n",
+       "\n",
+       "/* On hover, darken the color of the background */\n",
+       "#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Label box, darken color on hover, fitted */\n",
+       "#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Estimator label */\n",
+       "\n",
+       "#sk-container-id-1 div.sk-label label {\n",
+       "  font-family: monospace;\n",
+       "  font-weight: bold;\n",
+       "  display: inline-block;\n",
+       "  line-height: 1.2em;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-label-container {\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       "/* Estimator-specific */\n",
+       "#sk-container-id-1 div.sk-estimator {\n",
+       "  font-family: monospace;\n",
+       "  border: 1px dotted var(--sklearn-color-border-box);\n",
+       "  border-radius: 0.25em;\n",
+       "  box-sizing: border-box;\n",
+       "  margin-bottom: 0.5em;\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-estimator.fitted {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "/* on hover */\n",
+       "#sk-container-id-1 div.sk-estimator:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
+       "\n",
+       "/* Common style for \"i\" and \"?\" */\n",
+       "\n",
+       ".sk-estimator-doc-link,\n",
+       "a:link.sk-estimator-doc-link,\n",
+       "a:visited.sk-estimator-doc-link {\n",
+       "  float: right;\n",
+       "  font-size: smaller;\n",
+       "  line-height: 1em;\n",
+       "  font-family: monospace;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  border-radius: 1em;\n",
+       "  height: 1em;\n",
+       "  width: 1em;\n",
+       "  text-decoration: none !important;\n",
+       "  margin-left: 1ex;\n",
+       "  /* unfitted */\n",
+       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-unfitted-level-1);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link.fitted,\n",
+       "a:link.sk-estimator-doc-link.fitted,\n",
+       "a:visited.sk-estimator-doc-link.fitted {\n",
+       "  /* fitted */\n",
+       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-fitted-level-1);\n",
+       "}\n",
+       "\n",
+       "/* On hover */\n",
+       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
+       ".sk-estimator-doc-link:hover,\n",
+       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
+       ".sk-estimator-doc-link:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
+       ".sk-estimator-doc-link.fitted:hover,\n",
+       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
+       ".sk-estimator-doc-link.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "/* Span, style for the box shown on hovering the info icon */\n",
+       ".sk-estimator-doc-link span {\n",
+       "  display: none;\n",
+       "  z-index: 9999;\n",
+       "  position: relative;\n",
+       "  font-weight: normal;\n",
+       "  right: .2ex;\n",
+       "  padding: .5ex;\n",
+       "  margin: .5ex;\n",
+       "  width: min-content;\n",
+       "  min-width: 20ex;\n",
+       "  max-width: 50ex;\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  box-shadow: 2pt 2pt 4pt #999;\n",
+       "  /* unfitted */\n",
+       "  background: var(--sklearn-color-unfitted-level-0);\n",
+       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link.fitted span {\n",
+       "  /* fitted */\n",
+       "  background: var(--sklearn-color-fitted-level-0);\n",
+       "  border: var(--sklearn-color-fitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link:hover span {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
+       "\n",
+       "#sk-container-id-1 a.estimator_doc_link {\n",
+       "  float: right;\n",
+       "  font-size: 1rem;\n",
+       "  line-height: 1em;\n",
+       "  font-family: monospace;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  border-radius: 1rem;\n",
+       "  height: 1rem;\n",
+       "  width: 1rem;\n",
+       "  text-decoration: none;\n",
+       "  /* unfitted */\n",
+       "  color: var(--sklearn-color-unfitted-level-1);\n",
+       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 a.estimator_doc_link.fitted {\n",
+       "  /* fitted */\n",
+       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-fitted-level-1);\n",
+       "}\n",
+       "\n",
+       "/* On hover */\n",
+       "#sk-container-id-1 a.estimator_doc_link:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-3);\n",
+       "}\n",
+       "</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;LogisticRegression<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.linear_model.LogisticRegression.html\">?<span>Documentation for LogisticRegression</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>LogisticRegression()</pre></div> </div></div></div></div>"
+      ],
+      "text/plain": [
+       "LogisticRegression()"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "model.fit(X_train, y_train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "y_pred = model.predict(X_val)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accuracy: 0.9\n"
+     ]
+    }
+   ],
+   "source": [
+    "accuracy = accuracy_score(y_val, y_pred)\n",
+    "print(\"Accuracy:\", accuracy)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "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>gender</th>\n",
+       "      <th>A1_Score</th>\n",
+       "      <th>A2_Score</th>\n",
+       "      <th>A3_Score</th>\n",
+       "      <th>A4_Score</th>\n",
+       "      <th>A5_Score</th>\n",
+       "      <th>A6_Score</th>\n",
+       "      <th>A7_Score</th>\n",
+       "      <th>A8_Score</th>\n",
+       "      <th>A9_Score</th>\n",
+       "      <th>A10_Score</th>\n",
+       "      <th>jaundice</th>\n",
+       "      <th>austim</th>\n",
+       "      <th>age</th>\n",
+       "      <th>ethnicity</th>\n",
+       "      <th>Class/ASD</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>18.605397</td>\n",
+       "      <td>10</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>13.829369</td>\n",
+       "      <td>8</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>14.679893</td>\n",
+       "      <td>10</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>61.035288</td>\n",
+       "      <td>8</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>14.256686</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>795</th>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>42.084907</td>\n",
+       "      <td>10</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>796</th>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>17.669291</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>797</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>18.242557</td>\n",
+       "      <td>10</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>798</th>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>19.241473</td>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>799</th>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>32.170098</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>800 rows × 16 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     gender  A1_Score  A2_Score  A3_Score  A4_Score  A5_Score  A6_Score  \\\n",
+       "0         0         1         0         1         1         1         1   \n",
+       "1         0         0         0         0         0         0         0   \n",
+       "2         0         1         1         1         1         1         1   \n",
+       "3         0         0         0         0         1         0         0   \n",
+       "4         1         0         0         0         0         1         0   \n",
+       "..      ...       ...       ...       ...       ...       ...       ...   \n",
+       "795       0         1         1         1         1         1         1   \n",
+       "796       0         1         1         0         0         1         0   \n",
+       "797       1         0         0         0         0         0         0   \n",
+       "798       0         1         1         1         1         1         1   \n",
+       "799       0         1         0         0         1         1         0   \n",
+       "\n",
+       "     A7_Score  A8_Score  A9_Score  A10_Score  jaundice  austim        age  \\\n",
+       "0           0         1         1          1         0       0  18.605397   \n",
+       "1           0         0         0          1         0       0  13.829369   \n",
+       "2           0         0         1          1         0       0  14.679893   \n",
+       "3           0         0         0          0         0       0  61.035288   \n",
+       "4           0         0         1          1         0       1  14.256686   \n",
+       "..        ...       ...       ...        ...       ...     ...        ...   \n",
+       "795         1         1         1          1         0       1  42.084907   \n",
+       "796         0         0         1          1         0       0  17.669291   \n",
+       "797         1         0         1          1         1       0  18.242557   \n",
+       "798         0         1         1          1         0       1  19.241473   \n",
+       "799         0         1         1          1         0       0  32.170098   \n",
+       "\n",
+       "     ethnicity  Class/ASD  \n",
+       "0           10          0  \n",
+       "1            8          0  \n",
+       "2           10          1  \n",
+       "3            8          0  \n",
+       "4            2          0  \n",
+       "..         ...        ...  \n",
+       "795         10          1  \n",
+       "796          1          0  \n",
+       "797         10          1  \n",
+       "798          5          0  \n",
+       "799          1          0  \n",
+       "\n",
+       "[800 rows x 16 columns]"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Test the model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[0]\n"
+     ]
+    }
+   ],
+   "source": [
+    "input_data = np.array([1\t,0\t,0\t,0\t,0\t,0\t,0\t,1\t,0\t,1\t,1\t,1\t,0\t,18.242557\t,10])\n",
+    "input_data_reshaped = input_data.reshape(1, -1)\n",
+    "predication = model.predict(input_data_reshaped)\n",
+    "print(predication)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Save the model and the scaler\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['scaler.pkl']"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "joblib.dump(model, 'autism_model.pkl')\n",
+    "joblib.dump(scaler, 'scaler.pkl')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import joblib\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model = joblib.load(\"autism_model.pkl\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sample_input ={\n",
+    "    \"A1_Score\": 1,\n",
+    "  \"A2_Score\": 0,\n",
+    "  \"A3_Score\": 0,\n",
+    "  \"A4_Score\": 0,\n",
+    "  \"A5_Score\": 0,\n",
+    "  \"A6_Score\": 0,\n",
+    "  \"A7_Score\": 0,\n",
+    "  \"A8_Score\": 1,\n",
+    "  \"A9_Score\": 0,\n",
+    "  \"A10_Score\": 1,\n",
+    "  \"jaundice\": 1,\n",
+    "  \"autism\": 1,\n",
+    "  \"age\": 18.242557,\n",
+    "  \"gender\": 1,\n",
+    "  \"ethnicity\":1\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[ 1.        0.        0.        0.        0.        0.        0.\n",
+      "   1.        0.        1.        1.        1.       18.242557  1.\n",
+      "   1.      ]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "# Given dictionary\n",
+    "data = {\n",
+    "    'A1_Score': 1, 'A2_Score': 0, 'A3_Score': 0, 'A4_Score': 0, 'A5_Score': 0, \n",
+    "    'A6_Score': 0, 'A7_Score': 0, 'A8_Score': 1, 'A9_Score': 0, 'A10_Score': 1, \n",
+    "    'jaundice': 1, 'autism': 1, 'age': 18.242557, \"gender\": 1,\n",
+    "  \"ethnicity\":1\n",
+    "}\n",
+    "\n",
+    "# Convert the dictionary values to a list\n",
+    "data_list = list(data.values())\n",
+    "\n",
+    "# Convert the list to a 2D numpy array\n",
+    "data_array = np.array(data_list).reshape(1, -1)\n",
+    "\n",
+    "print(data_array)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "model.predict(data_array)[0]"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "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": "3.12.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

autism_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9d8ef8aa23c654f82cb2604e6cb6ba12258d903d3b3fedd2f569bcd5a3890eb2
+size 991

data.csv

@@ -0,0 +1,801 @@
+ID,gender,A1_Score,A2_Score,A3_Score,A4_Score,A5_Score,A6_Score,A7_Score,A8_Score,A9_Score,A10_Score,jaundice,austim,age,ethnicity,contry_of_res,used_app_before,result,relation,age_desc,Class/ASD
+1,f,1,0,1,1,1,1,0,1,1,1,no,no,18.60539681,White-European,United States,no,7.819715187,Self,18 and more,0
+2,f,0,0,0,0,0,0,0,0,0,1,no,no,13.82936938,South Asian,Australia,no,10.54429644,?,18 and more,0
+3,f,1,1,1,1,1,1,0,0,1,1,no,no,14.67989264,White-European,United Kingdom,no,13.1675062,Self,18 and more,1
+4,f,0,0,0,1,0,0,0,0,0,0,no,no,61.03528807,South Asian,New Zealand,no,1.530097682,?,18 and more,0
+5,m,0,0,0,0,1,0,0,0,1,1,no,yes,14.25668605,Black,Italy,no,7.949722607,Self,18 and more,0
+6,m,1,0,0,0,0,0,0,1,0,0,no,no,15.57819071,Asian,Nicaragua,no,7.445003289,?,18 and more,0
+7,f,1,1,1,1,1,1,0,1,0,0,no,no,21.36698098,White-European,Canada,no,12.59858317,Self,18 and more,0
+8,m,0,0,0,0,0,0,0,0,0,0,yes,no,28.93006774,Middle Eastern ,United Arab Emirates,no,3.525720056,?,18 and more,0
+9,f,1,1,1,1,1,1,1,1,1,0,yes,no,20.30594341,White-European,United Kingdom,no,11.90246137,Self,18 and more,1
+10,f,0,0,0,0,0,0,1,1,0,1,yes,no,17.96459873,?,United States,no,8.633346444,Self,18 and more,1
+11,m,1,0,0,1,0,0,0,1,0,0,no,no,15.40690273,others,Netherlands,no,1.015305534,?,18 and more,0
+12,f,1,0,0,0,1,0,1,1,0,1,no,no,22.87041047,Middle Eastern ,Australia,no,5.439973417,?,18 and more,0
+13,f,1,0,1,1,1,1,1,1,1,1,yes,yes,29.11206645,White-European,United States,no,12.81112483,Self,18 and more,1
+14,m,1,0,1,1,0,0,0,1,0,0,yes,no,45.7861637,?,New Zealand,no,6.057170377,Self,18 and more,0
+15,f,1,0,0,1,1,0,0,0,1,0,no,no,28.71312905,?,Sri Lanka,no,6.347515321,Self,18 and more,0
+16,f,1,1,0,0,1,0,0,0,0,0,yes,no,36.08435983,Latino,Australia,no,2.983511434,Self,18 and more,1
+17,f,1,1,0,0,0,0,0,0,1,0,no,no,52.20892387,South Asian,United Arab Emirates,no,6.858826004,Self,18 and more,0
+18,m,0,0,0,0,0,0,0,0,0,0,no,no,13.97301145,Middle Eastern ,United Arab Emirates,no,1.573960341,?,18 and more,0
+19,f,0,0,0,0,0,0,0,0,0,1,no,no,15.55955208,?,United Arab Emirates,no,4.426813229,Self,18 and more,0
+20,m,1,0,0,0,0,0,0,0,0,0,no,no,13.99395149,Asian,Canada,yes,7.822974767,Health care professional,18 and more,0
+21,m,0,0,0,0,0,0,0,0,0,0,no,no,24.34811834,Middle Eastern ,India,no,1.418385496,Self,18 and more,0
+22,f,1,1,1,1,1,1,1,1,1,1,yes,yes,38.5945887,White-European,New Zealand,no,13.24903914,Self,18 and more,1
+23,f,0,0,0,0,0,0,1,1,0,0,no,no,37.54394119,Asian,United States,no,4.791004268,Self,18 and more,0
+24,m,1,0,0,0,1,0,0,0,1,1,yes,no,15.77964696,South Asian,United Kingdom,no,6.602036821,Self,18 and more,0
+25,f,1,0,0,1,0,0,1,0,0,0,no,no,37.91975494,?,Nicaragua,no,5.553657029,Parent,18 and more,1
+26,m,1,0,0,0,1,0,0,1,1,1,no,no,31.79042116,?,India,no,8.843999341,Self,18 and more,0
+27,f,1,0,0,1,1,0,1,1,0,1,no,yes,54.51081856,White-European,New Zealand,no,9.516903607,Self,18 and more,0
+28,m,1,0,0,1,1,0,0,1,1,1,no,no,24.2640054,Middle Eastern ,Netherlands,no,2.899589804,Self,18 and more,0
+29,m,1,1,1,1,1,0,0,1,1,1,no,no,44.85675975,White-European,United Kingdom,no,5.388901885,Self,18 and more,1
+30,m,0,1,0,0,0,0,0,1,0,0,no,no,13.71660497,Black,Netherlands,no,4.950485754,Self,18 and more,0
+31,m,1,0,1,1,1,0,1,1,1,1,yes,no,23.01064721,White-European,United States,no,12.66041654,Self,18 and more,1
+32,f,1,0,0,1,0,0,1,1,0,1,no,no,34.48599757,Latino,New Zealand,no,6.624202657,Health care professional,18 and more,0
+33,m,1,0,0,0,1,0,0,1,0,0,no,no,24.62929977,White-European,Armenia,no,0.657363734,Self,18 and more,0
+34,f,0,0,0,0,1,0,1,1,0,0,no,no,45.98472454,Asian,Sierra Leone,no,3.413026832,Self,18 and more,0
+35,m,1,0,0,0,1,0,0,1,0,1,no,no,23.8768401,Latino,India,yes,10.08048811,?,18 and more,0
+36,m,1,0,0,1,0,1,1,1,1,1,no,no,54.53720884,White-European,Argentina,no,5.644474048,Self,18 and more,0
+37,m,1,0,1,1,1,0,0,0,0,0,yes,no,13.53526348,Latino,Azerbaijan,no,4.631590733,Self,18 and more,0
+38,m,1,0,0,0,0,0,0,1,0,0,no,no,25.55286793,?,Iceland,no,1.540616969,?,18 and more,0
+39,f,0,0,1,1,1,1,1,1,1,1,no,no,55.07023813,Middle Eastern ,Egypt,no,13.25243282,Self,18 and more,1
+40,m,1,0,0,0,1,0,0,1,0,0,no,no,44.8700017,Asian,United Arab Emirates,no,7.073171612,Self,18 and more,0
+41,f,1,1,0,0,1,0,1,1,1,1,no,no,14.24974298,South Asian,Serbia,no,12.84156099,Self,18 and more,0
+42,m,1,0,1,1,1,0,1,1,0,1,yes,yes,39.43876274,White-European,United Arab Emirates,no,10.40867918,Self,18 and more,1
+43,m,0,0,0,0,0,0,0,1,0,0,no,no,37.11566426,?,Sri Lanka,no,2.25190921,Relative,18 and more,1
+44,f,0,0,0,0,0,0,0,0,0,0,no,no,16.09705879,?,United Arab Emirates,no,3.855358769,Self,18 and more,0
+45,f,1,1,1,0,0,0,0,1,1,1,no,no,65.6951177,?,United Kingdom,no,7.871215678,Self,18 and more,0
+46,f,1,0,0,1,0,0,0,0,1,1,no,no,17.9297571,Middle Eastern ,United States,no,9.784631775,Self,18 and more,0
+47,f,1,0,0,0,0,0,0,1,1,1,yes,no,38.0985636,Middle Eastern ,Afghanistan,yes,4.975028787,Health care professional,18 and more,0
+48,f,1,1,1,1,1,1,1,1,1,1,no,yes,31.26745092,White-European,United States,no,10.07775141,Self,18 and more,1
+49,m,1,0,0,0,0,0,0,1,0,0,yes,yes,37.37522679,White-European,Costa Rica,no,4.691590642,Self,18 and more,0
+50,m,0,0,0,0,0,0,0,1,0,0,no,no,27.47619568,Asian,United Arab Emirates,no,6.396593911,Self,18 and more,0
+51,f,1,0,0,1,1,0,0,1,0,1,yes,no,24.04423243,White-European,United States,no,10.340678,Self,18 and more,1
+52,f,1,1,1,1,1,1,0,1,1,1,no,yes,15.92003387,White-European,Afghanistan,yes,10.54503923,Parent,18 and more,1
+53,f,1,1,0,1,1,1,1,1,1,1,yes,no,14.39803871,White-European,United States,no,12.88664935,Self,18 and more,1
+54,m,1,1,0,0,0,0,0,1,0,0,no,no,17.63356169,Latino,New Zealand,no,5.709313009,Self,18 and more,0
+55,f,0,0,0,1,0,0,0,1,0,0,no,no,22.14783581,Black,Afghanistan,no,6.534879168,Self,18 and more,0
+56,m,1,0,0,0,0,0,0,1,0,0,no,no,41.71234687,?,United Arab Emirates,no,8.709428864,?,18 and more,0
+57,f,1,0,0,0,0,0,0,1,0,1,no,no,48.56647483,Middle Eastern ,Jordan,no,8.335489926,Parent,18 and more,0
+58,m,0,0,0,1,1,0,0,1,0,1,no,no,51.80196369,?,India,no,11.28614543,Self,18 and more,0
+59,m,0,0,0,0,0,0,0,1,0,1,no,no,30.64667127,?,New Zealand,no,3.705601706,Self,18 and more,0
+60,m,1,1,1,0,0,1,0,1,0,0,no,no,33.05861987,?,Australia,no,0.286266851,Self,18 and more,0
+61,f,0,0,0,0,1,0,0,0,0,0,no,no,20.53650583,Middle Eastern ,Angola,no,6.594542137,Self,18 and more,0
+62,f,1,1,1,1,1,0,0,1,1,1,yes,no,27.24063427,Middle Eastern ,Pakistan,no,7.825169567,Self,18 and more,0
+63,m,0,0,0,0,0,0,0,1,0,0,yes,no,26.30248764,?,Australia,no,9.646207259,Self,18 and more,0
+64,f,1,0,0,0,1,0,1,1,0,0,no,no,32.42403082,White-European,Brazil,no,7.209593788,?,18 and more,0
+65,f,1,0,1,1,1,0,1,1,1,1,no,yes,52.02688326,Middle Eastern ,Ireland,no,12.56780339,Health care professional,18 and more,0
+66,f,1,0,1,1,1,1,1,1,1,0,no,no,44.09821754,White-European,United States,no,8.153973354,Self,18 and more,0
+67,m,1,0,1,1,1,1,0,1,1,1,no,no,21.10272977,White-European,United Kingdom,no,12.60656763,Self,18 and more,1
+68,m,1,0,0,0,0,0,0,1,0,0,no,no,17.51408417,Middle Eastern ,Egypt,no,7.232900229,Self,18 and more,0
+69,f,0,0,0,0,1,0,0,1,0,1,no,no,15.59883742,South Asian,Kazakhstan,no,9.811655578,Self,18 and more,0
+70,m,0,0,0,0,0,0,0,1,0,0,no,no,19.53559466,White-European,Sri Lanka,no,4.070286041,Self,18 and more,0
+71,f,1,0,0,0,1,1,1,1,0,0,no,no,17.42176325,Asian,United Kingdom,no,4.669019897,Self,18 and more,0
+72,f,0,1,0,0,0,0,0,0,0,0,yes,no,17.38545741,Latino,New Zealand,no,7.448004589,Self,18 and more,0
+73,m,0,0,0,0,0,1,0,0,0,1,no,no,9.560504591,Latino,United States,no,7.840968847,Self,18 and more,0
+74,f,0,0,0,0,1,0,0,1,0,1,no,no,25.95016033,White-European,Netherlands,no,9.766300148,Self,18 and more,0
+75,m,1,0,0,0,1,0,1,0,0,0,no,no,35.83746454,?,India,no,9.54909141,Self,18 and more,0
+76,m,1,0,1,0,1,0,0,1,0,0,no,yes,11.54993958,White-European,United States,no,8.933598665,Self,18 and more,0
+77,m,1,1,1,1,1,1,0,1,0,1,no,no,38.67351458,White-European,Viet Nam,no,9.76324347,Self,18 and more,0
+78,f,0,1,0,0,0,0,1,0,0,0,yes,no,29.6603158,Black,Ethiopia,no,6.214286274,Parent,18 and more,1
+79,f,1,0,0,1,0,0,0,0,1,0,no,no,42.2214725,Turkish,New Zealand,no,3.732497665,Self,18 and more,0
+80,m,0,0,0,0,0,0,0,0,0,0,yes,no,30.57399179,Latino,Austria,no,-2.594654288,?,18 and more,0
+81,f,1,1,1,1,1,1,0,1,1,1,yes,yes,27.58499933,Black,United States,no,10.03619864,Self,18 and more,1
+82,f,1,0,1,1,1,1,1,1,1,1,no,no,12.94714991,White-European,United States,no,13.23949205,Self,18 and more,0
+83,m,0,0,0,0,0,0,0,0,0,0,no,no,30.07064518,Others,India,no,3.614902134,Others,18 and more,0
+84,f,0,1,1,0,0,0,0,1,1,1,no,yes,21.60769114,White-European,Finland,no,9.750764191,Self,18 and more,0
+85,m,1,1,0,0,0,0,0,1,0,0,no,no,18.65259136,Latino,New Zealand,no,12.76442307,?,18 and more,0
+86,f,1,1,0,1,0,0,1,1,0,1,no,no,20.22910815,Asian,New Zealand,no,10.05862243,Self,18 and more,0
+87,m,1,0,0,1,0,0,0,1,0,0,no,no,14.69486744,Asian,India,no,5.224989407,Self,18 and more,0
+88,m,0,0,0,0,0,0,0,0,0,0,no,no,70.80160415,?,United Arab Emirates,no,1.99710083,Self,18 and more,0
+89,m,1,1,1,1,1,0,1,1,1,1,no,no,19.46573847,South Asian,United States,no,4.793345886,Self,18 and more,0
+90,f,0,0,1,0,0,0,1,0,0,0,no,no,29.98828071,Middle Eastern ,United States,no,4.417103419,Self,18 and more,0
+91,f,0,0,0,0,0,0,0,1,0,0,no,no,21.55665806,Middle Eastern ,Italy,no,5.013694417,Parent,18 and more,0
+92,f,1,0,0,0,0,0,0,1,0,1,no,no,28.76435032,Others,France,no,4.606360182,Self,18 and more,0
+93,f,1,1,0,1,1,1,1,1,0,1,no,no,14.4545617,White-European,New Zealand,no,4.695521319,Self,18 and more,0
+94,f,0,0,1,0,0,0,0,0,0,0,no,no,24.27300103,?,Australia,no,9.937854231,Self,18 and more,0
+95,f,1,0,0,0,0,0,0,0,0,0,no,no,24.55505931,Asian,United Arab Emirates,no,3.878289078,Self,18 and more,0
+96,m,1,0,1,1,1,0,0,1,0,1,no,no,28.24751537,?,Australia,no,6.581864991,Self,18 and more,1
+97,f,0,0,0,0,0,0,0,1,0,1,no,no,17.39781861,Asian,Sri Lanka,no,5.071976366,Self,18 and more,0
+98,f,1,1,1,1,1,1,1,1,1,1,no,yes,46.14982009,White-European,United States,no,12.69293695,Self,18 and more,1
+99,m,0,0,0,0,0,0,0,0,0,0,no,no,24.4713742,?,United Kingdom,no,-0.650589998,Self,18 and more,0
+100,m,1,0,0,0,0,0,0,1,0,1,no,no,32.23937347,Asian,United Arab Emirates,no,5.06611889,Self,18 and more,0
+101,f,1,1,1,1,1,1,1,1,1,1,yes,no,69.09837764,Latino,Jordan,no,12.25208458,Self,18 and more,0
+102,f,1,0,0,0,0,0,0,0,0,0,no,no,45.37472227,Asian,Netherlands,no,6.115176125,Parent,18 and more,0
+103,m,0,0,0,0,0,0,0,0,0,0,no,no,47.84566809,Black,India,no,7.566585884,Self,18 and more,0
+104,f,0,0,1,0,0,0,1,0,0,1,yes,no,28.56308891,Asian,Afghanistan,no,3.269826126,Self,18 and more,0
+105,f,0,0,0,0,0,0,0,0,0,0,no,no,13.09682249,Middle Eastern ,India,no,6.284792344,Self,18 and more,0
+106,m,0,0,0,0,0,0,0,1,0,0,no,no,19.80506544,?,United States,no,10.83261719,Self,18 and more,0
+107,m,0,0,0,0,0,0,0,1,0,0,yes,no,27.61175669,?,United Arab Emirates,no,5.095273997,Self,18 and more,0
+108,m,0,1,0,0,1,0,0,0,0,1,no,no,16.7146808,Asian,Afghanistan,no,7.841211971,Parent,18 and more,0
+109,m,0,0,0,1,0,0,0,1,0,0,no,no,26.41488838,Middle Eastern ,Malaysia,no,4.941242446,Self,18 and more,0
+110,f,0,0,0,0,0,0,0,0,0,0,yes,no,29.33349476,?,Afghanistan,no,4.998445064,Self,18 and more,0
+111,f,1,0,0,0,0,0,0,0,0,1,yes,no,21.32706907,South Asian,United States,no,10.94097596,Others,18 and more,0
+112,f,0,1,0,0,0,0,1,1,1,0,no,no,67.55850162,South Asian,India,no,5.578162198,Self,18 and more,0
+113,m,1,0,0,0,0,0,0,1,0,0,no,no,18.50446693,?,Sri Lanka,no,2.620210131,?,18 and more,0
+114,f,1,1,0,1,0,1,1,1,0,1,no,no,19.53928574,Hispanic,France,yes,8.07013112,?,18 and more,1
+115,m,0,0,0,0,0,0,0,0,0,0,no,no,31.43579833,Asian,New Zealand,no,5.344506477,Parent,18 and more,0
+116,m,1,0,0,1,1,1,1,1,0,0,yes,no,20.08757477,?,Austria,no,3.430217985,Self,18 and more,0
+117,f,1,0,0,1,0,0,0,1,0,0,no,no,69.05226045,Black,Jordan,no,7.296902543,Others,18 and more,0
+118,m,0,0,0,0,0,0,0,0,0,0,no,no,23.05540341,Middle Eastern ,New Zealand,no,4.449269716,Self,18 and more,0
+119,m,0,1,1,1,1,1,1,1,1,1,yes,no,62.01077975,White-European,United States,no,10.70238151,Self,18 and more,1
+120,m,0,0,0,0,0,0,0,1,0,1,no,no,14.59720978,Black,United Kingdom,no,-1.212396333,Self,18 and more,0
+121,m,1,0,0,0,0,0,0,0,0,0,no,no,47.87638561,White-European,United Arab Emirates,no,6.300921052,Self,18 and more,0
+122,f,1,1,1,1,1,1,1,1,1,1,no,yes,42.21516864,White-European,United Kingdom,no,13.32706355,Self,18 and more,1
+123,m,0,1,0,1,1,0,1,0,0,0,no,no,22.62568164,?,Jordan,no,4.396275519,Relative,18 and more,0
+124,f,1,0,1,1,1,1,1,1,1,1,no,no,14.92302777,White-European,Netherlands,no,12.70479673,Self,18 and more,1
+125,f,1,0,1,1,1,1,1,1,1,1,yes,no,53.25270496,White-European,United States,no,12.48470147,Self,18 and more,1
+126,m,0,0,0,0,0,0,0,1,0,0,no,no,25.55856781,Middle Eastern ,United Kingdom,no,3.224013563,?,18 and more,0
+127,f,1,1,1,1,1,0,1,1,1,1,yes,yes,15.47212097,White-European,United States,no,12.62577922,Self,18 and more,1
+128,m,0,0,0,1,1,1,1,1,0,1,no,no,32.86252139,?,United States,no,11.37187551,Self,18 and more,1
+129,f,1,1,1,1,1,1,0,1,1,1,yes,yes,32.4945138,Latino,New Zealand,yes,9.260484285,Self,18 and more,0
+130,f,0,0,0,0,0,0,0,1,0,0,no,no,26.30495213,Middle Eastern ,Viet Nam,no,4.783945805,Self,18 and more,0
+131,f,1,0,1,1,1,1,1,1,1,1,no,no,55.87718249,White-European,United Kingdom,no,11.46899443,Parent,18 and more,1
+132,m,1,1,1,1,0,0,0,1,1,1,no,no,28.16768892,Middle Eastern ,New Zealand,no,5.798850311,Self,18 and more,0
+133,m,1,0,1,1,1,0,0,1,1,1,no,no,18.74165104,Latino,France,yes,8.509552181,Parent,18 and more,1
+134,f,1,1,1,1,1,1,1,1,1,1,no,no,18.24228234,White-European,Jordan,no,13.25738119,Self,18 and more,1
+135,f,1,1,1,1,1,1,0,1,1,1,yes,no,45.17808556,Others,United States,no,12.93862184,Self,18 and more,0
+136,m,1,0,0,1,0,0,0,1,0,1,no,no,26.72393465,White-European,Australia,no,4.385270593,Self,18 and more,0
+137,m,1,1,1,1,1,0,0,1,1,1,yes,no,71.08419062,Asian,Australia,no,9.631162929,Self,18 and more,1
+138,f,0,0,0,1,0,0,0,1,0,0,no,no,25.77650282,?,Canada,no,9.159208904,Self,18 and more,0
+139,m,1,1,0,1,1,1,1,1,1,0,no,yes,18.00560631,White-European,Canada,no,6.703483003,Parent,18 and more,0
+140,m,0,0,1,1,0,0,1,1,0,0,no,no,22.12052239,?,Jordan,no,5.224789303,Self,18 and more,0
+141,m,0,1,1,1,1,0,0,1,1,1,no,no,21.23165613,White-European,United States,no,12.62889495,Self,18 and more,1
+142,f,1,0,1,1,1,0,1,1,1,1,no,no,47.98800877,White-European,United Kingdom,no,9.640370415,Self,18 and more,1
+143,f,0,1,1,1,0,0,0,1,0,1,yes,no,24.65502345,White-European,United Kingdom,yes,2.820220928,Self,18 and more,0
+144,f,1,1,0,1,1,0,0,1,1,1,no,no,19.5181971,Asian,United States,no,11.17609738,Self,18 and more,0
+145,m,1,0,0,0,0,0,0,0,0,1,no,no,29.74431679,Asian,United States,no,4.750577945,Relative,18 and more,0
+146,m,0,0,0,0,0,0,0,0,0,0,no,no,39.70332795,Middle Eastern ,Japan,no,4.908919455,Self,18 and more,0
+147,f,1,0,0,0,0,0,0,1,0,0,no,no,29.31918969,White-European,India,no,3.903968223,Self,18 and more,0
+148,f,1,1,0,1,1,0,0,1,0,0,yes,no,35.72545637,Hispanic,New Zealand,no,6.045432109,Self,18 and more,0
+149,m,0,1,0,1,0,0,0,0,0,0,no,no,27.81662774,Black,United Kingdom,no,1.308156877,Self,18 and more,0
+150,m,1,0,1,1,1,0,0,1,1,1,yes,no,23.45687224,?,India,no,4.528126639,Self,18 and more,0
+151,f,0,0,0,1,1,0,0,1,0,0,yes,yes,24.97098115,Black,India,no,6.321999645,Self,18 and more,0
+152,f,1,1,1,0,0,0,1,1,0,1,no,no,17.03338276,White-European,New Zealand,no,7.175613886,Self,18 and more,0
+153,m,0,0,0,1,0,0,0,0,1,0,no,no,18.56656926,Others,New Zealand,no,10.93789702,Self,18 and more,0
+154,m,1,1,1,1,1,1,1,1,1,1,no,yes,22.57895951,Asian,Austria,no,12.26593849,Self,18 and more,1
+155,m,0,0,0,0,0,0,0,0,0,0,yes,no,20.99807204,Middle Eastern ,Jordan,no,7.260661648,?,18 and more,0
+156,f,1,0,0,1,1,1,0,1,1,1,no,yes,20.85087407,Black,New Zealand,no,8.261758002,Parent,18 and more,1
+157,m,1,1,1,1,1,0,0,1,1,1,no,no,33.15345606,Black,Netherlands,no,9.436401795,Self,18 and more,0
+158,m,0,0,0,0,0,0,0,1,0,0,no,no,16.91617977,Asian,United Arab Emirates,no,4.525843437,Self,18 and more,0
+159,f,1,1,1,1,1,1,1,1,1,1,no,yes,17.49596329,White-European,United States,no,8.904978493,Self,18 and more,1
+160,m,0,0,0,0,0,0,0,0,1,0,no,no,17.56342082,Black,United Arab Emirates,no,7.160638033,Self,18 and more,0
+161,m,0,0,0,1,1,0,0,1,1,1,yes,no,37.38204891,Middle Eastern ,India,no,7.941886935,Self,18 and more,1
+162,m,1,1,1,1,0,0,0,1,1,1,yes,no,17.86860128,White-European,Spain,no,11.11568277,Self,18 and more,0
+163,m,0,0,0,1,0,1,0,1,1,0,no,no,30.68204661,Asian,New Zealand,no,5.615052675,Self,18 and more,0
+164,f,0,0,1,1,1,1,0,1,1,1,yes,no,30.5726803,Asian,New Zealand,no,9.818735624,Self,18 and more,0
+165,m,1,0,1,0,0,0,0,1,0,1,no,no,30.65806538,?,Afghanistan,no,4.820591224,Self,18 and more,0
+166,f,0,0,0,0,1,0,0,1,1,1,yes,no,24.78260151,Asian,India,no,4.522125675,Parent,18 and more,0
+167,f,1,0,0,0,1,1,0,1,0,1,yes,no,20.3267982,Middle Eastern ,United States,no,11.88115013,Self,18 and more,0
+168,f,1,0,0,0,1,0,0,1,0,0,no,no,19.0425534,Asian,United States,yes,7.378649836,Self,18 and more,0
+169,f,1,1,1,1,1,0,1,1,1,1,no,no,35.05333688,?,United Kingdom,yes,12.22051412,Self,18 and more,0
+170,m,0,0,0,0,0,0,0,0,0,0,no,no,31.18446071,Asian,Viet Nam,no,4.614599813,?,18 and more,0
+171,f,0,0,0,0,0,0,0,1,0,0,no,no,22.27304531,?,United Arab Emirates,yes,5.103677971,Self,18 and more,0
+172,f,1,1,1,1,0,0,1,1,1,1,no,no,12.3573003,White-European,United States,no,9.628453432,Self,18 and more,1
+173,f,1,1,1,1,1,1,1,1,1,1,no,yes,55.32273412,White-European,United States,no,13.27453963,Self,18 and more,1
+174,f,1,1,1,1,0,0,0,1,0,1,no,no,64.07729888,Pasifika,India,no,7.308089374,Self,18 and more,0
+175,m,0,0,0,0,1,0,1,0,1,1,no,no,16.99434028,Middle Eastern ,Iceland,no,5.325614476,Self,18 and more,0
+176,m,0,1,0,0,0,0,0,1,0,0,no,no,27.97710674,White-European,India,no,8.390241629,Self,18 and more,1
+177,m,0,0,0,0,0,0,0,1,0,0,no,no,22.38919405,South Asian,New Zealand,no,5.570278988,Relative,18 and more,0
+178,m,0,0,0,0,1,0,0,1,0,1,yes,no,30.63901324,Latino,Jordan,no,2.11659871,Relative,18 and more,0
+179,f,0,0,1,0,0,0,0,1,0,1,no,no,20.29018852,?,Australia,no,8.02232221,Parent,18 and more,0
+180,m,1,1,0,1,0,0,0,1,0,0,no,no,24.87843843,Asian,Jordan,no,7.318053842,Self,18 and more,0
+181,f,1,1,1,1,1,1,1,1,1,1,yes,no,53.31213707,White-European,Australia,no,8.553977333,Self,18 and more,1
+182,m,1,1,1,1,1,1,1,1,1,1,no,no,38.62482504,Pasifika,United Kingdom,no,10.19382235,Self,18 and more,1
+183,m,1,0,0,0,1,0,0,1,0,0,yes,no,12.24753182,Middle Eastern ,United States,no,2.375430861,Self,18 and more,0
+184,m,0,0,0,0,0,0,0,1,0,0,no,no,24.17754462,Asian,India,no,3.744542993,Self,18 and more,0
+185,m,1,0,0,1,1,1,0,1,1,1,yes,no,59.97435003,Asian,Philippines,no,11.37321626,Self,18 and more,0
+186,m,1,0,1,1,1,0,0,1,0,0,yes,no,18.53436695,White-European,Jordan,no,6.460316172,Self,18 and more,1
+187,m,0,0,0,0,0,0,0,1,0,0,no,no,16.53744586,?,United Arab Emirates,no,4.869798393,Others,18 and more,0
+188,f,1,0,0,0,0,0,0,1,0,0,no,no,22.47238061,Middle Eastern ,India,no,4.705954948,Self,18 and more,0
+189,m,1,0,0,0,1,0,0,0,0,0,no,no,54.1267139,Middle Eastern ,Iran,yes,6.385142744,?,18 and more,0
+190,f,1,1,0,0,1,0,1,1,0,0,no,no,26.72591344,Others,Afghanistan,no,8.453439218,Self,18 and more,0
+191,f,0,0,0,0,0,0,0,0,0,0,no,no,27.42240544,Middle Eastern ,Australia,no,1.199615665,?,18 and more,0
+192,m,0,0,0,0,0,0,0,0,0,0,no,no,16.49152984,South Asian,United Arab Emirates,no,4.566825697,?,18 and more,0
+193,f,1,0,0,0,0,0,0,0,0,0,no,no,17.84015282,Middle Eastern ,United Arab Emirates,no,10.58500677,Self,18 and more,0
+194,m,0,0,0,0,0,0,0,0,0,1,no,no,13.00076319,?,India,no,5.692644159,?,18 and more,0
+195,f,0,0,0,1,0,0,0,1,0,0,no,no,21.33664412,?,United States,no,8.376743889,Self,18 and more,0
+196,f,1,1,1,1,1,1,1,1,0,1,yes,no,48.50984312,White-European,Afghanistan,no,11.44296624,Self,18 and more,1
+197,f,0,0,0,0,0,0,0,0,0,0,no,no,24.5500137,Pasifika,United Arab Emirates,no,5.858026532,?,18 and more,0
+198,f,1,1,0,0,0,1,0,1,0,1,yes,no,17.84051133,Hispanic,Jordan,yes,9.190435762,Self,18 and more,0
+199,f,1,0,0,1,0,0,0,1,0,1,no,no,14.67194994,Black,France,no,6.301266432,?,18 and more,0
+200,f,1,0,1,0,0,0,0,0,0,0,no,no,26.13266488,Asian,Jordan,no,9.22865554,?,18 and more,0
+201,f,1,1,1,1,1,1,1,1,1,1,yes,yes,58.23716737,White-European,United States,no,13.38671243,Self,18 and more,1
+202,m,1,1,1,0,0,1,0,0,0,1,no,yes,27.77326719,Black,United States,no,4.504274878,Self,18 and more,0
+203,f,1,1,0,1,0,0,0,1,0,1,no,no,28.39174517,White-European,Brazil,no,4.913809832,Self,18 and more,0
+204,m,1,0,0,0,0,0,0,0,0,0,no,no,38.19603988,Hispanic,Czech Republic,no,4.998207109,Self,18 and more,0
+205,f,0,0,0,0,0,0,0,0,0,1,yes,no,19.48255661,?,India,no,10.71734934,Self,18 and more,0
+206,f,1,0,0,0,0,0,0,1,0,0,no,no,23.10647714,Middle Eastern ,India,no,7.468901184,Self,18 and more,0
+207,f,0,0,1,1,1,0,0,1,0,0,no,no,37.32451578,Asian,Jordan,no,7.223873083,Self,18 and more,0
+208,m,0,0,0,0,0,0,0,0,0,0,no,no,28.0402643,Middle Eastern ,Russia,no,8.75744368,Relative,18 and more,0
+209,f,1,0,1,0,1,0,0,1,1,1,no,yes,42.17293948,White-European,United Arab Emirates,no,6.891238655,Self,18 and more,1
+210,m,1,0,1,1,1,0,0,1,1,1,no,no,16.45927794,Middle Eastern ,India,no,10.83012283,Parent,18 and more,0
+211,f,0,0,0,0,0,0,0,0,0,0,no,no,21.20709159,?,United Arab Emirates,no,3.489950937,Self,18 and more,0
+212,f,0,0,0,0,0,0,0,0,0,0,no,no,14.25136597,?,Jordan,no,-0.396712075,Self,18 and more,0
+213,f,1,0,0,0,0,0,0,0,0,0,no,no,20.39654655,Asian,United States,no,6.044276636,Self,18 and more,0
+214,f,1,1,0,1,1,1,1,1,0,0,no,yes,59.64456984,?,Canada,no,7.536001517,Self,18 and more,0
+215,m,1,0,0,0,0,0,0,0,0,1,no,no,26.27653497,Middle Eastern ,Romania,no,1.273605895,Self,18 and more,0
+216,m,0,0,0,0,0,0,0,0,0,0,no,no,24.50929034,?,United Arab Emirates,no,6.46369743,Self,18 and more,0
+217,f,1,0,0,0,0,0,0,1,0,1,yes,no,50.13199013,Black,New Zealand,no,1.917302604,Self,18 and more,0
+218,m,1,0,0,0,1,0,0,1,0,0,no,no,26.44489182,Asian,United States,no,5.550252113,Self,18 and more,0
+219,f,0,0,1,0,0,0,1,0,1,1,no,yes,31.11362034,?,Jordan,no,11.89953146,Self,18 and more,1
+220,m,1,1,0,0,0,0,0,1,0,0,yes,no,29.12153036,Others,United Kingdom,no,3.205580177,Self,18 and more,0
+221,m,0,0,0,0,0,0,0,1,0,0,no,no,18.25537813,Asian,Czech Republic,no,0.581144869,Self,18 and more,0
+222,m,0,1,0,1,0,0,1,0,1,1,yes,yes,30.488441,White-European,Australia,no,5.477293457,Relative,18 and more,0
+223,f,1,0,0,1,1,0,1,1,1,0,no,yes,44.38044644,White-European,United States,no,12.14966009,Self,18 and more,0
+224,f,1,0,1,0,0,0,0,0,0,1,no,no,28.97897254,?,United Arab Emirates,no,6.819458362,Self,18 and more,0
+225,f,1,0,1,0,0,0,0,1,0,1,no,yes,52.9680159,White-European,Sri Lanka,no,5.107056609,Self,18 and more,0
+226,f,0,0,0,0,1,0,1,0,0,0,no,no,12.03765423,Asian,Canada,no,7.925329707,Self,18 and more,0
+227,m,0,0,0,0,0,0,0,1,0,0,no,no,29.37295411,South Asian,Mexico,no,5.033162205,?,18 and more,0
+228,m,1,0,0,1,1,0,0,1,0,0,no,no,49.34355056,?,United Kingdom,no,6.710785772,Self,18 and more,1
+229,f,0,0,1,1,1,0,0,1,0,1,no,no,23.99403586,Asian,United States,no,2.574220803,Self,18 and more,0
+230,f,1,0,0,0,0,0,0,0,0,1,no,no,23.04771671,Middle Eastern ,Australia,no,6.372565465,Self,18 and more,0
+231,m,0,0,0,0,0,0,0,1,0,0,no,no,39.31612047,Middle Eastern ,Romania,no,0.491429912,Relative,18 and more,0
+232,m,0,0,0,0,0,0,0,0,0,0,no,no,19.52180736,Latino,Austria,no,4.684938463,?,18 and more,0
+233,f,1,1,1,1,1,0,0,1,1,1,no,yes,10.0682642,Hispanic,New Zealand,no,6.852833012,Self,18 and more,0
+234,m,0,0,1,0,1,1,1,1,1,1,no,yes,42.56842778,Asian,United States,no,8.482545581,Self,18 and more,0
+235,f,0,0,0,0,0,0,0,0,0,0,no,no,28.40672129,Asian,United States,no,4.682341003,Relative,18 and more,0
+236,f,1,1,1,1,1,1,0,1,1,1,yes,no,25.17584032,White-European,United Kingdom,no,12.09403623,Self,18 and more,1
+237,f,1,1,0,1,1,0,0,1,1,1,no,no,44.95667763,White-European,United States,yes,9.813100169,Self,18 and more,0
+238,f,1,0,0,1,1,0,0,1,0,1,no,no,12.49217538,White-European,India,no,12.31885744,Self,18 and more,0
+239,m,1,0,1,1,0,0,1,1,1,1,no,no,72.40248841,White-European,United States,no,9.783101189,Self,18 and more,0
+240,f,0,0,0,1,0,0,0,1,0,0,no,no,29.98825247,?,Egypt,no,7.03454204,Relative,18 and more,0
+241,m,1,0,0,1,1,0,0,1,0,1,no,yes,48.53059445,Latino,Belgium,no,4.008542171,Relative,18 and more,1
+242,f,1,0,0,0,0,0,0,1,0,0,no,no,23.30157997,South Asian,United Arab Emirates,no,7.065567751,Relative,18 and more,0
+243,m,0,1,0,0,0,0,1,0,0,0,yes,no,44.21478178,Asian,United Arab Emirates,yes,9.270989784,?,18 and more,0
+244,m,0,0,0,0,0,0,0,0,0,0,no,no,17.97550298,Asian,Netherlands,no,0.334146871,?,18 and more,0
+245,f,0,1,1,1,1,0,0,1,1,0,no,no,41.54513901,White-European,United States,no,11.78183686,Self,18 and more,0
+246,f,1,0,0,1,1,0,0,1,0,0,no,no,26.26550774,Pasifika,India,no,7.021983864,Relative,18 and more,0
+247,m,1,0,0,0,0,0,0,1,0,0,no,no,27.79462444,Middle Eastern ,United Arab Emirates,no,9.196799364,Parent,18 and more,0
+248,m,0,0,0,0,0,0,0,1,0,0,no,no,29.54503981,White-European,Nicaragua,no,4.276302029,Self,18 and more,0
+249,m,0,0,0,0,0,0,0,0,0,0,no,no,23.22476695,?,India,no,0.067869621,?,18 and more,0
+250,m,0,0,0,1,0,0,1,1,1,1,no,no,38.69865911,Asian,India,no,5.405891366,Self,18 and more,0
+251,f,1,0,1,1,0,0,0,1,0,1,no,no,33.15865325,White-European,United Arab Emirates,no,10.36395382,Self,18 and more,0
+252,f,0,1,0,0,0,0,0,0,0,0,no,no,18.54376162,Middle Eastern ,United States,no,8.05311575,Self,18 and more,0
+253,m,0,1,0,0,0,0,0,1,0,1,yes,yes,14.08733098,?,Aruba,no,6.302734927,Self,18 and more,0
+254,f,0,0,0,0,0,0,0,1,0,0,no,no,18.76366889,South Asian,United Arab Emirates,no,6.468329718,?,18 and more,0
+255,m,1,0,1,0,0,0,0,1,1,0,no,yes,30.34815679,Asian,Sri Lanka,no,7.779740928,Self,18 and more,0
+256,m,1,0,0,0,0,0,1,1,0,0,no,no,30.05008465,Pasifika,India,no,5.005139466,Self,18 and more,0
+257,f,1,0,0,0,0,0,0,0,0,0,no,no,19.76478629,Middle Eastern ,Japan,no,6.564945194,Self,18 and more,1
+258,m,1,0,0,0,0,0,0,0,0,1,no,no,12.84895746,Middle Eastern ,Russia,no,5.301532,Others,18 and more,0
+259,f,1,0,0,0,0,0,0,1,0,0,no,no,21.43814876,Asian,New Zealand,no,4.953441874,Self,18 and more,0
+260,f,1,0,0,0,0,0,0,0,0,0,no,no,25.49186707,Others,Australia,no,4.212151999,Self,18 and more,0
+261,f,1,0,0,0,1,1,1,0,0,1,no,no,27.0273135,?,New Zealand,no,4.767911,Relative,18 and more,0
+262,m,1,1,0,0,1,0,0,1,0,1,no,yes,20.26061777,Black,United Kingdom,no,12.33754963,Self,18 and more,0
+263,m,0,1,1,1,0,0,0,0,0,0,no,no,49.78834545,White-European,Uruguay,no,3.043317021,Self,18 and more,0
+264,f,0,0,1,0,0,0,0,1,0,0,no,no,40.57666928,Turkish,Australia,yes,7.7594656,?,18 and more,0
+265,m,1,0,0,0,1,0,0,1,0,0,no,no,15.25926213,?,United States,no,6.448077267,Self,18 and more,0
+266,m,0,0,0,0,1,0,0,1,1,1,no,no,22.3768334,Middle Eastern ,Jordan,no,8.739162812,Self,18 and more,0
+267,m,1,0,0,0,1,1,0,1,0,0,no,no,18.59984127,Middle Eastern ,New Zealand,no,6.777451027,Self,18 and more,0
+268,m,1,0,0,0,1,0,0,1,0,0,no,no,35.45904379,Asian,United Arab Emirates,no,6.152681826,Self,18 and more,0
+269,f,0,0,0,0,0,0,0,0,0,0,no,no,70.45727239,South Asian,Canada,no,3.52634494,?,18 and more,0
+270,m,0,1,1,1,1,0,0,0,1,1,yes,no,64.7846482,Asian,Brazil,no,9.304044275,Parent,18 and more,1
+271,f,1,0,0,0,1,0,0,1,1,0,yes,no,19.41178926,Hispanic,United Kingdom,no,9.620736344,Self,18 and more,0
+272,m,0,0,0,0,0,0,1,1,0,0,no,no,29.29194323,?,United Arab Emirates,no,2.386216264,Self,18 and more,0
+273,f,0,0,0,0,1,0,0,0,0,0,no,no,25.1984157,?,Sri Lanka,no,7.290158394,Self,18 and more,0
+274,f,0,0,0,0,0,0,0,0,0,0,no,no,27.79857497,Others,India,no,0.63630177,Relative,18 and more,0
+275,f,1,0,1,1,1,0,1,0,1,1,yes,no,35.23840537,South Asian,United Kingdom,no,12.05446259,Self,18 and more,0
+276,f,1,1,0,1,1,0,1,1,1,1,no,no,10.5634741,White-European,Jordan,no,11.703504,Self,18 and more,0
+277,f,1,1,0,0,0,0,0,1,0,0,no,no,21.01101122,Middle Eastern ,Sri Lanka,no,8.791906377,Self,18 and more,0
+278,m,0,0,0,1,0,0,1,1,1,0,no,yes,42.48618909,White-European,Australia,no,12.26234366,?,18 and more,0
+279,f,1,1,0,1,0,0,0,1,0,0,no,no,42.75701238,Middle Eastern ,Jordan,yes,-0.524132132,Self,18 and more,0
+280,m,0,1,0,1,1,0,1,1,0,1,yes,no,17.58923301,White-European,United States,no,10.81288329,Self,18 and more,1
+281,m,0,0,1,0,1,0,0,0,0,1,no,no,19.46567705,Asian,Italy,no,4.298842076,Self,18 and more,0
+282,m,0,0,0,0,0,0,0,0,0,0,no,no,17.73800278,Middle Eastern ,United Arab Emirates,no,1.907108929,?,18 and more,0
+283,m,0,0,0,0,0,0,0,0,0,0,yes,no,26.73184805,Asian,United Arab Emirates,no,5.752815448,Self,18 and more,0
+284,m,1,1,1,1,1,1,1,1,1,1,yes,yes,24.3593635,White-European,Australia,no,13.20920533,Self,18 and more,1
+285,f,1,0,0,0,0,0,0,1,0,1,no,no,29.4190243,?,India,no,5.920914216,?,18 and more,1
+286,m,0,0,0,0,1,0,1,1,0,1,no,yes,18.18918108,?,India,no,6.536817286,Self,18 and more,0
+287,m,1,0,0,0,0,0,0,1,0,0,yes,no,21.16633943,Pasifika,Mexico,no,1.927369175,Self,18 and more,0
+288,m,0,0,0,0,0,0,0,0,0,0,no,no,24.88092657,South Asian,New Zealand,no,5.224401384,Self,18 and more,0
+289,m,1,1,0,0,0,0,0,1,0,0,no,no,17.38496811,Middle Eastern ,United Arab Emirates,no,6.033449076,Self,18 and more,0
+290,f,0,0,0,0,0,0,1,0,0,0,no,no,20.84357913,?,Austria,no,7.868742072,Self,18 and more,0
+291,m,0,0,0,0,0,0,0,0,0,0,no,no,13.05526927,Middle Eastern ,Indonesia,no,3.349251469,Self,18 and more,0
+292,f,1,0,0,1,1,0,0,1,0,1,no,no,52.29804788,Asian,United Kingdom,no,11.26167514,Self,18 and more,0
+293,m,1,0,0,0,1,0,0,0,0,1,no,no,14.20305959,South Asian,Ukraine,no,3.533760283,Self,18 and more,0
+294,f,1,0,0,0,1,0,1,1,0,0,no,no,33.1608928,Asian,United States,no,11.75003153,Parent,18 and more,0
+295,f,1,1,1,1,1,1,0,1,1,1,yes,no,23.03114875,Turkish,Kazakhstan,no,11.40019063,Self,18 and more,1
+296,m,0,0,0,0,0,0,0,0,0,0,no,no,31.91563805,Hispanic,New Zealand,no,5.925811077,Self,18 and more,0
+297,m,0,0,0,0,0,0,1,0,0,0,no,no,60.77273685,Asian,United Arab Emirates,no,3.489521042,Self,18 and more,0
+298,m,0,0,0,0,0,0,0,0,0,0,no,no,23.20204756,?,India,no,5.448813597,Self,18 and more,0
+299,f,0,0,0,0,0,0,0,1,0,0,yes,no,23.68015292,Asian,United Arab Emirates,no,8.590826425,Self,18 and more,0
+300,f,0,0,0,0,0,0,0,0,0,0,no,no,30.09420007,?,United Arab Emirates,no,-2.145654186,Self,18 and more,0
+301,f,1,0,0,0,0,0,0,0,0,0,no,no,18.25856763,Asian,United Arab Emirates,no,8.178771633,Self,18 and more,0
+302,f,1,1,1,1,1,1,1,1,1,1,no,yes,30.86833336,Hispanic,Australia,no,4.104718101,Parent,18 and more,1
+303,m,1,0,0,0,0,0,1,1,0,0,yes,no,19.44791381,Asian,Afghanistan,no,9.515771923,Relative,18 and more,0
+304,m,1,0,0,0,0,0,0,1,0,0,yes,no,30.93069813,?,Austria,no,8.09409375,Self,18 and more,0
+305,m,1,1,0,1,1,0,0,1,0,1,no,no,31.30726252,Others,Italy,no,8.224582899,Self,18 and more,0
+306,m,0,0,0,0,1,0,0,0,0,0,no,no,36.56146232,?,India,no,4.76614512,Self,18 and more,0
+307,m,1,0,0,0,0,0,0,0,0,0,yes,no,31.22291175,White-European,Russia,no,1.328079123,Parent,18 and more,0
+308,f,1,0,0,1,1,0,0,0,0,0,no,no,23.2182734,White-European,New Zealand,yes,4.463859974,Self,18 and more,0
+309,m,1,0,0,0,0,0,0,1,0,0,no,no,26.54786312,Middle Eastern ,United Arab Emirates,no,5.316559102,Self,18 and more,0
+310,f,1,0,0,0,1,0,1,1,0,0,no,no,24.95433283,White-European,United States,no,9.725057107,Parent,18 and more,0
+311,m,1,1,0,0,0,0,0,1,0,0,yes,yes,42.68425606,White-European,India,no,5.963798455,Self,18 and more,0
+312,m,1,0,0,0,0,0,0,1,0,0,no,no,13.56535916,Others,Italy,no,7.051900091,Self,18 and more,1
+313,m,1,1,1,0,0,0,0,1,0,1,yes,no,12.86969457,White-European,United States,no,11.81090159,Self,18 and more,1
+314,m,0,0,0,0,0,0,0,1,0,0,no,no,15.37977429,?,New Zealand,no,2.699439316,Self,18 and more,0
+315,m,1,0,1,1,1,0,0,1,1,1,no,no,42.89939647,White-European,United States,no,8.27323597,Parent,18 and more,1
+316,f,1,0,0,0,0,0,1,1,0,0,no,no,31.93818694,Asian,Jordan,no,7.192089823,Relative,18 and more,0
+317,f,1,0,0,0,0,1,0,1,0,1,yes,no,23.82980847,South Asian,Afghanistan,yes,4.550425249,Relative,18 and more,0
+318,f,0,0,0,0,0,0,0,1,0,0,yes,no,12.82718298,South Asian,AmericanSamoa,no,7.872617263,Self,18 and more,0
+319,m,1,0,1,0,1,1,1,1,1,0,no,no,68.00507033,Others,Jordan,no,8.560372176,Self,18 and more,1
+320,m,1,1,1,1,1,1,1,1,1,1,yes,no,31.6665334,White-European,United States,no,9.948601004,Self,18 and more,1
+321,m,1,0,0,1,1,0,0,1,0,0,no,no,24.21829393,Latino,United Kingdom,no,3.029855289,Self,18 and more,0
+322,m,0,0,1,0,1,0,0,1,0,0,yes,no,36.38011773,Middle Eastern ,Germany,no,2.009928568,Relative,18 and more,0
+323,f,1,0,0,0,0,0,1,1,0,0,no,no,18.06833783,Middle Eastern ,Ethiopia,no,11.39723584,?,18 and more,0
+324,f,1,0,1,0,1,1,0,0,0,1,yes,no,20.02135637,Latino,United Arab Emirates,no,6.172033882,Self,18 and more,0
+325,m,1,1,1,1,1,1,1,1,1,1,no,yes,39.62488238,White-European,United States,no,13.08977496,Self,18 and more,1
+326,m,1,0,0,0,0,1,0,1,1,0,no,no,27.62361603,Pasifika,Austria,no,9.073246593,Parent,18 and more,0
+327,f,1,0,1,1,1,0,1,0,0,1,no,no,17.02472387,Middle Eastern ,United Kingdom,yes,5.394525433,Relative,18 and more,0
+328,m,1,0,0,0,0,0,0,1,0,0,no,no,27.02340181,?,Jordan,no,0.551235469,Self,18 and more,0
+329,f,1,0,0,0,0,0,0,0,0,0,no,no,21.46375329,Middle Eastern ,Canada,no,4.972963749,Self,18 and more,0
+330,f,1,0,0,0,1,0,1,1,0,1,no,no,31.2896551,South Asian,United States,no,9.481809578,Relative,18 and more,0
+331,m,1,0,1,1,1,0,0,0,1,0,yes,no,12.83857004,Latino,Malaysia,no,7.04216097,Self,18 and more,0
+332,m,0,0,0,0,0,0,0,1,1,0,no,no,15.8295188,Middle Eastern ,Sri Lanka,no,6.626722769,Self,18 and more,0
+333,m,0,0,0,0,0,0,0,1,0,0,no,no,25.05091735,?,United States,no,0.836056486,Self,18 and more,0
+334,m,0,0,0,1,0,0,0,1,0,0,yes,no,15.29881605,White-European,United Arab Emirates,no,6.220675496,Self,18 and more,0
+335,m,0,0,0,0,0,0,0,1,0,0,yes,no,23.35035887,?,New Zealand,no,4.852378265,Self,18 and more,0
+336,f,0,1,0,0,0,0,0,0,1,1,no,no,16.77398843,Middle Eastern ,Jordan,no,3.91475096,Self,18 and more,0
+337,f,1,0,0,0,0,0,0,1,1,1,no,no,41.49551501,Middle Eastern ,Mexico,no,11.83752622,Self,18 and more,0
+338,f,1,0,0,0,1,0,0,0,0,0,yes,no,24.84610005,Black,New Zealand,no,9.470815192,Self,18 and more,0
+339,f,1,0,0,1,1,0,0,1,1,1,yes,no,28.82518176,Latino,United Kingdom,yes,9.172861611,Self,18 and more,0
+340,m,0,0,0,0,0,0,0,1,0,0,yes,no,23.42443608,?,United Arab Emirates,no,-0.578639469,Self,18 and more,0
+341,m,1,1,1,1,1,0,1,1,0,1,no,no,21.26872388,White-European,United States,no,12.09716243,Self,18 and more,1
+342,f,0,1,0,0,0,0,0,0,0,0,no,no,39.98092074,Middle Eastern ,United Arab Emirates,no,4.24837447,Self,18 and more,0
+343,f,1,0,1,1,1,0,0,1,0,1,no,no,29.68072364,Pasifika,United Kingdom,no,10.74172242,Self,18 and more,0
+344,m,0,0,0,0,1,0,0,1,0,0,no,no,16.33592748,Asian,United Arab Emirates,no,2.10827046,?,18 and more,0
+345,f,0,1,1,1,1,1,1,1,1,1,yes,no,14.24864659,White-European,United States,no,12.98104502,Self,18 and more,0
+346,m,0,0,0,1,1,0,0,1,0,0,no,yes,39.29122616,Pasifika,France,no,12.89944481,Relative,18 and more,0
+347,m,0,0,0,0,0,0,1,1,0,0,no,yes,40.5312181,?,New Zealand,no,5.498083364,Self,18 and more,0
+348,m,1,0,0,0,0,0,0,0,0,0,yes,no,32.24661514,Asian,New Zealand,no,6.474593814,Self,18 and more,0
+349,f,0,0,0,0,0,0,0,1,0,0,yes,no,43.20086314,?,India,no,8.236165183,Parent,18 and more,0
+350,f,1,1,0,1,1,0,1,1,0,1,no,no,26.8411853,White-European,Australia,no,12.35747827,Self,18 and more,0
+351,m,1,0,1,1,1,1,1,1,1,1,no,no,53.679868,Latino,United Kingdom,no,11.57253963,Self,18 and more,1
+352,m,1,0,0,0,1,0,0,1,0,0,no,no,13.82400342,?,New Zealand,no,9.651752567,Self,18 and more,1
+353,m,0,0,0,1,0,0,0,1,0,0,no,no,20.50981094,Asian,Russia,no,5.607472746,Self,18 and more,0
+354,f,1,0,0,0,0,0,0,0,0,1,no,no,17.19178706,?,India,no,3.342984522,Self,18 and more,0
+355,m,0,0,0,0,0,0,0,1,0,1,no,no,19.2414331,?,New Zealand,no,9.644356268,?,18 and more,0
+356,m,1,1,1,0,1,1,1,1,1,1,no,no,32.1208691,Black,Australia,no,12.28760237,Self,18 and more,1
+357,f,0,0,0,0,0,0,0,1,0,0,no,no,31.90788624,Pasifika,United Arab Emirates,no,1.185194016,Self,18 and more,0
+358,f,0,0,0,0,0,0,0,0,0,0,no,no,12.52876169,Middle Eastern ,China,no,2.552895746,Self,18 and more,0
+359,f,0,0,0,0,0,0,0,1,0,0,no,no,16.16648629,Asian,India,no,1.331991392,Self,18 and more,0
+360,f,1,1,1,1,1,0,0,1,0,1,no,no,28.44874139,Latino,United Kingdom,no,6.061296009,Self,18 and more,0
+361,m,1,1,1,1,0,1,0,1,0,1,no,no,29.6550994,Middle Eastern ,Jordan,no,11.96952899,Self,18 and more,0
+362,f,1,1,1,1,1,0,1,1,1,1,yes,no,49.18932273,White-European,Canada,no,12.91535092,Relative,18 and more,1
+363,f,1,0,0,0,0,0,0,0,0,0,no,no,27.02093489,Black,New Zealand,no,3.693445308,Self,18 and more,0
+364,m,0,0,0,0,0,0,0,0,0,1,no,no,21.37635914,?,Afghanistan,no,3.094386119,Self,18 and more,0
+365,m,1,0,1,0,0,0,0,1,0,0,no,yes,45.50121366,Middle Eastern ,India,no,3.644848604,Self,18 and more,0
+366,f,1,0,0,0,0,0,0,1,0,0,no,no,29.22416068,White-European,Jordan,yes,-1.365137187,Self,18 and more,0
+367,m,0,0,1,1,1,0,1,1,1,1,no,yes,62.55643314,Black,United States,no,12.10215808,Self,18 and more,1
+368,f,1,1,1,1,1,0,0,1,0,1,no,yes,18.40592409,Black,Armenia,no,11.30392493,Self,18 and more,0
+369,m,1,0,1,1,1,0,1,1,1,1,no,no,53.27325592,White-European,United States,no,9.629531019,Self,18 and more,1
+370,f,1,0,0,0,0,0,0,0,0,0,no,no,24.123863,Asian,United Arab Emirates,no,5.73739963,?,18 and more,0
+371,f,1,1,0,1,1,0,0,1,0,0,no,no,24.53218093,Asian,United States,no,6.914954875,Self,18 and more,0
+372,m,0,0,0,0,0,0,0,0,0,0,no,no,14.71882514,Middle Eastern ,Iraq,no,2.802334305,Self,18 and more,0
+373,m,1,0,0,1,1,0,0,1,0,1,no,no,20.71728983,White-European,India,no,11.81389184,Self,18 and more,0
+374,f,1,1,1,1,1,1,0,1,1,1,yes,no,59.93790237,Middle Eastern ,Australia,no,13.27367122,Self,18 and more,1
+375,m,0,0,0,0,0,0,0,0,0,0,yes,no,28.80726462,Middle Eastern ,India,no,3.90914495,Self,18 and more,0
+376,f,1,0,0,0,1,0,1,0,0,0,no,no,17.17781586,Black,Tonga,no,5.203429944,Self,18 and more,0
+377,m,0,0,0,0,0,0,0,1,0,0,no,no,27.49343743,?,India,no,3.652764585,Self,18 and more,0
+378,f,1,0,0,0,1,0,1,0,0,1,yes,no,26.86271615,Asian,New Zealand,no,7.138836719,Self,18 and more,0
+379,f,0,0,0,0,0,0,0,0,0,1,no,yes,13.7767075,Black,Malaysia,yes,7.34186051,?,18 and more,0
+380,m,1,0,0,0,0,0,0,1,0,0,no,no,22.08052022,Middle Eastern ,Jordan,no,-1.351506465,Self,18 and more,0
+381,f,0,0,0,0,1,0,0,1,0,1,no,no,24.45652938,?,Czech Republic,no,9.288201929,Self,18 and more,0
+382,m,1,0,1,0,1,0,0,1,0,1,yes,no,17.45912374,White-European,United States,no,5.850855258,Self,18 and more,0
+383,f,0,0,0,0,0,0,0,0,0,0,no,no,24.12367143,Middle Eastern ,United Arab Emirates,no,4.879532866,Self,18 and more,0
+384,m,1,1,1,1,1,0,1,1,1,1,no,no,55.31824746,White-European,India,no,9.444737892,Self,18 and more,1
+385,f,1,1,1,1,1,1,1,1,1,1,yes,yes,42.33192443,White-European,United States,no,13.36258928,Self,18 and more,1
+386,f,1,0,0,1,0,0,1,1,0,1,yes,no,25.4680538,Asian,India,no,3.362363384,Health care professional,18 and more,0
+387,m,0,1,1,0,0,1,1,1,1,1,no,no,35.35945091,White-European,New Zealand,yes,9.665143723,Parent,18 and more,0
+388,f,0,0,0,0,0,0,0,0,0,0,no,no,27.18027983,?,United Arab Emirates,no,0.836639582,?,18 and more,0
+389,f,1,1,1,1,1,1,1,1,1,1,no,yes,54.73967471,White-European,United States,no,12.63225658,Relative,18 and more,1
+390,m,0,0,0,0,0,0,0,1,0,0,no,no,18.08361893,?,United Arab Emirates,no,0.268759344,Self,18 and more,0
+391,f,0,0,0,0,1,0,0,0,0,0,no,no,31.19787597,Asian,Belgium,no,4.368180022,?,18 and more,0
+392,m,0,0,0,0,0,0,0,0,0,0,yes,no,27.99924973,?,United Arab Emirates,no,2.942163053,?,18 and more,0
+393,m,0,0,0,0,0,0,1,1,0,1,no,no,20.37347736,?,New Zealand,no,5.183983433,Self,18 and more,0
+394,m,1,1,1,0,1,0,1,1,1,1,no,no,21.9272415,?,United States,no,7.964066134,Self,18 and more,0
+395,m,1,0,0,0,0,0,0,1,0,0,no,no,23.64302675,Middle Eastern ,Australia,no,3.730796128,Self,18 and more,0
+396,f,0,0,0,0,0,0,0,1,0,0,no,no,18.85460181,White-European,New Zealand,no,-0.114241635,Self,18 and more,0
+397,f,1,0,0,1,1,1,1,1,1,1,no,no,37.50376579,Pasifika,Australia,no,8.308822671,Parent,18 and more,0
+398,f,0,0,0,0,0,0,0,0,0,0,no,no,19.14520463,Asian,Ireland,no,4.381557274,Parent,18 and more,0
+399,f,1,0,0,0,0,0,0,0,0,0,no,no,23.0040436,Pasifika,India,no,4.238468468,?,18 and more,0
+400,f,0,1,1,1,1,1,1,1,1,1,yes,yes,35.04822411,White-European,United States,no,12.30776422,Self,18 and more,1
+401,f,1,1,1,1,1,1,1,1,1,1,no,yes,29.62630088,Asian,Netherlands,no,13.2763215,Self,18 and more,1
+402,m,0,0,0,0,0,0,0,0,0,0,yes,no,29.32415568,Middle Eastern ,Jordan,no,3.291464905,?,18 and more,0
+403,f,1,0,0,0,0,0,0,0,0,0,no,no,16.00881089,South Asian,India,no,-0.731327905,?,18 and more,0
+404,f,1,1,0,0,0,0,0,1,0,0,no,no,27.21368809,Black,Costa Rica,no,7.362717915,Self,18 and more,0
+405,f,1,1,1,1,1,1,0,1,1,1,no,no,33.71533635,Latino,United Kingdom,no,11.36037509,Self,18 and more,1
+406,m,0,0,0,0,0,0,0,1,0,0,yes,no,26.30897678,?,South Africa,no,6.478800441,Self,18 and more,0
+407,m,0,0,0,0,1,0,0,0,0,1,no,no,20.35515932,Middle Eastern ,Armenia,no,9.681837732,Self,18 and more,0
+408,m,0,0,0,0,0,0,0,1,0,0,no,no,17.6883325,?,India,no,2.942578753,Self,18 and more,0
+409,f,1,0,1,1,1,1,0,1,0,1,yes,no,27.88425018,Latino,Italy,no,10.71969383,Self,18 and more,1
+410,f,0,1,1,1,1,1,1,1,1,1,no,yes,71.3560697,White-European,United States,no,12.96966148,Self,18 and more,0
+411,m,1,1,1,0,1,1,1,0,1,1,no,yes,15.70727497,White-European,New Zealand,no,11.63895935,Self,18 and more,0
+412,f,1,1,1,1,1,0,0,1,1,1,no,no,63.75155625,?,United Kingdom,no,8.243807622,Self,18 and more,0
+413,f,0,1,0,1,0,0,0,1,0,0,no,no,21.48013904,?,Aruba,no,7.253067162,Parent,18 and more,1
+414,f,1,0,1,1,1,0,0,1,0,1,no,no,25.99219163,Hispanic,United States,no,0.24570513,Self,18 and more,1
+415,f,1,0,0,0,0,0,0,1,0,0,no,no,47.73008947,Asian,United Arab Emirates,no,4.216112344,Relative,18 and more,0
+416,f,1,1,1,0,1,0,1,1,1,0,no,no,15.36731189,Asian,Australia,no,7.663374849,Self,18 and more,1
+417,f,0,0,1,0,1,0,0,1,0,1,yes,no,45.61232401,White-European,New Zealand,no,7.75216827,Self,18 and more,0
+418,f,1,1,1,1,1,1,1,1,1,1,yes,yes,46.36992639,White-European,United States,no,13.20735144,Parent,18 and more,1
+419,f,0,0,0,1,1,0,0,1,1,1,no,no,18.878002,Asian,United States,no,4.092610809,Self,18 and more,1
+420,m,0,0,1,0,0,0,0,0,0,0,yes,yes,36.71172301,?,New Zealand,no,7.428460284,Self,18 and more,0
+421,m,0,0,0,0,0,0,0,1,0,0,yes,no,22.61521304,Asian,United Arab Emirates,no,1.919248623,Parent,18 and more,0
+422,f,0,1,1,1,1,1,1,1,1,1,yes,no,37.51947298,Middle Eastern ,United Kingdom,no,12.59111873,Self,18 and more,0
+423,f,1,1,1,1,1,1,0,1,0,1,no,no,25.11012862,White-European,Australia,no,2.020266979,Self,18 and more,1
+424,f,1,0,1,0,0,1,0,1,0,0,yes,yes,22.91816929,Middle Eastern ,United Arab Emirates,no,3.184134702,Self,18 and more,1
+425,m,0,1,0,0,0,0,0,0,0,0,no,no,23.1327722,Latino,New Zealand,no,0.094052114,?,18 and more,0
+426,m,0,0,1,1,1,0,0,1,0,1,no,no,42.06175986,White-European,Saudi Arabia,no,7.277024082,Self,18 and more,0
+427,m,1,0,0,0,1,0,0,1,0,1,yes,no,26.22617053,Middle Eastern ,India,no,9.972671946,Self,18 and more,0
+428,m,1,0,0,0,1,0,0,1,0,0,no,no,19.72333156,Others,New Zealand,no,-0.397115644,Self,18 and more,0
+429,f,0,0,1,1,1,0,0,1,0,0,no,no,19.33816764,?,Jordan,no,5.273476284,Self,18 and more,1
+430,m,1,0,0,1,0,0,0,0,0,0,no,no,26.0779911,South Asian,France,no,4.758367591,?,18 and more,0
+431,m,0,0,0,0,0,0,0,0,0,0,no,no,18.50849917,Asian,Afghanistan,no,1.253396324,Parent,18 and more,0
+432,f,1,1,1,1,1,1,1,1,1,1,no,yes,27.52895152,Asian,United States,no,13.04895122,Self,18 and more,1
+433,f,1,0,0,0,0,0,0,0,0,0,no,no,20.09622766,Others,Afghanistan,no,9.449537208,Self,18 and more,0
+434,m,1,0,1,1,1,1,1,1,1,0,yes,yes,62.61132166,White-European,United States,no,12.27861528,Self,18 and more,1
+435,m,1,1,1,1,0,0,0,1,1,1,yes,no,24.12553692,Black,Australia,no,10.21445717,Self,18 and more,0
+436,m,1,0,1,1,1,1,1,1,1,1,yes,no,23.80967704,South Asian,United States,no,13.23101706,Self,18 and more,1
+437,f,1,0,0,0,0,0,1,1,0,0,no,no,27.17141621,Asian,Sri Lanka,no,5.677578058,Self,18 and more,0
+438,f,0,0,0,1,1,0,1,0,0,1,no,no,14.64496199,Black,New Zealand,no,-0.637978548,Self,18 and more,0
+439,m,0,0,1,1,1,1,1,1,0,1,yes,yes,18.1293108,White-European,Hong Kong,no,9.415300732,Self,18 and more,1
+440,m,0,0,0,0,0,0,0,1,0,0,no,no,20.39207733,?,United Arab Emirates,no,4.779981236,Self,18 and more,0
+441,f,1,1,1,1,1,1,1,1,1,1,yes,yes,35.79293299,White-European,United States,no,13.1838067,Self,18 and more,1
+442,f,0,0,0,1,0,0,0,1,0,1,yes,yes,41.36860529,White-European,New Zealand,yes,6.052666568,Relative,18 and more,0
+443,m,0,0,0,0,1,0,1,1,0,0,no,no,38.40680094,?,India,yes,6.928087239,Relative,18 and more,0
+444,f,1,0,0,0,0,0,0,0,0,0,no,no,31.70883972,Asian,India,no,5.862623736,Self,18 and more,0
+445,m,1,0,1,0,0,0,0,1,0,0,no,no,29.36037187,Turkish,Austria,no,5.413757058,Self,18 and more,0
+446,f,1,1,1,1,1,1,1,1,1,1,yes,no,44.77318337,Hispanic,United States,no,13.24973082,Self,18 and more,1
+447,f,0,0,0,0,0,0,0,0,0,0,no,no,33.94300046,?,New Zealand,no,4.797745538,Self,18 and more,0
+448,m,1,1,0,0,1,0,1,1,1,1,no,yes,26.1659676,?,France,no,5.106865272,Self,18 and more,1
+449,f,0,0,0,0,0,0,0,0,0,0,no,no,14.27922507,?,Brazil,no,7.398362069,Self,18 and more,0
+450,m,0,1,0,0,0,0,0,1,0,0,no,no,27.60839705,Black,New Zealand,no,-0.843331801,?,18 and more,0
+451,m,1,0,0,0,0,0,0,1,0,0,no,yes,12.14264103,Latino,Afghanistan,no,-0.053714599,?,18 and more,0
+452,f,1,0,0,1,1,0,1,1,1,1,no,no,32.20423469,Middle Eastern ,United Kingdom,no,10.28273974,Self,18 and more,0
+453,f,0,0,0,0,0,0,0,0,0,1,no,no,18.84329479,South Asian,Jordan,no,9.825040248,Self,18 and more,0
+454,f,1,0,1,1,1,1,0,1,1,1,no,yes,21.32558768,White-European,United States,no,12.69722854,Self,18 and more,1
+455,f,0,1,1,0,1,0,0,1,0,0,no,no,25.81976021,Others,New Zealand,no,0.737685691,Parent,18 and more,0
+456,f,1,1,1,1,1,1,1,1,1,1,no,yes,41.84811585,White-European,United States,no,13.072258,Self,18 and more,1
+457,m,0,0,0,0,0,0,0,1,0,0,no,no,14.40240138,?,India,no,8.086719943,Self,18 and more,0
+458,m,0,0,0,1,0,0,0,1,0,1,no,no,24.22036485,White-European,New Zealand,no,10.83556394,Self,18 and more,0
+459,m,1,0,1,0,1,0,0,0,0,0,no,no,21.56342103,?,India,no,5.027273131,Self,18 and more,0
+460,m,1,0,0,0,0,0,0,0,0,0,no,no,47.96276884,Middle Eastern ,Australia,no,3.738368667,Self,18 and more,0
+461,m,0,0,0,0,1,0,0,1,0,0,yes,no,12.65425437,?,New Zealand,no,9.760875492,Self,18 and more,0
+462,f,0,1,0,0,0,0,0,1,0,1,no,no,18.92173852,Pasifika,Serbia,no,7.140389152,Self,18 and more,0
+463,f,1,0,0,0,0,0,0,1,0,1,yes,no,32.61509975,Asian,Jordan,no,5.777347423,Self,18 and more,0
+464,m,0,1,1,1,0,1,1,1,1,1,no,no,26.92375026,Asian,Russia,no,12.81794677,Self,18 and more,1
+465,m,0,0,0,0,0,0,0,0,0,0,no,no,39.38579107,Middle Eastern ,United Arab Emirates,no,3.120465052,Parent,18 and more,0
+466,f,0,0,0,0,0,0,0,1,0,0,no,no,16.50360662,Middle Eastern ,Bahamas,no,4.708005825,Self,18 and more,0
+467,m,0,0,0,0,0,0,0,1,0,0,no,no,15.95961571,?,South Africa,no,3.386411362,?,18 and more,0
+468,f,0,0,0,0,1,0,1,1,0,0,no,no,40.0526163,?,India,no,3.424795878,Self,18 and more,0
+469,f,1,0,1,1,1,0,0,1,1,0,no,no,48.11471037,White-European,United States,no,7.690646922,Self,18 and more,1
+470,m,1,1,1,1,1,1,1,1,1,1,yes,no,28.70467543,White-European,United States,no,10.55592026,Self,18 and more,1
+471,f,1,1,1,1,1,1,1,1,0,1,no,no,28.30261772,Latino,Austria,no,7.310344773,Self,18 and more,1
+472,m,1,0,0,0,0,0,1,0,0,1,no,no,27.22430953,Asian,United Kingdom,no,2.131516361,Parent,18 and more,0
+473,f,1,0,1,1,1,1,0,1,1,1,yes,no,35.5579975,Latino,United Kingdom,no,9.481148679,Self,18 and more,1
+474,f,1,0,0,0,0,0,0,0,0,0,no,no,24.59416695,Middle Eastern ,Philippines,no,10.7975561,Self,18 and more,0
+475,m,1,0,0,1,1,0,0,1,0,0,yes,no,23.988549,White-European,United States,no,2.244135741,Self,18 and more,0
+476,m,1,1,0,0,1,0,0,1,1,1,yes,no,33.25859799,White-European,Australia,no,0.850671254,Self,18 and more,0
+477,m,0,0,0,0,0,0,1,1,0,0,no,no,31.74017364,Asian,Iran,no,3.974648664,Self,18 and more,0
+478,m,0,1,0,0,0,0,0,1,1,0,no,no,27.26622279,?,Kazakhstan,no,6.893227395,Self,18 and more,0
+479,m,0,0,1,1,1,0,0,0,0,0,no,no,17.10192393,Asian,Costa Rica,no,8.62753184,Self,18 and more,0
+480,f,0,0,0,0,0,0,0,1,0,0,no,no,17.61761346,Pasifika,United Arab Emirates,no,11.36327022,Self,18 and more,0
+481,f,1,0,0,0,1,0,0,1,0,1,no,no,12.76969932,Black,Kazakhstan,no,9.007282599,Self,18 and more,0
+482,f,1,0,1,0,1,0,0,1,0,0,no,no,28.64516606,?,United States,no,6.893716452,Self,18 and more,0
+483,f,0,0,0,0,0,0,0,0,0,0,no,no,20.63988618,?,Ecuador,no,7.054498882,Self,18 and more,0
+484,f,1,0,0,0,0,0,0,0,0,0,no,no,26.33027826,Middle Eastern ,United Arab Emirates,no,11.36501162,Self,18 and more,0
+485,f,0,0,0,0,0,0,0,1,0,0,yes,no,28.96044414,?,Belgium,no,5.416194369,Self,18 and more,0
+486,m,1,1,0,0,1,1,0,0,1,1,no,no,16.51915492,Black,Spain,no,6.540470503,Self,18 and more,0
+487,m,0,0,0,0,0,0,0,0,0,0,no,no,38.92086202,Asian,United Arab Emirates,no,4.684038484,Self,18 and more,0
+488,m,1,0,0,0,0,0,0,1,0,0,yes,yes,12.88899428,Hispanic,Viet Nam,no,3.687846531,Self,18 and more,0
+489,f,1,1,1,1,1,1,0,1,1,1,no,no,31.67681913,?,United States,no,12.22045421,Self,18 and more,1
+490,m,0,0,0,0,0,0,0,1,0,0,no,yes,26.55083095,Black,Russia,no,8.384898353,Self,18 and more,0
+491,f,1,0,1,1,1,0,1,1,1,1,no,no,16.80623143,Asian,Italy,no,7.888463301,Self,18 and more,0
+492,m,1,1,1,1,1,0,1,0,1,1,no,no,22.65097981,White-European,Romania,no,12.38114961,Self,18 and more,1
+493,f,0,0,0,0,0,0,0,0,0,1,no,no,14.91975497,?,United Arab Emirates,no,3.884064981,Self,18 and more,0
+494,m,0,1,0,0,0,0,0,1,0,0,no,no,43.52066788,Others,Iran,no,5.283778686,Parent,18 and more,0
+495,f,0,0,0,0,0,0,0,1,0,0,no,no,18.55221155,Middle Eastern ,United Arab Emirates,no,0.136623352,Self,18 and more,0
+496,m,1,0,1,1,0,1,1,1,0,0,no,no,14.86917251,White-European,United Kingdom,no,9.601139453,Parent,18 and more,1
+497,m,0,0,0,0,0,0,0,0,0,0,no,no,19.25641523,?,New Zealand,no,1.651385643,Self,18 and more,0
+498,f,1,1,1,1,1,1,0,1,0,1,no,yes,22.3696796,White-European,Cyprus,no,12.95596589,Self,18 and more,1
+499,f,0,0,0,0,0,0,0,1,1,1,yes,no,33.01259387,White-European,Jordan,no,5.851810302,Self,18 and more,0
+500,m,1,0,0,0,0,0,0,1,0,0,no,no,24.15741484,?,New Zealand,no,2.681468273,Self,18 and more,0
+501,f,1,1,0,0,0,0,0,1,0,1,no,no,67.41174403,Asian,United States,no,6.963076452,Self,18 and more,0
+502,f,1,0,0,0,0,0,1,0,0,0,no,no,21.55418788,Pasifika,Brazil,no,8.66095379,Self,18 and more,0
+503,f,0,0,0,1,1,0,1,1,1,0,no,no,24.44399463,Pasifika,South Africa,no,5.726659629,Self,18 and more,0
+504,f,0,0,0,0,0,0,0,0,0,0,no,no,13.87320354,Middle Eastern ,Afghanistan,no,7.396045276,Self,18 and more,0
+505,f,0,0,0,0,1,0,0,1,0,0,yes,no,25.30884824,South Asian,United Arab Emirates,no,8.947422892,Self,18 and more,0
+506,f,0,1,0,0,0,0,0,0,1,0,no,no,20.462625,White-European,United Arab Emirates,no,10.02665843,Self,18 and more,0
+507,f,1,0,0,1,0,0,0,1,0,0,no,no,11.79157315,Middle Eastern ,Australia,no,5.699756948,Self,18 and more,0
+508,m,1,1,1,1,1,1,0,1,1,1,no,yes,18.58263362,White-European,Armenia,no,11.64561512,Self,18 and more,1
+509,m,1,0,0,1,1,0,0,1,0,0,no,no,21.72161031,South Asian,China,no,1.807569102,Self,18 and more,0
+510,f,1,1,1,1,1,0,1,1,1,1,yes,yes,16.86475024,White-European,Spain,no,9.485197553,Self,18 and more,1
+511,f,0,0,1,1,1,1,1,1,1,0,yes,no,21.18039464,Black,United States,no,7.175429475,Self,18 and more,0
+512,f,1,0,0,1,1,0,1,1,1,1,no,no,28.39483372,White-European,United Arab Emirates,no,11.77900624,Self,18 and more,0
+513,f,1,1,1,1,1,1,0,1,1,1,no,yes,49.43439359,Latino,United Kingdom,no,12.21654553,Self,18 and more,1
+514,f,1,0,1,1,1,1,1,0,1,0,yes,yes,33.96043139,White-European,United Arab Emirates,no,12.68886365,Self,18 and more,1
+515,f,1,0,0,0,1,0,0,1,0,0,no,no,14.80201297,?,United States,no,6.840066215,?,18 and more,0
+516,m,1,1,1,0,1,0,0,1,0,1,yes,yes,24.32227986,Asian,Bahamas,no,7.727729298,Self,18 and more,0
+517,f,1,1,1,1,1,1,0,1,1,1,yes,no,24.04626135,Black,New Zealand,no,12.55137788,Self,18 and more,1
+518,f,1,1,1,1,1,0,1,1,1,1,no,no,16.49474382,White-European,Austria,no,11.43269455,Self,18 and more,1
+519,m,1,1,1,1,1,1,1,1,1,1,no,no,37.84456589,White-European,United States,yes,12.20785986,Self,18 and more,1
+520,f,1,1,1,1,1,1,1,1,1,1,no,no,27.67536663,White-European,United States,no,13.10683218,Self,18 and more,1
+521,f,0,0,0,0,0,0,0,0,0,0,no,no,39.95680615,Asian,Brazil,no,3.553688051,Parent,18 and more,0
+522,f,1,0,1,1,1,1,1,1,1,1,yes,yes,24.95784588,White-European,United Kingdom,no,6.501704297,Self,18 and more,0
+523,m,0,0,0,0,0,0,0,1,0,1,no,no,69.18521211,White-European,United States,no,2.487216742,Self,18 and more,0
+524,m,0,0,0,1,0,0,0,1,0,1,no,no,12.68882004,White-European,France,no,2.192714583,Self,18 and more,0
+525,f,0,1,0,0,0,0,0,1,0,0,no,no,28.75761551,Black,United Arab Emirates,no,5.107533601,Self,18 and more,0
+526,f,0,0,0,0,0,0,0,1,0,0,no,no,17.20033928,Middle Eastern ,United Arab Emirates,no,1.25410481,Self,18 and more,0
+527,m,0,0,0,1,1,0,0,0,0,0,no,no,33.49453904,?,Kazakhstan,no,9.799758683,Self,18 and more,0
+528,f,1,1,1,1,1,1,1,1,1,1,no,no,23.75933805,White-European,United Kingdom,no,11.06965621,Self,18 and more,1
+529,m,1,1,1,1,1,1,1,1,1,1,yes,no,32.73950568,White-European,United States,no,12.90378653,Self,18 and more,1
+530,m,0,0,0,0,0,0,0,0,0,0,no,no,29.24703151,?,New Zealand,no,4.573765832,Self,18 and more,0
+531,f,0,0,0,0,0,0,0,0,0,1,yes,yes,29.1090159,Asian,Jordan,no,1.82880096,Self,18 and more,0
+532,m,1,0,1,0,1,0,1,1,0,1,no,no,14.78618617,?,United Arab Emirates,yes,3.653084638,?,18 and more,0
+533,m,1,0,0,0,1,0,0,1,0,0,yes,no,29.8900979,?,New Zealand,no,9.507900334,Parent,18 and more,0
+534,f,1,0,0,1,1,1,1,1,1,1,yes,no,19.2906371,Others,Ireland,no,7.007598776,Self,18 and more,1
+535,f,0,0,1,1,1,0,0,0,1,1,no,yes,28.49001339,White-European,United States,no,12.55470746,Self,18 and more,1
+536,f,1,1,1,1,1,1,1,1,1,1,yes,yes,31.07938808,White-European,United States,no,13.30546091,Self,18 and more,1
+537,m,0,0,1,0,0,0,0,1,0,1,yes,no,25.15268641,?,New Zealand,no,5.993903211,Self,18 and more,0
+538,m,1,0,1,0,1,1,0,1,1,1,no,yes,25.55980006,White-European,United States,no,12.16208237,Self,18 and more,1
+539,f,1,0,0,1,0,1,0,1,0,0,no,no,19.83386928,Asian,Mexico,no,5.543136742,Self,18 and more,0
+540,f,1,0,0,1,0,0,0,1,0,1,no,no,25.62275359,White-European,New Zealand,no,11.02925089,Self,18 and more,1
+541,m,0,0,1,0,0,0,0,1,0,0,no,no,39.88924895,White-European,United States,no,6.286347677,Self,18 and more,0
+542,m,1,0,0,0,1,0,0,1,0,1,yes,no,18.45070775,Others,Egypt,no,7.412813177,Self,18 and more,0
+543,f,1,0,0,0,0,0,1,1,0,0,yes,no,25.18548225,Asian,Egypt,no,7.789261955,Self,18 and more,0
+544,f,0,0,0,0,0,0,0,0,0,1,no,no,15.49881136,Middle Eastern ,New Zealand,no,7.113329578,Self,18 and more,0
+545,m,0,0,0,0,0,0,0,0,0,0,no,no,28.63366323,Middle Eastern ,Ethiopia,no,6.889617395,Self,18 and more,0
+546,m,0,0,0,0,0,0,0,1,0,0,no,no,25.25364327,?,India,no,5.693868475,?,18 and more,0
+547,m,0,0,0,0,0,0,0,0,0,0,no,no,23.73521,?,Jordan,no,2.062233051,Self,18 and more,0
+548,f,0,0,0,0,1,0,0,0,0,0,no,no,39.82562563,Asian,Germany,no,4.207514189,Self,18 and more,0
+549,f,1,0,0,0,1,0,1,1,1,1,no,no,27.63221244,Latino,Bangladesh,no,7.727519307,Self,18 and more,0
+550,f,1,1,0,0,0,0,0,1,0,1,no,no,27.88412337,Hispanic,Oman,no,6.528725726,Self,18 and more,0
+551,f,1,0,1,1,1,1,1,1,1,1,no,yes,64.49177551,White-European,United States,no,13.3470969,Self,18 and more,1
+552,m,0,1,0,1,1,1,1,1,0,1,no,yes,29.19566621,Middle Eastern ,United States,no,5.31052325,Parent,18 and more,0
+553,m,1,0,0,0,0,0,0,1,0,0,yes,no,59.62775131,Asian,Aruba,no,1.754276914,Self,18 and more,0
+554,m,1,0,0,1,1,0,0,1,1,0,no,no,26.13549399,Asian,New Zealand,no,4.862571408,Self,18 and more,0
+555,m,0,0,0,0,0,0,0,1,0,0,no,no,30.76696105,Others,United States,no,6.727457312,Self,18 and more,0
+556,f,1,0,0,0,0,0,0,0,0,0,no,no,33.22188797,Middle Eastern ,New Zealand,no,10.73274893,Self,18 and more,0
+557,m,1,1,0,1,0,0,0,1,1,0,no,no,28.30806267,White-European,United Kingdom,no,7.671166337,Self,18 and more,0
+558,m,0,0,0,1,0,0,0,1,0,1,no,no,16.91663828,White-European,India,no,6.020545888,Self,18 and more,0
+559,f,0,1,0,0,0,0,0,1,0,1,no,no,20.35027844,?,New Zealand,no,0.688994763,Self,18 and more,0
+560,f,1,0,0,0,0,0,0,1,0,1,yes,no,45.23752251,?,Costa Rica,no,2.743173797,?,18 and more,0
+561,f,1,1,0,1,1,0,1,1,0,1,no,no,25.94274099,South Asian,Saudi Arabia,yes,9.778755741,Parent,18 and more,0
+562,f,1,0,1,1,0,0,0,1,0,1,no,yes,27.96351288,?,France,no,8.581273571,Self,18 and more,0
+563,f,0,0,0,0,0,0,0,1,0,0,yes,no,46.24912105,Middle Eastern ,South Africa,no,5.782914613,Self,18 and more,0
+564,f,1,0,1,1,1,0,0,0,0,1,no,no,14.23128228,White-European,United States,no,9.704232363,Self,18 and more,1
+565,f,1,0,0,0,1,0,1,1,1,1,yes,no,11.79083405,Latino,Netherlands,no,9.593745261,Self,18 and more,0
+566,f,1,0,1,1,1,1,1,1,1,1,yes,no,55.88994948,White-European,Netherlands,no,9.212422768,Self,18 and more,1
+567,f,1,0,0,0,0,0,0,1,0,1,no,no,25.93838143,Asian,India,no,1.672875939,Self,18 and more,0
+568,f,1,0,0,1,1,0,0,1,0,0,no,no,23.6973814,?,Saudi Arabia,no,8.559973792,Relative,18 and more,0
+569,f,1,0,1,1,1,1,1,1,1,1,no,yes,15.95119764,White-European,United States,no,12.50596588,Self,18 and more,1
+570,m,0,0,0,0,0,0,0,0,0,0,no,no,16.10917192,Middle Eastern ,New Zealand,no,1.44270273,Self,18 and more,0
+571,m,0,0,0,0,0,0,0,0,0,0,no,no,25.9729348,Middle Eastern ,South Africa,no,2.00345701,Self,18 and more,0
+572,m,1,1,1,0,0,0,1,1,0,0,yes,no,57.85843038,White-European,United States,no,-0.349414994,Self,18 and more,0
+573,f,1,1,1,1,1,0,1,1,1,1,no,no,24.75130724,White-European,United States,no,10.12069538,Parent,18 and more,1
+574,f,0,0,0,1,0,0,0,1,0,1,yes,no,24.8442215,Latino,New Zealand,no,5.04311731,Relative,18 and more,0
+575,f,1,1,0,1,1,1,0,1,1,0,yes,no,23.51316509,Asian,Armenia,no,12.079312,Self,18 and more,0
+576,m,1,0,0,1,0,0,1,0,0,0,yes,no,22.4782168,Latino,United Kingdom,no,5.444609358,Self,18 and more,0
+577,f,1,1,0,0,1,1,0,1,0,1,no,no,28.39885554,White-European,United Arab Emirates,no,6.567288576,Self,18 and more,0
+578,m,0,0,0,0,0,0,0,1,0,0,no,no,19.33142065,Pasifika,India,no,5.48397178,Parent,18 and more,0
+579,m,0,0,0,1,1,0,0,0,0,0,no,no,44.13291635,?,Australia,no,8.257198393,Self,18 and more,0
+580,m,1,0,0,0,0,0,0,0,0,0,no,no,27.70375139,Asian,United Arab Emirates,no,4.534432171,Self,18 and more,0
+581,f,1,0,0,1,1,1,0,1,0,1,no,no,13.89784984,Asian,Canada,no,13.10280362,Relative,18 and more,1
+582,f,1,1,1,1,1,1,0,1,1,1,no,no,10.95228869,Latino,United States,no,9.787006383,Self,18 and more,1
+583,m,1,1,1,0,1,0,1,1,1,1,yes,no,42.15462533,Latino,Sri Lanka,no,6.42437464,Self,18 and more,1
+584,f,0,1,1,1,1,0,1,0,1,0,no,yes,21.76023807,Hispanic,United States,no,12.67898436,Self,18 and more,1
+585,m,0,0,0,0,1,0,0,1,0,0,no,no,21.17428599,?,Bolivia,no,7.435090712,Self,18 and more,0
+586,f,1,0,0,0,0,0,0,0,0,0,yes,no,27.20462751,?,United Arab Emirates,no,1.067502884,Self,18 and more,0
+587,m,1,0,0,0,1,0,0,1,0,1,no,no,23.78138492,White-European,New Zealand,no,12.28327873,Relative,18 and more,0
+588,m,1,0,0,1,1,0,0,0,0,0,no,yes,31.45372689,Black,India,no,11.5842652,Self,18 and more,0
+589,f,1,1,1,1,1,1,1,1,1,1,yes,yes,50.28178664,White-European,United States,no,12.77857904,Self,18 and more,1
+590,f,1,0,0,1,1,0,0,1,0,1,no,no,17.29337751,South Asian,United States,no,11.92760166,Self,18 and more,0
+591,m,1,1,0,0,0,0,0,1,0,1,no,no,21.35559283,Asian,Afghanistan,no,-0.404589887,Self,18 and more,0
+592,f,1,1,1,1,1,1,0,1,1,0,no,yes,27.18013388,?,United States,no,12.29586985,Parent,18 and more,1
+593,f,1,1,1,1,1,0,1,1,1,1,no,yes,29.31198078,White-European,United States,no,9.205064641,Self,18 and more,1
+594,f,1,1,1,1,1,1,1,1,1,1,no,yes,54.80676402,White-European,United States,no,13.04400888,Self,18 and more,1
+595,f,1,1,1,1,1,1,1,1,1,1,no,yes,41.75294745,White-European,Armenia,no,12.6449137,Self,18 and more,1
+596,m,0,0,0,1,1,0,0,1,1,1,no,no,54.55295512,Asian,India,no,9.500792744,Self,18 and more,1
+597,f,0,1,0,1,0,0,0,1,0,1,no,no,56.94291339,White-European,Italy,no,11.5758213,Self,18 and more,0
+598,m,0,0,0,0,0,0,0,1,0,0,yes,no,14.3808953,Latino,Brazil,no,5.134490401,?,18 and more,0
+599,f,0,0,0,1,1,0,0,1,0,1,no,no,13.89971779,White-European,Netherlands,no,7.796625171,Self,18 and more,0
+600,f,1,0,0,0,1,0,0,1,0,0,no,no,15.49096467,Asian,New Zealand,no,6.854388624,Self,18 and more,0
+601,f,1,0,0,1,0,1,0,1,1,1,yes,no,69.0322209,Latino,Canada,no,7.36682023,Self,18 and more,1
+602,m,1,0,0,0,0,0,0,1,0,0,no,no,19.73541874,White-European,United Kingdom,no,3.84324425,Self,18 and more,0
+603,f,1,0,0,0,0,1,0,1,1,0,yes,no,37.48423402,Black,New Zealand,no,9.622188908,Self,18 and more,0
+604,f,1,1,0,1,1,0,0,1,1,1,no,no,30.86535776,White-European,United Kingdom,no,11.4434956,Self,18 and more,1
+605,f,0,0,0,0,0,0,1,1,0,0,no,no,24.6096008,Middle Eastern ,Jordan,no,6.599539089,Self,18 and more,0
+606,m,1,1,1,1,1,0,1,0,1,0,yes,no,24.99099448,White-European,United Kingdom,no,7.829824786,Self,18 and more,1
+607,f,1,0,0,0,0,0,0,0,0,0,no,no,23.96639949,Asian,India,no,6.918480339,Self,18 and more,0
+608,m,0,0,0,0,0,0,0,1,0,0,no,no,42.35750256,White-European,United States,no,0.474457095,Self,18 and more,0
+609,f,1,0,0,1,1,0,0,0,0,0,no,no,25.85706958,?,Jordan,no,8.190612388,Self,18 and more,0
+610,f,0,0,0,0,0,0,0,0,0,0,no,no,26.54569019,?,India,no,0.231494445,Self,18 and more,0
+611,f,0,0,0,1,1,0,1,0,0,0,no,no,18.5060405,Asian,Sri Lanka,no,7.641468463,Self,18 and more,0
+612,m,0,0,0,0,0,0,0,1,0,0,no,no,52.05262676,?,Philippines,no,6.596557339,Self,18 and more,0
+613,m,1,0,0,0,0,0,0,0,0,0,no,no,12.23744796,?,New Zealand,no,1.219167262,Self,18 and more,0
+614,f,1,0,1,1,0,1,0,0,1,1,no,no,38.86414425,Black,Sweden,no,12.36754381,Relative,18 and more,0
+615,f,1,0,0,0,0,0,0,1,0,0,yes,no,30.52737617,Latino,United Kingdom,no,9.729908834,Self,18 and more,0
+616,f,1,0,0,0,1,0,0,1,1,0,no,no,28.98353924,Latino,AmericanSamoa,no,8.523430303,Self,18 and more,0
+617,f,1,0,1,0,0,0,0,1,0,1,no,no,18.6681171,?,Afghanistan,no,3.291574377,Self,18 and more,0
+618,f,0,0,0,1,0,0,0,0,0,0,yes,no,30.22623836,White-European,United Kingdom,no,6.773785527,Self,18 and more,0
+619,m,1,0,0,0,0,0,0,1,0,0,no,no,18.12602,?,New Zealand,no,-0.170045428,Self,18 and more,0
+620,m,1,1,1,1,1,0,1,1,1,1,yes,no,42.09629473,White-European,Netherlands,no,12.24371017,Self,18 and more,1
+621,m,0,0,0,0,0,0,0,1,0,0,no,no,24.52767093,?,United Arab Emirates,no,2.130976794,Self,18 and more,0
+622,f,0,0,0,0,1,0,1,1,0,0,no,no,24.92729016,?,Philippines,no,9.098205273,Self,18 and more,0
+623,f,1,0,0,0,0,0,0,1,1,1,no,no,23.35073121,Asian,Ukraine,no,5.783773856,Self,18 and more,0
+624,f,0,0,0,0,1,0,0,1,1,1,no,no,21.98276372,Middle Eastern ,United States,no,6.652098657,Self,18 and more,0
+625,m,0,0,0,0,0,0,0,1,0,0,no,no,37.65198552,Black,New Zealand,no,5.672398711,Self,18 and more,0
+626,m,1,0,0,0,0,0,0,1,0,0,no,no,13.44764893,Asian,Azerbaijan,no,5.544080018,Self,18 and more,0
+627,f,1,1,0,0,0,0,0,1,0,1,no,no,53.78743071,Others,Afghanistan,no,-0.539411533,Self,18 and more,0
+628,m,0,0,0,0,0,0,0,1,0,0,no,no,33.94529149,Hispanic,Italy,no,4.812774143,?,18 and more,0
+629,m,1,0,1,1,1,0,1,1,0,1,yes,yes,28.65883617,White-European,United States,no,12.93573614,Self,18 and more,0
+630,f,1,1,1,1,1,1,0,1,1,1,yes,no,18.7139055,White-European,Malaysia,no,12.78373492,Self,18 and more,1
+631,m,0,0,0,0,0,0,0,1,0,0,no,no,22.64481055,Middle Eastern ,United Arab Emirates,no,6.846036607,Self,18 and more,0
+632,m,1,0,0,0,0,0,0,1,0,0,no,no,25.19521667,Others,Jordan,no,6.845378712,Self,18 and more,0
+633,m,0,0,0,0,0,0,0,0,0,0,no,no,31.38962252,?,United Arab Emirates,no,-1.404134059,?,18 and more,0
+634,m,0,0,0,0,0,0,0,0,0,0,no,no,22.77013398,Middle Eastern ,United Arab Emirates,no,4.816072476,Self,18 and more,0
+635,f,1,0,1,1,1,1,1,1,1,1,no,yes,34.09807492,White-European,United States,no,13.32200826,Self,18 and more,1
+636,m,0,0,0,0,0,0,0,0,0,0,no,no,16.1038529,Asian,United Arab Emirates,no,7.072826956,Self,18 and more,0
+637,f,0,0,0,0,0,0,0,0,0,0,no,no,31.45293115,Asian,New Zealand,no,1.740625145,?,18 and more,0
+638,f,0,0,0,1,1,0,0,1,0,0,no,no,17.42385035,Asian,Iran,no,4.737493157,Self,18 and more,0
+639,f,1,1,1,1,0,0,0,1,0,1,no,no,15.7291792,White-European,Australia,no,9.008934607,Others,18 and more,1
+640,m,1,0,0,0,1,1,0,1,0,1,no,no,27.55458916,Middle Eastern ,United States,no,2.636108909,Self,18 and more,0
+641,m,0,0,0,0,0,0,0,0,0,0,no,no,35.31536559,Asian,United Arab Emirates,no,2.728218172,?,18 and more,0
+642,f,1,1,1,1,1,1,0,1,0,1,no,yes,19.39516203,Middle Eastern ,Malaysia,yes,10.20781396,Parent,18 and more,1
+643,f,1,1,1,0,0,0,0,1,0,0,no,no,22.24054605,White-European,Afghanistan,no,0.890902457,Self,18 and more,0
+644,f,0,0,0,0,0,0,0,0,0,0,no,no,27.00058499,Asian,Saudi Arabia,no,4.72749834,Self,18 and more,0
+645,f,1,1,1,0,0,0,1,0,1,1,no,no,29.09439056,White-European,United States,no,12.47688865,Self,18 and more,0
+646,m,0,0,0,0,0,0,0,0,0,0,no,no,25.85604329,White-European,United Arab Emirates,no,6.2152431,?,18 and more,0
+647,m,1,0,0,0,0,1,0,1,1,1,no,no,38.053128,?,United States,no,11.90920715,Self,18 and more,0
+648,f,0,0,0,0,0,0,0,0,0,0,no,no,25.15887799,Middle Eastern ,United States,no,7.502335477,?,18 and more,0
+649,m,0,0,0,0,0,0,0,1,0,0,no,no,25.05584845,Asian,New Zealand,no,7.242232292,?,18 and more,0
+650,m,0,0,0,0,0,0,0,1,0,0,yes,no,19.92111561,?,Kazakhstan,no,6.083884241,?,18 and more,0
+651,m,0,0,0,0,0,0,0,1,0,0,no,no,22.71783533,Asian,Italy,no,4.22227595,Relative,18 and more,0
+652,f,1,0,1,1,0,0,0,1,1,1,yes,yes,47.50947766,White-European,United Kingdom,no,6.74334294,Self,18 and more,0
+653,f,1,1,1,1,1,0,0,0,1,1,no,no,36.62670705,South Asian,United States,no,12.87978205,Self,18 and more,0
+654,m,1,0,0,0,0,0,0,1,0,0,no,no,21.75388979,?,United Arab Emirates,no,5.811801114,Self,18 and more,0
+655,f,0,0,0,0,0,0,0,1,0,0,no,no,30.0080822,South Asian,United States,no,9.011822317,Others,18 and more,0
+656,f,0,1,0,1,0,1,1,1,1,1,no,yes,30.89414025,White-European,United States,no,13.19516422,Parent,18 and more,1
+657,f,1,0,1,1,1,1,0,1,1,0,no,no,37.22073251,White-European,India,no,9.642188369,Self,18 and more,1
+658,m,0,1,1,1,1,1,1,1,1,1,no,no,12.64242609,Middle Eastern ,United States,no,11.68465468,Self,18 and more,1
+659,f,1,1,1,1,1,0,1,1,1,1,no,no,29.44305461,White-European,United Kingdom,no,12.8865951,Self,18 and more,0
+660,m,0,1,0,0,0,0,0,1,0,0,yes,no,16.50210964,White-European,Australia,no,5.495601387,Self,18 and more,0
+661,m,0,0,0,0,0,0,0,1,0,0,no,no,48.45204622,?,Australia,no,0.585036872,?,18 and more,0
+662,m,0,0,0,0,1,0,1,1,0,1,no,no,71.68068207,Latino,India,no,13.30013275,Self,18 and more,0
+663,f,1,1,1,1,1,1,0,1,1,1,no,yes,23.82198722,Latino,United States,no,12.858418,Self,18 and more,1
+664,f,0,0,1,0,1,0,0,1,0,0,no,no,62.61455773,White-European,India,no,11.59525701,Self,18 and more,0
+665,f,0,0,0,0,1,0,1,1,1,0,no,no,66.53320759,Latino,New Zealand,no,9.91329515,Parent,18 and more,0
+666,m,0,0,0,0,0,0,0,1,0,0,no,no,20.98300489,?,New Zealand,no,5.034762553,Self,18 and more,0
+667,m,1,0,0,0,1,0,0,1,0,1,no,no,22.81436453,?,United Arab Emirates,no,10.85828892,?,18 and more,0
+668,m,0,0,0,1,1,0,0,1,1,1,no,no,28.38670182,?,Argentina,no,8.033251223,Self,18 and more,0
+669,f,1,0,1,1,1,0,0,1,1,1,yes,yes,20.53986415,White-European,United Arab Emirates,no,8.54195461,Self,18 and more,1
+670,f,0,0,1,1,0,1,0,1,1,1,no,no,22.15781669,White-European,Canada,no,11.24167701,Self,18 and more,1
+671,m,0,1,0,0,0,0,0,1,0,1,no,no,12.95082394,Middle Eastern ,India,no,6.074312114,Self,18 and more,0
+672,f,1,0,0,1,1,0,0,1,0,0,no,no,27.68259645,White-European,India,no,7.314045347,Self,18 and more,0
+673,f,0,0,0,0,0,0,0,0,0,0,no,no,28.61497378,Asian,India,no,2.819953175,Relative,18 and more,0
+674,m,1,0,0,0,0,0,0,0,0,0,no,no,13.14904621,Black,United Arab Emirates,no,6.587371377,Self,18 and more,0
+675,f,1,0,0,1,0,0,0,1,0,0,yes,no,16.84333863,?,Canada,no,2.604970148,Self,18 and more,0
+676,m,1,0,0,0,1,0,1,0,0,1,yes,no,29.43706753,Asian,France,no,10.12164295,Self,18 and more,0
+677,f,1,0,1,1,1,0,1,1,0,1,no,no,24.52725575,White-European,Brazil,no,12.70987011,Self,18 and more,0
+678,f,1,1,1,1,1,1,0,1,1,1,no,no,18.05636448,Asian,Australia,no,13.12453857,Self,18 and more,1
+679,m,0,0,0,0,0,0,0,1,0,0,no,no,25.60377858,Asian,Jordan,no,1.653584599,?,18 and more,0
+680,m,0,0,0,1,1,0,0,1,1,0,no,no,46.74226968,White-European,Sri Lanka,no,6.496949408,Self,18 and more,0
+681,m,0,0,0,0,0,0,0,1,0,0,no,no,18.84460222,Middle Eastern ,New Zealand,no,-1.371819245,Self,18 and more,0
+682,f,0,1,0,0,1,0,0,0,0,0,yes,no,31.33228909,White-European,India,no,2.863281284,Self,18 and more,0
+683,m,1,0,0,1,1,1,1,1,1,1,yes,yes,21.75953085,Asian,United States,no,10.67377402,Self,18 and more,1
+684,f,1,0,1,1,0,1,1,0,1,1,yes,no,28.04131476,Latino,India,no,12.58481841,Self,18 and more,1
+685,m,1,1,0,1,1,1,1,1,1,1,yes,yes,52.33927013,White-European,United States,no,12.23598858,Self,18 and more,1
+686,m,1,0,0,0,0,0,0,1,0,0,no,no,29.12475515,Asian,Australia,no,5.865060722,Relative,18 and more,0
+687,m,1,1,0,1,1,0,1,0,0,0,yes,no,17.85655211,White-European,United States,no,5.667709899,Self,18 and more,0
+688,m,1,0,1,1,1,0,1,1,1,0,no,yes,22.1894618,White-European,New Zealand,no,12.69158468,Self,18 and more,0
+689,f,0,0,0,0,0,0,0,1,0,0,no,no,23.99379689,?,New Zealand,no,10.37649024,Self,18 and more,0
+690,f,1,1,1,1,1,0,1,1,1,1,yes,no,24.45063324,White-European,United Kingdom,no,11.85101145,Self,18 and more,1
+691,f,0,0,0,0,0,0,0,1,0,0,no,no,28.54050329,Middle Eastern ,United Arab Emirates,no,-0.424699406,Self,18 and more,0
+692,f,1,0,1,0,0,0,0,1,0,0,yes,no,24.58667973,Asian,United Kingdom,no,8.043349911,Self,18 and more,0
+693,m,0,0,0,0,0,0,0,1,0,0,no,no,28.1411368,Asian,United Arab Emirates,no,5.603798965,Self,18 and more,0
+694,m,1,0,0,0,0,0,0,1,0,0,no,no,18.3372629,Middle Eastern ,United Arab Emirates,no,3.550727828,Self,18 and more,0
+695,m,0,0,0,0,0,0,0,1,0,0,no,no,28.53744157,?,United Arab Emirates,no,0.88459756,Self,18 and more,0
+696,m,0,0,0,0,0,0,0,0,0,0,no,no,17.34310145,Asian,New Zealand,no,6.070682947,?,18 and more,0
+697,f,1,0,0,0,0,0,0,1,0,0,no,no,19.0113239,Asian,United States,no,11.33068753,Self,18 and more,0
+698,f,1,0,0,1,0,0,0,1,0,1,no,no,12.03510973,Middle Eastern ,United States,no,8.126190489,Self,18 and more,0
+699,f,1,1,1,1,1,1,1,1,1,1,yes,yes,32.58726065,White-European,United States,no,12.66673146,Self,18 and more,1
+700,m,0,1,0,1,1,0,0,1,0,0,no,no,23.68543099,Black,Bahamas,no,8.232475864,?,18 and more,0
+701,f,1,1,0,1,1,0,0,1,1,1,yes,no,41.19614552,White-European,Mexico,no,8.176131023,Self,18 and more,0
+702,m,1,1,0,1,1,1,0,1,0,1,no,no,35.67135635,Asian,India,no,11.8484224,Self,18 and more,1
+703,m,1,0,1,1,1,1,0,1,1,1,yes,yes,17.0144967,White-European,United Kingdom,no,12.89314417,Self,18 and more,1
+704,f,1,1,1,1,1,1,1,1,1,1,no,yes,37.27590789,White-European,Australia,no,12.86200491,Self,18 and more,1
+705,m,0,0,0,0,0,0,0,0,0,0,no,no,23.95534317,Asian,Nicaragua,no,3.88418964,?,18 and more,0
+706,m,1,1,1,1,1,1,1,1,1,1,yes,yes,19.74274144,White-European,United States,no,9.590124513,Self,18 and more,1
+707,f,0,0,0,0,0,0,0,1,0,0,no,no,21.18868502,Asian,United Arab Emirates,no,3.469013965,Self,18 and more,0
+708,m,1,0,0,0,0,0,0,1,0,0,yes,no,25.11728489,White-European,New Zealand,no,3.012778809,Self,18 and more,0
+709,m,0,1,0,0,0,0,0,0,0,0,yes,no,39.92918019,Others,United States,no,7.266477967,Self,18 and more,0
+710,m,0,0,0,0,0,0,0,0,0,1,no,no,13.06948226,?,United States,no,5.933911907,Self,18 and more,0
+711,m,1,0,0,0,0,0,0,1,1,1,no,no,34.2908246,Middle Eastern ,Viet Nam,no,12.52690699,Self,18 and more,0
+712,f,0,1,0,0,0,0,0,1,0,0,no,no,22.28181212,Middle Eastern ,New Zealand,no,5.941500175,Self,18 and more,0
+713,m,1,0,1,1,1,0,1,1,0,1,yes,no,54.78051233,?,United Kingdom,no,11.28121048,Self,18 and more,1
+714,m,1,0,1,1,1,1,0,1,1,1,no,no,20.49104374,Asian,United States,no,13.06573621,Self,18 and more,1
+715,m,1,0,0,0,0,0,0,1,0,0,no,no,22.61154807,Asian,Afghanistan,no,2.971121778,?,18 and more,0
+716,f,0,0,0,0,0,0,0,0,0,1,yes,no,24.00236983,Others,New Zealand,no,1.900813399,Self,18 and more,1
+717,f,1,0,1,1,1,1,1,0,1,1,no,no,24.91819746,Black,United Kingdom,yes,5.940763009,Parent,18 and more,1
+718,f,1,1,0,0,1,0,0,0,0,0,no,no,45.03945117,Asian,France,no,6.382275401,Parent,18 and more,0
+719,f,1,0,1,1,1,1,1,0,1,1,yes,no,11.06017591,White-European,Australia,no,12.08646347,Self,18 and more,1
+720,f,0,0,0,1,0,0,1,1,0,0,no,no,63.23366513,White-European,Netherlands,yes,6.661191713,Self,18 and more,0
+721,f,0,0,0,0,0,0,0,0,0,0,no,no,18.90427553,?,India,no,5.214310194,Self,18 and more,0
+722,f,0,1,0,0,0,0,0,0,0,0,no,no,35.45799034,Middle Eastern ,Niger,no,0.267053097,Health care professional,18 and more,0
+723,m,1,1,1,1,1,1,0,1,1,1,yes,no,62.02633694,White-European,United States,no,12.69487778,Self,18 and more,1
+724,m,0,0,1,1,1,0,0,1,0,1,no,no,13.38282021,?,Bolivia,no,8.836612609,?,18 and more,0
+725,f,1,1,0,1,1,1,1,1,1,1,no,no,23.2418793,White-European,Australia,no,13.18758905,Self,18 and more,1
+726,f,0,0,0,0,0,0,0,1,0,0,no,no,29.82519294,?,United States,no,6.610906059,Self,18 and more,0
+727,m,1,1,0,1,1,0,1,1,1,1,no,no,11.35116102,White-European,Pakistan,no,9.345115604,Self,18 and more,1
+728,f,1,0,0,0,0,0,0,0,0,0,no,no,28.33023531,Black,Philippines,no,2.031080732,Self,18 and more,0
+729,f,1,1,0,0,0,0,0,0,0,0,no,no,12.94801424,South Asian,Ukraine,no,1.883014214,Self,18 and more,0
+730,f,1,0,1,1,1,0,0,0,1,1,no,no,17.91973945,Black,New Zealand,no,9.886209523,Self,18 and more,1
+731,f,1,0,0,0,0,0,0,1,0,0,no,no,22.88957212,?,India,no,0.407256609,Parent,18 and more,0
+732,m,1,0,0,1,1,0,1,1,1,0,no,yes,13.1545696,Asian,United States,no,1.990277974,Self,18 and more,1
+733,m,1,1,1,1,1,0,1,1,1,1,no,yes,24.2634694,Others,Bolivia,no,12.21641163,Self,18 and more,1
+734,m,1,1,1,1,1,0,1,1,0,1,yes,no,46.57007587,Latino,Sri Lanka,no,12.99063558,Self,18 and more,1
+735,m,1,1,1,1,1,1,1,1,1,1,no,yes,17.90321284,White-European,United States,no,10.50155882,Self,18 and more,1
+736,m,0,0,0,1,1,0,0,1,0,0,no,no,21.75123467,Middle Eastern ,Canada,no,6.764455797,Self,18 and more,0
+737,m,0,0,0,0,1,1,0,1,0,1,no,no,20.90950447,White-European,United States,no,0.373984541,Self,18 and more,0
+738,m,0,0,0,0,0,0,0,0,0,0,no,no,18.99191402,Middle Eastern ,India,no,6.677639256,Self,18 and more,0
+739,m,0,0,0,0,0,0,0,1,0,0,no,no,50.53524958,?,India,no,2.569904621,Relative,18 and more,0
+740,m,1,0,1,1,1,0,0,1,1,0,no,no,34.88603695,Asian,United States,no,11.96038573,Self,18 and more,1
+741,m,1,0,0,0,0,0,0,1,0,0,no,no,18.4379935,Asian,Jordan,no,4.026584312,?,18 and more,0
+742,f,1,0,0,0,0,0,0,0,0,1,no,no,28.46828198,White-European,United Arab Emirates,no,8.837014057,Self,18 and more,0
+743,f,0,0,1,0,0,0,0,1,0,0,yes,no,20.4634476,Latino,United Arab Emirates,no,8.434125874,Self,18 and more,0
+744,f,1,0,1,1,1,0,0,1,0,1,no,no,17.2001964,Middle Eastern ,Italy,yes,9.929483959,Self,18 and more,0
+745,f,1,0,1,0,0,0,0,1,1,1,yes,no,18.4241769,White-European,Iran,no,6.465976443,Self,18 and more,0
+746,f,1,1,1,1,1,1,0,1,1,1,yes,no,21.0231266,White-European,United Kingdom,no,9.472175772,Self,18 and more,1
+747,m,1,0,0,0,1,0,0,1,0,1,yes,no,27.57733856,South Asian,Russia,no,5.716146112,Self,18 and more,0
+748,m,1,0,0,0,0,0,0,1,0,0,no,no,28.42463843,White-European,Russia,no,9.274546745,Self,18 and more,0
+749,f,0,0,1,1,0,1,0,1,0,1,no,no,44.10109235,White-European,New Zealand,no,3.434722319,Self,18 and more,0
+750,m,0,0,1,1,1,1,1,1,0,0,yes,no,28.95224942,White-European,United States,no,9.885100778,Self,18 and more,0
+751,f,0,0,0,0,0,0,0,1,0,0,yes,no,26.86995049,Asian,United States,no,4.783133275,Relative,18 and more,0
+752,m,0,0,0,0,0,0,0,0,0,0,no,no,19.74198448,Middle Eastern ,Germany,yes,6.438968444,Health care professional,18 and more,0
+753,m,1,0,0,1,0,0,0,1,0,0,no,no,23.43507261,Asian,Angola,no,7.177985393,Self,18 and more,0
+754,m,1,0,0,1,1,0,0,1,0,0,yes,no,30.67846275,?,Spain,no,6.153399306,Self,18 and more,0
+755,f,1,1,1,1,1,1,1,1,1,1,no,no,23.89542479,White-European,New Zealand,no,12.95415229,Self,18 and more,0
+756,m,1,1,0,0,1,1,0,1,1,1,yes,no,14.45454475,Asian,United States,no,12.00896778,Self,18 and more,1
+757,f,1,1,1,1,1,1,0,1,1,1,yes,yes,62.92074643,White-European,Australia,no,13.24206967,Self,18 and more,1
+758,m,1,1,0,0,0,0,0,1,0,0,no,no,18.34957017,Asian,Austria,no,4.08931523,Self,18 and more,0
+759,m,1,0,1,0,0,0,1,1,1,0,no,no,29.277243,?,Kazakhstan,no,3.690942379,Self,18 and more,0
+760,m,1,0,0,0,0,0,0,1,0,0,no,no,16.28524309,Middle Eastern ,Australia,no,-1.798714718,Self,18 and more,0
+761,f,0,0,0,0,0,0,0,1,0,0,no,no,21.6019814,Hispanic,Sri Lanka,no,1.601867922,?,18 and more,0
+762,f,1,1,1,1,0,0,0,1,1,0,no,no,19.97847816,White-European,United States,no,6.672158756,Self,18 and more,0
+763,m,1,0,0,0,0,0,0,0,0,0,no,yes,29.27161357,Middle Eastern ,New Zealand,no,0.502550325,Self,18 and more,0
+764,m,1,1,1,0,1,0,0,0,0,0,no,no,43.62625747,Black,United States,no,7.72826799,Relative,18 and more,0
+765,f,0,1,0,1,1,0,0,1,0,1,no,yes,28.10136823,White-European,New Zealand,yes,11.48566321,Self,18 and more,1
+766,m,0,1,0,0,0,0,0,1,0,0,yes,no,20.98186716,Middle Eastern ,United States,no,-0.853256785,Self,18 and more,0
+767,f,1,0,0,1,0,0,0,1,0,0,no,no,15.09052497,Asian,Jordan,no,7.536892962,Self,18 and more,0
+768,m,1,0,0,0,0,0,0,1,0,0,no,no,19.4801396,?,United Arab Emirates,no,0.59078224,Self,18 and more,0
+769,f,0,0,1,0,0,0,0,1,1,1,no,yes,30.70537622,Middle Eastern ,United Arab Emirates,no,7.445830332,Self,18 and more,1
+770,m,1,1,1,1,1,1,0,1,1,0,no,no,25.71545925,Others,Afghanistan,no,6.895935384,Self,18 and more,0
+771,m,1,1,0,1,1,0,0,1,0,0,no,no,53.89137595,White-European,Philippines,no,11.14816099,Self,18 and more,0
+772,f,0,0,0,0,0,0,1,1,0,0,yes,no,19.13036361,Middle Eastern ,United States,no,7.54687508,Self,18 and more,0
+773,f,1,0,1,1,1,1,1,1,1,1,yes,yes,51.06141566,White-European,United States,no,9.685235692,Self,18 and more,1
+774,f,0,0,0,0,1,0,0,1,0,0,no,no,27.32150965,?,United Kingdom,no,3.090932348,Self,18 and more,0
+775,m,1,0,1,1,1,0,1,1,0,1,no,no,55.27876787,White-European,Spain,no,11.9122956,Self,18 and more,0
+776,m,1,0,0,1,1,0,1,0,1,0,no,no,44.87586807,White-European,Austria,no,5.218856312,Relative,18 and more,0
+777,m,1,0,0,0,0,1,1,1,0,1,no,no,54.09464439,South Asian,Canada,no,6.12019472,Self,18 and more,0
+778,f,1,1,1,1,1,1,1,1,1,1,no,yes,27.79945741,others,France,no,13.21578899,Relative,18 and more,1
+779,f,1,1,1,1,1,1,1,1,1,1,no,no,53.3231657,White-European,Australia,no,13.30593843,Self,18 and more,1
+780,f,0,0,0,0,0,0,1,1,0,1,yes,no,22.42243059,White-European,United Kingdom,no,3.751886987,Relative,18 and more,0
+781,f,1,1,1,1,1,1,1,1,1,1,no,yes,18.00918051,White-European,United Kingdom,no,13.34315242,Self,18 and more,1
+782,m,0,0,0,0,1,0,0,0,0,0,no,no,32.16281477,White-European,Afghanistan,no,8.920739758,Relative,18 and more,0
+783,f,0,0,0,0,0,0,0,0,0,0,no,no,17.89826171,?,United Arab Emirates,no,3.136957044,Self,18 and more,0
+784,m,0,0,0,0,0,0,0,0,0,0,no,no,16.69477428,Middle Eastern ,New Zealand,no,2.845171537,Self,18 and more,0
+785,m,1,0,0,0,0,0,0,1,0,0,no,no,14.83218125,South Asian,United States,no,7.011832026,Self,18 and more,0
+786,f,1,0,1,1,0,0,0,1,0,1,no,no,15.12771801,White-European,Australia,no,3.342516258,Self,18 and more,0
+787,m,1,1,1,1,1,0,1,1,1,1,yes,yes,38.52697981,White-European,United States,no,12.77838613,Self,18 and more,1
+788,f,0,0,0,0,0,0,0,1,0,0,no,no,31.09996355,?,India,no,1.901898986,?,18 and more,0
+789,m,1,1,0,1,1,0,0,1,1,1,no,no,58.41167865,Middle Eastern ,Jordan,no,-0.308400086,Self,18 and more,0
+790,m,0,0,0,0,0,0,0,0,0,0,no,no,59.60787077,?,Russia,no,4.658414883,Self,18 and more,0
+791,m,0,0,0,0,0,0,0,0,0,1,no,no,36.82751862,Asian,United Arab Emirates,no,2.287008829,?,18 and more,0
+792,f,0,0,0,0,0,0,0,1,0,0,no,no,17.82050033,Black,United Arab Emirates,no,1.105997498,Self,18 and more,0
+793,m,1,0,0,0,1,0,0,1,0,1,no,no,21.62956024,?,Mexico,no,7.003726856,Self,18 and more,0
+794,f,1,0,0,0,0,0,1,0,0,0,no,no,16.30397208,Hispanic,Brazil,no,7.728627902,Self,18 and more,0
+795,m,0,0,1,1,1,1,1,1,1,0,no,no,24.36141607,Pasifika,Viet Nam,no,11.28052229,Self,18 and more,0
+796,f,1,1,1,1,1,1,1,1,1,1,no,yes,42.08490685,White-European,United States,no,13.3908679,Self,18 and more,1
+797,f,1,1,0,0,1,0,0,0,1,1,no,no,17.66929077,Asian,New Zealand,no,9.454200875,Self,18 and more,0
+798,m,0,0,0,0,0,0,1,0,1,1,yes,no,18.24255728,White-European,Jordan,no,6.80550928,Self,18 and more,1
+799,f,1,1,1,1,1,1,0,1,1,1,no,yes,19.24147315,Middle Eastern ,United States,no,3.682732169,Relative,18 and more,0
+800,f,1,0,0,1,1,0,0,1,1,1,no,no,32.17009804,Asian,New Zealand,no,12.06016768,Self,18 and more,0