Add application file

Procfile

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+web: sh setup.sh && streamlit run app.py

app.py

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+import streamlit as st
+import pandas as pd
+import numpy as np
+import pickle
+import base64
+import seaborn as sns
+import matplotlib.pyplot as plt
+
+st.set_page_config(
+    page_title="Autism App"
+)
+
+
+st.title('Autism Screening on Adults')
+st.write("""
+
+## Abstract
+
+Improve Autism Screening by creating predicting the likelihood of having this condition.
+
+## What is Autism
+
+Autism, or autism spectrum disorder (ASD), refers to a broad range of conditions characterized by challenges with social skills, repetitive behaviors, speech and nonverbal communication.
+
+## Causes and Challenges
+
+It is mostly influenced by a combination of genetic and environmental factors. Because autism is a spectrum disorder, each person with autism has a distinct set of strengths and challenges. The ways in which people with autism learn, think and problem-solve can range from highly skilled to severely challenged.
+
+Research has made clear that high quality early intervention can improve learning, communication and social skills, as well as underlying brain development. Yet the diagnostic process can take several years.
+
+## The Role of Machine Learning
+
+This dataset is composed of survey results for more than 700 people who filled an app form. There are labels portraying whether the person received a diagnosis of autism, allowing machine learning models to predict the likelihood of having autism, therefore allowing healthcare professionals prioritize their resources.
+
+## How to use
+
+Predict the likelihood of a person having autism using survey and demographic variables.
+Explore Autism across Gender, Age, and other variables
+
+""")
+
+url_dataset = f'<a href="autism_screening.csv">Download Dataset CSV File</a>'
+st.markdown(url_dataset, unsafe_allow_html=True)
+
+def user_input_features() :
+    a1_score = st.sidebar.slider('A1_Score', 0.00, 1.00)
+    a2_score = st.sidebar.slider('A2_Score', 0.00, 1.00)
+    a3_score = st.sidebar.slider('A3_Score', 0.00, 1.00)
+    a4_score = st.sidebar.slider('A4_Score', 0.00, 1.00)
+    a5_score = st.sidebar.slider('A5_Score', 0.00, 1.00)
+    a6_score = st.sidebar.slider('A6_Score', 0.00, 1.00)
+    a7_score = st.sidebar.slider('A7_Score', 0.00, 1.00)
+    a8_score = st.sidebar.slider('A8_Score', 0.00, 1.00)
+    a9_score = st.sidebar.slider('A9_Score', 0.00, 1.00)
+    a10_score = st.sidebar.slider('A10_Score', 0.00, 1.00)
+
+    data = {'a1_score':[a1_score], 
+            'a2_score':[a2_score],
+            'a3_score':[a3_score],
+            'a4_score':[a4_score],
+            'a5_score':[a5_score],
+            'a6_score':[a6_score],
+            'a7_score':[a7_score],
+            'a8_score':[a8_score],
+            'a9_score':[a9_score],
+            'a10_score':[a10_score]
+            }
+
+    features = pd.DataFrame(data)
+    return features
+
+input_df = user_input_features()
+
+
+df_autism = pd.read_csv('autism_screening.csv')
+df_autism = df_autism[['A1_Score', 'A2_Score', 'A3_Score', 'A4_Score', 'A5_Score', 'A6_Score', 'A7_Score', 'A8_Score', 'A9_Score', 'A10_Score', 'age', 'gender', 'ethnicity', 'jundice', 'austim', 'contry_of_res', 'used_app_before', 'result', 'age_desc', 'relation', 'Class/ASD']].copy()
+df_autism = df_autism.dropna()
+df_autism['gender'] = np.where(df_autism['gender']=='m', 1, 0)
+df_autism['jundice'] = np.where(df_autism['jundice']=='yes', 1, 0)
+df_autism['austim'] = np.where(df_autism['austim']=='yes', 1, 0)
+df_autism['Class/ASD'] = np.where(df_autism['Class/ASD']=='YES', 1, 0)
+df = df_autism.drop(['ethnicity', 'contry_of_res', 'used_app_before', 'result', 'age_desc', 'relation'], axis=1)
+df.fillna(0, inplace=True)
+df = df.drop(columns=['Class/ASD'])
+df = pd.concat([input_df, df], axis=1)
+
+df = df[:1] # Selects only the first row (the user input data)
+df.fillna(0, inplace=True)
+
+features = ['a1_score', 'a2_score', 'a3_score',
+'a4_score', 'a5_score', 'a6_score', 'a7_score',
+'a8_score', 'a9_score', 'a10_score', 'age',
+'gender', 'jundice', 'austim'
+]
+
+df = df[features]
+
+
+st.subheader('User Input features')
+st.write(df)
+
+load_clf = pickle.load(open('autism_clf.pkl', 'rb'))
+prediction = load_clf.predict(df)
+prediction_proba = load_clf.predict_proba(df)
+autism_labels = np.array(['No','Yes'])
+st.subheader('Prediction')
+st.write(autism_labels[prediction])
+st.subheader('Prediction Probability')
+st.write(prediction_proba)

autism_clf.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7495da6baea189c3cbabecf6b4d1c7da9677b066bfbad472d89d9ea7842e8ae8
+size 1099165

autism_model.ipynb

@@ -0,0 +1,435 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "c2f352ed",
+   "metadata": {},
+   "source": [
+    "# Dataset\n",
+    "\n",
+    "https://www.kaggle.com/datasets/andrewmvd/autism-screening-on-adults"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "dff0477d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd \n",
+    "from sklearn.ensemble import RandomForestClassifier\n",
+    "import pickle \n",
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "53a8cd69",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "   A1_Score  A2_Score  A3_Score  A4_Score  A5_Score  A6_Score  A7_Score  \\\n",
+      "0         1         1         1         1         0         0         1   \n",
+      "1         1         1         0         1         0         0         0   \n",
+      "2         1         1         0         1         1         0         1   \n",
+      "3         1         1         0         1         0         0         1   \n",
+      "4         1         0         0         0         0         0         0   \n",
+      "\n",
+      "   A8_Score  A9_Score  A10_Score   age gender       ethnicity jundice austim  \\\n",
+      "0         1         0          0  26.0      f  White-European      no     no   \n",
+      "1         1         0          1  24.0      m          Latino      no    yes   \n",
+      "2         1         1          1  27.0      m          Latino     yes    yes   \n",
+      "3         1         0          1  35.0      f  White-European      no    yes   \n",
+      "4         1         0          0  40.0      f               ?      no     no   \n",
+      "\n",
+      "   contry_of_res used_app_before  result     age_desc relation Class/ASD  \n",
+      "0  United States              no     6.0  18 and more     Self        NO  \n",
+      "1         Brazil              no     5.0  18 and more     Self        NO  \n",
+      "2          Spain              no     8.0  18 and more   Parent       YES  \n",
+      "3  United States              no     6.0  18 and more     Self        NO  \n",
+      "4          Egypt              no     2.0  18 and more        ?        NO  \n"
+     ]
+    }
+   ],
+   "source": [
+    "pd.set_option('display.max_columns', None)\n",
+    "pd.set_option('display.max_rows', None)\n",
+    "df_autism = pd.read_csv('autism_screening.csv')\n",
+    "print(df_autism.head())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "367014f4",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 704 entries, 0 to 703\n",
+      "Data columns (total 21 columns):\n",
+      " #   Column           Non-Null Count  Dtype  \n",
+      "---  ------           --------------  -----  \n",
+      " 0   A1_Score         704 non-null    int64  \n",
+      " 1   A2_Score         704 non-null    int64  \n",
+      " 2   A3_Score         704 non-null    int64  \n",
+      " 3   A4_Score         704 non-null    int64  \n",
+      " 4   A5_Score         704 non-null    int64  \n",
+      " 5   A6_Score         704 non-null    int64  \n",
+      " 6   A7_Score         704 non-null    int64  \n",
+      " 7   A8_Score         704 non-null    int64  \n",
+      " 8   A9_Score         704 non-null    int64  \n",
+      " 9   A10_Score        704 non-null    int64  \n",
+      " 10  age              702 non-null    float64\n",
+      " 11  gender           704 non-null    object \n",
+      " 12  ethnicity        704 non-null    object \n",
+      " 13  jundice          704 non-null    object \n",
+      " 14  austim           704 non-null    object \n",
+      " 15  contry_of_res    704 non-null    object \n",
+      " 16  used_app_before  704 non-null    object \n",
+      " 17  result           704 non-null    float64\n",
+      " 18  age_desc         704 non-null    object \n",
+      " 19  relation         704 non-null    object \n",
+      " 20  Class/ASD        704 non-null    object \n",
+      "dtypes: float64(2), int64(10), object(9)\n",
+      "memory usage: 115.6+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "df_autism.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "67d026a5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['A1_Score', 'A2_Score', 'A3_Score', 'A4_Score', 'A5_Score', 'A6_Score',\n",
+       "       'A7_Score', 'A8_Score', 'A9_Score', 'A10_Score', 'age', 'gender',\n",
+       "       'ethnicity', 'jundice', 'austim', 'contry_of_res', 'used_app_before',\n",
+       "       'result', 'age_desc', 'relation', 'Class/ASD'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_autism.columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "c34f87cb",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "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",
+       "age                       17.0\n",
+       "gender                       f\n",
+       "ethnicity                    ?\n",
+       "jundice                     no\n",
+       "austim                      no\n",
+       "contry_of_res      Afghanistan\n",
+       "used_app_before             no\n",
+       "result                     0.0\n",
+       "age_desc           18 and more\n",
+       "relation                     ?\n",
+       "Class/ASD                   NO\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_autism.min()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "7346223c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "A1_Score                     1\n",
+       "A2_Score                     1\n",
+       "A3_Score                     1\n",
+       "A4_Score                     1\n",
+       "A5_Score                     1\n",
+       "A6_Score                     1\n",
+       "A7_Score                     1\n",
+       "A8_Score                     1\n",
+       "A9_Score                     1\n",
+       "A10_Score                    1\n",
+       "age                      383.0\n",
+       "gender                       m\n",
+       "ethnicity               others\n",
+       "jundice                    yes\n",
+       "austim                     yes\n",
+       "contry_of_res         Viet Nam\n",
+       "used_app_before            yes\n",
+       "result                    10.0\n",
+       "age_desc           18 and more\n",
+       "relation                  Self\n",
+       "Class/ASD                  YES\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_autism.max()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "4c90720b",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "   A1_Score  A2_Score  A3_Score  A4_Score  A5_Score  A6_Score  A7_Score  \\\n",
+      "0         1         1         1         1         0         0         1   \n",
+      "1         1         1         0         1         0         0         0   \n",
+      "2         1         1         0         1         1         0         1   \n",
+      "3         1         1         0         1         0         0         1   \n",
+      "4         1         0         0         0         0         0         0   \n",
+      "\n",
+      "   A8_Score  A9_Score  A10_Score   age gender       ethnicity jundice austim  \\\n",
+      "0         1         0          0  26.0      f  White-European      no     no   \n",
+      "1         1         0          1  24.0      m          Latino      no    yes   \n",
+      "2         1         1          1  27.0      m          Latino     yes    yes   \n",
+      "3         1         0          1  35.0      f  White-European      no    yes   \n",
+      "4         1         0          0  40.0      f               ?      no     no   \n",
+      "\n",
+      "   contry_of_res used_app_before  result     age_desc relation Class/ASD  \n",
+      "0  United States              no     6.0  18 and more     Self        NO  \n",
+      "1         Brazil              no     5.0  18 and more     Self        NO  \n",
+      "2          Spain              no     8.0  18 and more   Parent       YES  \n",
+      "3  United States              no     6.0  18 and more     Self        NO  \n",
+      "4          Egypt              no     2.0  18 and more        ?        NO  \n"
+     ]
+    }
+   ],
+   "source": [
+    "pd.set_option('display.max_columns', None)\n",
+    "pd.set_option('display.max_rows', None)\n",
+    "df_autism = pd.read_csv('autism_screening.csv')\n",
+    "df_autism = df_autism[['A1_Score', 'A2_Score', 'A3_Score', 'A4_Score', 'A5_Score', 'A6_Score', 'A7_Score', 'A8_Score', 'A9_Score', 'A10_Score', 'age', 'gender', 'ethnicity', 'jundice', 'austim', 'contry_of_res', 'used_app_before', 'result', 'age_desc', 'relation', 'Class/ASD']].copy()\n",
+    "print(df_autism.head())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "0da534fb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_autism = df_autism.dropna()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "025d840c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_autism['gender'] = np.where(df_autism['gender']=='m', 1, 0)\n",
+    "df_autism['jundice'] = np.where(df_autism['jundice']=='yes', 1, 0)\n",
+    "df_autism['austim'] = np.where(df_autism['austim']=='yes', 1, 0)\n",
+    "df_autism['Class/ASD'] = np.where(df_autism['Class/ASD']=='YES', 1, 0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "0f4d322a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = df_autism.drop(['ethnicity', 'contry_of_res', 'used_app_before', 'result', 'age_desc', 'relation'], axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "1f7ceaee",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "   A1_Score  A2_Score  A3_Score  A4_Score  A5_Score  A6_Score  A7_Score  \\\n",
+      "0         1         1         1         1         0         0         1   \n",
+      "1         1         1         0         1         0         0         0   \n",
+      "2         1         1         0         1         1         0         1   \n",
+      "3         1         1         0         1         0         0         1   \n",
+      "4         1         0         0         0         0         0         0   \n",
+      "\n",
+      "   A8_Score  A9_Score  A10_Score   age  gender  jundice  austim  Class/ASD  \n",
+      "0         1         0          0  26.0       0        0       0          0  \n",
+      "1         1         0          1  24.0       1        0       1          0  \n",
+      "2         1         1          1  27.0       1        1       1          1  \n",
+      "3         1         0          1  35.0       0        0       1          0  \n",
+      "4         1         0          0  40.0       0        0       0          0  \n"
+     ]
+    }
+   ],
+   "source": [
+    "print(df.head())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "56bf3c6d",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "Int64Index: 702 entries, 0 to 703\n",
+      "Data columns (total 15 columns):\n",
+      " #   Column     Non-Null Count  Dtype  \n",
+      "---  ------     --------------  -----  \n",
+      " 0   A1_Score   702 non-null    int64  \n",
+      " 1   A2_Score   702 non-null    int64  \n",
+      " 2   A3_Score   702 non-null    int64  \n",
+      " 3   A4_Score   702 non-null    int64  \n",
+      " 4   A5_Score   702 non-null    int64  \n",
+      " 5   A6_Score   702 non-null    int64  \n",
+      " 6   A7_Score   702 non-null    int64  \n",
+      " 7   A8_Score   702 non-null    int64  \n",
+      " 8   A9_Score   702 non-null    int64  \n",
+      " 9   A10_Score  702 non-null    int64  \n",
+      " 10  age        702 non-null    float64\n",
+      " 11  gender     702 non-null    int32  \n",
+      " 12  jundice    702 non-null    int32  \n",
+      " 13  austim     702 non-null    int32  \n",
+      " 14  Class/ASD  702 non-null    int32  \n",
+      "dtypes: float64(1), int32(4), int64(10)\n",
+      "memory usage: 76.8 KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "df.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "79794484",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "X = df.drop('Class/ASD', axis=1)\n",
+    "Y = df['Class/ASD']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "d505ff04",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "RandomForestClassifier()"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "clf = RandomForestClassifier()\n",
+    "clf.fit(X, Y)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "f64b8440",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pickle.dump(clf, open('autism_clf.pkl', 'wb'))"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.12"
+  },
+  "vscode": {
+   "interpreter": {
+    "hash": "a07fda4108288eac30d110fb6c0835906d2e1f106803cd94f31ab0c859b7a7bd"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

autism_screening.csv

@@ -0,0 +1,705 @@
+A1_Score,A2_Score,A3_Score,A4_Score,A5_Score,A6_Score,A7_Score,A8_Score,A9_Score,A10_Score,age,gender,ethnicity,jundice,austim,contry_of_res,used_app_before,result,age_desc,relation,Class/ASD
+1,1,1,1,0,0,1,1,0,0,26.0,f,White-European,no,no,United States,no,6.0,18 and more,Self,NO
+1,1,0,1,0,0,0,1,0,1,24.0,m,Latino,no,yes,Brazil,no,5.0,18 and more,Self,NO
+1,1,0,1,1,0,1,1,1,1,27.0,m,Latino,yes,yes,Spain,no,8.0,18 and more,Parent,YES
+1,1,0,1,0,0,1,1,0,1,35.0,f,White-European,no,yes,United States,no,6.0,18 and more,Self,NO
+1,0,0,0,0,0,0,1,0,0,40.0,f,?,no,no,Egypt,no,2.0,18 and more,?,NO
+1,1,1,1,1,0,1,1,1,1,36.0,m,Others,yes,no,United States,no,9.0,18 and more,Self,YES
+0,1,0,0,0,0,0,1,0,0,17.0,f,Black,no,no,United States,no,2.0,18 and more,Self,NO
+1,1,1,1,0,0,0,0,1,0,64.0,m,White-European,no,no,New Zealand,no,5.0,18 and more,Parent,NO
+1,1,0,0,1,0,0,1,1,1,29.0,m,White-European,no,no,United States,no,6.0,18 and more,Self,NO
+1,1,1,1,0,1,1,1,1,0,17.0,m,Asian,yes,yes,Bahamas,no,8.0,18 and more,Health care professional,YES
+1,1,1,1,1,1,1,1,1,1,33.0,m,White-European,no,no,United States,no,10.0,18 and more,Relative,YES
+0,1,0,1,1,1,1,0,0,1,18.0,f,Middle Eastern ,no,no,Burundi,no,6.0,18 and more,Parent,NO
+0,1,1,1,1,1,0,0,1,0,17.0,f,?,no,no,Bahamas,no,6.0,18 and more,?,NO
+1,0,0,0,0,0,1,1,0,1,17.0,m,?,no,no,Austria,no,4.0,18 and more,?,NO
+1,0,0,0,0,0,1,1,0,1,17.0,f,?,no,no,Argentina,no,4.0,18 and more,?,NO
+1,1,0,1,1,0,0,1,0,1,18.0,m,Middle Eastern ,no,yes,New Zealand,no,6.0,18 and more,Parent,NO
+1,0,0,0,0,0,1,1,1,1,31.0,m,Middle Eastern ,no,no,Jordan,no,5.0,18 and more,Self,NO
+0,0,0,0,0,0,0,1,0,1,30.0,m,White-European,no,no,Ireland,no,2.0,18 and more,Self,NO
+0,0,1,0,1,1,0,0,0,0,35.0,f,Middle Eastern ,no,yes,United Arab Emirates,no,3.0,18 and more,Self,NO
+0,0,0,0,0,0,1,1,0,1,34.0,m,?,yes,no,United Arab Emirates,no,3.0,18 and more,?,NO
+0,1,1,1,0,0,0,0,0,0,38.0,m,?,no,no,United Arab Emirates,no,3.0,18 and more,?,NO
+0,0,0,0,0,0,0,0,0,0,27.0,f,Black,no,no,United Arab Emirates,no,0.0,18 and more,Self,NO
+0,0,0,1,0,0,1,1,1,1,27.0,m,Middle Eastern ,no,no,Afghanistan,no,5.0,18 and more,Self,NO
+0,0,0,0,0,0,0,1,0,1,42.0,m,Middle Eastern ,yes,no,United Arab Emirates,no,2.0,18 and more,Relative,NO
+1,1,1,1,0,0,0,1,0,0,43.0,m,?,no,no,Lebanon,no,5.0,18 and more,?,NO
+0,1,1,0,0,0,0,1,0,0,24.0,f,?,yes,no,Afghanistan,no,3.0,18 and more,?,NO
+0,0,0,0,0,0,0,1,0,0,40.0,m,Pasifika,yes,yes,United Arab Emirates,no,1.0,18 and more,Self,NO
+0,0,0,0,0,0,0,1,0,0,40.0,m,Middle Eastern ,yes,yes,Afghanistan,no,1.0,18 and more,Parent,NO
+0,0,0,0,0,0,0,1,0,0,48.0,m,Black,no,no,New Zealand,no,1.0,18 and more,Self,NO
+0,1,1,0,0,0,0,0,1,1,31.0,m,Middle Eastern ,no,no,United Kingdom,no,4.0,18 and more,Self,NO
+0,0,0,0,0,0,0,0,0,0,18.0,m,White-European,no,no,United Kingdom,no,0.0,18 and more,Self,NO
+1,0,0,1,1,1,1,1,0,1,37.0,f,White-European,no,yes,United States,no,7.0,18 and more,Self,YES
+1,1,0,0,0,0,1,0,0,1,55.0,f,Others,no,no,New Zealand,no,4.0,18 and more,Self,NO
+1,1,1,1,1,1,1,1,1,1,18.0,f,White-European,yes,no,South Africa,no,10.0,18 and more,Self,YES
+1,1,1,1,1,1,1,1,1,1,18.0,f,White-European,no,no,South Africa,no,10.0,18 and more,Self,YES
+0,0,1,0,0,0,0,0,0,0,55.0,m,White-European,no,no,New Zealand,no,1.0,18 and more,Self,NO
+0,1,1,0,1,0,0,1,1,1,50.0,m,Middle Eastern ,no,no,United Arab Emirates,no,6.0,18 and more,Self,NO
+1,0,1,1,1,1,0,0,1,0,34.0,f,White-European,no,no,New Zealand,no,6.0,18 and more,Self,NO
+1,0,0,1,1,1,1,0,1,1,53.0,f,White-European,no,no,New Zealand,no,7.0,18 and more,Self,YES
+1,0,1,1,0,1,1,1,1,1,35.0,f,White-European,no,yes,United States,no,8.0,18 and more,Self,YES
+1,0,1,1,1,0,1,1,0,1,20.0,f,Latino,yes,no,Italy,no,7.0,18 and more,Self,YES
+0,0,0,0,1,1,0,0,0,0,28.0,f,Asian,no,no,Pakistan,no,2.0,18 and more,Self,NO
+0,0,1,1,0,0,0,0,0,1,34.0,f,Middle Eastern ,no,yes,Egypt,no,3.0,18 and more,Self,NO
+0,1,1,1,0,0,0,0,0,1,36.0,f,White-European,yes,yes,United States,no,4.0,18 and more,Self,NO
+1,1,1,1,1,1,0,1,0,1,27.0,f,White-European,no,no,New Zealand,no,8.0,18 and more,Self,YES
+1,0,1,1,1,1,0,1,1,0,53.0,f,White-European,no,no,New Zealand,no,7.0,18 and more,Relative,YES
+1,1,1,1,0,1,0,0,0,0,24.0,f,Pasifika,no,no,New Zealand,no,5.0,18 and more,Relative,NO
+0,0,1,1,1,0,1,0,0,0,24.0,m,Pasifika,no,no,New Zealand,no,4.0,18 and more,Relative,NO
+0,1,1,0,0,1,0,0,0,0,55.0,m,White-European,no,no,New Zealand,no,3.0,18 and more,Relative,NO
+1,1,0,0,0,1,1,1,0,1,30.0,f,Asian,no,no,Bangladesh,no,6.0,18 and more,Self,NO
+1,0,0,1,0,0,0,1,0,0,21.0,f,Latino,no,no,Chile,no,3.0,18 and more,Self,NO
+1,1,1,1,1,1,1,1,1,1,35.0,f,Black,no,no,France,no,10.0,18 and more,Parent,YES
+1,0,0,0,0,0,0,0,0,0,383.0,f,Pasifika,no,no,New Zealand,no,1.0,18 and more,Self,NO
+1,0,1,1,1,1,1,1,0,1,21.0,m,Latino,no,yes,Brazil,no,8.0,18 and more,Self,YES
+1,1,1,1,1,1,1,1,1,1,47.0,m,White-European,no,no,United States,no,10.0,18 and more,Self,YES
+1,1,1,1,1,1,0,1,1,1,30.0,f,Asian,no,no,China,no,9.0,18 and more,Self,YES
+1,0,1,1,1,1,0,1,1,1,28.0,f,White-European,no,no,Australia,no,8.0,18 and more,Self,YES
+1,1,1,1,1,1,0,1,1,1,43.0,f,White-European,no,no,Australia,no,9.0,18 and more,Self,YES
+1,0,0,0,1,0,0,1,0,0,32.0,f,South Asian,no,yes,Canada,no,3.0,18 and more,Self,NO
+1,1,1,1,0,0,0,1,0,0,44.0,f,White-European,no,no,Australia,no,5.0,18 and more,Self,NO
+1,0,1,1,1,1,1,1,0,1,20.0,f,Others,no,no,Canada,no,8.0,18 and more,Self,YES
+1,0,1,1,0,1,1,1,0,1,20.0,f,Others,no,no,Canada,yes,7.0,18 and more,Self,YES
+0,0,0,0,0,0,0,0,0,0,,m,?,no,no,Saudi Arabia,no,0.0,18 and more,?,NO
+1,0,0,1,1,0,0,1,1,0,19.0,m,White-European,no,no,Australia,no,5.0,18 and more,Parent,NO
+1,1,1,1,1,1,1,1,0,1,29.0,f,White-European,no,no,Australia,no,9.0,18 and more,Self,YES
+1,0,1,0,0,0,0,1,0,0,21.0,m,Middle Eastern ,no,no,United States,no,3.0,18 and more,Self,NO
+0,1,0,0,0,0,0,1,0,0,27.0,m,Middle Eastern ,no,no,France,no,2.0,18 and more,Parent,NO
+1,0,1,0,1,1,1,1,0,0,21.0,m,Hispanic,no,no,United States,no,6.0,18 and more,Self,NO
+1,0,0,0,1,0,1,0,0,1,35.0,m,Middle Eastern ,no,no,Saudi Arabia,no,4.0,18 and more,Self,NO
+0,0,0,0,1,0,0,0,0,0,42.0,m,Black,no,no,New Zealand,no,1.0,18 and more,Self,NO
+1,1,0,0,0,0,1,1,0,1,29.0,f,South Asian,no,no,New Zealand,no,5.0,18 and more,Self,NO
+0,0,1,1,0,0,0,1,0,0,58.0,m,Asian,no,no,New Zealand,no,3.0,18 and more,Self,NO
+1,0,1,1,0,0,1,1,0,1,21.0,m,Others,no,no,United States,no,6.0,18 and more,Self,NO
+1,1,1,0,0,0,0,1,1,1,21.0,m,Others,no,no,United States,no,6.0,18 and more,Self,NO
+0,0,1,1,1,0,0,1,1,1,37.0,f,White-European,no,yes,United States,no,6.0,18 and more,Self,NO
+1,1,0,1,1,1,1,1,0,0,21.0,m,Hispanic,no,no,United States,no,7.0,18 and more,Self,YES
+1,0,0,0,0,0,1,1,0,0,20.0,m,Middle Eastern ,no,no,United States,no,3.0,18 and more,Self,NO
+1,1,0,1,1,1,1,1,1,0,33.0,f,Black,no,yes,United States,no,8.0,18 and more,Self,YES
+1,0,0,1,1,0,0,0,0,1,20.0,m,Middle Eastern ,no,no,United States,no,4.0,18 and more,Self,NO
+1,1,0,0,0,0,0,0,0,0,45.0,f,?,yes,no,Jordan,no,2.0,18 and more,?,NO
+0,0,1,1,0,0,1,1,0,1,32.0,m,?,yes,yes,Afghanistan,no,5.0,18 and more,?,NO
+1,0,0,0,0,0,1,0,0,1,30.0,m,?,no,no,Jordan,no,3.0,18 and more,?,NO
+1,1,1,1,1,1,1,1,1,1,33.0,f,White-European,no,yes,Netherlands,no,10.0,18 and more,Self,YES
+0,0,1,0,1,0,0,1,0,1,42.0,f,Middle Eastern ,no,no,Jordan,no,4.0,18 and more,Self,NO
+1,1,0,0,0,0,0,0,0,0,17.0,f,White-European,no,no,New Zealand,no,2.0,18 and more,Self,NO
+1,0,0,0,0,0,0,1,0,1,27.0,f,Middle Eastern ,no,no,United States,no,3.0,18 and more,Self,NO
+1,0,0,1,1,1,1,1,1,1,35.0,f,Middle Eastern ,no,yes,Afghanistan,no,8.0,18 and more,Parent,YES
+1,0,0,0,0,0,0,0,0,0,37.0,m,White-European,no,no,United Kingdom,no,1.0,18 and more,Self,NO
+1,0,0,0,0,0,0,1,1,1,30.0,f,White-European,no,yes,United Kingdom,no,4.0,18 and more,Self,NO
+1,1,1,1,1,1,0,1,1,1,29.0,f,White-European,no,no,New Zealand,no,9.0,18 and more,Self,YES
+1,0,1,1,0,0,0,0,0,1,17.0,f,White-European,no,yes,Romania,no,4.0,18 and more,Self,NO
+0,1,0,0,1,0,1,0,0,1,,f,?,no,no,Jordan,no,4.0,18 and more,?,NO
+0,0,0,1,1,1,0,1,0,1,22.0,f,Pasifika,no,no,New Zealand,no,5.0,18 and more,Self,NO
+1,1,1,0,1,1,1,0,1,1,19.0,f,Latino,no,yes,Brazil,no,8.0,18 and more,Self,YES
+1,1,1,1,1,0,0,1,1,1,42.0,f,White-European,no,yes,Sweden,no,8.0,18 and more,Self,YES
+1,1,0,0,0,0,0,1,0,1,37.0,f,White-European,no,no,United Kingdom,no,4.0,18 and more,Self,NO
+1,0,0,0,1,0,1,1,0,0,28.0,f,White-European,no,no,Australia,no,4.0,18 and more,Self,NO
+1,0,0,1,1,0,1,0,0,0,22.0,m,Others,no,no,New Zealand,no,4.0,18 and more,Self,NO
+1,1,0,0,0,0,0,1,0,0,26.0,f,Pasifika,no,no,Tonga,no,3.0,18 and more,Self,NO
+0,0,0,0,0,0,0,0,1,0,21.0,m,Pasifika,no,no,Oman,no,1.0,18 and more,Self,NO
+0,1,1,0,0,0,0,1,0,0,26.0,f,South Asian,no,no,India,no,3.0,18 and more,Self,NO
+1,0,0,0,0,0,0,1,0,0,39.0,f,Asian,no,no,Philippines,no,2.0,18 and more,Self,NO
+1,0,0,0,0,0,0,0,1,1,26.0,m,Asian,no,no,New Zealand,no,3.0,18 and more,Self,NO
+1,1,0,0,1,0,1,1,0,0,26.0,m,Asian,no,no,India,no,5.0,18 and more,Self,NO
+0,0,0,0,1,1,0,1,0,1,21.0,m,South Asian,no,no,India,no,4.0,18 and more,Self,NO
+0,0,0,0,0,0,0,0,0,0,25.0,m,Asian,no,no,India,no,0.0,18 and more,Self,NO
+0,0,1,0,1,1,1,1,0,1,26.0,m,South Asian,no,no,New Zealand,no,6.0,18 and more,Self,NO
+1,1,0,1,1,0,1,1,0,1,30.0,f,White-European,no,no,United States,no,7.0,18 and more,Self,YES
+1,0,0,1,1,1,1,0,0,0,19.0,f,Asian,no,no,India,no,5.0,18 and more,Parent,NO
+1,0,0,0,0,1,1,0,0,0,19.0,f,Asian,no,no,India,no,3.0,18 and more,Parent,NO
+1,0,1,1,1,1,1,1,1,1,25.0,f,White-European,no,yes,New Zealand,no,9.0,18 and more,Self,YES
+0,0,1,1,0,1,0,1,1,1,23.0,m,White-European,no,no,United Kingdom,no,6.0,18 and more,Self,NO
+1,0,0,0,1,0,0,0,0,1,31.0,m,Asian,no,no,Sri Lanka,no,3.0,18 and more,Parent,NO
+0,1,0,0,0,0,0,1,1,1,27.0,m,Asian,no,no,New Zealand,no,4.0,18 and more,Self,NO
+1,1,0,1,1,1,1,1,0,1,29.0,f,Middle Eastern ,no,no,United Arab Emirates,no,8.0,18 and more,Self,YES
+1,0,1,1,1,1,0,1,1,0,38.0,f,White-European,no,no,United Kingdom,no,7.0,18 and more,Parent,YES
+1,1,1,1,1,1,0,1,0,1,23.0,f,White-European,no,no,United States,no,8.0,18 and more,Self,YES
+1,1,1,0,1,0,1,1,0,0,27.0,m,White-European,no,no,United States,no,6.0,18 and more,Self,NO
+1,1,1,1,1,1,0,1,1,1,27.0,f,White-European,no,no,Canada,no,9.0,18 and more,Self,YES
+1,1,1,1,1,1,0,0,1,0,42.0,m,White-European,no,no,United States,no,7.0,18 and more,Self,YES
+1,1,1,1,1,1,0,1,1,1,20.0,m,White-European,no,no,United Kingdom,no,9.0,18 and more,Self,YES
+1,0,1,1,1,1,1,1,1,1,17.0,f,White-European,no,no,United States,no,9.0,18 and more,Self,YES
+1,0,0,0,0,0,0,0,0,0,20.0,f,Black,no,no,Spain,no,1.0,18 and more,Self,NO
+1,0,0,1,1,1,1,1,0,1,30.0,m,Asian,yes,no,Sierra Leone,no,7.0,18 and more,Self,YES
+1,0,1,1,1,1,1,1,1,1,28.0,f,White-European,no,yes,Australia,no,9.0,18 and more,Self,YES
+1,1,0,0,1,1,1,1,0,1,26.0,f,White-European,no,no,New Zealand,no,7.0,18 and more,Self,YES
+0,0,0,0,0,0,0,0,0,0,26.0,f,White-European,no,no,Australia,no,0.0,18 and more,Self,NO
+1,0,0,1,1,1,0,1,0,1,31.0,m,Middle Eastern ,no,yes,Canada,no,6.0,18 and more,Self,NO
+1,0,1,1,0,0,1,0,0,1,40.0,f,White-European,no,no,United Kingdom,no,5.0,18 and more,Self,NO
+1,0,0,0,1,0,0,0,1,1,39.0,f,White-European,no,yes,Ireland,no,4.0,18 and more,Relative,NO
+1,1,0,0,0,0,0,1,0,0,18.0,f,White-European,no,no,United States,no,3.0,18 and more,Self,NO
+1,0,0,0,0,0,0,1,0,1,24.0,m,Black,no,no,Ethiopia,no,3.0,18 and more,Self,NO
+1,1,0,0,0,0,0,1,0,0,23.0,m,South Asian,no,no,India,no,3.0,18 and more,Self,NO
+1,0,1,1,0,0,0,1,0,1,24.0,m,Asian,no,no,India,no,5.0,18 and more,Self,NO
+0,1,0,0,1,1,0,1,1,0,24.0,m,Asian,no,no,New Zealand,no,5.0,18 and more,Self,NO
+1,0,1,1,0,0,0,1,1,1,27.0,m,Asian,no,no,New Zealand,no,6.0,18 and more,Self,NO
+0,1,1,0,0,1,0,0,1,1,24.0,m,Asian,no,no,New Zealand,no,5.0,18 and more,Self,NO
+0,0,0,0,1,0,0,0,0,1,25.0,m,Asian,no,no,India,no,2.0,18 and more,Self,NO
+1,0,0,0,0,0,1,0,0,1,22.0,m,Asian,no,no,New Zealand,no,3.0,18 and more,Self,NO
+0,1,0,0,0,0,0,0,0,1,40.0,f,Asian,no,no,New Zealand,no,2.0,18 and more,Self,NO
+0,0,1,1,0,0,0,1,0,1,23.0,m,Asian,no,no,India,no,4.0,18 and more,Self,NO
+1,0,0,0,0,0,0,1,0,0,29.0,m,South Asian,no,no,India,no,2.0,18 and more,Self,NO
+1,0,1,0,0,0,0,1,0,0,25.0,m,Asian,no,no,India,no,3.0,18 and more,Self,NO
+1,0,0,1,1,0,0,1,0,0,27.0,m,Asian,no,no,India,no,4.0,18 and more,Self,NO
+0,0,0,0,0,0,0,1,0,0,22.0,m,South Asian,no,no,New Zealand,no,1.0,18 and more,Self,NO
+1,0,0,1,1,1,1,1,1,1,28.0,m,White-European,no,no,United States,no,8.0,18 and more,Parent,YES
+1,0,1,1,1,1,1,1,1,1,20.0,m,White-European,no,no,Australia,no,9.0,18 and more,Self,YES
+1,1,1,1,1,1,1,1,1,1,19.0,f,White-European,no,no,Romania,no,10.0,18 and more,Self,YES
+1,1,0,0,1,1,1,1,0,1,37.0,f,Others,no,no,United States,no,7.0,18 and more,Self,YES
+1,1,1,1,1,0,1,1,1,0,35.0,m,White-European,yes,yes,United States,no,8.0,18 and more,Self,YES
+0,0,0,0,1,0,0,1,0,0,26.0,m,Asian,no,no,New Zealand,no,2.0,18 and more,Self,NO
+0,1,1,1,1,0,1,1,0,1,23.0,m,Asian,no,no,Viet Nam,no,7.0,18 and more,Self,YES
+1,1,0,0,1,0,0,0,0,1,32.0,f,South Asian,no,no,New Zealand,no,4.0,18 and more,Self,NO
+0,0,1,0,1,0,1,0,1,1,30.0,m,Asian,no,no,Sri Lanka,no,5.0,18 and more,Self,NO
+1,0,0,0,1,0,1,0,0,1,31.0,m,Asian,no,no,Sri Lanka,no,4.0,18 and more,Self,NO
+0,0,0,0,0,0,1,1,0,1,28.0,f,Asian,no,no,New Zealand,no,3.0,18 and more,Self,NO
+1,0,0,0,0,1,0,1,0,1,29.0,f,Asian,no,no,Sri Lanka,no,4.0,18 and more,Self,NO
+0,1,0,0,1,0,0,1,0,1,29.0,f,South Asian,no,no,Sri Lanka,no,4.0,18 and more,Self,NO
+1,0,0,1,0,0,0,0,1,1,29.0,f,Asian,no,no,India,no,4.0,18 and more,Self,NO
+1,0,0,0,0,0,1,1,0,0,31.0,m,Asian,no,no,India,no,3.0,18 and more,Self,NO
+0,0,0,0,0,0,0,0,0,0,36.0,m,Asian,no,no,India,no,0.0,18 and more,Parent,NO
+0,1,0,0,0,0,0,1,0,0,32.0,f,South Asian,no,no,India,no,2.0,18 and more,Self,NO
+0,0,0,0,0,0,0,1,0,0,34.0,f,South Asian,no,no,New Zealand,no,1.0,18 and more,Self,NO
+1,1,0,0,0,0,0,1,0,0,24.0,m,Asian,no,no,Sri Lanka,no,3.0,18 and more,Self,NO
+1,0,1,0,1,0,1,1,0,1,24.0,f,Asian,no,no,New Zealand,no,6.0,18 and more,Self,NO
+1,0,0,0,1,0,1,1,0,1,42.0,m,Asian,no,no,Sri Lanka,no,5.0,18 and more,Self,NO
+0,0,1,0,0,0,0,1,1,1,26.0,f,Others,no,no,India,no,4.0,18 and more,Self,NO
+1,0,0,0,1,0,1,1,0,0,27.0,f,Asian,no,no,Sri Lanka,no,4.0,18 and more,Self,NO
+0,0,1,1,1,0,0,1,1,1,36.0,f,Latino,no,yes,Brazil,no,6.0,18 and more,Self,NO
+1,1,1,1,1,0,0,1,1,1,36.0,f,Latino,no,yes,Brazil,no,8.0,18 and more,Self,YES
+1,0,1,1,0,0,1,1,0,1,55.0,m,Hispanic,no,no,United States,no,6.0,18 and more,Self,NO
+1,1,0,1,0,0,1,0,0,0,23.0,f,Asian,no,no,New Zealand,no,4.0,18 and more,Self,NO
+0,0,1,1,1,0,0,0,0,1,22.0,f,Asian,no,no,Sri Lanka,no,4.0,18 and more,Self,NO
+1,0,0,0,0,0,0,1,0,0,42.0,f,Middle Eastern ,no,no,France,no,2.0,18 and more,Parent,NO
+1,0,0,1,0,0,0,1,0,0,54.0,m,White-European,no,no,Canada,no,3.0,18 and more,Self,NO
+1,1,0,0,0,0,1,1,1,1,43.0,f,Black,no,no,United States,no,6.0,18 and more,Self,NO
+1,1,1,1,1,1,0,1,1,1,43.0,f,Black,no,no,United States,yes,9.0,18 and more,Self,YES
+0,0,1,1,1,0,0,1,1,1,29.0,m,Middle Eastern ,no,no,Iran,no,6.0,18 and more,Self,NO
+1,0,1,0,1,0,0,1,0,1,29.0,m,Middle Eastern ,no,no,Iran,no,5.0,18 and more,Self,NO
+1,0,1,0,1,0,1,0,0,0,37.0,m,White-European,no,no,Australia,no,4.0,18 and more,Self,NO
+1,0,0,0,1,0,1,0,0,1,39.0,f,White-European,no,no,Australia,no,4.0,18 and more,Self,NO
+1,1,1,1,1,0,0,0,0,0,18.0,f,Asian,no,no,Viet Nam,no,5.0,18 and more,Self,NO
+0,1,0,1,1,1,0,1,0,1,31.0,m,White-European,no,no,United States,no,6.0,18 and more,Others,NO
+0,0,1,1,1,0,0,0,0,1,34.0,m,Asian,no,no,New Zealand,no,4.0,18 and more,Self,NO
+0,0,1,1,1,0,1,0,0,1,22.0,m,White-European,no,no,United States,no,5.0,18 and more,Self,NO
+1,0,1,1,1,1,1,0,1,0,28.0,m,South Asian,no,no,India,no,7.0,18 and more,Self,YES
+1,0,0,0,0,0,1,1,0,1,38.0,m,Others,no,yes,Netherlands,no,4.0,18 and more,Self,NO
+1,0,0,0,0,0,1,1,0,1,28.0,f,White-European,no,no,Australia,no,4.0,18 and more,Self,NO
+1,1,0,1,1,1,0,1,1,1,53.0,f,White-European,no,yes,United States,no,8.0,18 and more,Self,YES
+1,1,1,0,1,0,1,0,0,0,26.0,m,White-European,no,no,United Kingdom,no,5.0,18 and more,Self,NO
+1,1,1,1,1,1,0,1,1,1,37.0,m,White-European,no,no,United Kingdom,no,9.0,18 and more,Self,YES
+1,1,0,1,0,0,0,1,0,1,42.0,m,Latino,yes,yes,Costa Rica,no,5.0,18 and more,Parent,NO
+1,0,0,0,0,0,0,1,0,1,43.0,m,Hispanic,no,no,United States,no,3.0,18 and more,Self,NO
+1,0,0,0,0,0,0,1,0,0,32.0,f,Asian,no,no,United Kingdom,no,2.0,18 and more,Self,NO
+0,1,0,1,0,0,0,1,0,0,31.0,m,White-European,no,yes,United Kingdom,no,3.0,18 and more,Self,NO
+1,0,1,1,1,1,1,1,1,1,53.0,f,White-European,no,no,United States,no,9.0,18 and more,Self,YES
+1,1,1,1,1,1,1,1,1,1,28.0,m,White-European,no,no,United States,no,10.0,18 and more,Self,YES
+1,0,1,1,1,1,1,1,1,1,38.0,m,White-European,no,no,Germany,no,9.0,18 and more,Self,YES
+1,1,1,0,1,1,0,1,1,0,31.0,m,White-European,no,no,United States,no,7.0,18 and more,Self,YES
+1,1,1,1,0,0,0,0,0,0,31.0,f,Pasifika,no,yes,United States,no,4.0,18 and more,Self,NO
+1,1,1,1,1,0,1,1,1,1,21.0,f,White-European,no,no,Australia,no,9.0,18 and more,Self,YES
+1,1,0,1,1,0,0,0,1,1,25.0,f,White-European,no,no,United States,no,6.0,18 and more,Self,NO
+1,1,0,1,1,0,0,1,1,1,25.0,f,White-European,no,no,United States,no,7.0,18 and more,Self,YES
+1,1,1,1,1,1,1,0,1,1,60.0,f,White-European,no,yes,United States,no,9.0,18 and more,Relative,YES
+1,0,1,1,0,0,0,0,0,0,39.0,m,White-European,no,yes,United States,no,3.0,18 and more,Self,NO
+1,1,1,1,1,1,1,1,1,1,53.0,m,White-European,no,no,United States,no,10.0,18 and more,Self,YES
+1,1,1,1,1,1,1,1,1,1,20.0,m,Middle Eastern ,no,yes,United States,no,10.0,18 and more,Parent,YES
+1,1,1,0,1,0,0,1,1,1,25.0,f,White-European,no,no,United States,yes,7.0,18 and more,Self,YES
+1,1,1,1,0,0,1,1,0,0,50.0,m,White-European,no,no,United Kingdom,no,6.0,18 and more,Self,NO
+1,0,0,1,1,1,1,1,1,1,28.0,f,White-European,no,no,United States,no,8.0,18 and more,Self,YES
+1,0,1,1,1,1,1,1,1,1,37.0,f,White-European,no,yes,United Kingdom,no,9.0,18 and more,Self,YES
+0,0,0,1,0,1,0,1,1,1,30.0,m,Asian,no,yes,India,no,5.0,18 and more,Self,NO
+1,1,0,0,0,1,1,1,0,1,32.0,f,White-European,no,no,United Kingdom,no,6.0,18 and more,Self,NO
+1,0,1,1,0,0,0,0,0,1,34.0,f,White-European,no,no,United States,no,4.0,18 and more,Self,NO
+1,1,1,1,0,0,0,0,0,1,42.0,m,White-European,no,no,United States,no,5.0,18 and more,Self,NO
+1,1,0,0,1,1,1,1,1,1,22.0,f,Black,no,no,Spain,no,8.0,18 and more,Self,YES
+1,0,0,0,0,0,1,1,0,1,37.0,f,?,yes,no,United Arab Emirates,no,4.0,18 and more,?,NO
+1,1,0,0,0,0,0,1,0,1,39.0,m,White-European,no,yes,United States,no,4.0,18 and more,Parent,NO
+1,1,0,1,1,0,1,1,0,1,18.0,m,White-European,no,no,Bangladesh,no,7.0,18 and more,Self,YES
+1,0,0,1,0,0,0,0,0,0,54.0,f,White-European,no,yes,United States,no,2.0,18 and more,Parent,NO
+1,1,0,0,0,0,0,1,0,0,42.0,m,White-European,no,no,United Kingdom,no,3.0,18 and more,Self,NO
+0,0,1,0,0,0,0,0,0,0,27.0,f,?,no,no,Afghanistan,no,1.0,18 and more,?,NO
+1,1,1,1,1,0,0,1,0,0,22.0,m,White-European,no,no,United Kingdom,no,6.0,18 and more,Self,NO
+1,0,1,1,0,1,1,1,1,1,22.0,m,White-European,no,no,United Kingdom,no,8.0,18 and more,Self,YES
+1,1,1,1,1,1,1,0,1,1,21.0,f,White-European,no,no,United Kingdom,no,9.0,18 and more,Self,YES
+0,1,0,1,0,0,0,1,0,1,28.0,f,White-European,no,no,United States,no,4.0,18 and more,Self,NO
+1,1,1,1,1,1,1,0,1,1,17.0,m,Asian,yes,no,India,no,9.0,18 and more,Relative,YES
+0,1,0,0,0,0,0,0,0,0,28.0,m,White-European,no,no,United States,no,1.0,18 and more,Self,NO
+0,0,0,1,1,0,1,1,0,1,21.0,m,Latino,no,no,Mexico,no,5.0,18 and more,Self,NO
+1,1,1,1,1,1,1,1,1,1,31.0,f,Asian,no,no,New Zealand,no,10.0,18 and more,Self,YES
+1,0,0,0,0,0,1,1,0,0,20.0,m,South Asian,no,no,New Zealand,no,3.0,18 and more,Self,NO
+1,0,0,1,0,0,0,0,0,0,21.0,m,White-European,no,no,United Kingdom,no,2.0,18 and more,Self,NO
+1,1,0,0,1,0,0,0,0,0,22.0,m,White-European,no,no,New Zealand,no,3.0,18 and more,Self,NO
+0,1,0,0,0,0,0,1,1,1,21.0,m,White-European,no,no,New Zealand,no,4.0,18 and more,Self,NO
+0,1,1,0,0,0,0,0,0,0,24.0,m,Black,no,no,New Zealand,no,2.0,18 and more,Self,NO
+1,0,0,0,0,0,0,1,0,0,24.0,m,South Asian,no,no,India,no,2.0,18 and more,Self,NO
+1,0,0,0,1,1,1,1,0,1,25.0,m,Asian,no,no,New Zealand,no,6.0,18 and more,Self,NO
+1,0,0,0,0,0,0,0,0,1,17.0,m,South Asian,no,no,New Zealand,no,2.0,18 and more,Self,NO
+0,1,0,0,0,0,0,1,1,0,21.0,m,?,no,no,Russia,no,3.0,18 and more,?,NO
+1,0,0,0,0,0,0,1,0,0,23.0,m,Pasifika,no,no,New Zealand,no,2.0,18 and more,Self,NO
+1,0,0,1,1,0,1,1,0,0,21.0,m,Asian,no,no,New Zealand,no,5.0,18 and more,Self,NO
+1,0,0,0,1,0,1,1,1,1,22.0,m,Others,no,no,New Zealand,no,6.0,18 and more,Self,NO
+1,0,0,0,1,0,0,1,0,1,24.0,f,Asian,no,no,India,no,4.0,18 and more,Self,NO
+0,0,1,0,1,1,0,0,1,1,34.0,m,Others,no,no,New Zealand,no,5.0,18 and more,Self,NO
+1,0,1,0,1,0,1,1,0,1,30.0,m,Asian,no,no,New Zealand,no,6.0,18 and more,Self,NO
+1,0,0,0,0,0,1,1,0,1,29.0,f,Asian,no,no,India,no,4.0,18 and more,Self,NO
+1,0,0,1,1,0,1,1,0,0,20.0,m,Pasifika,no,no,New Zealand,no,5.0,18 and more,Self,NO
+0,0,1,1,0,1,0,1,1,1,23.0,m,White-European,no,no,New Zealand,no,6.0,18 and more,Self,NO
+0,0,0,0,0,0,0,1,0,1,26.0,m,Asian,no,no,India,no,2.0,18 and more,Self,NO
+1,0,0,1,1,1,1,1,1,1,20.0,m,South Asian,no,no,New Zealand,no,8.0,18 and more,Self,YES
+1,0,0,0,0,0,1,1,0,0,41.0,m,Asian,no,no,New Zealand,no,3.0,18 and more,Self,NO
+1,0,0,1,0,0,1,1,0,0,24.0,m,Asian,no,no,India,no,4.0,18 and more,Self,NO
+0,0,0,1,0,0,0,1,0,0,35.0,m,Asian,no,no,India,no,2.0,18 and more,Self,NO
+0,0,0,1,0,0,1,0,0,0,23.0,m,South Asian,no,no,India,no,2.0,18 and more,Self,NO
+1,0,1,0,0,0,1,0,0,0,36.0,m,White-European,no,no,New Zealand,no,3.0,18 and more,Self,NO
+1,1,0,0,1,0,0,1,0,0,33.0,m,Turkish,no,no,Armenia,no,4.0,18 and more,Self,NO
+1,0,0,0,0,1,0,1,1,1,24.0,m,South Asian,no,no,India,no,5.0,18 and more,Self,NO
+0,1,1,0,1,0,0,1,0,0,25.0,m,?,no,no,New Zealand,no,4.0,18 and more,?,NO
+1,0,0,0,1,1,0,1,0,1,25.0,m,Asian,no,no,India,no,5.0,18 and more,Self,NO
+1,0,0,0,0,0,1,1,1,1,25.0,m,Asian,no,no,India,no,5.0,18 and more,Self,NO
+0,0,0,0,0,0,1,1,0,1,24.0,m,Asian,no,no,India,no,3.0,18 and more,Self,NO
+1,0,1,0,1,0,0,1,0,1,27.0,f,South Asian,no,no,India,no,5.0,18 and more,Self,NO
+1,0,0,0,0,0,1,1,0,0,26.0,m,Asian,no,no,India,no,3.0,18 and more,Self,NO
+0,0,0,0,0,0,0,0,0,0,26.0,m,Others,no,no,New Zealand,no,0.0,18 and more,Self,NO
+1,0,0,0,1,0,0,1,1,0,23.0,f,Asian,no,no,India,no,4.0,18 and more,Self,NO
+1,1,1,0,1,0,1,1,0,1,30.0,m,Asian,no,no,New Zealand,no,7.0,18 and more,Self,YES
+1,0,0,1,0,0,0,0,1,0,25.0,m,Asian,no,no,Iceland,no,3.0,18 and more,Self,NO
+1,0,0,0,0,0,0,1,0,1,23.0,m,Pasifika,no,no,New Zealand,no,3.0,18 and more,Self,NO
+1,0,1,1,1,0,0,1,0,0,34.0,f,White-European,no,no,United States,no,5.0,18 and more,Self,NO
+1,0,0,1,1,0,1,1,0,1,20.0,f,Asian,no,no,New Zealand,no,6.0,18 and more,Self,NO
+1,0,1,1,1,1,0,0,1,1,22.0,f,?,no,yes,Russia,no,7.0,18 and more,?,YES
+1,1,1,1,0,0,0,1,1,1,33.0,f,Black,no,yes,France,no,7.0,18 and more,Parent,YES
+1,1,1,1,1,1,1,1,1,1,46.0,m,White-European,no,no,Netherlands,no,10.0,18 and more,Self,YES
+1,1,0,0,0,0,0,0,0,0,17.0,m,White-European,no,no,United Kingdom,no,2.0,18 and more,Others,NO
+1,1,1,0,0,0,0,1,0,0,45.0,f,White-European,no,yes,United States,no,4.0,18 and more,Self,NO
+0,1,1,1,0,0,0,0,1,0,26.0,m,Asian,no,no,India,no,4.0,18 and more,Others,NO
+1,0,0,0,1,0,0,0,1,0,30.0,m,?,no,no,Jordan,no,3.0,18 and more,?,NO
+1,1,0,0,0,0,0,0,0,0,32.0,f,?,no,yes,Jordan,no,2.0,18 and more,?,NO
+1,0,1,1,1,1,1,1,1,1,38.0,f,White-European,no,no,United Kingdom,no,9.0,18 and more,Self,YES
+0,1,1,0,1,0,0,0,0,0,26.0,m,Hispanic,yes,no,Nicaragua,no,3.0,18 and more,Self,NO
+1,0,0,0,0,0,0,0,0,0,29.0,f,Hispanic,no,yes,United States,no,1.0,18 and more,Self,NO
+1,1,1,1,1,0,0,1,1,1,33.0,m,White-European,no,no,Australia,no,8.0,18 and more,Self,YES
+0,1,1,0,1,1,1,0,1,1,32.0,f,Black,no,no,France,no,7.0,18 and more,Parent,YES
+1,1,1,1,1,1,1,1,1,1,44.0,f,White-European,no,no,United States,no,10.0,18 and more,Self,YES
+0,1,0,0,0,0,1,0,0,1,47.0,f,White-European,yes,no,United Kingdom,no,3.0,18 and more,Self,NO
+0,0,0,1,1,1,1,0,1,1,32.0,f,?,no,no,Hong Kong,no,6.0,18 and more,?,NO
+0,0,0,0,0,0,0,0,0,0,40.0,m,White-European,no,no,New Zealand,no,0.0,18 and more,Self,NO
+1,0,0,1,1,0,0,1,0,1,40.0,m,White-European,no,no,United States,no,5.0,18 and more,Self,NO
+0,0,0,0,0,0,0,0,0,0,44.0,f,White-European,no,no,New Zealand,no,0.0,18 and more,Self,NO
+1,1,1,0,1,1,1,0,1,1,56.0,m,White-European,yes,no,United Kingdom,no,8.0,18 and more,Self,YES
+1,1,1,0,1,1,1,0,1,1,23.0,f,White-European,no,no,Ireland,no,8.0,18 and more,Self,YES
+1,1,0,1,1,0,0,1,1,1,32.0,f,Black,no,no,Canada,no,7.0,18 and more,Self,YES
+0,1,1,1,0,0,0,1,0,1,27.0,m,White-European,no,yes,United Kingdom,no,5.0,18 and more,Self,NO
+1,0,0,0,1,0,1,0,0,1,28.0,f,White-European,no,yes,United Kingdom,no,4.0,18 and more,Self,NO
+0,0,0,0,0,0,0,0,0,0,40.0,f,Middle Eastern ,no,no,Afghanistan,no,0.0,18 and more,Parent,NO
+1,0,1,1,1,1,0,0,1,1,45.0,f,White-European,no,no,Canada,no,7.0,18 and more,Self,YES
+1,1,1,1,1,1,0,0,1,1,19.0,f,White-European,yes,no,United Kingdom,no,8.0,18 and more,Parent,YES
+1,1,1,1,0,1,0,1,1,1,55.0,m,White-European,no,yes,United States,no,8.0,18 and more,Others,YES
+1,0,0,1,0,0,1,1,0,1,27.0,f,White-European,yes,no,Australia,no,5.0,18 and more,Self,NO
+1,1,1,1,1,1,1,0,1,1,19.0,f,White-European,yes,no,United Kingdom,no,9.0,18 and more,Self,YES
+1,0,0,1,0,0,0,1,0,0,29.0,m,White-European,no,no,Ireland,no,3.0,18 and more,Self,NO
+1,1,1,1,1,1,1,1,1,1,33.0,f,White-European,yes,no,United Kingdom,no,10.0,18 and more,Self,YES
+0,0,1,1,1,1,1,1,0,0,48.0,f,White-European,no,no,Netherlands,no,6.0,18 and more,Self,NO
+0,0,0,0,0,0,0,1,1,0,37.0,f,Others,no,no,United Kingdom,no,2.0,18 and more,Self,NO
+1,1,1,1,1,0,0,0,1,0,30.0,m,Asian,no,no,Afghanistan,no,6.0,18 and more,Self,NO
+1,1,0,1,0,0,0,0,0,1,37.0,f,White-European,no,no,United Kingdom,no,4.0,18 and more,Self,NO
+1,0,0,1,1,0,1,1,1,1,28.0,f,?,no,no,Saudi Arabia,no,7.0,18 and more,?,YES
+1,0,0,1,1,1,1,1,1,1,20.0,f,White-European,no,no,Austria,no,8.0,18 and more,Self,YES
+1,1,1,1,1,1,0,0,1,1,25.0,f,Others,no,no,United States,no,8.0,18 and more,Self,YES
+1,1,1,1,1,1,0,1,0,0,58.0,f,Middle Eastern ,no,no,United Kingdom,no,7.0,18 and more,Self,YES
+1,0,1,0,0,0,0,0,0,0,36.0,f,White-European,no,no,United States,no,2.0,18 and more,Self,NO
+0,0,1,1,1,0,0,1,0,0,36.0,m,White-European,yes,no,United States,no,4.0,18 and more,Self,NO
+1,0,1,0,1,1,1,1,1,0,19.0,m,Hispanic,no,no,United States,no,7.0,18 and more,Self,YES
+1,0,1,1,1,1,0,1,1,0,19.0,m,Hispanic,no,no,United States,yes,7.0,18 and more,Self,YES
+1,0,0,1,1,0,0,1,0,1,22.0,f,White-European,no,no,New Zealand,no,5.0,18 and more,Self,NO
+1,1,0,0,0,0,0,1,0,0,20.0,m,?,no,no,United Arab Emirates,no,3.0,18 and more,?,NO
+0,1,0,0,0,0,1,1,0,1,24.0,f,Middle Eastern ,no,no,United Arab Emirates,no,4.0,18 and more,Self,NO
+0,0,0,1,1,0,0,1,1,0,19.0,m,Middle Eastern ,no,no,United Arab Emirates,no,4.0,18 and more,Self,NO
+1,1,1,0,1,0,0,1,0,1,21.0,m,Others,no,no,United Arab Emirates,no,6.0,18 and more,Self,NO
+0,0,0,0,0,0,0,0,0,0,20.0,m,Middle Eastern ,no,no,United Arab Emirates,no,0.0,18 and more,Self,NO
+1,1,0,0,0,0,0,0,0,0,18.0,f,Middle Eastern ,no,no,United Arab Emirates,no,2.0,18 and more,Self,NO
+0,1,1,0,0,0,0,1,0,1,23.0,f,Middle Eastern ,no,no,United Arab Emirates,no,4.0,18 and more,Self,NO
+1,1,1,0,1,1,1,1,0,1,22.0,m,Middle Eastern ,no,no,United Arab Emirates,no,8.0,18 and more,Self,YES
+1,1,0,1,1,0,0,0,0,0,18.0,f,South Asian,no,yes,Bangladesh,no,4.0,18 and more,Self,NO
+1,0,0,0,0,0,0,0,0,1,37.0,f,?,no,no,United Arab Emirates,no,2.0,18 and more,?,NO
+1,1,1,0,1,0,0,1,0,0,18.0,m,Middle Eastern ,no,no,United Arab Emirates,no,5.0,18 and more,Relative,NO
+1,1,1,0,1,0,0,1,0,0,18.0,m,Middle Eastern ,no,no,United Arab Emirates,no,5.0,18 and more,Relative,NO
+0,0,0,0,1,0,0,1,0,0,18.0,m,Middle Eastern ,no,no,United Arab Emirates,no,2.0,18 and more,Relative,NO
+1,1,1,0,0,0,0,1,0,0,18.0,m,Middle Eastern ,no,no,United Arab Emirates,no,4.0,18 and more,Relative,NO
+0,1,0,0,0,0,1,1,0,0,18.0,m,Middle Eastern ,no,no,United Arab Emirates,no,3.0,18 and more,Relative,NO
+1,1,1,0,0,0,0,1,0,0,18.0,m,Middle Eastern ,no,no,United Arab Emirates,no,4.0,18 and more,Relative,NO
+1,1,1,1,1,1,1,1,1,1,19.0,m,White-European,no,no,Austria,no,10.0,18 and more,Self,YES
+1,0,0,1,1,1,1,0,1,1,55.0,m,White-European,no,no,United Kingdom,no,7.0,18 and more,Self,YES
+1,0,0,0,0,1,1,0,1,1,32.0,f,Asian,no,no,Canada,no,5.0,18 and more,Parent,NO
+1,1,0,1,0,0,1,1,0,0,50.0,m,White-European,yes,no,United Kingdom,no,5.0,18 and more,Self,NO
+1,1,1,1,0,0,1,1,0,0,40.0,m,White-European,no,no,United Kingdom,no,6.0,18 and more,Self,NO
+1,0,0,1,1,1,0,0,0,0,47.0,m,Middle Eastern ,no,no,Jordan,no,4.0,18 and more,Self,NO
+1,1,0,0,0,0,0,0,0,1,20.0,m,?,no,no,Jordan,no,3.0,18 and more,?,NO
+1,0,1,0,0,0,1,1,0,0,22.0,f,?,no,no,Jordan,no,4.0,18 and more,?,NO
+1,0,0,0,0,0,1,0,0,0,21.0,f,?,no,no,Jordan,no,2.0,18 and more,?,NO
+1,0,1,1,0,0,1,1,1,0,21.0,f,?,no,no,Jordan,no,6.0,18 and more,?,NO
+1,1,1,1,1,0,0,1,0,0,19.0,m,?,no,no,Jordan,no,6.0,18 and more,?,NO
+1,0,1,1,0,0,0,0,0,0,21.0,f,?,no,no,Jordan,no,3.0,18 and more,?,NO
+1,0,0,1,0,0,0,0,0,0,21.0,m,?,no,no,Jordan,no,2.0,18 and more,?,NO
+0,1,0,1,0,1,0,1,0,1,23.0,f,?,no,no,Jordan,no,5.0,18 and more,?,NO
+1,0,0,0,0,0,0,0,0,0,21.0,m,?,no,no,Jordan,no,1.0,18 and more,?,NO
+1,0,0,0,1,0,1,1,1,0,21.0,m,?,no,no,Jordan,no,5.0,18 and more,?,NO
+0,0,0,0,0,0,0,1,0,0,23.0,m,?,no,no,Jordan,no,1.0,18 and more,?,NO
+1,0,1,1,0,1,1,1,1,1,20.0,f,?,no,no,Jordan,no,8.0,18 and more,?,YES
+1,1,1,0,0,0,0,1,0,1,21.0,f,?,no,no,Jordan,no,5.0,18 and more,?,NO
+1,1,1,0,1,0,1,1,1,1,20.0,m,?,no,no,Argentina,no,8.0,18 and more,?,YES
+1,1,0,0,0,0,1,1,0,0,19.0,m,?,no,no,Jordan,no,4.0,18 and more,?,NO
+0,1,0,0,0,0,0,1,0,0,21.0,m,?,no,no,Jordan,no,2.0,18 and more,?,NO
+1,0,1,0,0,0,1,0,0,0,26.0,m,?,no,yes,Jordan,no,3.0,18 and more,?,NO
+0,0,0,1,0,0,0,1,0,0,21.0,m,?,no,no,Jordan,no,2.0,18 and more,?,NO
+0,0,0,0,1,0,0,1,0,0,19.0,m,?,no,no,Japan,no,2.0,18 and more,?,NO
+1,0,0,1,0,0,0,1,0,1,22.0,m,Middle Eastern ,no,no,United Arab Emirates,no,4.0,18 and more,Parent,NO
+1,0,0,0,0,0,0,1,0,0,19.0,f,Middle Eastern ,no,no,United Arab Emirates,no,2.0,18 and more,Self,NO
+1,0,0,1,0,0,1,0,0,1,22.0,m,Middle Eastern ,no,no,United Arab Emirates,no,4.0,18 and more,Self,NO
+0,0,1,0,0,0,0,0,0,1,20.0,m,Middle Eastern ,no,no,United Arab Emirates,no,2.0,18 and more,Self,NO
+1,0,1,0,1,0,0,1,0,0,23.0,m,Middle Eastern ,no,no,United Arab Emirates,no,4.0,18 and more,Self,NO
+0,0,0,0,0,1,0,1,0,0,19.0,f,?,no,no,Ukraine,no,2.0,18 and more,?,NO
+0,0,0,0,1,0,0,1,0,1,20.0,m,Middle Eastern ,no,no,United Arab Emirates,no,3.0,18 and more,Parent,NO
+0,1,0,1,0,0,0,0,0,0,24.0,m,Middle Eastern ,no,no,United Arab Emirates,no,2.0,18 and more,Self,NO
+0,1,1,0,0,0,0,1,0,1,19.0,m,Middle Eastern ,no,no,United Arab Emirates,no,4.0,18 and more,Self,NO
+1,0,0,0,0,1,0,1,0,1,20.0,m,?,no,no,United Arab Emirates,no,4.0,18 and more,?,NO
+1,0,1,0,1,0,0,1,0,1,23.0,m,Middle Eastern ,no,yes,United Arab Emirates,no,5.0,18 and more,Self,NO
+0,0,1,1,0,0,1,0,0,1,20.0,m,Others,no,no,Russia,no,4.0,18 and more,Self,NO
+1,0,1,0,1,0,0,1,0,1,20.0,m,Middle Eastern ,no,no,United Arab Emirates,no,5.0,18 and more,Self,NO
+0,0,0,0,0,0,0,1,1,0,20.0,m,?,yes,no,United Arab Emirates,no,2.0,18 and more,?,NO
+1,0,1,0,0,0,0,0,0,1,20.0,f,?,no,no,United Arab Emirates,no,3.0,18 and more,?,NO
+1,0,0,1,1,0,0,1,0,1,21.0,f,Asian,no,no,Afghanistan,no,5.0,18 and more,Self,NO
+0,1,0,0,0,0,0,0,0,1,19.0,m,?,no,no,Kazakhstan,no,2.0,18 and more,?,NO
+1,0,0,0,0,0,0,1,0,1,20.0,f,Middle Eastern ,no,no,United Arab Emirates,no,3.0,18 and more,Self,NO
+1,0,0,1,1,0,1,0,0,1,20.0,m,Middle Eastern ,no,no,Saudi Arabia,no,5.0,18 and more,Self,NO
+1,0,0,0,0,1,0,0,1,0,25.0,m,Middle Eastern ,yes,yes,Armenia,yes,3.0,18 and more,Relative,NO
+1,0,0,0,0,0,0,1,0,0,20.0,f,Middle Eastern ,no,no,United Arab Emirates,no,2.0,18 and more,Self,NO
+1,0,0,0,0,1,1,1,0,1,22.0,m,Middle Eastern ,no,no,AmericanSamoa,no,5.0,18 and more,Self,NO
+1,0,0,0,0,0,0,1,0,0,20.0,f,?,no,no,United Arab Emirates,no,2.0,18 and more,?,NO
+0,1,0,0,1,1,0,0,0,0,20.0,m,?,no,no,United Arab Emirates,no,3.0,18 and more,?,NO
+0,0,0,1,0,0,1,0,0,0,20.0,f,?,no,no,Jordan,no,2.0,18 and more,?,NO
+1,0,0,0,0,0,0,1,0,0,23.0,f,?,no,no,Jordan,no,2.0,18 and more,?,NO
+1,1,1,1,1,0,1,0,1,1,21.0,f,?,no,no,Jordan,no,8.0,18 and more,?,YES
+1,0,0,0,0,0,1,1,0,1,22.0,m,?,no,no,Jordan,no,4.0,18 and more,?,NO
+1,1,0,0,0,0,0,1,0,0,21.0,f,?,no,no,Jordan,no,3.0,18 and more,?,NO
+1,0,1,0,0,0,0,0,0,1,20.0,f,?,no,no,Jordan,no,3.0,18 and more,?,NO
+1,0,0,1,0,0,0,0,0,0,22.0,f,?,no,no,Jordan,no,2.0,18 and more,?,NO
+1,0,1,1,1,0,1,1,0,0,21.0,f,?,yes,no,Jordan,no,6.0,18 and more,?,NO
+1,1,0,0,1,0,0,1,0,0,20.0,f,?,no,no,Jordan,no,4.0,18 and more,?,NO
+0,1,0,0,0,0,0,1,0,0,20.0,f,Middle Eastern ,no,no,United Arab Emirates,no,2.0,18 and more,Self,NO
+1,0,0,0,1,0,0,1,0,0,21.0,m,?,no,no,Jordan,no,3.0,18 and more,?,NO
+1,0,1,1,1,0,0,0,1,1,21.0,m,Middle Eastern ,no,no,United Arab Emirates,no,6.0,18 and more,Self,NO
+0,1,0,0,0,1,0,1,0,1,23.0,f,Middle Eastern ,no,no,United Arab Emirates,no,4.0,18 and more,Self,NO
+1,1,0,0,0,0,0,1,0,0,21.0,f,Turkish,no,no,United Arab Emirates,no,3.0,18 and more,Self,NO
+1,0,0,0,1,1,0,1,0,1,22.0,f,Black,no,no,United Arab Emirates,no,5.0,18 and more,Self,NO
+0,1,1,1,0,1,0,1,0,0,19.0,f,?,no,no,United Arab Emirates,no,5.0,18 and more,?,NO
+1,1,1,0,1,0,0,0,0,0,20.0,f,Asian,no,no,United Arab Emirates,no,4.0,18 and more,Self,NO
+0,1,0,0,0,0,0,1,0,1,21.0,f,Others,no,no,United Arab Emirates,no,3.0,18 and more,Self,NO
+0,1,1,0,0,0,0,1,0,0,26.0,m,Middle Eastern ,no,no,United Arab Emirates,no,3.0,18 and more,Self,NO
+1,0,0,0,0,0,0,0,0,0,19.0,f,?,no,no,Kazakhstan,no,1.0,18 and more,?,NO
+1,0,0,1,0,0,1,1,0,1,20.0,f,?,no,no,United Arab Emirates,no,5.0,18 and more,?,NO
+1,0,0,0,0,0,0,1,0,1,26.0,f,?,no,no,United Arab Emirates,no,3.0,18 and more,?,NO
+1,0,0,1,0,0,1,0,0,1,23.0,f,Black,no,no,United Arab Emirates,no,4.0,18 and more,Self,NO
+1,0,0,1,0,0,1,0,0,1,28.0,f,?,no,no,United Arab Emirates,no,4.0,18 and more,?,NO
+0,1,0,1,1,0,0,0,0,0,19.0,f,Middle Eastern ,no,no,United Arab Emirates,no,3.0,18 and more,Self,NO
+1,0,0,0,0,0,1,1,0,0,20.0,f,Middle Eastern ,no,no,United Arab Emirates,no,3.0,18 and more,Self,NO
+0,1,0,0,1,0,1,1,0,1,19.0,f,Black,no,no,United Arab Emirates,no,5.0,18 and more,Self,NO
+1,0,1,1,1,1,1,1,1,0,24.0,m,Asian,no,no,India,no,8.0,18 and more,Self,YES
+1,0,0,1,1,0,0,1,0,1,19.0,f,South Asian,no,no,United Arab Emirates,no,5.0,18 and more,Self,NO
+1,1,0,0,0,0,0,0,0,0,22.0,f,Middle Eastern ,no,no,United Arab Emirates,no,2.0,18 and more,Self,NO
+1,1,0,1,0,0,0,0,0,1,20.0,f,Middle Eastern ,no,no,United Arab Emirates,no,4.0,18 and more,Self,NO
+0,1,0,1,0,0,0,1,0,0,21.0,m,Middle Eastern ,no,no,United Arab Emirates,no,3.0,18 and more,Self,NO
+0,0,1,1,1,0,0,1,0,0,24.0,f,Others,no,no,United Arab Emirates,no,4.0,18 and more,Self,NO
+0,0,1,1,1,0,0,0,0,1,18.0,f,Middle Eastern ,no,no,United Arab Emirates,no,4.0,18 and more,Self,NO
+1,0,1,1,1,0,1,1,0,1,19.0,f,Middle Eastern ,no,no,United Arab Emirates,no,7.0,18 and more,Self,YES
+1,0,1,0,0,0,0,0,0,0,19.0,f,Middle Eastern ,no,no,United Arab Emirates,no,2.0,18 and more,Self,NO
+1,0,0,0,0,0,1,1,0,1,31.0,m,Middle Eastern ,yes,no,United Arab Emirates,no,4.0,18 and more,Self,NO
+1,1,0,1,0,0,1,1,0,0,19.0,m,Middle Eastern ,no,no,United Arab Emirates,no,5.0,18 and more,Self,NO
+1,0,0,0,0,0,1,0,1,1,21.0,f,Middle Eastern ,no,no,United Arab Emirates,no,4.0,18 and more,Self,NO
+1,0,0,0,1,0,1,0,0,1,20.0,m,Middle Eastern ,no,no,United Arab Emirates,no,4.0,18 and more,Self,NO
+1,0,1,0,1,0,1,1,0,1,26.0,f,Middle Eastern ,no,no,United Arab Emirates,no,6.0,18 and more,Self,NO
+0,0,0,0,0,0,1,0,0,0,27.0,m,Middle Eastern ,no,no,Afghanistan,no,1.0,18 and more,Self,NO
+1,0,1,0,0,1,0,1,0,0,23.0,f,Middle Eastern ,no,no,United Arab Emirates,no,4.0,18 and more,Self,NO
+0,1,0,1,0,0,0,0,0,0,29.0,f,?,no,no,United Arab Emirates,no,2.0,18 and more,?,NO
+1,1,1,1,0,0,1,0,0,0,23.0,m,Middle Eastern ,no,no,United Arab Emirates,no,5.0,18 and more,Self,NO
+1,0,0,0,0,0,1,1,0,1,23.0,m,Turkish,no,no,United Arab Emirates,no,4.0,18 and more,Others,NO
+1,0,1,1,1,1,0,1,1,1,24.0,m,Asian,no,yes,India,no,8.0,18 and more,Self,YES
+1,0,0,1,0,0,1,1,0,0,21.0,m,?,no,no,Jordan,no,4.0,18 and more,?,NO
+0,0,0,0,1,0,1,0,0,0,20.0,f,?,no,no,Brazil,yes,2.0,18 and more,?,NO
+1,0,1,0,1,0,1,1,1,0,20.0,m,?,no,no,Jordan,no,6.0,18 and more,?,NO
+1,1,1,1,1,1,1,0,1,1,32.0,f,Black,no,no,France,no,9.0,18 and more,Parent,YES
+1,1,1,1,1,1,1,1,1,1,61.0,m,White-European,yes,yes,Uruguay,no,10.0,18 and more,Self,YES
+1,0,0,1,1,0,0,0,0,0,19.0,m,?,no,no,Jordan,no,3.0,18 and more,?,NO
+1,1,1,1,1,1,0,1,1,0,35.0,f,White-European,no,no,Italy,no,8.0,18 and more,Self,YES
+1,0,0,0,0,1,0,0,0,1,34.0,f,White-European,no,no,Ukraine,yes,3.0,18 and more,Self,NO
+0,0,1,1,0,0,0,0,0,0,23.0,f,Middle Eastern ,no,no,United Arab Emirates,yes,2.0,18 and more,Self,NO
+1,1,1,1,0,0,0,0,0,1,19.0,f,White-European,no,no,Serbia,no,5.0,18 and more,Self,NO
+1,1,0,0,1,1,0,1,0,1,36.0,f,Others,no,no,Philippines,no,6.0,18 and more,Parent,NO
+1,1,0,0,0,0,0,1,0,1,21.0,f,?,no,no,Jordan,no,4.0,18 and more,?,NO
+0,1,0,0,0,0,0,1,0,0,23.0,m,White-European,no,no,United States,no,2.0,18 and more,Self,NO
+1,0,1,1,1,0,1,0,0,1,17.0,m,Black,no,no,United States,no,6.0,18 and more,Relative,NO
+1,0,1,0,0,0,0,0,0,0,22.0,m,White-European,no,no,Portugal,no,2.0,18 and more,Self,NO
+0,1,1,1,1,0,1,0,0,1,33.0,m,White-European,no,yes,Australia,no,6.0,18 and more,Relative,NO
+1,1,1,1,1,0,0,1,0,1,23.0,f,Asian,no,no,Malaysia,no,7.0,18 and more,Self,YES
+0,1,1,1,1,1,0,1,0,1,35.0,f,White-European,no,yes,Sweden,no,7.0,18 and more,Self,YES
+1,0,0,0,0,0,0,1,0,1,21.0,m,White-European,no,yes,Australia,no,3.0,18 and more,Self,NO
+1,0,0,1,1,0,1,1,1,1,20.0,f,White-European,no,no,Austria,no,7.0,18 and more,Self,YES
+1,0,0,0,0,0,0,1,0,0,29.0,m,White-European,no,no,Netherlands,no,2.0,18 and more,Health care professional,NO
+1,1,1,1,1,1,1,0,1,1,59.0,m,White-European,no,no,United States,no,9.0,18 and more,Self,YES
+1,1,1,0,0,0,0,1,0,1,18.0,f,White-European,no,no,Netherlands,no,5.0,18 and more,Self,NO
+1,1,0,0,0,0,0,1,0,0,19.0,f,Middle Eastern ,no,no,United Arab Emirates,no,3.0,18 and more,Self,NO
+0,0,1,1,0,0,0,1,0,0,24.0,m,Middle Eastern ,no,no,United Arab Emirates,no,3.0,18 and more,Self,NO
+1,1,1,1,1,0,0,1,1,0,36.0,f,White-European,no,no,Italy,no,7.0,18 and more,Self,YES
+0,0,1,1,1,0,0,0,0,1,19.0,f,?,yes,no,Jordan,no,4.0,18 and more,?,NO
+1,1,0,0,0,0,1,0,0,0,17.0,f,Black,no,no,United Arab Emirates,no,3.0,18 and more,Self,NO
+1,0,0,0,0,0,0,1,0,1,52.0,m,White-European,yes,no,United Kingdom,no,3.0,18 and more,Self,NO
+1,1,0,1,1,0,0,0,0,0,18.0,m,Middle Eastern ,no,no,United Arab Emirates,no,4.0,18 and more,Self,NO
+0,0,0,0,0,0,1,0,0,0,30.0,m,Asian,no,no,Philippines,no,1.0,18 and more,Self,NO
+0,1,1,1,1,1,0,1,1,1,18.0,m,Middle Eastern ,yes,no,New Zealand,no,8.0,18 and more,Self,YES
+1,1,1,1,1,0,0,1,0,0,27.0,m,Latino,no,no,Ecuador,no,6.0,18 and more,Self,NO
+0,0,0,1,0,0,0,0,0,0,52.0,f,White-European,no,no,United Kingdom,no,1.0,18 and more,Self,NO
+0,0,0,0,0,0,0,1,0,0,45.0,f,Asian,no,no,Viet Nam,no,1.0,18 and more,Self,NO
+0,1,1,1,1,1,0,0,1,0,25.0,f,Others,no,no,Afghanistan,no,6.0,18 and more,Health care professional,NO
+0,0,0,1,0,0,1,0,0,1,29.0,f,White-European,no,no,United Kingdom,no,3.0,18 and more,Self,NO
+1,1,0,1,1,1,1,1,0,1,29.0,f,White-European,yes,no,United States,no,8.0,18 and more,Self,YES
+1,0,0,0,0,1,0,0,0,1,18.0,m,White-European,no,yes,Netherlands,no,3.0,18 and more,Self,NO
+0,0,1,1,0,1,1,1,1,1,18.0,m,White-European,no,no,Netherlands,no,7.0,18 and more,Relative,YES
+1,0,1,1,0,1,0,0,0,1,17.0,m,White-European,no,no,Netherlands,no,5.0,18 and more,Relative,NO
+1,1,1,1,1,1,1,1,1,1,27.0,f,Asian,no,no,United States,no,10.0,18 and more,Self,YES
+0,0,0,0,0,0,0,1,0,0,22.0,f,Asian,yes,no,Malaysia,no,1.0,18 and more,Self,NO
+0,0,0,0,0,1,0,1,1,0,23.0,m,Asian,no,no,India,no,3.0,18 and more,Self,NO
+1,1,1,1,1,0,1,1,0,0,25.0,m,Latino,no,no,United Kingdom,no,7.0,18 and more,Self,YES
+1,0,1,1,1,0,0,0,0,0,23.0,f,South Asian,no,no,New Zealand,no,4.0,18 and more,Self,NO
+1,0,0,0,0,0,0,1,0,1,29.0,m,Asian,no,no,India,no,3.0,18 and more,Self,NO
+1,0,0,1,1,0,1,0,0,0,27.0,f,Asian,no,no,Sri Lanka,no,4.0,18 and more,Self,NO
+1,0,0,0,0,1,0,1,0,0,27.0,f,Asian,no,no,India,no,3.0,18 and more,Self,NO
+0,0,0,0,0,0,0,0,0,0,43.0,f,South Asian,no,no,India,no,0.0,18 and more,Parent,NO
+1,0,0,0,0,0,0,1,0,0,26.0,f,Asian,no,no,India,no,2.0,18 and more,Self,NO
+1,0,0,0,1,0,0,1,0,1,30.0,f,Asian,no,no,India,no,4.0,18 and more,Self,NO
+0,0,0,0,0,0,0,1,0,0,23.0,m,White-European,no,no,India,no,1.0,18 and more,Self,NO
+1,0,0,0,1,0,1,1,0,0,29.0,f,Asian,no,no,Sri Lanka,no,4.0,18 and more,Self,NO
+0,0,0,0,0,0,0,1,0,1,37.0,m,White-European,no,no,United Kingdom,no,2.0,18 and more,Parent,NO
+0,0,0,0,0,0,1,0,0,1,28.0,f,White-European,no,no,United Kingdom,no,2.0,18 and more,Self,NO
+1,1,1,1,0,0,1,1,0,0,25.0,m,South Asian,no,no,United States,no,6.0,18 and more,Self,NO
+1,0,1,1,0,0,1,1,0,0,25.0,m,Others,no,no,India,no,5.0,18 and more,Self,NO
+0,1,0,0,0,0,0,1,1,0,21.0,m,?,no,no,Jordan,no,3.0,18 and more,?,NO
+1,1,1,1,1,1,1,0,1,1,43.0,m,White-European,no,no,United Kingdom,no,9.0,18 and more,Self,YES
+1,1,0,1,1,1,0,0,1,1,30.0,f,White-European,no,no,United States,no,7.0,18 and more,Self,YES
+0,1,1,0,0,0,1,0,0,1,18.0,m,Black,no,no,Niger,no,4.0,18 and more,Self,NO
+1,1,1,1,0,0,0,1,0,0,18.0,f,White-European,no,no,Romania,no,5.0,18 and more,Self,NO
+1,1,1,1,0,0,1,1,1,0,30.0,m,Others,no,no,Canada,no,7.0,18 and more,Self,YES
+0,0,0,0,0,0,0,0,0,0,31.0,f,White-European,no,no,Germany,no,0.0,18 and more,Self,NO
+1,0,0,0,1,0,1,1,0,1,33.0,m,Latino,no,no,Mexico,no,5.0,18 and more,Self,NO
+1,1,1,1,1,1,1,1,1,1,33.0,m,Latino,no,no,Mexico,no,10.0,18 and more,Self,YES
+1,1,1,1,0,0,1,0,0,1,26.0,m,White-European,no,no,United Kingdom,no,6.0,18 and more,Self,NO
+1,0,1,1,0,0,0,0,0,0,61.0,f,White-European,no,no,United States,no,3.0,18 and more,Self,NO
+0,0,0,1,0,0,0,1,0,1,46.0,m,Others,no,no,Viet Nam,no,3.0,18 and more,Self,NO
+0,1,1,1,1,1,1,0,1,1,33.0,m,Asian,no,no,India,no,8.0,18 and more,Self,YES
+1,1,1,1,1,0,1,1,0,1,38.0,f,Black,no,no,Canada,no,8.0,18 and more,Self,YES
+1,1,0,0,0,0,0,1,0,0,44.0,m,Black,no,no,France,no,3.0,18 and more,Parent,NO
+0,1,1,1,1,0,0,0,1,0,48.0,f,Black,no,yes,France,no,5.0,18 and more,Parent,NO
+1,1,0,1,1,1,0,1,1,1,42.0,f,Latino,yes,no,Mexico,no,8.0,18 and more,Self,YES
+0,1,0,0,1,0,1,1,0,0,37.0,m,White-European,no,no,Belgium,no,4.0,18 and more,Self,NO
+1,0,1,1,1,0,0,1,0,1,23.0,f,White-European,no,yes,United Kingdom,no,6.0,18 and more,Self,NO
+1,0,1,1,1,0,1,1,1,1,24.0,m,White-European,no,yes,United Kingdom,no,8.0,18 and more,Relative,YES
+1,0,1,0,1,0,1,1,0,1,41.0,m,?,yes,yes,United Kingdom,no,6.0,18 and more,?,NO
+1,0,1,0,0,0,1,0,0,1,41.0,m,Asian,no,no,United Kingdom,no,4.0,18 and more,Self,NO
+0,1,1,0,1,0,0,1,0,0,27.0,m,White-European,no,no,Belgium,no,4.0,18 and more,Self,NO
+1,1,1,1,1,1,1,1,1,1,46.0,f,White-European,yes,yes,United Kingdom,no,10.0,18 and more,Self,YES
+0,1,0,0,0,0,0,0,0,1,40.0,f,White-European,yes,no,United States,no,2.0,18 and more,Self,NO
+0,1,1,1,1,1,1,1,0,1,22.0,f,White-European,no,no,United States,no,8.0,18 and more,Self,YES
+1,1,1,1,1,1,1,0,1,1,42.0,m,White-European,no,no,United Kingdom,no,9.0,18 and more,Self,YES
+1,1,1,0,0,0,0,0,0,1,18.0,f,Asian,no,no,Viet Nam,no,4.0,18 and more,Self,NO
+1,0,1,1,0,0,0,0,0,0,44.0,f,White-European,no,no,United Kingdom,no,3.0,18 and more,Self,NO
+1,1,1,1,1,0,1,1,1,1,30.0,f,White-European,no,no,United States,no,9.0,18 and more,Self,YES
+1,1,1,1,1,1,0,1,1,1,42.0,m,White-European,no,no,Australia,no,9.0,18 and more,Self,YES
+1,1,0,1,0,0,1,0,0,0,35.0,f,White-European,no,yes,United States,no,4.0,18 and more,Parent,NO
+1,0,1,1,1,0,1,0,1,1,40.0,m,Black,no,no,AmericanSamoa,no,7.0,18 and more,Self,YES
+0,1,0,0,0,0,0,0,1,1,50.0,f,?,no,no,New Zealand,no,3.0,18 and more,?,NO
+0,0,1,1,0,0,0,0,0,1,38.0,m,Middle Eastern ,no,no,Egypt,no,3.0,18 and more,Self,NO
+1,1,1,1,1,0,0,1,1,1,26.0,f,White-European,no,yes,Italy,no,8.0,18 and more,Self,YES
+1,1,1,1,1,0,0,1,0,1,27.0,f,White-European,no,no,Malaysia,no,7.0,18 and more,Self,YES
+1,1,1,1,1,0,1,0,1,0,47.0,f,White-European,yes,yes,United States,no,7.0,18 and more,Self,YES
+1,1,0,1,1,1,0,0,0,1,21.0,m,Black,yes,yes,United States,no,6.0,18 and more,Parent,NO
+1,1,1,1,0,1,0,1,1,1,37.0,m,White-European,no,no,United Kingdom,no,8.0,18 and more,Self,YES
+1,0,0,0,0,0,1,1,0,1,19.0,f,Others,no,no,United Kingdom,no,4.0,18 and more,Self,NO
+0,0,0,1,0,0,1,1,0,1,32.0,m,Asian,no,no,United Arab Emirates,no,4.0,18 and more,Self,NO
+0,0,0,0,1,0,0,1,0,1,26.0,f,?,no,no,Iran,no,3.0,18 and more,?,NO
+1,1,1,1,1,1,1,1,1,1,46.0,f,White-European,yes,yes,Australia,no,10.0,18 and more,Self,YES
+0,1,0,0,0,0,0,1,0,0,29.0,m,Black,no,no,France,no,2.0,18 and more,Self,NO
+1,0,0,0,1,0,0,0,0,0,30.0,f,Black,no,no,France,no,2.0,18 and more,Self,NO
+1,1,0,0,0,0,1,1,0,0,32.0,f,Latino,no,no,Bolivia,no,4.0,18 and more,Relative,NO
+0,1,1,1,0,0,0,0,0,1,35.0,f,White-European,yes,no,United States,no,4.0,18 and more,Self,NO
+0,1,1,1,1,1,1,1,1,1,22.0,m,White-European,no,no,United Kingdom,no,9.0,18 and more,Self,YES
+0,0,0,1,1,0,1,0,0,1,19.0,f,?,no,no,Iran,no,4.0,18 and more,?,NO
+0,1,0,0,1,0,0,0,0,1,24.0,m,?,no,no,Iran,no,3.0,18 and more,?,NO
+0,1,0,0,1,0,0,0,0,0,52.0,f,?,no,no,Iran,no,2.0,18 and more,?,NO
+0,1,0,0,1,1,0,0,1,1,52.0,m,?,no,no,Iran,no,5.0,18 and more,?,NO
+1,0,1,0,0,1,0,1,0,0,32.0,f,White-European,no,no,United States,no,4.0,18 and more,Self,NO
+0,1,1,1,1,1,0,0,0,1,24.0,m,White-European,no,no,United States,no,6.0,18 and more,Relative,NO
+1,1,1,1,1,1,0,1,1,1,24.0,m,White-European,no,no,United States,no,9.0,18 and more,Relative,YES
+0,1,0,0,0,0,0,0,0,0,49.0,f,Middle Eastern ,yes,no,New Zealand,no,1.0,18 and more,Parent,NO
+0,1,1,1,1,1,1,1,1,1,30.0,f,Asian,no,no,Malaysia,no,9.0,18 and more,Self,YES
+0,1,1,1,1,1,1,1,1,1,30.0,f,Asian,no,yes,Malaysia,yes,9.0,18 and more,Self,YES
+1,0,1,1,1,1,1,1,1,1,35.0,f,White-European,yes,no,United Kingdom,no,9.0,18 and more,Self,YES
+1,0,1,1,1,1,1,0,0,1,35.0,f,White-European,yes,no,United Kingdom,no,7.0,18 and more,Self,YES
+1,0,1,1,0,0,0,0,0,1,37.0,f,White-European,no,yes,United Kingdom,no,4.0,18 and more,Self,NO
+0,1,1,1,0,0,0,1,0,1,43.0,m,White-European,no,no,United Kingdom,no,5.0,18 and more,Self,NO
+1,1,1,1,0,0,1,0,0,1,52.0,m,White-European,no,no,United Kingdom,no,6.0,18 and more,Self,NO
+1,1,1,1,1,1,1,1,1,1,44.0,m,White-European,no,yes,United Kingdom,no,10.0,18 and more,Self,YES
+1,1,0,0,0,0,0,0,0,0,46.0,f,White-European,no,yes,United Kingdom,no,2.0,18 and more,Self,NO
+1,0,0,0,1,0,0,0,0,1,42.0,f,White-European,no,yes,Australia,no,3.0,18 and more,Self,NO
+0,0,1,0,0,0,0,0,0,0,20.0,m,Asian,no,no,Aruba,no,1.0,18 and more,Self,NO
+1,1,1,0,1,0,1,0,1,1,18.0,m,Middle Eastern ,no,no,New Zealand,no,7.0,18 and more,Self,YES
+1,1,1,1,1,1,0,1,1,1,38.0,m,White-European,no,no,Finland,no,9.0,18 and more,Relative,YES
+1,0,0,1,1,0,0,1,0,0,24.0,f,Latino,no,yes,Mexico,no,4.0,18 and more,Self,NO
+1,1,0,0,0,0,0,1,0,0,32.0,m,?,no,no,Jordan,no,3.0,18 and more,?,NO
+1,1,0,1,1,0,0,0,0,0,29.0,m,Turkish,no,no,United States,no,4.0,18 and more,Self,NO
+1,1,1,1,1,1,1,1,0,1,22.0,f,White-European,no,no,United States,no,9.0,18 and more,Self,YES
+0,1,1,1,1,1,0,0,0,1,19.0,f,White-European,yes,no,United Kingdom,no,6.0,18 and more,Self,NO
+1,1,1,1,1,1,1,0,1,1,39.0,f,White-European,no,yes,United States,no,9.0,18 and more,Self,YES
+1,0,0,1,1,1,1,1,1,1,17.0,m,Black,no,no,United States,no,8.0,18 and more,Self,YES
+0,1,0,1,0,1,1,0,1,1,19.0,f,Middle Eastern ,no,no,Iceland,no,6.0,18 and more,Parent,NO
+1,0,0,0,0,0,1,1,1,0,18.0,m,White-European,no,no,Australia,no,4.0,18 and more,Parent,NO
+0,1,0,0,1,1,0,0,1,0,19.0,m,?,no,no,Kazakhstan,yes,4.0,18 and more,?,NO
+0,1,0,0,0,0,0,1,0,0,28.0,f,Turkish,no,no,Turkey,no,2.0,18 and more,Self,NO
+0,1,0,1,0,1,0,0,0,1,29.0,m,Asian,no,no,New Zealand,no,4.0,18 and more,Self,NO
+1,1,0,0,0,0,1,1,0,0,48.0,m,White-European,no,no,Australia,no,4.0,18 and more,Self,NO
+1,1,1,1,1,1,0,1,1,1,27.0,f,White-European,yes,yes,Netherlands,no,9.0,18 and more,Self,YES
+1,0,1,1,0,0,0,0,0,0,34.0,f,White-European,no,no,United Kingdom,no,3.0,18 and more,Self,NO
+1,1,0,1,0,0,0,0,0,1,31.0,m,White-European,no,no,Australia,no,4.0,18 and more,Self,NO
+1,0,0,0,0,0,0,1,0,1,47.0,m,?,no,no,Jordan,no,3.0,18 and more,?,NO
+1,0,0,1,0,0,0,1,0,0,47.0,m,?,no,no,Jordan,no,3.0,18 and more,?,NO
+1,1,1,1,1,1,1,1,1,1,44.0,m,White-European,no,yes,United Kingdom,no,10.0,18 and more,Self,YES
+1,0,0,0,1,0,1,1,0,0,25.0,f,White-European,no,no,United States,no,4.0,18 and more,Self,NO
+1,0,0,0,1,0,1,1,0,0,25.0,f,White-European,no,no,United States,no,4.0,18 and more,Self,NO
+1,1,0,0,1,1,1,1,1,1,20.0,m,White-European,no,no,United Kingdom,no,8.0,18 and more,Self,YES
+1,1,1,1,1,0,1,1,1,1,43.0,m,White-European,yes,no,New Zealand,no,9.0,18 and more,Self,YES
+1,1,1,1,1,0,0,1,1,1,36.0,f,White-European,no,yes,United Kingdom,no,8.0,18 and more,Self,YES
+1,1,0,0,0,0,0,1,0,0,30.0,f,Asian,no,yes,United States,no,3.0,18 and more,Self,NO
+0,0,1,1,0,0,0,0,0,0,44.0,m,Black,no,no,United Kingdom,no,2.0,18 and more,Self,NO
+1,1,0,0,1,0,0,0,0,1,40.0,f,Black,no,no,United Kingdom,no,4.0,18 and more,Parent,NO
+1,1,0,0,1,1,0,1,1,0,40.0,f,Black,yes,no,United Kingdom,no,6.0,18 and more,Relative,NO
+1,1,0,1,1,1,0,1,1,0,40.0,f,Black,yes,yes,United Kingdom,no,7.0,18 and more,Relative,YES
+1,1,1,1,1,0,0,1,0,1,30.0,m,Others,no,no,United States,no,7.0,18 and more,Self,YES
+1,0,1,1,0,0,1,0,0,1,47.0,f,White-European,no,no,United Kingdom,no,5.0,18 and more,Self,NO
+1,1,1,1,1,1,1,1,1,1,21.0,m,Black,no,no,Brazil,no,10.0,18 and more,Self,YES
+1,1,1,1,1,1,0,1,1,1,21.0,m,Black,no,no,Brazil,no,9.0,18 and more,Self,YES
+1,0,1,1,1,1,1,1,1,1,31.0,f,?,no,no,New Zealand,no,9.0,18 and more,?,YES
+1,1,1,0,0,0,0,0,0,0,21.0,f,Asian,no,no,New Zealand,no,3.0,18 and more,Self,NO
+0,1,1,1,0,0,0,1,1,0,29.0,f,Asian,no,no,United States,no,5.0,18 and more,Self,NO
+0,1,1,1,1,0,1,0,1,0,22.0,m,Middle Eastern ,no,no,Afghanistan,no,6.0,18 and more,Self,NO
+1,1,1,1,1,1,1,1,1,1,51.0,m,White-European,yes,no,United Kingdom,no,10.0,18 and more,Self,YES
+1,0,0,0,0,0,0,0,0,0,23.0,m,?,no,no,Russia,no,1.0,18 and more,?,NO
+1,0,0,0,1,0,0,0,1,1,30.0,m,Asian,no,no,India,no,4.0,18 and more,Self,NO
+1,1,0,0,0,0,0,1,0,0,22.0,m,Others,no,no,India,no,3.0,18 and more,Self,NO
+1,1,0,0,0,0,0,1,0,1,22.0,m,Asian,no,no,New Zealand,no,4.0,18 and more,Self,NO
+1,0,0,0,1,0,1,1,0,1,24.0,m,Asian,no,no,India,no,5.0,18 and more,Self,NO
+1,0,0,0,0,0,0,1,0,1,26.0,f,South Asian,no,no,India,no,3.0,18 and more,Self,NO
+1,0,1,1,0,0,0,1,1,1,33.0,f,Asian,no,no,India,no,6.0,18 and more,Parent,NO
+1,0,0,0,0,0,0,1,1,0,23.0,m,Asian,no,no,India,no,3.0,18 and more,Self,NO
+1,0,1,0,0,0,0,1,0,0,42.0,f,Asian,no,no,India,no,3.0,18 and more,Self,NO
+1,0,1,0,0,0,0,0,0,0,26.0,f,Asian,no,no,India,no,2.0,18 and more,Self,NO
+1,0,0,0,0,0,0,1,0,0,29.0,f,Asian,no,no,New Zealand,no,2.0,18 and more,Self,NO
+1,0,0,0,0,0,1,0,0,1,35.0,f,Asian,no,no,India,no,3.0,18 and more,Self,NO
+1,0,0,0,1,1,0,1,0,0,25.0,f,South Asian,no,no,India,no,4.0,18 and more,Self,NO
+1,0,0,0,0,0,1,1,0,0,25.0,m,Asian,no,no,Sri Lanka,no,3.0,18 and more,Self,NO
+0,0,0,0,0,0,0,1,0,0,28.0,f,Asian,yes,no,India,no,1.0,18 and more,Self,NO
+1,0,0,0,0,0,0,0,0,0,33.0,m,White-European,no,no,Germany,no,1.0,18 and more,Self,NO
+1,0,0,1,0,0,1,1,0,0,25.0,m,Asian,no,no,India,no,4.0,18 and more,Self,NO
+0,0,1,0,1,1,0,1,0,1,25.0,m,Asian,no,no,India,no,5.0,18 and more,Self,NO
+1,0,0,0,1,0,1,1,0,0,24.0,m,Asian,no,no,India,no,4.0,18 and more,Self,NO
+1,1,1,1,0,0,0,0,0,1,27.0,f,South Asian,no,no,India,no,5.0,18 and more,Self,NO
+1,0,0,0,0,0,0,0,0,0,22.0,m,South Asian,no,no,India,no,1.0,18 and more,Self,NO
+1,1,0,1,0,0,0,1,0,1,21.0,f,South Asian,no,no,India,no,5.0,18 and more,Self,NO
+1,0,1,1,0,1,0,1,0,1,27.0,f,South Asian,no,no,India,no,6.0,18 and more,Self,NO
+1,0,0,0,1,0,1,0,0,0,23.0,m,South Asian,no,no,India,no,3.0,18 and more,Self,NO
+0,0,0,1,1,0,0,1,0,1,22.0,m,Asian,no,no,India,no,4.0,18 and more,Self,NO
+0,1,0,0,0,0,0,0,0,1,23.0,f,South Asian,no,no,India,no,2.0,18 and more,Self,NO
+1,0,0,1,0,0,0,1,0,1,30.0,m,Asian,no,no,India,no,4.0,18 and more,Self,NO
+0,1,0,0,1,0,1,1,0,0,33.0,m,Asian,no,no,India,no,4.0,18 and more,Self,NO
+1,0,1,1,1,0,1,1,1,0,24.0,f,South Asian,no,no,India,no,7.0,18 and more,Self,YES
+1,0,0,0,1,0,1,1,0,0,22.0,f,Asian,no,no,New Zealand,no,4.0,18 and more,Self,NO
+1,0,0,1,1,0,1,1,1,1,22.0,m,Asian,no,no,New Zealand,no,7.0,18 and more,Self,YES
+1,0,0,0,0,0,0,1,0,1,29.0,f,South Asian,no,no,India,no,3.0,18 and more,Self,NO
+1,0,1,0,1,0,1,1,0,1,22.0,f,Asian,no,no,India,no,6.0,18 and more,Self,NO
+1,0,1,0,0,0,0,1,0,0,21.0,m,Asian,yes,no,India,no,3.0,18 and more,Self,NO
+1,0,0,0,0,0,1,1,0,0,23.0,m,Asian,no,no,India,no,3.0,18 and more,Self,NO
+1,0,0,0,1,0,1,1,0,1,23.0,f,Others,no,no,India,no,5.0,18 and more,Self,NO
+1,0,0,0,1,0,1,1,1,1,23.0,f,Asian,no,no,India,no,6.0,18 and more,Self,NO
+1,1,0,1,1,0,1,1,0,0,32.0,m,Asian,no,no,Sri Lanka,no,6.0,18 and more,Self,NO
+0,0,0,0,0,0,1,0,0,1,27.0,m,Asian,no,no,Sri Lanka,no,2.0,18 and more,Self,NO
+0,0,1,0,0,0,0,1,0,0,28.0,f,Asian,no,no,India,no,2.0,18 and more,Parent,NO
+1,1,0,0,1,0,0,1,1,1,25.0,f,Middle Eastern ,no,no,India,no,6.0,18 and more,Self,NO
+1,0,1,0,1,0,1,1,1,1,22.0,m,Black,no,no,Nepal,no,7.0,18 and more,Self,YES
+0,1,1,0,0,0,1,0,0,1,36.0,m,White-European,no,no,United Kingdom,no,4.0,18 and more,Self,NO
+0,0,0,0,0,0,0,0,0,0,27.0,f,?,no,no,Russia,no,0.0,18 and more,?,NO
+1,1,1,1,1,1,1,1,1,1,21.0,f,White-European,no,no,Germany,no,10.0,18 and more,Self,YES
+1,1,0,1,1,0,0,1,0,0,18.0,m,Black,no,no,United States,no,5.0,18 and more,Self,NO
+1,0,0,0,1,1,1,1,1,1,49.0,m,Black,no,no,Mexico,no,7.0,18 and more,Parent,YES
+1,1,1,0,0,0,0,1,0,0,18.0,m,Asian,no,no,Indonesia,no,4.0,18 and more,Self,NO
+1,0,1,1,1,0,1,1,1,0,29.0,m,Latino,no,no,United States,no,7.0,18 and more,Self,YES
+0,0,0,0,1,0,0,1,0,0,31.0,f,?,no,no,New Zealand,no,2.0,18 and more,?,NO
+1,0,0,0,0,0,0,0,0,0,37.0,f,Middle Eastern ,no,no,New Zealand,no,1.0,18 and more,Parent,NO
+1,0,1,1,1,0,0,1,0,1,17.0,m,Middle Eastern ,yes,no,New Zealand,no,6.0,18 and more,Parent,NO
+1,0,1,1,0,0,1,1,1,1,17.0,m,?,no,yes,New Zealand,no,7.0,18 and more,?,YES
+1,1,1,1,0,0,0,0,0,0,38.0,f,Middle Eastern ,no,no,Jordan,no,4.0,18 and more,Self,NO
+1,0,1,0,0,1,0,1,0,1,18.0,m,White-European,yes,no,Angola,no,5.0,18 and more,Parent,NO
+1,0,1,1,1,0,0,0,0,0,31.0,f,Middle Eastern ,no,no,United Arab Emirates,no,4.0,18 and more,Self,NO
+0,1,1,1,0,0,0,0,0,0,33.0,m,Middle Eastern ,yes,no,United Arab Emirates,yes,3.0,18 and more,Self,NO
+1,1,0,0,0,0,0,0,0,0,32.0,f,Middle Eastern ,yes,no,Jordan,no,2.0,18 and more,Self,NO
+1,0,0,0,0,0,1,0,0,1,30.0,m,?,yes,no,Jordan,no,3.0,18 and more,?,NO
+0,0,0,0,0,0,0,0,0,1,33.0,f,?,no,no,United States,no,1.0,18 and more,?,NO
+1,1,1,1,1,1,1,1,1,1,30.0,f,White-European,no,yes,Canada,no,10.0,18 and more,Self,YES
+1,1,1,1,1,0,1,1,1,1,30.0,m,Asian,no,no,United States,no,9.0,18 and more,Self,YES
+1,0,0,1,1,0,1,0,0,1,38.0,f,White-European,no,yes,United Kingdom,no,5.0,18 and more,Self,NO
+1,0,0,0,1,0,1,0,1,1,22.0,m,Asian,no,no,India,no,5.0,18 and more,Self,NO
+1,1,0,0,1,0,1,0,1,0,36.0,m,others,no,no,United States,no,5.0,18 and more,Self,NO
+0,0,1,1,0,0,1,0,0,0,43.0,m,?,no,no,Azerbaijan,no,3.0,18 and more,?,NO
+1,1,1,1,1,1,0,0,1,1,44.0,m,?,no,no,Pakistan,no,8.0,18 and more,?,YES
+1,1,1,0,1,1,0,1,1,1,20.0,f,White-European,no,no,France,no,8.0,18 and more,Self,YES
+1,1,1,1,1,1,0,1,1,1,40.0,f,Others,yes,yes,Australia,no,9.0,18 and more,Self,YES
+1,0,0,1,1,1,0,0,1,0,25.0,m,White-European,no,no,Italy,no,5.0,18 and more,Self,NO
+1,0,0,0,0,0,1,1,0,1,28.0,m,White-European,no,no,Australia,no,4.0,18 and more,Self,NO
+0,0,0,0,0,0,1,1,0,1,17.0,m,White-European,no,no,Canada,no,3.0,18 and more,Self,NO
+1,1,1,1,1,1,1,0,1,1,34.0,m,White-European,no,no,United States,no,9.0,18 and more,Self,YES
+0,0,0,0,0,0,0,1,0,0,56.0,m,?,no,no,Iraq,no,1.0,18 and more,?,NO
+0,0,1,0,0,0,1,1,0,0,50.0,f,Middle Eastern ,no,no,New Zealand,no,3.0,18 and more,Parent,NO
+1,0,0,0,0,0,1,1,0,1,38.0,m,White-European,no,no,United States,no,4.0,18 and more,Self,NO
+1,1,1,1,1,1,1,1,1,1,47.0,m,White-European,no,no,United States,no,10.0,18 and more,Self,YES
+1,1,1,1,1,0,1,1,1,1,30.0,m,Others,no,no,United States,no,9.0,18 and more,Self,YES
+1,1,1,1,1,0,0,1,0,1,21.0,m,Hispanic,no,no,United States,no,7.0,18 and more,Self,YES
+1,1,1,1,1,0,1,1,0,1,21.0,m,White-European,no,no,Ireland,no,8.0,18 and more,Self,YES
+1,1,1,0,1,0,1,1,1,1,31.0,m,Latino,no,no,Mexico,no,8.0,18 and more,Self,YES
+1,1,0,0,1,1,0,1,0,1,27.0,f,White-European,yes,no,Czech Republic,no,6.0,18 and more,Self,NO
+1,1,1,1,0,0,0,0,1,0,24.0,f,White-European,yes,no,United States,no,5.0,18 and more,Self,NO
+1,1,0,0,0,0,1,0,0,1,35.0,m,White-European,yes,no,United Kingdom,no,4.0,18 and more,Parent,NO
+1,0,0,0,0,0,1,0,0,1,18.0,m,Black,no,no,Ethiopia,no,3.0,18 and more,Health care professional,NO
+1,1,1,1,1,0,0,1,1,1,43.0,f,Black,no,no,United States,no,8.0,18 and more,Self,YES
+1,1,1,1,1,1,1,1,1,1,44.0,m,White-European,no,yes,Afghanistan,no,10.0,18 and more,Self,YES
+1,1,1,1,1,1,1,1,1,1,40.0,m,White-European,yes,yes,United Kingdom,no,10.0,18 and more,Parent,YES
+1,1,0,1,1,1,1,1,1,1,49.0,f,Hispanic,no,no,United States,no,9.0,18 and more,Self,YES
+1,1,0,0,0,0,0,1,0,0,24.0,m,Hispanic,no,no,United States,no,3.0,18 and more,Self,NO
+1,1,0,0,0,0,0,1,1,0,30.0,f,White-European,yes,yes,United States,no,4.0,18 and more,Self,NO
+1,0,1,0,0,0,0,1,0,1,53.0,m,Hispanic,no,no,United States,no,4.0,18 and more,Relative,NO
+1,0,1,1,1,0,0,1,1,1,38.0,m,White-European,no,yes,Belgium,no,7.0,18 and more,Self,YES
+1,0,0,0,1,0,1,1,0,1,28.0,m,White-European,no,no,United States,no,5.0,18 and more,Self,NO
+1,1,1,0,1,1,1,1,1,1,28.0,m,White-European,no,no,United States,no,9.0,18 and more,Self,YES
+1,0,1,1,1,1,1,0,1,1,26.0,m,Black,no,no,Canada,no,8.0,18 and more,Self,YES
+1,0,0,0,1,1,1,1,1,1,39.0,f,White-European,no,no,Canada,no,7.0,18 and more,Self,YES
+0,0,0,0,1,0,0,0,0,0,31.0,f,Asian,yes,no,India,no,1.0,18 and more,Self,NO
+1,0,0,1,0,0,1,1,0,0,24.0,m,Black,no,no,United States,no,4.0,18 and more,Self,NO
+1,1,1,0,1,1,1,1,0,1,28.0,m,White-European,no,no,United States,no,8.0,18 and more,Self,YES
+1,0,0,1,0,0,0,1,0,1,31.0,f,White-European,no,no,United Kingdom,no,4.0,18 and more,Self,NO
+1,1,1,1,1,0,0,1,0,1,27.0,m,White-European,yes,no,United States,no,7.0,18 and more,Self,YES
+1,0,1,1,0,0,1,1,0,0,28.0,m,Latino,no,no,Brazil,yes,5.0,18 and more,Parent,NO
+1,1,1,1,1,1,0,1,1,1,31.0,m,Turkish,no,yes,Australia,no,9.0,18 and more,Self,YES
+1,1,1,1,1,0,0,0,0,1,46.0,f,Asian,no,no,Philippines,no,6.0,18 and more,Self,NO
+1,1,1,1,1,1,1,1,1,1,27.0,f,Pasifika,no,no,Australia,no,10.0,18 and more,Self,YES
+0,1,0,1,1,0,1,1,1,1,25.0,f,White-European,no,no,Russia,no,7.0,18 and more,Self,YES
+1,0,0,0,0,0,0,1,0,1,34.0,m,Hispanic,no,no,Mexico,no,3.0,18 and more,Parent,NO
+1,0,1,1,1,0,1,1,0,1,24.0,f,?,no,no,Russia,no,7.0,18 and more,?,YES
+1,0,0,1,1,0,1,0,1,1,35.0,m,South Asian,no,no,Pakistan,no,6.0,18 and more,Self,NO
+1,0,1,1,1,0,1,1,1,1,26.0,f,White-European,no,no,Cyprus,no,8.0,18 and more,Self,YES

requirements.txt

@@ -0,0 +1,6 @@
+keras==2.9.0
+matplotlib==3.5.2
+numpy==1.23.1
+pandas==1.4.3
+streamlit==1.12.0
+tensorflow

setup.sh

@@ -0,0 +1,13 @@
+mkdir -p ~/.streamlit/
+
+echo "\
+[general]\n\
+email = \"your-email@domain.com\"\n\
+" > ~/.streamlit/credentials.toml
+
+echo "\
+[server]\n\
+headless = true\n\
+enableCORS=false\n\
+port = $PORT\n\
+" > ~/.streamlit/config.toml