├── .gitignore
├── MainActivity.java
├── Procfile
├── README.md
├── activity_main.xml
├── app.py
├── model.pkl
├── requirements.txt
├── student-placement-predictor.ipynb
└── students_placement.csv


/.gitignore:
--------------------------------------------------------------------------------
1 | venv


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/MainActivity.java:
--------------------------------------------------------------------------------
 1 | package com.mywbut.studentapp;
 2 | 
 3 | import androidx.appcompat.app.AppCompatActivity;
 4 | 
 5 | import android.os.Bundle;
 6 | import android.view.View;
 7 | import android.widget.Button;
 8 | import android.widget.EditText;
 9 | import android.widget.TextView;
10 | import android.widget.Toast;
11 | 
12 | import com.android.volley.Request;
13 | import com.android.volley.RequestQueue;
14 | import com.android.volley.Response;
15 | import com.android.volley.VolleyError;
16 | import com.android.volley.toolbox.StringRequest;
17 | import com.android.volley.toolbox.Volley;
18 | 
19 | import org.json.JSONException;
20 | import org.json.JSONObject;
21 | 
22 | import java.util.HashMap;
23 | import java.util.Map;
24 | 
25 | public class MainActivity extends AppCompatActivity {
26 | 
27 |     EditText cgpa,iq,profile_score;
28 |     Button predict;
29 |     TextView result;
30 |     String url = "https://campusx-student-app.herokuapp.com/predict";
31 | 
32 |     @Override
33 |     protected void onCreate(Bundle savedInstanceState) {
34 |         super.onCreate(savedInstanceState);
35 |         setContentView(R.layout.activity_main);
36 | 
37 |         cgpa = findViewById(R.id.cgpa);
38 |         iq = findViewById(R.id.iq);
39 |         profile_score = findViewById(R.id.profile_score);
40 |         predict = findViewById(R.id.predict);
41 |         result = findViewById(R.id.result);
42 | 
43 |         predict.setOnClickListener(new View.OnClickListener() {
44 |             @Override
45 |             public void onClick(View view) {
46 |                 // hit the API -> Volley
47 |                 StringRequest stringRequest = new StringRequest(Request.Method.POST, url,
48 |                         new Response.Listener<String>() {
49 |                             @Override
50 |                             public void onResponse(String response) {
51 | 
52 |                                 try {
53 |                                     JSONObject jsonObject = new JSONObject(response);
54 |                                     String data = jsonObject.getString("placement");
55 |                                     if(data.equals("1")){
56 |                                         result.setText("Placement Hoga");
57 |                                     }else{
58 |                                         result.setText("Placement Nahi Hoga");
59 |                                     }
60 |                                 } catch (JSONException e) {
61 |                                     e.printStackTrace();
62 |                                 }
63 | 
64 |                             }
65 |                         },
66 |                         new Response.ErrorListener() {
67 |                             @Override
68 |                             public void onErrorResponse(VolleyError error) {
69 |                                 Toast.makeText(MainActivity.this, error.getMessage(), Toast.LENGTH_SHORT).show();
70 |                             }
71 |                         }){
72 | 
73 |                     @Override
74 |                     protected Map<String,String> getParams(){
75 |                         Map<String,String> params = new HashMap<String,String>();
76 |                         params.put("cgpa",cgpa.getText().toString());
77 |                         params.put("iq",iq.getText().toString());
78 |                         params.put("profile_score",profile_score.getText().toString());
79 | 
80 |                         return params;
81 |                     }
82 | 
83 |                 };
84 |                 RequestQueue queue = Volley.newRequestQueue(MainActivity.this);
85 |                 queue.add(stringRequest);
86 |             }
87 |         });
88 |     }
89 | }


--------------------------------------------------------------------------------
/Procfile:
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1 | web: gunicorn app:app


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/README.md:
--------------------------------------------------------------------------------
1 | # deploy-ml-model-as-android-app
2 | Code to deploy ML model as an Android App
3 | 


--------------------------------------------------------------------------------
/activity_main.xml:
--------------------------------------------------------------------------------
 1 | <?xml version="1.0" encoding="utf-8"?>
 2 | <LinearLayout xmlns:android="http://schemas.android.com/apk/res/android"
 3 |     xmlns:app="http://schemas.android.com/apk/res-auto"
 4 |     xmlns:tools="http://schemas.android.com/tools"
 5 |     android:layout_width="match_parent"
 6 |     android:layout_height="match_parent"
 7 |     tools:context=".MainActivity"
 8 |     android:orientation="vertical">
 9 | 
10 |     <TextView
11 |         android:layout_width="match_parent"
12 |         android:layout_height="wrap_content"
13 |         android:text="Student Placement Predictor"
14 |         android:textSize="30dp"
15 |         android:textAlignment="center"
16 |         android:layout_marginTop="30dp"></TextView>
17 | 
18 |     <EditText
19 |         android:layout_width="match_parent"
20 |         android:layout_height="wrap_content"
21 |         android:hint="CGPA"
22 |         android:id="@+id/cgpa"
23 |         android:layout_marginTop="20dp"
24 |         ></EditText>
25 |     <EditText
26 |         android:layout_width="match_parent"
27 |         android:layout_height="wrap_content"
28 |         android:hint="IQ"
29 |         android:id="@+id/iq"
30 |         android:layout_marginTop="20dp"
31 |         ></EditText>
32 |     <EditText
33 |         android:layout_width="match_parent"
34 |         android:layout_height="wrap_content"
35 |         android:hint="profile_score"
36 |         android:id="@+id/profile_score"
37 |         android:layout_marginTop="20dp"
38 |         ></EditText>
39 |     <Button
40 |         android:layout_width="match_parent"
41 |         android:layout_height="wrap_content"
42 |         android:text="Predict"
43 |         android:layout_marginTop="30dp"
44 |         android:id="@+id/predict"></Button>
45 |     <TextView
46 |         android:layout_width="match_parent"
47 |         android:layout_height="wrap_content"
48 |         android:text=""
49 |         android:textSize="50dp"
50 |         android:textAlignment="center"
51 |         android:layout_marginTop="80dp"
52 |         android:id="@+id/result"></TextView>
53 | 
54 | </LinearLayout>


--------------------------------------------------------------------------------
/app.py:
--------------------------------------------------------------------------------
 1 | from flask import Flask,request,jsonify
 2 | import numpy as np
 3 | import pickle
 4 | 
 5 | model = pickle.load(open('model.pkl','rb'))
 6 | 
 7 | app = Flask(__name__)
 8 | 
 9 | @app.route('/')
10 | def index():
11 |     return "Hello world"
12 | 
13 | @app.route('/predict',methods=['POST'])
14 | def predict():
15 |     cgpa = request.form.get('cgpa')
16 |     iq = request.form.get('iq')
17 |     profile_score = request.form.get('profile_score')
18 | 
19 |     input_query = np.array([[cgpa,iq,profile_score]])
20 | 
21 |     result = model.predict(input_query)[0]
22 | 
23 |     return jsonify({'placement':str(result)})
24 | 
25 | if __name__ == '__main__':
26 |     app.run(debug=True)


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/model.pkl:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/campusx-official/deploy-ml-model-as-android-app/ef8e2164e9ead7316bf97643591fd319f3da27e8/model.pkl


--------------------------------------------------------------------------------
/requirements.txt:
--------------------------------------------------------------------------------
1 | flask
2 | numpy
3 | sklearn
4 | gunicorn


--------------------------------------------------------------------------------
/student-placement-predictor.ipynb:
--------------------------------------------------------------------------------
  1 | {
  2 |  "cells": [
  3 |   {
  4 |    "cell_type": "code",
  5 |    "execution_count": 1,
  6 |    "id": "a69b3232",
  7 |    "metadata": {},
  8 |    "outputs": [],
  9 |    "source": [
 10 |     "import numpy as np\n",
 11 |     "import pandas as pd"
 12 |    ]
 13 |   },
 14 |   {
 15 |    "cell_type": "code",
 16 |    "execution_count": 2,
 17 |    "id": "39097193",
 18 |    "metadata": {},
 19 |    "outputs": [],
 20 |    "source": [
 21 |     "df = pd.read_csv('students_placement.csv')"
 22 |    ]
 23 |   },
 24 |   {
 25 |    "cell_type": "code",
 26 |    "execution_count": 3,
 27 |    "id": "44ecb891",
 28 |    "metadata": {},
 29 |    "outputs": [
 30 |     {
 31 |      "data": {
 32 |       "text/plain": [
 33 |        "(300, 4)"
 34 |       ]
 35 |      },
 36 |      "execution_count": 3,
 37 |      "metadata": {},
 38 |      "output_type": "execute_result"
 39 |     }
 40 |    ],
 41 |    "source": [
 42 |     "df.shape"
 43 |    ]
 44 |   },
 45 |   {
 46 |    "cell_type": "code",
 47 |    "execution_count": 4,
 48 |    "id": "0102f6be",
 49 |    "metadata": {},
 50 |    "outputs": [
 51 |     {
 52 |      "data": {
 53 |       "text/html": [
 54 |        "<div>\n",
 55 |        "<style scoped>\n",
 56 |        "    .dataframe tbody tr th:only-of-type {\n",
 57 |        "        vertical-align: middle;\n",
 58 |        "    }\n",
 59 |        "\n",
 60 |        "    .dataframe tbody tr th {\n",
 61 |        "        vertical-align: top;\n",
 62 |        "    }\n",
 63 |        "\n",
 64 |        "    .dataframe thead th {\n",
 65 |        "        text-align: right;\n",
 66 |        "    }\n",
 67 |        "</style>\n",
 68 |        "<table border=\"1\" class=\"dataframe\">\n",
 69 |        "  <thead>\n",
 70 |        "    <tr style=\"text-align: right;\">\n",
 71 |        "      <th></th>\n",
 72 |        "      <th>cgpa</th>\n",
 73 |        "      <th>iq</th>\n",
 74 |        "      <th>profile_score</th>\n",
 75 |        "      <th>placed</th>\n",
 76 |        "    </tr>\n",
 77 |        "  </thead>\n",
 78 |        "  <tbody>\n",
 79 |        "    <tr>\n",
 80 |        "      <th>176</th>\n",
 81 |        "      <td>4.60</td>\n",
 82 |        "      <td>116</td>\n",
 83 |        "      <td>71</td>\n",
 84 |        "      <td>0</td>\n",
 85 |        "    </tr>\n",
 86 |        "    <tr>\n",
 87 |        "      <th>77</th>\n",
 88 |        "      <td>7.11</td>\n",
 89 |        "      <td>97</td>\n",
 90 |        "      <td>49</td>\n",
 91 |        "      <td>1</td>\n",
 92 |        "    </tr>\n",
 93 |        "    <tr>\n",
 94 |        "      <th>79</th>\n",
 95 |        "      <td>8.41</td>\n",
 96 |        "      <td>93</td>\n",
 97 |        "      <td>78</td>\n",
 98 |        "      <td>1</td>\n",
 99 |        "    </tr>\n",
100 |        "    <tr>\n",
101 |        "      <th>76</th>\n",
102 |        "      <td>6.99</td>\n",
103 |        "      <td>94</td>\n",
104 |        "      <td>73</td>\n",
105 |        "      <td>1</td>\n",
106 |        "    </tr>\n",
107 |        "    <tr>\n",
108 |        "      <th>182</th>\n",
109 |        "      <td>7.66</td>\n",
110 |        "      <td>92</td>\n",
111 |        "      <td>71</td>\n",
112 |        "      <td>1</td>\n",
113 |        "    </tr>\n",
114 |        "  </tbody>\n",
115 |        "</table>\n",
116 |        "</div>"
117 |       ],
118 |       "text/plain": [
119 |        "     cgpa   iq  profile_score  placed\n",
120 |        "176  4.60  116             71       0\n",
121 |        "77   7.11   97             49       1\n",
122 |        "79   8.41   93             78       1\n",
123 |        "76   6.99   94             73       1\n",
124 |        "182  7.66   92             71       1"
125 |       ]
126 |      },
127 |      "execution_count": 4,
128 |      "metadata": {},
129 |      "output_type": "execute_result"
130 |     }
131 |    ],
132 |    "source": [
133 |     "df.sample(5)"
134 |    ]
135 |   },
136 |   {
137 |    "cell_type": "code",
138 |    "execution_count": 5,
139 |    "id": "bebb8518",
140 |    "metadata": {},
141 |    "outputs": [],
142 |    "source": [
143 |     "X = df.drop(columns=['placed'])\n",
144 |     "y = df['placed']"
145 |    ]
146 |   },
147 |   {
148 |    "cell_type": "code",
149 |    "execution_count": 6,
150 |    "id": "7bf7d3ce",
151 |    "metadata": {},
152 |    "outputs": [],
153 |    "source": [
154 |     "from sklearn.model_selection import train_test_split\n",
155 |     "X_train,X_test,y_train,y_test = train_test_split(X,y,test_size=0.2,random_state=2)"
156 |    ]
157 |   },
158 |   {
159 |    "cell_type": "code",
160 |    "execution_count": 22,
161 |    "id": "08abd989",
162 |    "metadata": {},
163 |    "outputs": [
164 |     {
165 |      "data": {
166 |       "text/plain": [
167 |        "0.8833333333333333"
168 |       ]
169 |      },
170 |      "execution_count": 22,
171 |      "metadata": {},
172 |      "output_type": "execute_result"
173 |     }
174 |    ],
175 |    "source": [
176 |     "from sklearn.ensemble import RandomForestClassifier\n",
177 |     "from sklearn.metrics import accuracy_score\n",
178 |     "\n",
179 |     "rf = RandomForestClassifier()\n",
180 |     "\n",
181 |     "rf.fit(X_train,y_train)\n",
182 |     "\n",
183 |     "y_pred = rf.predict(X_test)\n",
184 |     "\n",
185 |     "accuracy_score(y_test,y_pred)"
186 |    ]
187 |   },
188 |   {
189 |    "cell_type": "code",
190 |    "execution_count": 7,
191 |    "id": "38ec1510",
192 |    "metadata": {},
193 |    "outputs": [
194 |     {
195 |      "data": {
196 |       "text/plain": [
197 |        "0.9"
198 |       ]
199 |      },
200 |      "execution_count": 7,
201 |      "metadata": {},
202 |      "output_type": "execute_result"
203 |     }
204 |    ],
205 |    "source": [
206 |     "from sklearn.neighbors import KNeighborsClassifier\n",
207 |     "from sklearn.metrics import accuracy_score\n",
208 |     "\n",
209 |     "knn = KNeighborsClassifier(n_neighbors=5)\n",
210 |     "\n",
211 |     "knn.fit(X_train,y_train)\n",
212 |     "\n",
213 |     "y_pred = knn.predict(X_test)\n",
214 |     "\n",
215 |     "accuracy_score(y_test,y_pred)"
216 |    ]
217 |   },
218 |   {
219 |    "cell_type": "code",
220 |    "execution_count": 8,
221 |    "id": "52ce0f1a",
222 |    "metadata": {},
223 |    "outputs": [],
224 |    "source": [
225 |     "import pickle \n",
226 |     "pickle.dump(knn,open('model.pkl','wb'))"
227 |    ]
228 |   },
229 |   {
230 |    "cell_type": "code",
231 |    "execution_count": null,
232 |    "id": "32eac8d0",
233 |    "metadata": {},
234 |    "outputs": [],
235 |    "source": []
236 |   }
237 |  ],
238 |  "metadata": {
239 |   "kernelspec": {
240 |    "display_name": "Python 3",
241 |    "language": "python",
242 |    "name": "python3"
243 |   },
244 |   "language_info": {
245 |    "codemirror_mode": {
246 |     "name": "ipython",
247 |     "version": 3
248 |    },
249 |    "file_extension": ".py",
250 |    "mimetype": "text/x-python",
251 |    "name": "python",
252 |    "nbconvert_exporter": "python",
253 |    "pygments_lexer": "ipython3",
254 |    "version": "3.8.8"
255 |   }
256 |  },
257 |  "nbformat": 4,
258 |  "nbformat_minor": 5
259 | }
260 | 


--------------------------------------------------------------------------------
/students_placement.csv:
--------------------------------------------------------------------------------
  1 | cgpa,iq,profile_score,placed
  2 | 5.97,106,61,0
  3 | 6.83,113,77,0
  4 | 6.6,110,61,0
  5 | 5.54,113,68,0
  6 | 6.84,102,67,0
  7 | 7.15,98,63,1
  8 | 7.4,100,71,1
  9 | 7.97,86,100,1
 10 | 6.64,111,56,0
 11 | 7.82,99,58,0
 12 | 7.64,102,51,0
 13 | 5.64,106,36,0
 14 | 6.83,103,29,1
 15 | 7.74,96,72,1
 16 | 8.03,92,54,1
 17 | 7.88,91,59,1
 18 | 6.6,111,51,0
 19 | 8.83,93,45,1
 20 | 7.05,97,62,1
 21 | 7.37,99,77,1
 22 | 5.78,112,46,0
 23 | 5.41,115,54,0
 24 | 7.36,105,77,1
 25 | 7.76,96,62,1
 26 | 5.51,112,51,0
 27 | 7.19,97,47,1
 28 | 7.73,90,68,1
 29 | 6.66,106,61,0
 30 | 6.74,107,66,0
 31 | 7.21,96,94,1
 32 | 5.99,113,59,0
 33 | 6.27,106,80,0
 34 | 6.57,110,61,0
 35 | 7.4,105,44,1
 36 | 7.55,92,63,1
 37 | 5.5,112,54,0
 38 | 7.93,94,53,1
 39 | 6.89,103,37,0
 40 | 6.79,92,73,1
 41 | 6.57,108,71,1
 42 | 6.76,101,64,0
 43 | 6.05,106,94,0
 44 | 6.01,115,61,0
 45 | 6.34,105,62,1
 46 | 6.04,111,71,0
 47 | 6.84,95,51,1
 48 | 7.32,97,54,1
 49 | 8.09,97,80,1
 50 | 7.6,98,58,0
 51 | 7.65,94,87,1
 52 | 7.05,102,45,1
 53 | 6.75,106,69,0
 54 | 6.56,104,77,1
 55 | 8.43,88,42,1
 56 | 7.19,98,65,1
 57 | 8.48,91,51,1
 58 | 5.31,116,51,0
 59 | 6.46,109,61,0
 60 | 7.7,103,56,1
 61 | 6.45,107,63,0
 62 | 6.85,104,49,1
 63 | 6.24,111,69,0
 64 | 7.1,97,86,1
 65 | 7.24,95,43,1
 66 | 7.5,102,59,0
 67 | 8.41,100,58,1
 68 | 6.42,115,59,0
 69 | 5.56,107,95,0
 70 | 5.23,111,75,0
 71 | 8.12,92,37,1
 72 | 6.02,121,27,0
 73 | 7.05,96,49,1
 74 | 6.15,85,63,1
 75 | 5.52,107,78,0
 76 | 7.49,88,47,1
 77 | 5.76,108,64,0
 78 | 6.99,94,73,1
 79 | 7.11,97,49,1
 80 | 6.83,111,63,0
 81 | 8.41,93,78,1
 82 | 5.29,103,83,0
 83 | 5.61,110,67,0
 84 | 6.06,116,53,0
 85 | 6.11,106,64,0
 86 | 7.01,97,59,1
 87 | 6.86,106,59,0
 88 | 7.31,104,43,1
 89 | 5.33,103,75,0
 90 | 5.91,114,54,0
 91 | 5.83,110,68,0
 92 | 7.63,91,79,1
 93 | 4.94,104,82,0
 94 | 5.81,115,35,0
 95 | 7.06,108,39,1
 96 | 7.08,99,61,1
 97 | 7.43,88,69,1
 98 | 5.25,113,65,0
 99 | 7.32,101,69,1
100 | 7.27,91,70,1
101 | 8.11,95,60,1
102 | 8.35,98,71,1
103 | 5.83,106,60,0
104 | 8.21,94,52,1
105 | 5.61,108,55,0
106 | 8.08,94,49,1
107 | 7.35,93,45,1
108 | 5.61,108,74,0
109 | 6.89,105,76,1
110 | 7.45,108,65,0
111 | 6.23,113,65,0
112 | 7.4,111,46,0
113 | 5.67,112,67,0
114 | 6.75,111,27,0
115 | 8.25,92,67,1
116 | 5.89,108,72,0
117 | 7.3,101,50,1
118 | 6.61,105,53,0
119 | 7.41,110,57,0
120 | 4.8,109,25,0
121 | 5.54,118,60,0
122 | 7.93,95,50,1
123 | 5.54,114,78,0
124 | 7.71,109,50,0
125 | 6.26,97,82,1
126 | 7.55,100,57,1
127 | 6.27,110,38,0
128 | 6.73,101,70,0
129 | 6.65,106,45,1
130 | 8.0,92,59,1
131 | 5.8,116,50,0
132 | 6.69,93,72,1
133 | 7.08,95,43,1
134 | 6.99,116,63,0
135 | 8.21,89,51,1
136 | 6.58,113,57,0
137 | 6.54,97,43,0
138 | 7.54,98,67,1
139 | 9.07,84,70,1
140 | 8.8,83,62,1
141 | 7.54,96,71,1
142 | 6.34,105,65,0
143 | 5.05,109,58,0
144 | 6.01,106,72,0
145 | 7.0,100,62,1
146 | 7.01,99,64,1
147 | 6.13,107,78,0
148 | 6.84,96,32,1
149 | 8.11,93,72,1
150 | 7.54,90,53,1
151 | 5.86,99,87,0
152 | 5.67,103,68,0
153 | 5.7,118,65,0
154 | 8.12,103,26,1
155 | 6.27,107,59,1
156 | 5.56,117,68,1
157 | 6.68,110,50,0
158 | 5.71,117,76,0
159 | 5.19,108,69,0
160 | 4.9,110,44,0
161 | 5.84,105,67,1
162 | 5.65,116,70,0
163 | 6.11,111,44,0
164 | 6.0,101,55,1
165 | 5.52,116,58,0
166 | 6.02,107,69,0
167 | 7.52,106,73,0
168 | 8.17,94,54,1
169 | 5.13,114,83,0
170 | 8.12,94,72,1
171 | 6.34,99,52,0
172 | 5.76,103,67,0
173 | 8.71,88,58,1
174 | 6.62,96,37,1
175 | 7.22,94,58,1
176 | 7.81,95,59,1
177 | 6.4,105,55,0
178 | 4.6,116,71,0
179 | 6.66,105,67,1
180 | 5.77,105,47,0
181 | 5.67,109,54,0
182 | 8.04,89,48,1
183 | 6.17,115,52,0
184 | 7.66,92,71,1
185 | 6.69,104,74,1
186 | 8.49,89,70,1
187 | 6.88,92,59,1
188 | 7.52,110,51,0
189 | 8.54,88,67,1
190 | 6.97,101,68,1
191 | 6.04,104,30,0
192 | 7.21,96,59,1
193 | 5.34,104,98,0
194 | 5.6,109,57,0
195 | 8.37,107,58,0
196 | 7.04,96,47,1
197 | 7.97,96,76,1
198 | 6.76,108,72,1
199 | 6.32,107,68,0
200 | 6.64,98,49,1
201 | 5.67,111,69,0
202 | 8.37,91,63,1
203 | 7.83,97,43,1
204 | 4.97,116,72,0
205 | 8.47,87,72,1
206 | 6.55,107,59,0
207 | 6.7,102,58,1
208 | 5.97,116,23,0
209 | 7.65,93,35,1
210 | 6.44,114,42,0
211 | 7.24,95,66,1
212 | 7.12,88,48,1
213 | 5.64,110,51,0
214 | 6.89,88,98,1
215 | 6.44,102,54,0
216 | 5.8,107,92,0
217 | 7.0,104,48,0
218 | 6.47,108,41,0
219 | 7.21,104,76,1
220 | 6.54,109,51,1
221 | 7.59,87,68,1
222 | 7.23,89,58,1
223 | 8.25,96,57,1
224 | 7.38,99,64,1
225 | 5.62,106,78,0
226 | 5.77,112,62,0
227 | 7.42,92,63,1
228 | 6.49,109,54,0
229 | 7.07,94,49,1
230 | 8.07,92,62,1
231 | 9.3,85,68,1
232 | 9.05,94,67,1
233 | 6.02,107,74,0
234 | 5.85,114,68,0
235 | 6.97,105,53,1
236 | 7.86,101,70,0
237 | 5.12,105,68,0
238 | 5.86,105,43,0
239 | 7.12,107,62,0
240 | 8.29,89,70,1
241 | 6.92,99,85,1
242 | 7.49,95,64,1
243 | 8.56,102,63,1
244 | 7.24,113,72,0
245 | 5.76,120,64,0
246 | 6.49,108,45,1
247 | 8.52,99,58,1
248 | 6.14,110,57,0
249 | 6.75,92,39,1
250 | 5.94,101,38,1
251 | 6.53,90,99,1
252 | 5.49,110,58,0
253 | 7.62,97,43,1
254 | 6.88,94,71,1
255 | 8.84,91,81,1
256 | 7.34,97,51,1
257 | 6.34,112,54,0
258 | 7.65,98,50,1
259 | 5.54,107,76,0
260 | 5.76,114,52,0
261 | 5.13,114,54,0
262 | 7.48,100,54,1
263 | 7.51,90,69,1
264 | 6.79,102,55,1
265 | 6.8,103,52,0
266 | 7.12,96,54,1
267 | 6.34,105,65,0
268 | 7.26,110,56,0
269 | 6.91,112,45,0
270 | 7.42,98,49,1
271 | 7.88,97,31,1
272 | 5.51,114,51,0
273 | 7.03,97,50,0
274 | 5.94,108,28,0
275 | 8.13,91,35,1
276 | 5.49,110,47,0
277 | 6.29,102,59,1
278 | 6.89,104,81,1
279 | 5.19,116,86,0
280 | 5.91,108,45,0
281 | 7.14,99,70,1
282 | 6.85,102,67,1
283 | 7.6,103,64,0
284 | 8.26,92,69,1
285 | 8.35,96,89,1
286 | 7.06,93,44,1
287 | 8.7,96,56,1
288 | 6.98,105,54,0
289 | 5.28,111,52,0
290 | 7.15,106,78,1
291 | 5.83,104,51,0
292 | 5.84,112,32,0
293 | 7.83,101,41,1
294 | 6.8,109,41,0
295 | 6.86,110,63,0
296 | 7.18,106,61,0
297 | 6.44,107,54,0
298 | 6.09,108,52,0
299 | 7.68,101,70,1
300 | 7.0,90,28,1
301 | 4.79,118,70,0
302 | 


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