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JPogodzinski 2021-05-31 19:11:26 +02:00
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age,sex,cp,trestbps,chol,fbs,restecg,thalach,exang,oldpeak,slope,ca,thal,target
63,1,3,145,233,1,0,150,0,2.3,0,0,1,1
37,1,2,130,250,0,1,187,0,3.5,0,0,2,1
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44,1,1,120,263,0,1,173,0,0,2,0,3,1
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43,1,0,150,247,0,1,171,0,1.5,2,0,2,1
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44,1,2,130,233,0,1,179,1,0.4,2,0,2,1
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57,1,2,150,126,1,1,173,0,0.2,2,1,3,1
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55,1,1,130,262,0,1,155,0,0,2,0,2,1
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41,0,2,112,268,0,0,172,1,0,2,0,2,1
54,0,2,108,267,0,0,167,0,0,2,0,2,1
39,0,2,94,199,0,1,179,0,0,2,0,2,1
34,0,1,118,210,0,1,192,0,0.7,2,0,2,1
47,1,0,112,204,0,1,143,0,0.1,2,0,2,1
67,0,2,152,277,0,1,172,0,0,2,1,2,1
52,0,2,136,196,0,0,169,0,0.1,1,0,2,1
74,0,1,120,269,0,0,121,1,0.2,2,1,2,1
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42,1,1,120,295,0,1,162,0,0,2,0,2,1
41,1,1,110,235,0,1,153,0,0,2,0,2,1
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62,1,1,128,208,1,0,140,0,0,2,0,2,1
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58,1,2,112,230,0,0,165,0,2.5,1,1,3,0
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54,1,0,120,188,0,1,113,0,1.4,1,1,3,0
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60,1,2,140,185,0,0,155,0,3,1,0,2,0
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46,1,2,150,231,0,1,147,0,3.6,1,0,2,0
67,1,0,125,254,1,1,163,0,0.2,1,2,3,0
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58,1,0,150,270,0,0,111,1,0.8,2,0,3,0
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52,1,0,128,255,0,1,161,1,0,2,1,3,0
59,1,0,110,239,0,0,142,1,1.2,1,1,3,0
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35,1,0,120,198,0,1,130,1,1.6,1,0,3,0
59,1,3,170,288,0,0,159,0,0.2,1,0,3,0
64,1,2,125,309,0,1,131,1,1.8,1,0,3,0
47,1,2,108,243,0,1,152,0,0,2,0,2,0
57,1,0,165,289,1,0,124,0,1,1,3,3,0
55,1,0,160,289,0,0,145,1,0.8,1,1,3,0
64,1,0,120,246,0,0,96,1,2.2,0,1,2,0
70,1,0,130,322,0,0,109,0,2.4,1,3,2,0
51,1,0,140,299,0,1,173,1,1.6,2,0,3,0
58,1,0,125,300,0,0,171,0,0,2,2,3,0
60,1,0,140,293,0,0,170,0,1.2,1,2,3,0
77,1,0,125,304,0,0,162,1,0,2,3,2,0
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70,1,2,160,269,0,1,112,1,2.9,1,1,3,0
59,0,0,174,249,0,1,143,1,0,1,0,2,0
64,1,0,145,212,0,0,132,0,2,1,2,1,0
57,1,0,152,274,0,1,88,1,1.2,1,1,3,0
56,1,0,132,184,0,0,105,1,2.1,1,1,1,0
48,1,0,124,274,0,0,166,0,0.5,1,0,3,0
56,0,0,134,409,0,0,150,1,1.9,1,2,3,0
66,1,1,160,246,0,1,120,1,0,1,3,1,0
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69,1,2,140,254,0,0,146,0,2,1,3,3,0
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59,1,3,160,273,0,0,125,0,0,2,0,2,0
45,1,0,142,309,0,0,147,1,0,1,3,3,0
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66,0,0,178,228,1,1,165,1,1,1,2,3,0
52,1,0,112,230,0,1,160,0,0,2,1,2,0
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63,0,0,108,269,0,1,169,1,1.8,1,2,2,0
54,1,0,110,206,0,0,108,1,0,1,1,2,0
66,1,0,112,212,0,0,132,1,0.1,2,1,2,0
55,0,0,180,327,0,2,117,1,3.4,1,0,2,0
49,1,2,118,149,0,0,126,0,0.8,2,3,2,0
54,1,0,122,286,0,0,116,1,3.2,1,2,2,0
56,1,0,130,283,1,0,103,1,1.6,0,0,3,0
46,1,0,120,249,0,0,144,0,0.8,2,0,3,0
61,1,3,134,234,0,1,145,0,2.6,1,2,2,0
67,1,0,120,237,0,1,71,0,1,1,0,2,0
58,1,0,100,234,0,1,156,0,0.1,2,1,3,0
47,1,0,110,275,0,0,118,1,1,1,1,2,0
52,1,0,125,212,0,1,168,0,1,2,2,3,0
58,1,0,146,218,0,1,105,0,2,1,1,3,0
57,1,1,124,261,0,1,141,0,0.3,2,0,3,0
58,0,1,136,319,1,0,152,0,0,2,2,2,0
61,1,0,138,166,0,0,125,1,3.6,1,1,2,0
42,1,0,136,315,0,1,125,1,1.8,1,0,1,0
52,1,0,128,204,1,1,156,1,1,1,0,0,0
59,1,2,126,218,1,1,134,0,2.2,1,1,1,0
40,1,0,152,223,0,1,181,0,0,2,0,3,0
61,1,0,140,207,0,0,138,1,1.9,2,1,3,0
46,1,0,140,311,0,1,120,1,1.8,1,2,3,0
59,1,3,134,204,0,1,162,0,0.8,2,2,2,0
57,1,1,154,232,0,0,164,0,0,2,1,2,0
57,1,0,110,335,0,1,143,1,3,1,1,3,0
55,0,0,128,205,0,2,130,1,2,1,1,3,0
61,1,0,148,203,0,1,161,0,0,2,1,3,0
58,1,0,114,318,0,2,140,0,4.4,0,3,1,0
58,0,0,170,225,1,0,146,1,2.8,1,2,1,0
67,1,2,152,212,0,0,150,0,0.8,1,0,3,0
44,1,0,120,169,0,1,144,1,2.8,0,0,1,0
63,1,0,140,187,0,0,144,1,4,2,2,3,0
63,0,0,124,197,0,1,136,1,0,1,0,2,0
59,1,0,164,176,1,0,90,0,1,1,2,1,0
57,0,0,140,241,0,1,123,1,0.2,1,0,3,0
45,1,3,110,264,0,1,132,0,1.2,1,0,3,0
68,1,0,144,193,1,1,141,0,3.4,1,2,3,0
57,1,0,130,131,0,1,115,1,1.2,1,1,3,0
57,0,1,130,236,0,0,174,0,0,1,1,2,0
1 age sex cp trestbps chol fbs restecg thalach exang oldpeak slope ca thal target
2 63 1 3 145 233 1 0 150 0 2.3 0 0 1 1
3 37 1 2 130 250 0 1 187 0 3.5 0 0 2 1
4 41 0 1 130 204 0 0 172 0 1.4 2 0 2 1
5 56 1 1 120 236 0 1 178 0 0.8 2 0 2 1
6 57 0 0 120 354 0 1 163 1 0.6 2 0 2 1
7 57 1 0 140 192 0 1 148 0 0.4 1 0 1 1
8 56 0 1 140 294 0 0 153 0 1.3 1 0 2 1
9 44 1 1 120 263 0 1 173 0 0 2 0 3 1
10 52 1 2 172 199 1 1 162 0 0.5 2 0 3 1
11 57 1 2 150 168 0 1 174 0 1.6 2 0 2 1
12 54 1 0 140 239 0 1 160 0 1.2 2 0 2 1
13 48 0 2 130 275 0 1 139 0 0.2 2 0 2 1
14 49 1 1 130 266 0 1 171 0 0.6 2 0 2 1
15 64 1 3 110 211 0 0 144 1 1.8 1 0 2 1
16 58 0 3 150 283 1 0 162 0 1 2 0 2 1
17 50 0 2 120 219 0 1 158 0 1.6 1 0 2 1
18 58 0 2 120 340 0 1 172 0 0 2 0 2 1
19 66 0 3 150 226 0 1 114 0 2.6 0 0 2 1
20 43 1 0 150 247 0 1 171 0 1.5 2 0 2 1
21 69 0 3 140 239 0 1 151 0 1.8 2 2 2 1
22 59 1 0 135 234 0 1 161 0 0.5 1 0 3 1
23 44 1 2 130 233 0 1 179 1 0.4 2 0 2 1
24 42 1 0 140 226 0 1 178 0 0 2 0 2 1
25 61 1 2 150 243 1 1 137 1 1 1 0 2 1
26 40 1 3 140 199 0 1 178 1 1.4 2 0 3 1
27 71 0 1 160 302 0 1 162 0 0.4 2 2 2 1
28 59 1 2 150 212 1 1 157 0 1.6 2 0 2 1
29 51 1 2 110 175 0 1 123 0 0.6 2 0 2 1
30 65 0 2 140 417 1 0 157 0 0.8 2 1 2 1
31 53 1 2 130 197 1 0 152 0 1.2 0 0 2 1
32 41 0 1 105 198 0 1 168 0 0 2 1 2 1
33 65 1 0 120 177 0 1 140 0 0.4 2 0 3 1
34 44 1 1 130 219 0 0 188 0 0 2 0 2 1
35 54 1 2 125 273 0 0 152 0 0.5 0 1 2 1
36 51 1 3 125 213 0 0 125 1 1.4 2 1 2 1
37 46 0 2 142 177 0 0 160 1 1.4 0 0 2 1
38 54 0 2 135 304 1 1 170 0 0 2 0 2 1
39 54 1 2 150 232 0 0 165 0 1.6 2 0 3 1
40 65 0 2 155 269 0 1 148 0 0.8 2 0 2 1
41 65 0 2 160 360 0 0 151 0 0.8 2 0 2 1
42 51 0 2 140 308 0 0 142 0 1.5 2 1 2 1
43 48 1 1 130 245 0 0 180 0 0.2 1 0 2 1
44 45 1 0 104 208 0 0 148 1 3 1 0 2 1
45 53 0 0 130 264 0 0 143 0 0.4 1 0 2 1
46 39 1 2 140 321 0 0 182 0 0 2 0 2 1
47 52 1 1 120 325 0 1 172 0 0.2 2 0 2 1
48 44 1 2 140 235 0 0 180 0 0 2 0 2 1
49 47 1 2 138 257 0 0 156 0 0 2 0 2 1
50 53 0 2 128 216 0 0 115 0 0 2 0 0 1
51 53 0 0 138 234 0 0 160 0 0 2 0 2 1
52 51 0 2 130 256 0 0 149 0 0.5 2 0 2 1
53 66 1 0 120 302 0 0 151 0 0.4 1 0 2 1
54 62 1 2 130 231 0 1 146 0 1.8 1 3 3 1
55 44 0 2 108 141 0 1 175 0 0.6 1 0 2 1
56 63 0 2 135 252 0 0 172 0 0 2 0 2 1
57 52 1 1 134 201 0 1 158 0 0.8 2 1 2 1
58 48 1 0 122 222 0 0 186 0 0 2 0 2 1
59 45 1 0 115 260 0 0 185 0 0 2 0 2 1
60 34 1 3 118 182 0 0 174 0 0 2 0 2 1
61 57 0 0 128 303 0 0 159 0 0 2 1 2 1
62 71 0 2 110 265 1 0 130 0 0 2 1 2 1
63 54 1 1 108 309 0 1 156 0 0 2 0 3 1
64 52 1 3 118 186 0 0 190 0 0 1 0 1 1
65 41 1 1 135 203 0 1 132 0 0 1 0 1 1
66 58 1 2 140 211 1 0 165 0 0 2 0 2 1
67 35 0 0 138 183 0 1 182 0 1.4 2 0 2 1
68 51 1 2 100 222 0 1 143 1 1.2 1 0 2 1
69 45 0 1 130 234 0 0 175 0 0.6 1 0 2 1
70 44 1 1 120 220 0 1 170 0 0 2 0 2 1
71 62 0 0 124 209 0 1 163 0 0 2 0 2 1
72 54 1 2 120 258 0 0 147 0 0.4 1 0 3 1
73 51 1 2 94 227 0 1 154 1 0 2 1 3 1
74 29 1 1 130 204 0 0 202 0 0 2 0 2 1
75 51 1 0 140 261 0 0 186 1 0 2 0 2 1
76 43 0 2 122 213 0 1 165 0 0.2 1 0 2 1
77 55 0 1 135 250 0 0 161 0 1.4 1 0 2 1
78 51 1 2 125 245 1 0 166 0 2.4 1 0 2 1
79 59 1 1 140 221 0 1 164 1 0 2 0 2 1
80 52 1 1 128 205 1 1 184 0 0 2 0 2 1
81 58 1 2 105 240 0 0 154 1 0.6 1 0 3 1
82 41 1 2 112 250 0 1 179 0 0 2 0 2 1
83 45 1 1 128 308 0 0 170 0 0 2 0 2 1
84 60 0 2 102 318 0 1 160 0 0 2 1 2 1
85 52 1 3 152 298 1 1 178 0 1.2 1 0 3 1
86 42 0 0 102 265 0 0 122 0 0.6 1 0 2 1
87 67 0 2 115 564 0 0 160 0 1.6 1 0 3 1
88 68 1 2 118 277 0 1 151 0 1 2 1 3 1
89 46 1 1 101 197 1 1 156 0 0 2 0 3 1
90 54 0 2 110 214 0 1 158 0 1.6 1 0 2 1
91 58 0 0 100 248 0 0 122 0 1 1 0 2 1
92 48 1 2 124 255 1 1 175 0 0 2 2 2 1
93 57 1 0 132 207 0 1 168 1 0 2 0 3 1
94 52 1 2 138 223 0 1 169 0 0 2 4 2 1
95 54 0 1 132 288 1 0 159 1 0 2 1 2 1
96 45 0 1 112 160 0 1 138 0 0 1 0 2 1
97 53 1 0 142 226 0 0 111 1 0 2 0 3 1
98 62 0 0 140 394 0 0 157 0 1.2 1 0 2 1
99 52 1 0 108 233 1 1 147 0 0.1 2 3 3 1
100 43 1 2 130 315 0 1 162 0 1.9 2 1 2 1
101 53 1 2 130 246 1 0 173 0 0 2 3 2 1
102 42 1 3 148 244 0 0 178 0 0.8 2 2 2 1
103 59 1 3 178 270 0 0 145 0 4.2 0 0 3 1
104 63 0 1 140 195 0 1 179 0 0 2 2 2 1
105 42 1 2 120 240 1 1 194 0 0.8 0 0 3 1
106 50 1 2 129 196 0 1 163 0 0 2 0 2 1
107 68 0 2 120 211 0 0 115 0 1.5 1 0 2 1
108 69 1 3 160 234 1 0 131 0 0.1 1 1 2 1
109 45 0 0 138 236 0 0 152 1 0.2 1 0 2 1
110 50 0 1 120 244 0 1 162 0 1.1 2 0 2 1
111 50 0 0 110 254 0 0 159 0 0 2 0 2 1
112 64 0 0 180 325 0 1 154 1 0 2 0 2 1
113 57 1 2 150 126 1 1 173 0 0.2 2 1 3 1
114 64 0 2 140 313 0 1 133 0 0.2 2 0 3 1
115 43 1 0 110 211 0 1 161 0 0 2 0 3 1
116 55 1 1 130 262 0 1 155 0 0 2 0 2 1
117 37 0 2 120 215 0 1 170 0 0 2 0 2 1
118 41 1 2 130 214 0 0 168 0 2 1 0 2 1
119 56 1 3 120 193 0 0 162 0 1.9 1 0 3 1
120 46 0 1 105 204 0 1 172 0 0 2 0 2 1
121 46 0 0 138 243 0 0 152 1 0 1 0 2 1
122 64 0 0 130 303 0 1 122 0 2 1 2 2 1
123 59 1 0 138 271 0 0 182 0 0 2 0 2 1
124 41 0 2 112 268 0 0 172 1 0 2 0 2 1
125 54 0 2 108 267 0 0 167 0 0 2 0 2 1
126 39 0 2 94 199 0 1 179 0 0 2 0 2 1
127 34 0 1 118 210 0 1 192 0 0.7 2 0 2 1
128 47 1 0 112 204 0 1 143 0 0.1 2 0 2 1
129 67 0 2 152 277 0 1 172 0 0 2 1 2 1
130 52 0 2 136 196 0 0 169 0 0.1 1 0 2 1
131 74 0 1 120 269 0 0 121 1 0.2 2 1 2 1
132 54 0 2 160 201 0 1 163 0 0 2 1 2 1
133 49 0 1 134 271 0 1 162 0 0 1 0 2 1
134 42 1 1 120 295 0 1 162 0 0 2 0 2 1
135 41 1 1 110 235 0 1 153 0 0 2 0 2 1
136 41 0 1 126 306 0 1 163 0 0 2 0 2 1
137 49 0 0 130 269 0 1 163 0 0 2 0 2 1
138 60 0 2 120 178 1 1 96 0 0 2 0 2 1
139 62 1 1 128 208 1 0 140 0 0 2 0 2 1
140 57 1 0 110 201 0 1 126 1 1.5 1 0 1 1
141 64 1 0 128 263 0 1 105 1 0.2 1 1 3 1
142 51 0 2 120 295 0 0 157 0 0.6 2 0 2 1
143 43 1 0 115 303 0 1 181 0 1.2 1 0 2 1
144 42 0 2 120 209 0 1 173 0 0 1 0 2 1
145 67 0 0 106 223 0 1 142 0 0.3 2 2 2 1
146 76 0 2 140 197 0 2 116 0 1.1 1 0 2 1
147 70 1 1 156 245 0 0 143 0 0 2 0 2 1
148 44 0 2 118 242 0 1 149 0 0.3 1 1 2 1
149 60 0 3 150 240 0 1 171 0 0.9 2 0 2 1
150 44 1 2 120 226 0 1 169 0 0 2 0 2 1
151 42 1 2 130 180 0 1 150 0 0 2 0 2 1
152 66 1 0 160 228 0 0 138 0 2.3 2 0 1 1
153 71 0 0 112 149 0 1 125 0 1.6 1 0 2 1
154 64 1 3 170 227 0 0 155 0 0.6 1 0 3 1
155 66 0 2 146 278 0 0 152 0 0 1 1 2 1
156 39 0 2 138 220 0 1 152 0 0 1 0 2 1
157 58 0 0 130 197 0 1 131 0 0.6 1 0 2 1
158 47 1 2 130 253 0 1 179 0 0 2 0 2 1
159 35 1 1 122 192 0 1 174 0 0 2 0 2 1
160 58 1 1 125 220 0 1 144 0 0.4 1 4 3 1
161 56 1 1 130 221 0 0 163 0 0 2 0 3 1
162 56 1 1 120 240 0 1 169 0 0 0 0 2 1
163 55 0 1 132 342 0 1 166 0 1.2 2 0 2 1
164 41 1 1 120 157 0 1 182 0 0 2 0 2 1
165 38 1 2 138 175 0 1 173 0 0 2 4 2 1
166 38 1 2 138 175 0 1 173 0 0 2 4 2 1
167 67 1 0 160 286 0 0 108 1 1.5 1 3 2 0
168 67 1 0 120 229 0 0 129 1 2.6 1 2 3 0
169 62 0 0 140 268 0 0 160 0 3.6 0 2 2 0
170 63 1 0 130 254 0 0 147 0 1.4 1 1 3 0
171 53 1 0 140 203 1 0 155 1 3.1 0 0 3 0
172 56 1 2 130 256 1 0 142 1 0.6 1 1 1 0
173 48 1 1 110 229 0 1 168 0 1 0 0 3 0
174 58 1 1 120 284 0 0 160 0 1.8 1 0 2 0
175 58 1 2 132 224 0 0 173 0 3.2 2 2 3 0
176 60 1 0 130 206 0 0 132 1 2.4 1 2 3 0
177 40 1 0 110 167 0 0 114 1 2 1 0 3 0
178 60 1 0 117 230 1 1 160 1 1.4 2 2 3 0
179 64 1 2 140 335 0 1 158 0 0 2 0 2 0
180 43 1 0 120 177 0 0 120 1 2.5 1 0 3 0
181 57 1 0 150 276 0 0 112 1 0.6 1 1 1 0
182 55 1 0 132 353 0 1 132 1 1.2 1 1 3 0
183 65 0 0 150 225 0 0 114 0 1 1 3 3 0
184 61 0 0 130 330 0 0 169 0 0 2 0 2 0
185 58 1 2 112 230 0 0 165 0 2.5 1 1 3 0
186 50 1 0 150 243 0 0 128 0 2.6 1 0 3 0
187 44 1 0 112 290 0 0 153 0 0 2 1 2 0
188 60 1 0 130 253 0 1 144 1 1.4 2 1 3 0
189 54 1 0 124 266 0 0 109 1 2.2 1 1 3 0
190 50 1 2 140 233 0 1 163 0 0.6 1 1 3 0
191 41 1 0 110 172 0 0 158 0 0 2 0 3 0
192 51 0 0 130 305 0 1 142 1 1.2 1 0 3 0
193 58 1 0 128 216 0 0 131 1 2.2 1 3 3 0
194 54 1 0 120 188 0 1 113 0 1.4 1 1 3 0
195 60 1 0 145 282 0 0 142 1 2.8 1 2 3 0
196 60 1 2 140 185 0 0 155 0 3 1 0 2 0
197 59 1 0 170 326 0 0 140 1 3.4 0 0 3 0
198 46 1 2 150 231 0 1 147 0 3.6 1 0 2 0
199 67 1 0 125 254 1 1 163 0 0.2 1 2 3 0
200 62 1 0 120 267 0 1 99 1 1.8 1 2 3 0
201 65 1 0 110 248 0 0 158 0 0.6 2 2 1 0
202 44 1 0 110 197 0 0 177 0 0 2 1 2 0
203 60 1 0 125 258 0 0 141 1 2.8 1 1 3 0
204 58 1 0 150 270 0 0 111 1 0.8 2 0 3 0
205 68 1 2 180 274 1 0 150 1 1.6 1 0 3 0
206 62 0 0 160 164 0 0 145 0 6.2 0 3 3 0
207 52 1 0 128 255 0 1 161 1 0 2 1 3 0
208 59 1 0 110 239 0 0 142 1 1.2 1 1 3 0
209 60 0 0 150 258 0 0 157 0 2.6 1 2 3 0
210 49 1 2 120 188 0 1 139 0 2 1 3 3 0
211 59 1 0 140 177 0 1 162 1 0 2 1 3 0
212 57 1 2 128 229 0 0 150 0 0.4 1 1 3 0
213 61 1 0 120 260 0 1 140 1 3.6 1 1 3 0
214 39 1 0 118 219 0 1 140 0 1.2 1 0 3 0
215 61 0 0 145 307 0 0 146 1 1 1 0 3 0
216 56 1 0 125 249 1 0 144 1 1.2 1 1 2 0
217 43 0 0 132 341 1 0 136 1 3 1 0 3 0
218 62 0 2 130 263 0 1 97 0 1.2 1 1 3 0
219 63 1 0 130 330 1 0 132 1 1.8 2 3 3 0
220 65 1 0 135 254 0 0 127 0 2.8 1 1 3 0
221 48 1 0 130 256 1 0 150 1 0 2 2 3 0
222 63 0 0 150 407 0 0 154 0 4 1 3 3 0
223 55 1 0 140 217 0 1 111 1 5.6 0 0 3 0
224 65 1 3 138 282 1 0 174 0 1.4 1 1 2 0
225 56 0 0 200 288 1 0 133 1 4 0 2 3 0
226 54 1 0 110 239 0 1 126 1 2.8 1 1 3 0
227 70 1 0 145 174 0 1 125 1 2.6 0 0 3 0
228 62 1 1 120 281 0 0 103 0 1.4 1 1 3 0
229 35 1 0 120 198 0 1 130 1 1.6 1 0 3 0
230 59 1 3 170 288 0 0 159 0 0.2 1 0 3 0
231 64 1 2 125 309 0 1 131 1 1.8 1 0 3 0
232 47 1 2 108 243 0 1 152 0 0 2 0 2 0
233 57 1 0 165 289 1 0 124 0 1 1 3 3 0
234 55 1 0 160 289 0 0 145 1 0.8 1 1 3 0
235 64 1 0 120 246 0 0 96 1 2.2 0 1 2 0
236 70 1 0 130 322 0 0 109 0 2.4 1 3 2 0
237 51 1 0 140 299 0 1 173 1 1.6 2 0 3 0
238 58 1 0 125 300 0 0 171 0 0 2 2 3 0
239 60 1 0 140 293 0 0 170 0 1.2 1 2 3 0
240 77 1 0 125 304 0 0 162 1 0 2 3 2 0
241 35 1 0 126 282 0 0 156 1 0 2 0 3 0
242 70 1 2 160 269 0 1 112 1 2.9 1 1 3 0
243 59 0 0 174 249 0 1 143 1 0 1 0 2 0
244 64 1 0 145 212 0 0 132 0 2 1 2 1 0
245 57 1 0 152 274 0 1 88 1 1.2 1 1 3 0
246 56 1 0 132 184 0 0 105 1 2.1 1 1 1 0
247 48 1 0 124 274 0 0 166 0 0.5 1 0 3 0
248 56 0 0 134 409 0 0 150 1 1.9 1 2 3 0
249 66 1 1 160 246 0 1 120 1 0 1 3 1 0
250 54 1 1 192 283 0 0 195 0 0 2 1 3 0
251 69 1 2 140 254 0 0 146 0 2 1 3 3 0
252 51 1 0 140 298 0 1 122 1 4.2 1 3 3 0
253 43 1 0 132 247 1 0 143 1 0.1 1 4 3 0
254 62 0 0 138 294 1 1 106 0 1.9 1 3 2 0
255 67 1 0 100 299 0 0 125 1 0.9 1 2 2 0
256 59 1 3 160 273 0 0 125 0 0 2 0 2 0
257 45 1 0 142 309 0 0 147 1 0 1 3 3 0
258 58 1 0 128 259 0 0 130 1 3 1 2 3 0
259 50 1 0 144 200 0 0 126 1 0.9 1 0 3 0
260 62 0 0 150 244 0 1 154 1 1.4 1 0 2 0
261 38 1 3 120 231 0 1 182 1 3.8 1 0 3 0
262 66 0 0 178 228 1 1 165 1 1 1 2 3 0
263 52 1 0 112 230 0 1 160 0 0 2 1 2 0
264 53 1 0 123 282 0 1 95 1 2 1 2 3 0
265 63 0 0 108 269 0 1 169 1 1.8 1 2 2 0
266 54 1 0 110 206 0 0 108 1 0 1 1 2 0
267 66 1 0 112 212 0 0 132 1 0.1 2 1 2 0
268 55 0 0 180 327 0 2 117 1 3.4 1 0 2 0
269 49 1 2 118 149 0 0 126 0 0.8 2 3 2 0
270 54 1 0 122 286 0 0 116 1 3.2 1 2 2 0
271 56 1 0 130 283 1 0 103 1 1.6 0 0 3 0
272 46 1 0 120 249 0 0 144 0 0.8 2 0 3 0
273 61 1 3 134 234 0 1 145 0 2.6 1 2 2 0
274 67 1 0 120 237 0 1 71 0 1 1 0 2 0
275 58 1 0 100 234 0 1 156 0 0.1 2 1 3 0
276 47 1 0 110 275 0 0 118 1 1 1 1 2 0
277 52 1 0 125 212 0 1 168 0 1 2 2 3 0
278 58 1 0 146 218 0 1 105 0 2 1 1 3 0
279 57 1 1 124 261 0 1 141 0 0.3 2 0 3 0
280 58 0 1 136 319 1 0 152 0 0 2 2 2 0
281 61 1 0 138 166 0 0 125 1 3.6 1 1 2 0
282 42 1 0 136 315 0 1 125 1 1.8 1 0 1 0
283 52 1 0 128 204 1 1 156 1 1 1 0 0 0
284 59 1 2 126 218 1 1 134 0 2.2 1 1 1 0
285 40 1 0 152 223 0 1 181 0 0 2 0 3 0
286 61 1 0 140 207 0 0 138 1 1.9 2 1 3 0
287 46 1 0 140 311 0 1 120 1 1.8 1 2 3 0
288 59 1 3 134 204 0 1 162 0 0.8 2 2 2 0
289 57 1 1 154 232 0 0 164 0 0 2 1 2 0
290 57 1 0 110 335 0 1 143 1 3 1 1 3 0
291 55 0 0 128 205 0 2 130 1 2 1 1 3 0
292 61 1 0 148 203 0 1 161 0 0 2 1 3 0
293 58 1 0 114 318 0 2 140 0 4.4 0 3 1 0
294 58 0 0 170 225 1 0 146 1 2.8 1 2 1 0
295 67 1 2 152 212 0 0 150 0 0.8 1 0 3 0
296 44 1 0 120 169 0 1 144 1 2.8 0 0 1 0
297 63 1 0 140 187 0 0 144 1 4 2 2 3 0
298 63 0 0 124 197 0 1 136 1 0 1 0 2 0
299 59 1 0 164 176 1 0 90 0 1 1 2 1 0
300 57 0 0 140 241 0 1 123 1 0.2 1 0 3 0
301 45 1 3 110 264 0 1 132 0 1.2 1 0 3 0
302 68 1 0 144 193 1 1 141 0 3.4 1 2 3 0
303 57 1 0 130 131 0 1 115 1 1.2 1 1 3 0
304 57 0 1 130 236 0 0 174 0 0 1 1 2 0

93
main.py Normal file
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@ -0,0 +1,93 @@
import pandas as pd
data=pd.read_csv('heart.csv')
print(data)
men=0
for i in range(len(data['sex'])):
if data['sex'][i] ==1:
men+=1
print(men)
p_men=men/len(data)
print("ssssss",p_men)
chol=0
for i in range(len(data['chol'])):
if data['chol'][i] >200:
chol+=1
print(chol)
p_chol=chol/len(data)
print(p_chol)
age_over_50=0
for i in range(len(data['age'])):
if data['age'][i] >50:
age_over_50+=1
print(age_over_50)
p_age_over_50=age_over_50/len(data)
print(p_age_over_50)
sugar=0
for i in range(len(data['fbs'])):
if data['fbs'][i] ==1:
sugar+=1
print(sugar)
p_sugar=sugar/len(data)
print(p_sugar)
heart_attack=0
for i in range(len(data['target'])):
if data['target'][i] ==1:
heart_attack+=1
print(heart_attack)
p_heart_attack=heart_attack/len(data)
print(p_heart_attack) #P(class)
man_if_heart_attack=0
for i in range(len(data['target'])):
if data['target'][i] ==1:
if data['sex'][i]==1:
man_if_heart_attack+=1
print(man_if_heart_attack)
p_man_if_heart_attack=man_if_heart_attack/len(data)
p_man_if_heart_attack=p_man_if_heart_attack/p_heart_attack
print(p_man_if_heart_attack)
over50_if_heart_attack=0
for i in range(len(data['target'])):
if data['target'][i] ==1:
if data['age'][i]>50:
over50_if_heart_attack+=1
print(over50_if_heart_attack)
p_over50_if_heart_attack=over50_if_heart_attack/len(data)
p_over50_if_heart_attack=p_over50_if_heart_attack/p_heart_attack
print(p_over50_if_heart_attack)
chol_over200_if_heart_attack=0
for i in range(len(data['target'])):
if data['target'][i] ==1:
if data['chol'][i]>200:
chol_over200_if_heart_attack+=1
print(chol_over200_if_heart_attack)
p_chol_over200_if_heart_attack=chol_over200_if_heart_attack/len(data)
p_chol_over200_if_heart_attack=p_chol_over200_if_heart_attack/p_heart_attack
print(p_chol_over200_if_heart_attack)
sugar_if_heart_attack=0
for i in range(len(data['target'])):
if data['target'][i] ==1:
if data['fbs'][i]==1:
sugar_if_heart_attack+=1
print(sugar_if_heart_attack)
p_sugar_if_heart_attack=sugar_if_heart_attack/len(data)
p_sugar_if_heart_attack=p_sugar_if_heart_attack/p_heart_attack
print(p_sugar_if_heart_attack)
licznik=p_man_if_heart_attack*p_sugar_if_heart_attack*p_over50_if_heart_attack*p_chol_over200_if_heart_attack*p_heart_attack
mianownik=(p_man_if_heart_attack*p_sugar_if_heart_attack*p_over50_if_heart_attack*p_chol_over200_if_heart_attack*p_heart_attack)+((1-p_man_if_heart_attack)*(1-p_sugar_if_heart_attack)*(1-p_over50_if_heart_attack)*(1-p_chol_over200_if_heart_attack)*(1-p_heart_attack))
print(licznik)
print(mianownik)
print(licznik/mianownik)