3Predict2HeartAttack__Training.xlsx
LogisticRegressionDataSet_Train
| Age | Marital_Status | Gender | Weight_Category | Cholesterol | Stress_Management | Trait_Anxiety | 2nd_Heart_Attack |
| 60 | 2 | 0 | 1 | 150 | 1 | 50 | Yes |
| 69 | 2 | 1 | 1 | 170 | 0 | 60 | Yes |
| 52 | 1 | 0 | 0 | 174 | 1 | 35 | No |
| 66 | 2 | 1 | 1 | 169 | 0 | 60 | Yes |
| 70 | 3 | 0 | 1 | 237 | 0 | 65 | Yes |
| 52 | 1 | 0 | 0 | 174 | 1 | 35 | No |
| 58 | 2 | 1 | 0 | 140 | 0 | 45 | No |
| 59 | 2 | 1 | 0 | 143 | 0 | 45 | Yes |
| 60 | 2 | 0 | 0 | 139 | 0 | 45 | No |
| 51 | 1 | 1 | 0 | 174 | 1 | 40 | No |
| 52 | 1 | 0 | 0 | 189 | 1 | 65 | No |
| 70 | 2 | 1 | 1 | 147 | 1 | 50 | Yes |
| 52 | 2 | 1 | 2 | 160 | 0 | 40 | Yes |
| 74 | 3 | 1 | 2 | 178 | 0 | 75 | Yes |
| 64 | 2 | 1 | 2 | 236 | 1 | 80 | Yes |
| 69 | 2 | 0 | 1 | 146 | 1 | 50 | Yes |
| 58 | 2 | 0 | 0 | 141 | 0 | 45 | No |
| 68 | 1 | 0 | 0 | 172 | 0 | 60 | No |
| 66 | 1 | 0 | 0 | 172 | 0 | 60 | No |
| 63 | 0 | 1 | 1 | 138 | 1 | 50 | No |
| 50 | 1 | 1 | 0 | 174 | 1 | 40 | No |
| 60 | 2 | 0 | 1 | 146 | 1 | 50 | Yes |
| 70 | 2 | 1 | 1 | 238 | 0 | 60 | Yes |
| 54 | 1 | 0 | 0 | 172 | 1 | 35 | No |
| 75 | 1 | 0 | 2 | 178 | 0 | 75 | Yes |
| 72 | 3 | 0 | 1 | 236 | 0 | 65 | Yes |
| 59 | 1 | 1 | 2 | 202 | 0 | 70 | Yes |
| 60 | 2 | 1 | 0 | 140 | 0 | 45 | No |
| 51 | 1 | 0 | 0 | 173 | 1 | 35 | No |
| 65 | 2 | 0 | 0 | 124 | 1 | 45 | No |
| 64 | 2 | 1 | 2 | 224 | 0 | 60 | Yes |
| 59 | 1 | 1 | 2 | 203 | 0 | 70 | Yes |
| 58 | 1 | 0 | 1 | 169 | 1 | 50 | No |
| 52 | 1 | 1 | 0 | 175 | 1 | 40 | No |
| 64 | 2 | 1 | 2 | 220 | 0 | 60 | Yes |
| 67 | 2 | 1 | 1 | 169 | 0 | 60 | Yes |
| 42 | 1 | 0 | 0 | 125 | 1 | 45 | No |
| 54 | 2 | 1 | 2 | 162 | 0 | 40 | Yes |
| 63 | 2 | 1 | 2 | 162 | 0 | 40 | Yes |
| 73 | 2 | 1 | 1 | 238 | 0 | 60 | Yes |
| 60 | 1 | 0 | 0 | 170 | 0 | 60 | No |
| 66 | 1 | 0 | 0 | 171 | 0 | 60 | No |
| 71 | 3 | 0 | 0 | 187 | 1 | 65 | No |
| 72 | 1 | 0 | 2 | 182 | 0 | 75 | Yes |
| 72 | 2 | 1 | 1 | 235 | 0 | 60 | Yes |
| 55 | 3 | 0 | 0 | 123 | 1 | 45 | No |
| 66 | 3 | 1 | 1 | 172 | 0 | 55 | No |
| 63 | 0 | 1 | 1 | 139 | 1 | 50 | No |
| 59 | 1 | 1 | 2 | 199 | 0 | 70 | Yes |
| 51 | 1 | 1 | 0 | 175 | 1 | 40 | No |
| 69 | 1 | 1 | 2 | 203 | 0 | 70 | Yes |
| 51 | 2 | 1 | 2 | 161 | 0 | 40 | Yes |
| 58 | 2 | 1 | 0 | 139 | 0 | 45 | No |
| 63 | 0 | 1 | 1 | 139 | 1 | 50 | No |
| 72 | 3 | 0 | 1 | 236 | 0 | 65 | Yes |
| 72 | 2 | 1 | 1 | 236 | 0 | 60 | Yes |
| 71 | 3 | 0 | 1 | 233 | 0 | 65 | Yes |
| 61 | 1 | 1 | 1 | 165 | 1 | 50 | No |
| 64 | 0 | 1 | 1 | 139 | 1 | 50 | No |
| 57 | 1 | 0 | 0 | 172 | 0 | 60 | No |
| 52 | 1 | 1 | 0 | 172 | 1 | 40 | No |
| 65 | 3 | 0 | 0 | 122 | 1 | 45 | No |
| 74 | 1 | 0 | 2 | 179 | 0 | 75 | No |
| 70 | 3 | 0 | 0 | 186 | 1 | 65 | No |
| 58 | 2 | 1 | 0 | 141 | 0 | 45 | No |
| 59 | 2 | 0 | 1 | 148 | 1 | 50 | Yes |
| 59 | 1 | 1 | 2 | 203 | 0 | 70 | Yes |
| 61 | 0 | 0 | 1 | 138 | 1 | 50 | No |
| 61 | 2 | 1 | 2 | 239 | 1 | 80 | Yes |
| 71 | 3 | 1 | 1 | 174 | 0 | 55 | Yes |
| 71 | 2 | 1 | 2 | 161 | 0 | 40 | Yes |
| 69 | 2 | 1 | 1 | 169 | 0 | 60 | Yes |
| 75 | 1 | 0 | 2 | 180 | 0 | 75 | Yes |
| 53 | 2 | 1 | 2 | 159 | 0 | 40 | Yes |
| 49 | 1 | 1 | 0 | 172 | 1 | 40 | No |
| 75 | 2 | 1 | 2 | 178 | 1 | 80 | Yes |
| 72 | 2 | 1 | 2 | 161 | 0 | 40 | Yes |
| 65 | 2 | 1 | 2 | 220 | 0 | 60 | Yes |
| 64 | 2 | 1 | 2 | 220 | 0 | 60 | Yes |
| 80 | 3 | 1 | 1 | 223 | 0 | 80 | Yes |
| 61 | 1 | 1 | 1 | 169 | 1 | 50 | No |
| 76 | 2 | 1 | 2 | 178 | 1 | 80 | Yes |
| 54 | 1 | 1 | 1 | 172 | 0 | 55 | No |
| 69 | 2 | 1 | 1 | 171 | 0 | 60 | Yes |
| 71 | 2 | 1 | 1 | 237 | 0 | 60 | Yes |
| 58 | 1 | 1 | 1 | 167 | 1 | 50 | No |
| 67 | 2 | 1 | 1 | 170 | 0 | 60 | Yes |
| 64 | 0 | 1 | 1 | 137 | 1 | 50 | No |
| 54 | 1 | 0 | 0 | 174 | 1 | 35 | No |
| 58 | 1 | 1 | 2 | 200 | 0 | 70 | Yes |
| 61 | 2 | 1 | 0 | 141 | 0 | 45 | No |
| 64 | 2 | 1 | 2 | 221 | 0 | 60 | Yes |
| 66 | 1 | 0 | 0 | 125 | 1 | 45 | No |
| 66 | 3 | 1 | 1 | 174 | 0 | 55 | No |
| 63 | 3 | 1 | 1 | 173 | 0 | 55 | No |
| 64 | 2 | 1 | 2 | 220 | 0 | 60 | Yes |
| 70 | 3 | 0 | 1 | 236 | 0 | 65 | Yes |
| 49 | 1 | 0 | 0 | 188 | 1 | 65 | No |
| 71 | 3 | 0 | 0 | 186 | 1 | 65 | No |
| 50 | 1 | 1 | 0 | 172 | 1 | 40 | No |
| 66 | 2 | 1 | 2 | 222 | 0 | 60 | Yes |
| 70 | 2 | 1 | 1 | 236 | 0 | 60 | Yes |
| 60 | 1 | 1 | 1 | 165 | 1 | 50 | No |
| 52 | 1 | 1 | 1 | 173 | 0 | 55 | No |
| 67 | 2 | 1 | 1 | 169 | 0 | 60 | Yes |
| 66 | 3 | 1 | 1 | 172 | 0 | 55 | No |
| 61 | 1 | 0 | 1 | 165 | 1 | 50 | No |
| 53 | 2 | 1 | 2 | 161 | 0 | 40 | Yes |
| 62 | 2 | 1 | 2 | 239 | 1 | 80 | Yes |
| 60 | 2 | 1 | 1 | 146 | 1 | 50 | Yes |
| 66 | 2 | 1 | 1 | 173 | 0 | 60 | Yes |
| 63 | 3 | 0 | 0 | 126 | 1 | 45 | No |
| 75 | 2 | 1 | 2 | 177 | 1 | 80 | Yes |
| 72 | 3 | 0 | 1 | 233 | 0 | 65 | No |
| 68 | 2 | 0 | 1 | 148 | 1 | 50 | Yes |
| 68 | 1 | 0 | 0 | 168 | 0 | 60 | No |
| 50 | 1 | 1 | 0 | 172 | 1 | 40 | No |
| 62 | 0 | 1 | 1 | 137 | 1 | 50 | No |
| 58 | 1 | 1 | 1 | 169 | 1 | 50 | No |
| 54 | 1 | 0 | 0 | 173 | 1 | 35 | No |
| 63 | 3 | 0 | 0 | 125 | 1 | 45 | No |
| 64 | 0 | 1 | 1 | 137 | 1 | 50 | No |
| 73 | 2 | 1 | 2 | 178 | 1 | 80 | Yes |
| 73 | 2 | 1 | 1 | 239 | 0 | 60 | Yes |
| 81 | 3 | 1 | 1 | 224 | 0 | 80 | Yes |
| 73 | 1 | 0 | 2 | 181 | 0 | 75 | Yes |
| 52 | 1 | 0 | 0 | 172 | 1 | 35 | No |
| 48 | 1 | 0 | 0 | 172 | 0 | 60 | No |
| 61 | 2 | 0 | 1 | 148 | 1 | 50 | Yes |
| 67 | 2 | 1 | 2 | 220 | 0 | 60 | Yes |
| 58 | 1 | 1 | 1 | 169 | 1 | 50 | No |
| 65 | 1 | 1 | 1 | 173 | 0 | 55 | No |
| 80 | 3 | 1 | 1 | 222 | 0 | 80 | Yes |
| 54 | 1 | 0 | 0 | 170 | 1 | 35 | No |
| 59 | 1 | 0 | 0 | 172 | 0 | 60 | No |
| 55 | 3 | 0 | 0 | 122 | 1 | 45 | No |
| 73 | 2 | 1 | 1 | 236 | 0 | 60 | Yes |
| 62 | 3 | 0 | 0 | 185 | 1 | 65 | No |