Assignment
Mariyam Saeed
2024-05-05
———–Load Data————
heart_attack<-read.csv("C:/Users/DELL/Desktop/heart.csv")
heart_attack## age sex cp trestbps chol fbs restecg thalach exang oldpeak slope ca thal
## 1 52 1 0 125 212 0 1 168 0 1.0 2 2 3
## 2 53 1 0 140 203 1 0 155 1 3.1 0 0 3
## 3 70 1 0 145 174 0 1 125 1 2.6 0 0 3
## 4 61 1 0 148 203 0 1 161 0 0.0 2 1 3
## 5 62 0 0 138 294 1 1 106 0 1.9 1 3 2
## 6 58 0 0 100 248 0 0 122 0 1.0 1 0 2
## 7 58 1 0 114 318 0 2 140 0 4.4 0 3 1
## 8 55 1 0 160 289 0 0 145 1 0.8 1 1 3
## 9 46 1 0 120 249 0 0 144 0 0.8 2 0 3
## 10 54 1 0 122 286 0 0 116 1 3.2 1 2 2
## 11 71 0 0 112 149 0 1 125 0 1.6 1 0 2
## 12 43 0 0 132 341 1 0 136 1 3.0 1 0 3
## 13 34 0 1 118 210 0 1 192 0 0.7 2 0 2
## 14 51 1 0 140 298 0 1 122 1 4.2 1 3 3
## 15 52 1 0 128 204 1 1 156 1 1.0 1 0 0
## 16 34 0 1 118 210 0 1 192 0 0.7 2 0 2
## 17 51 0 2 140 308 0 0 142 0 1.5 2 1 2
## 18 54 1 0 124 266 0 0 109 1 2.2 1 1 3
## 19 50 0 1 120 244 0 1 162 0 1.1 2 0 2
## 20 58 1 2 140 211 1 0 165 0 0.0 2 0 2
## 21 60 1 2 140 185 0 0 155 0 3.0 1 0 2
## 22 67 0 0 106 223 0 1 142 0 0.3 2 2 2
## 23 45 1 0 104 208 0 0 148 1 3.0 1 0 2
## 24 63 0 2 135 252 0 0 172 0 0.0 2 0 2
## 25 42 0 2 120 209 0 1 173 0 0.0 1 0 2
## 26 61 0 0 145 307 0 0 146 1 1.0 1 0 3
## 27 44 1 2 130 233 0 1 179 1 0.4 2 0 2
## 28 58 0 1 136 319 1 0 152 0 0.0 2 2 2
## 29 56 1 2 130 256 1 0 142 1 0.6 1 1 1
## 30 55 0 0 180 327 0 2 117 1 3.4 1 0 2
## 31 44 1 0 120 169 0 1 144 1 2.8 0 0 1
## 32 50 0 1 120 244 0 1 162 0 1.1 2 0 2
## 33 57 1 0 130 131 0 1 115 1 1.2 1 1 3
## 34 70 1 2 160 269 0 1 112 1 2.9 1 1 3
## 35 50 1 2 129 196 0 1 163 0 0.0 2 0 2
## 36 46 1 2 150 231 0 1 147 0 3.6 1 0 2
## 37 51 1 3 125 213 0 0 125 1 1.4 2 1 2
## 38 59 1 0 138 271 0 0 182 0 0.0 2 0 2
## 39 64 1 0 128 263 0 1 105 1 0.2 1 1 3
## 40 57 1 2 128 229 0 0 150 0 0.4 1 1 3
## 41 65 0 2 160 360 0 0 151 0 0.8 2 0 2
## 42 54 1 2 120 258 0 0 147 0 0.4 1 0 3
## 43 61 0 0 130 330 0 0 169 0 0.0 2 0 2
## 44 46 1 0 120 249 0 0 144 0 0.8 2 0 3
## 45 55 0 1 132 342 0 1 166 0 1.2 2 0 2
## 46 42 1 0 140 226 0 1 178 0 0.0 2 0 2
## 47 41 1 1 135 203 0 1 132 0 0.0 1 0 1
## 48 66 0 0 178 228 1 1 165 1 1.0 1 2 3
## 49 66 0 2 146 278 0 0 152 0 0.0 1 1 2
## 50 60 1 0 117 230 1 1 160 1 1.4 2 2 3
## 51 58 0 3 150 283 1 0 162 0 1.0 2 0 2
## 52 57 0 0 140 241 0 1 123 1 0.2 1 0 3
## 53 38 1 2 138 175 0 1 173 0 0.0 2 4 2
## 54 49 1 2 120 188 0 1 139 0 2.0 1 3 3
## 55 55 1 0 140 217 0 1 111 1 5.6 0 0 3
## 56 55 1 0 140 217 0 1 111 1 5.6 0 0 3
## 57 56 1 3 120 193 0 0 162 0 1.9 1 0 3
## 58 48 1 1 130 245 0 0 180 0 0.2 1 0 2
## 59 67 1 2 152 212 0 0 150 0 0.8 1 0 3
## 60 57 1 1 154 232 0 0 164 0 0.0 2 1 2
## 61 29 1 1 130 204 0 0 202 0 0.0 2 0 2
## 62 66 0 2 146 278 0 0 152 0 0.0 1 1 2
## 63 67 1 0 100 299 0 0 125 1 0.9 1 2 2
## 64 59 1 2 150 212 1 1 157 0 1.6 2 0 2
## 65 29 1 1 130 204 0 0 202 0 0.0 2 0 2
## 66 59 1 3 170 288 0 0 159 0 0.2 1 0 3
## 67 53 1 2 130 197 1 0 152 0 1.2 0 0 2
## 68 42 1 0 136 315 0 1 125 1 1.8 1 0 1
## 69 37 0 2 120 215 0 1 170 0 0.0 2 0 2
## 70 62 0 0 160 164 0 0 145 0 6.2 0 3 3
## 71 59 1 0 170 326 0 0 140 1 3.4 0 0 3
## 72 61 1 0 140 207 0 0 138 1 1.9 2 1 3
## 73 56 1 0 125 249 1 0 144 1 1.2 1 1 2
## 74 59 1 0 140 177 0 1 162 1 0.0 2 1 3
## 75 48 1 0 130 256 1 0 150 1 0.0 2 2 3
## 76 47 1 2 138 257 0 0 156 0 0.0 2 0 2
## 77 48 1 2 124 255 1 1 175 0 0.0 2 2 2
## 78 63 1 0 140 187 0 0 144 1 4.0 2 2 3
## 79 52 1 1 134 201 0 1 158 0 0.8 2 1 2
## 80 52 1 1 134 201 0 1 158 0 0.8 2 1 2
## 81 50 1 2 140 233 0 1 163 0 0.6 1 1 3
## 82 49 1 2 118 149 0 0 126 0 0.8 2 3 2
## 83 46 1 2 150 231 0 1 147 0 3.6 1 0 2
## 84 38 1 2 138 175 0 1 173 0 0.0 2 4 2
## 85 37 0 2 120 215 0 1 170 0 0.0 2 0 2
## 86 44 1 1 120 220 0 1 170 0 0.0 2 0 2
## 87 58 1 2 140 211 1 0 165 0 0.0 2 0 2
## 88 59 0 0 174 249 0 1 143 1 0.0 1 0 2
## 89 62 0 0 140 268 0 0 160 0 3.6 0 2 2
## 90 68 1 0 144 193 1 1 141 0 3.4 1 2 3
## 91 54 0 2 108 267 0 0 167 0 0.0 2 0 2
## 92 62 0 0 124 209 0 1 163 0 0.0 2 0 2
## 93 63 1 0 140 187 0 0 144 1 4.0 2 2 3
## 94 44 1 0 120 169 0 1 144 1 2.8 0 0 1
## 95 62 1 1 128 208 1 0 140 0 0.0 2 0 2
## 96 45 0 0 138 236 0 0 152 1 0.2 1 0 2
## 97 57 0 0 128 303 0 0 159 0 0.0 2 1 2
## 98 53 1 0 123 282 0 1 95 1 2.0 1 2 3
## 99 65 1 0 110 248 0 0 158 0 0.6 2 2 1
## 100 76 0 2 140 197 0 2 116 0 1.1 1 0 2
## 101 43 0 2 122 213 0 1 165 0 0.2 1 0 2
## 102 57 1 2 150 126 1 1 173 0 0.2 2 1 3
## 103 54 1 1 108 309 0 1 156 0 0.0 2 0 3
## 104 47 1 2 138 257 0 0 156 0 0.0 2 0 2
## 105 52 1 3 118 186 0 0 190 0 0.0 1 0 1
## 106 47 1 0 110 275 0 0 118 1 1.0 1 1 2
## 107 51 1 0 140 299 0 1 173 1 1.6 2 0 3
## 108 62 1 1 120 281 0 0 103 0 1.4 1 1 3
## 109 40 1 0 152 223 0 1 181 0 0.0 2 0 3
## 110 54 1 0 110 206 0 0 108 1 0.0 1 1 2
## 111 44 1 0 110 197 0 0 177 0 0.0 2 1 2
## 112 53 1 0 142 226 0 0 111 1 0.0 2 0 3
## 113 48 1 0 130 256 1 0 150 1 0.0 2 2 3
## 114 57 1 0 110 335 0 1 143 1 3.0 1 1 3
## 115 59 1 2 126 218 1 1 134 0 2.2 1 1 1
## 116 61 0 0 145 307 0 0 146 1 1.0 1 0 3
## 117 63 1 0 130 254 0 0 147 0 1.4 1 1 3
## 118 43 1 0 120 177 0 0 120 1 2.5 1 0 3
## 119 29 1 1 130 204 0 0 202 0 0.0 2 0 2
## 120 42 1 1 120 295 0 1 162 0 0.0 2 0 2
## 121 54 1 1 108 309 0 1 156 0 0.0 2 0 3
## 122 44 1 0 120 169 0 1 144 1 2.8 0 0 1
## 123 60 1 0 145 282 0 0 142 1 2.8 1 2 3
## 124 65 0 2 140 417 1 0 157 0 0.8 2 1 2
## 125 61 1 0 120 260 0 1 140 1 3.6 1 1 3
## 126 60 0 3 150 240 0 1 171 0 0.9 2 0 2
## 127 66 1 0 120 302 0 0 151 0 0.4 1 0 2
## 128 53 1 2 130 197 1 0 152 0 1.2 0 0 2
## 129 52 1 2 138 223 0 1 169 0 0.0 2 4 2
## 130 57 1 0 140 192 0 1 148 0 0.4 1 0 1
## 131 60 0 3 150 240 0 1 171 0 0.9 2 0 2
## 132 51 0 2 130 256 0 0 149 0 0.5 2 0 2
## 133 41 1 1 135 203 0 1 132 0 0.0 1 0 1
## 134 50 1 2 129 196 0 1 163 0 0.0 2 0 2
## 135 54 1 1 108 309 0 1 156 0 0.0 2 0 3
## 136 58 0 0 170 225 1 0 146 1 2.8 1 2 1
## 137 55 0 1 132 342 0 1 166 0 1.2 2 0 2
## 138 64 0 0 180 325 0 1 154 1 0.0 2 0 2
## 139 47 1 2 138 257 0 0 156 0 0.0 2 0 2
## 140 41 1 1 110 235 0 1 153 0 0.0 2 0 2
## 141 57 1 0 152 274 0 1 88 1 1.2 1 1 3
## 142 63 0 0 124 197 0 1 136 1 0.0 1 0 2
## 143 61 1 3 134 234 0 1 145 0 2.6 1 2 2
## 144 34 1 3 118 182 0 0 174 0 0.0 2 0 2
## 145 47 1 0 112 204 0 1 143 0 0.1 2 0 2
## 146 40 1 0 110 167 0 0 114 1 2.0 1 0 3
## 147 51 0 2 120 295 0 0 157 0 0.6 2 0 2
## 148 41 1 0 110 172 0 0 158 0 0.0 2 0 3
## 149 52 1 3 152 298 1 1 178 0 1.2 1 0 3
## 150 39 1 2 140 321 0 0 182 0 0.0 2 0 2
## 151 58 1 0 114 318 0 2 140 0 4.4 0 3 1
## 152 54 1 1 192 283 0 0 195 0 0.0 2 1 3
## 153 58 1 0 125 300 0 0 171 0 0.0 2 2 3
## 154 54 1 2 120 258 0 0 147 0 0.4 1 0 3
## 155 63 1 0 130 330 1 0 132 1 1.8 2 3 3
## 156 54 1 1 108 309 0 1 156 0 0.0 2 0 3
## 157 40 1 3 140 199 0 1 178 1 1.4 2 0 3
## 158 54 1 2 120 258 0 0 147 0 0.4 1 0 3
## 159 67 0 2 115 564 0 0 160 0 1.6 1 0 3
## 160 41 1 1 120 157 0 1 182 0 0.0 2 0 2
## 161 77 1 0 125 304 0 0 162 1 0.0 2 3 2
## 162 51 1 2 100 222 0 1 143 1 1.2 1 0 2
## 163 77 1 0 125 304 0 0 162 1 0.0 2 3 2
## 164 48 1 0 124 274 0 0 166 0 0.5 1 0 3
## 165 56 1 0 125 249 1 0 144 1 1.2 1 1 2
## 166 59 1 0 170 326 0 0 140 1 3.4 0 0 3
## 167 56 1 0 132 184 0 0 105 1 2.1 1 1 1
## 168 57 0 0 120 354 0 1 163 1 0.6 2 0 2
## 169 43 1 2 130 315 0 1 162 0 1.9 2 1 2
## 170 45 0 1 112 160 0 1 138 0 0.0 1 0 2
## 171 43 1 0 150 247 0 1 171 0 1.5 2 0 2
## 172 56 1 0 130 283 1 0 103 1 1.6 0 0 3
## 173 56 1 1 120 240 0 1 169 0 0.0 0 0 2
## 174 39 0 2 94 199 0 1 179 0 0.0 2 0 2
## 175 54 1 0 110 239 0 1 126 1 2.8 1 1 3
## 176 56 0 0 200 288 1 0 133 1 4.0 0 2 3
## 177 56 1 0 130 283 1 0 103 1 1.6 0 0 3
## 178 64 1 0 120 246 0 0 96 1 2.2 0 1 2
## 179 44 1 0 110 197 0 0 177 0 0.0 2 1 2
## 180 56 0 0 134 409 0 0 150 1 1.9 1 2 3
## 181 63 1 0 140 187 0 0 144 1 4.0 2 2 3
## 182 64 1 3 110 211 0 0 144 1 1.8 1 0 2
## 183 60 1 0 140 293 0 0 170 0 1.2 1 2 3
## 184 42 1 2 130 180 0 1 150 0 0.0 2 0 2
## 185 45 1 1 128 308 0 0 170 0 0.0 2 0 2
## 186 57 1 0 165 289 1 0 124 0 1.0 1 3 3
## 187 40 1 0 110 167 0 0 114 1 2.0 1 0 3
## 188 56 1 0 125 249 1 0 144 1 1.2 1 1 2
## 189 63 1 0 130 254 0 0 147 0 1.4 1 1 3
## 190 64 1 2 125 309 0 1 131 1 1.8 1 0 3
## 191 41 1 2 112 250 0 1 179 0 0.0 2 0 2
## 192 56 1 1 130 221 0 0 163 0 0.0 2 0 3
## 193 67 0 2 115 564 0 0 160 0 1.6 1 0 3
## 194 69 1 3 160 234 1 0 131 0 0.1 1 1 2
## 195 67 1 0 160 286 0 0 108 1 1.5 1 3 2
## 196 59 1 2 150 212 1 1 157 0 1.6 2 0 2
## 197 58 1 0 100 234 0 1 156 0 0.1 2 1 3
## 198 45 1 0 115 260 0 0 185 0 0.0 2 0 2
## 199 60 0 2 102 318 0 1 160 0 0.0 2 1 2
## 200 50 1 0 144 200 0 0 126 1 0.9 1 0 3
## 201 62 0 0 124 209 0 1 163 0 0.0 2 0 2
## 202 34 1 3 118 182 0 0 174 0 0.0 2 0 2
## 203 52 1 3 152 298 1 1 178 0 1.2 1 0 3
## 204 64 1 3 170 227 0 0 155 0 0.6 1 0 3
## 205 66 0 2 146 278 0 0 152 0 0.0 1 1 2
## 206 42 1 3 148 244 0 0 178 0 0.8 2 2 2
## 207 59 1 2 126 218 1 1 134 0 2.2 1 1 1
## 208 41 1 2 112 250 0 1 179 0 0.0 2 0 2
## 209 38 1 2 138 175 0 1 173 0 0.0 2 4 2
## 210 62 1 1 120 281 0 0 103 0 1.4 1 1 3
## 211 42 1 2 120 240 1 1 194 0 0.8 0 0 3
## 212 67 1 0 100 299 0 0 125 1 0.9 1 2 2
## 213 50 1 0 150 243 0 0 128 0 2.6 1 0 3
## 214 43 1 2 130 315 0 1 162 0 1.9 2 1 2
## 215 45 1 1 128 308 0 0 170 0 0.0 2 0 2
## 216 49 1 1 130 266 0 1 171 0 0.6 2 0 2
## 217 65 1 0 135 254 0 0 127 0 2.8 1 1 3
## 218 41 1 1 120 157 0 1 182 0 0.0 2 0 2
## 219 46 1 0 140 311 0 1 120 1 1.8 1 2 3
## 220 54 1 0 122 286 0 0 116 1 3.2 1 2 2
## 221 57 0 1 130 236 0 0 174 0 0.0 1 1 2
## 222 63 1 0 130 254 0 0 147 0 1.4 1 1 3
## 223 64 1 3 110 211 0 0 144 1 1.8 1 0 2
## 224 39 0 2 94 199 0 1 179 0 0.0 2 0 2
## 225 51 1 0 140 261 0 0 186 1 0.0 2 0 2
## 226 54 1 2 150 232 0 0 165 0 1.6 2 0 3
## 227 49 1 2 118 149 0 0 126 0 0.8 2 3 2
## 228 44 0 2 118 242 0 1 149 0 0.3 1 1 2
## 229 52 1 1 128 205 1 1 184 0 0.0 2 0 2
## 230 66 0 0 178 228 1 1 165 1 1.0 1 2 3
## 231 58 1 0 125 300 0 0 171 0 0.0 2 2 3
## 232 56 1 1 120 236 0 1 178 0 0.8 2 0 2
## 233 60 1 0 125 258 0 0 141 1 2.8 1 1 3
## 234 41 0 1 126 306 0 1 163 0 0.0 2 0 2
## 235 49 0 0 130 269 0 1 163 0 0.0 2 0 2
## 236 64 1 3 170 227 0 0 155 0 0.6 1 0 3
## 237 49 1 2 118 149 0 0 126 0 0.8 2 3 2
## 238 57 1 1 124 261 0 1 141 0 0.3 2 0 3
## 239 60 1 0 117 230 1 1 160 1 1.4 2 2 3
## 240 62 0 0 150 244 0 1 154 1 1.4 1 0 2
## 241 54 0 1 132 288 1 0 159 1 0.0 2 1 2
## 242 67 1 2 152 212 0 0 150 0 0.8 1 0 3
## 243 38 1 2 138 175 0 1 173 0 0.0 2 4 2
## 244 60 1 2 140 185 0 0 155 0 3.0 1 0 2
## 245 51 1 2 125 245 1 0 166 0 2.4 1 0 2
## 246 44 1 1 130 219 0 0 188 0 0.0 2 0 2
## 247 54 1 1 192 283 0 0 195 0 0.0 2 1 3
## 248 46 1 0 140 311 0 1 120 1 1.8 1 2 3
## 249 39 0 2 138 220 0 1 152 0 0.0 1 0 2
## 250 42 1 2 130 180 0 1 150 0 0.0 2 0 2
## 251 47 1 0 110 275 0 0 118 1 1.0 1 1 2
## 252 45 0 1 112 160 0 1 138 0 0.0 1 0 2
## 253 55 1 0 132 353 0 1 132 1 1.2 1 1 3
## 254 57 1 0 165 289 1 0 124 0 1.0 1 3 3
## 255 35 1 0 120 198 0 1 130 1 1.6 1 0 3
## 256 62 0 0 140 394 0 0 157 0 1.2 1 0 2
## 257 35 0 0 138 183 0 1 182 0 1.4 2 0 2
## 258 64 0 0 180 325 0 1 154 1 0.0 2 0 2
## 259 38 1 3 120 231 0 1 182 1 3.8 1 0 3
## 260 66 1 0 120 302 0 0 151 0 0.4 1 0 2
## 261 44 1 2 120 226 0 1 169 0 0.0 2 0 2
## 262 54 1 2 150 232 0 0 165 0 1.6 2 0 3
## 263 48 1 0 122 222 0 0 186 0 0.0 2 0 2
## 264 55 0 1 132 342 0 1 166 0 1.2 2 0 2
## 265 58 0 0 170 225 1 0 146 1 2.8 1 2 1
## 266 45 1 0 104 208 0 0 148 1 3.0 1 0 2
## 267 53 1 0 123 282 0 1 95 1 2.0 1 2 3
## 268 67 1 0 120 237 0 1 71 0 1.0 1 0 2
## 269 58 1 2 132 224 0 0 173 0 3.2 2 2 3
## 270 71 0 2 110 265 1 0 130 0 0.0 2 1 2
## 271 43 1 0 110 211 0 1 161 0 0.0 2 0 3
## 272 44 1 1 120 263 0 1 173 0 0.0 2 0 3
## 273 39 0 2 138 220 0 1 152 0 0.0 1 0 2
## 274 54 1 0 110 206 0 0 108 1 0.0 1 1 2
## 275 66 1 0 160 228 0 0 138 0 2.3 2 0 1
## 276 56 1 0 130 283 1 0 103 1 1.6 0 0 3
## 277 57 1 0 132 207 0 1 168 1 0.0 2 0 3
## 278 44 1 1 130 219 0 0 188 0 0.0 2 0 2
## 279 55 1 0 160 289 0 0 145 1 0.8 1 1 3
## 280 41 0 1 105 198 0 1 168 0 0.0 2 1 2
## 281 45 0 1 130 234 0 0 175 0 0.6 1 0 2
## 282 35 1 1 122 192 0 1 174 0 0.0 2 0 2
## 283 41 0 1 130 204 0 0 172 0 1.4 2 0 2
## 284 64 1 3 110 211 0 0 144 1 1.8 1 0 2
## 285 58 1 2 132 224 0 0 173 0 3.2 2 2 3
## 286 71 0 2 110 265 1 0 130 0 0.0 2 1 2
## 287 64 0 2 140 313 0 1 133 0 0.2 2 0 3
## 288 71 0 1 160 302 0 1 162 0 0.4 2 2 2
## 289 58 0 2 120 340 0 1 172 0 0.0 2 0 2
## 290 40 1 0 152 223 0 1 181 0 0.0 2 0 3
## 291 52 1 2 138 223 0 1 169 0 0.0 2 4 2
## 292 58 1 0 128 259 0 0 130 1 3.0 1 2 3
## 293 61 1 2 150 243 1 1 137 1 1.0 1 0 2
## 294 59 1 2 150 212 1 1 157 0 1.6 2 0 2
## 295 56 0 0 200 288 1 0 133 1 4.0 0 2 3
## 296 67 1 0 100 299 0 0 125 1 0.9 1 2 2
## 297 67 1 0 120 237 0 1 71 0 1.0 1 0 2
## 298 58 1 0 150 270 0 0 111 1 0.8 2 0 3
## 299 35 1 1 122 192 0 1 174 0 0.0 2 0 2
## 300 52 1 1 120 325 0 1 172 0 0.2 2 0 2
## 301 46 0 1 105 204 0 1 172 0 0.0 2 0 2
## 302 51 1 2 94 227 0 1 154 1 0.0 2 1 3
## 303 55 0 1 132 342 0 1 166 0 1.2 2 0 2
## 304 60 1 0 145 282 0 0 142 1 2.8 1 2 3
## 305 52 0 2 136 196 0 0 169 0 0.1 1 0 2
## 306 62 1 0 120 267 0 1 99 1 1.8 1 2 3
## 307 44 0 2 118 242 0 1 149 0 0.3 1 1 2
## 308 44 1 1 120 220 0 1 170 0 0.0 2 0 2
## 309 59 1 2 126 218 1 1 134 0 2.2 1 1 1
## 310 56 0 1 140 294 0 0 153 0 1.3 1 0 2
## 311 61 1 0 120 260 0 1 140 1 3.6 1 1 3
## 312 48 1 0 130 256 1 0 150 1 0.0 2 2 3
## 313 70 1 2 160 269 0 1 112 1 2.9 1 1 3
## 314 74 0 1 120 269 0 0 121 1 0.2 2 1 2
## 315 40 1 3 140 199 0 1 178 1 1.4 2 0 3
## 316 42 1 3 148 244 0 0 178 0 0.8 2 2 2
## 317 64 0 2 140 313 0 1 133 0 0.2 2 0 3
## 318 63 0 2 135 252 0 0 172 0 0.0 2 0 2
## 319 59 1 0 140 177 0 1 162 1 0.0 2 1 3
## 320 53 0 2 128 216 0 0 115 0 0.0 2 0 0
## 321 53 0 0 130 264 0 0 143 0 0.4 1 0 2
## 322 48 0 2 130 275 0 1 139 0 0.2 2 0 2
## 323 45 1 0 142 309 0 0 147 1 0.0 1 3 3
## 324 66 1 1 160 246 0 1 120 1 0.0 1 3 1
## 325 48 1 1 130 245 0 0 180 0 0.2 1 0 2
## 326 56 0 1 140 294 0 0 153 0 1.3 1 0 2
## 327 54 1 1 192 283 0 0 195 0 0.0 2 1 3
## 328 57 1 0 150 276 0 0 112 1 0.6 1 1 1
## 329 70 1 0 130 322 0 0 109 0 2.4 1 3 2
## 330 53 0 2 128 216 0 0 115 0 0.0 2 0 0
## 331 37 0 2 120 215 0 1 170 0 0.0 2 0 2
## 332 63 0 0 108 269 0 1 169 1 1.8 1 2 2
## 333 37 1 2 130 250 0 1 187 0 3.5 0 0 2
## 334 54 0 2 110 214 0 1 158 0 1.6 1 0 2
## 335 60 1 0 130 206 0 0 132 1 2.4 1 2 3
## 336 58 1 0 150 270 0 0 111 1 0.8 2 0 3
## 337 57 1 2 150 126 1 1 173 0 0.2 2 1 3
## 338 54 1 2 125 273 0 0 152 0 0.5 0 1 2
## 339 56 1 2 130 256 1 0 142 1 0.6 1 1 1
## 340 60 1 0 130 253 0 1 144 1 1.4 2 1 3
## 341 38 1 2 138 175 0 1 173 0 0.0 2 4 2
## 342 44 1 2 120 226 0 1 169 0 0.0 2 0 2
## 343 65 0 2 155 269 0 1 148 0 0.8 2 0 2
## 344 52 1 2 172 199 1 1 162 0 0.5 2 0 3
## 345 41 1 1 120 157 0 1 182 0 0.0 2 0 2
## 346 66 1 1 160 246 0 1 120 1 0.0 1 3 1
## 347 50 1 0 150 243 0 0 128 0 2.6 1 0 3
## 348 54 0 2 108 267 0 0 167 0 0.0 2 0 2
## 349 43 1 0 132 247 1 0 143 1 0.1 1 4 3
## 350 62 0 2 130 263 0 1 97 0 1.2 1 1 3
## 351 66 1 0 120 302 0 0 151 0 0.4 1 0 2
## 352 50 1 0 144 200 0 0 126 1 0.9 1 0 3
## 353 57 1 0 110 335 0 1 143 1 3.0 1 1 3
## 354 57 1 0 110 201 0 1 126 1 1.5 1 0 1
## 355 57 1 1 124 261 0 1 141 0 0.3 2 0 3
## 356 46 0 0 138 243 0 0 152 1 0.0 1 0 2
## 357 59 1 0 164 176 1 0 90 0 1.0 1 2 1
## 358 67 1 0 160 286 0 0 108 1 1.5 1 3 2
## 359 59 1 3 134 204 0 1 162 0 0.8 2 2 2
## 360 53 0 2 128 216 0 0 115 0 0.0 2 0 0
## 361 48 1 0 122 222 0 0 186 0 0.0 2 0 2
## 362 62 1 2 130 231 0 1 146 0 1.8 1 3 3
## 363 43 0 2 122 213 0 1 165 0 0.2 1 0 2
## 364 53 1 2 130 246 1 0 173 0 0.0 2 3 2
## 365 57 0 1 130 236 0 0 174 0 0.0 1 1 2
## 366 53 1 2 130 246 1 0 173 0 0.0 2 3 2
## 367 58 1 2 112 230 0 0 165 0 2.5 1 1 3
## 368 48 1 1 110 229 0 1 168 0 1.0 0 0 3
## 369 58 1 2 105 240 0 0 154 1 0.6 1 0 3
## 370 51 1 2 110 175 0 1 123 0 0.6 2 0 2
## 371 43 0 0 132 341 1 0 136 1 3.0 1 0 3
## 372 55 1 0 132 353 0 1 132 1 1.2 1 1 3
## 373 54 0 2 110 214 0 1 158 0 1.6 1 0 2
## 374 58 1 1 120 284 0 0 160 0 1.8 1 0 2
## 375 46 0 2 142 177 0 0 160 1 1.4 0 0 2
## 376 66 1 0 160 228 0 0 138 0 2.3 2 0 1
## 377 59 1 1 140 221 0 1 164 1 0.0 2 0 2
## 378 64 0 0 130 303 0 1 122 0 2.0 1 2 2
## 379 67 1 0 120 237 0 1 71 0 1.0 1 0 2
## 380 52 1 3 118 186 0 0 190 0 0.0 1 0 1
## 381 58 1 0 146 218 0 1 105 0 2.0 1 1 3
## 382 58 1 2 132 224 0 0 173 0 3.2 2 2 3
## 383 59 1 0 110 239 0 0 142 1 1.2 1 1 3
## 384 58 1 0 150 270 0 0 111 1 0.8 2 0 3
## 385 35 1 0 126 282 0 0 156 1 0.0 2 0 3
## 386 51 1 2 110 175 0 1 123 0 0.6 2 0 2
## 387 42 0 2 120 209 0 1 173 0 0.0 1 0 2
## 388 77 1 0 125 304 0 0 162 1 0.0 2 3 2
## 389 64 1 0 120 246 0 0 96 1 2.2 0 1 2
## 390 63 1 3 145 233 1 0 150 0 2.3 0 0 1
## 391 58 0 1 136 319 1 0 152 0 0.0 2 2 2
## 392 45 1 3 110 264 0 1 132 0 1.2 1 0 3
## 393 51 1 2 110 175 0 1 123 0 0.6 2 0 2
## 394 62 0 0 160 164 0 0 145 0 6.2 0 3 3
## 395 63 1 0 130 330 1 0 132 1 1.8 2 3 3
## 396 66 0 2 146 278 0 0 152 0 0.0 1 1 2
## 397 68 1 2 180 274 1 0 150 1 1.6 1 0 3
## 398 40 1 0 110 167 0 0 114 1 2.0 1 0 3
## 399 66 1 0 160 228 0 0 138 0 2.3 2 0 1
## 400 63 1 3 145 233 1 0 150 0 2.3 0 0 1
## 401 49 1 2 120 188 0 1 139 0 2.0 1 3 3
## 402 71 0 0 112 149 0 1 125 0 1.6 1 0 2
## 403 70 1 1 156 245 0 0 143 0 0.0 2 0 2
## 404 46 0 1 105 204 0 1 172 0 0.0 2 0 2
## 405 61 1 0 140 207 0 0 138 1 1.9 2 1 3
## 406 56 1 2 130 256 1 0 142 1 0.6 1 1 1
## 407 58 1 2 140 211 1 0 165 0 0.0 2 0 2
## 408 58 1 0 100 234 0 1 156 0 0.1 2 1 3
## 409 46 0 0 138 243 0 0 152 1 0.0 1 0 2
## 410 46 1 2 150 231 0 1 147 0 3.6 1 0 2
## 411 41 0 1 105 198 0 1 168 0 0.0 2 1 2
## 412 56 1 0 125 249 1 0 144 1 1.2 1 1 2
## 413 57 1 0 150 276 0 0 112 1 0.6 1 1 1
## 414 70 1 0 130 322 0 0 109 0 2.4 1 3 2
## 415 59 1 3 170 288 0 0 159 0 0.2 1 0 3
## 416 41 0 1 130 204 0 0 172 0 1.4 2 0 2
## 417 54 1 2 125 273 0 0 152 0 0.5 0 1 2
## 418 52 1 2 138 223 0 1 169 0 0.0 2 4 2
## 419 62 0 0 124 209 0 1 163 0 0.0 2 0 2
## 420 65 0 2 160 360 0 0 151 0 0.8 2 0 2
## 421 57 0 0 128 303 0 0 159 0 0.0 2 1 2
## 422 42 0 0 102 265 0 0 122 0 0.6 1 0 2
## 423 57 0 0 120 354 0 1 163 1 0.6 2 0 2
## 424 58 0 1 136 319 1 0 152 0 0.0 2 2 2
## 425 45 1 0 142 309 0 0 147 1 0.0 1 3 3
## 426 51 0 0 130 305 0 1 142 1 1.2 1 0 3
## 427 54 0 2 160 201 0 1 163 0 0.0 2 1 2
## 428 57 1 2 150 168 0 1 174 0 1.6 2 0 2
## 429 43 1 0 132 247 1 0 143 1 0.1 1 4 3
## 430 47 1 2 108 243 0 1 152 0 0.0 2 0 2
## 431 67 1 2 152 212 0 0 150 0 0.8 1 0 3
## 432 65 0 0 150 225 0 0 114 0 1.0 1 3 3
## 433 60 0 2 102 318 0 1 160 0 0.0 2 1 2
## 434 37 1 2 130 250 0 1 187 0 3.5 0 0 2
## 435 41 0 2 112 268 0 0 172 1 0.0 2 0 2
## 436 57 0 0 120 354 0 1 163 1 0.6 2 0 2
## 437 59 0 0 174 249 0 1 143 1 0.0 1 0 2
## 438 67 1 0 120 229 0 0 129 1 2.6 1 2 3
## 439 47 1 2 130 253 0 1 179 0 0.0 2 0 2
## 440 58 1 1 120 284 0 0 160 0 1.8 1 0 2
## 441 62 0 0 150 244 0 1 154 1 1.4 1 0 2
## 442 60 1 0 140 293 0 0 170 0 1.2 1 2 3
## 443 57 1 0 152 274 0 1 88 1 1.2 1 1 3
## 444 57 1 2 150 168 0 1 174 0 1.6 2 0 2
## 445 47 1 2 130 253 0 1 179 0 0.0 2 0 2
## 446 52 1 1 128 205 1 1 184 0 0.0 2 0 2
## 447 53 1 2 130 246 1 0 173 0 0.0 2 3 2
## 448 55 1 0 160 289 0 0 145 1 0.8 1 1 3
## 449 51 0 2 120 295 0 0 157 0 0.6 2 0 2
## 450 52 1 0 112 230 0 1 160 0 0.0 2 1 2
## 451 63 0 0 150 407 0 0 154 0 4.0 1 3 3
## 452 49 0 1 134 271 0 1 162 0 0.0 1 0 2
## 453 66 0 0 178 228 1 1 165 1 1.0 1 2 3
## 454 49 0 1 134 271 0 1 162 0 0.0 1 0 2
## 455 65 0 0 150 225 0 0 114 0 1.0 1 3 3
## 456 69 1 3 160 234 1 0 131 0 0.1 1 1 2
## 457 47 1 2 108 243 0 1 152 0 0.0 2 0 2
## 458 39 0 2 138 220 0 1 152 0 0.0 1 0 2
## 459 43 1 0 150 247 0 1 171 0 1.5 2 0 2
## 460 51 1 0 140 261 0 0 186 1 0.0 2 0 2
## 461 69 1 2 140 254 0 0 146 0 2.0 1 3 3
## 462 48 1 2 124 255 1 1 175 0 0.0 2 2 2
## 463 52 1 3 118 186 0 0 190 0 0.0 1 0 1
## 464 43 1 0 110 211 0 1 161 0 0.0 2 0 3
## 465 67 0 2 115 564 0 0 160 0 1.6 1 0 3
## 466 38 1 2 138 175 0 1 173 0 0.0 2 4 2
## 467 44 1 1 130 219 0 0 188 0 0.0 2 0 2
## 468 47 1 0 110 275 0 0 118 1 1.0 1 1 2
## 469 61 1 2 150 243 1 1 137 1 1.0 1 0 2
## 470 67 1 0 160 286 0 0 108 1 1.5 1 3 2
## 471 60 0 3 150 240 0 1 171 0 0.9 2 0 2
## 472 64 0 2 140 313 0 1 133 0 0.2 2 0 3
## 473 58 0 0 130 197 0 1 131 0 0.6 1 0 2
## 474 41 1 2 130 214 0 0 168 0 2.0 1 0 2
## 475 48 1 1 110 229 0 1 168 0 1.0 0 0 3
## 476 57 1 2 150 126 1 1 173 0 0.2 2 1 3
## 477 57 1 0 165 289 1 0 124 0 1.0 1 3 3
## 478 57 1 2 128 229 0 0 150 0 0.4 1 1 3
## 479 39 1 2 140 321 0 0 182 0 0.0 2 0 2
## 480 58 1 0 128 216 0 0 131 1 2.2 1 3 3
## 481 51 0 0 130 305 0 1 142 1 1.2 1 0 3
## 482 63 0 0 150 407 0 0 154 0 4.0 1 3 3
## 483 51 1 0 140 298 0 1 122 1 4.2 1 3 3
## 484 35 1 1 122 192 0 1 174 0 0.0 2 0 2
## 485 65 1 0 110 248 0 0 158 0 0.6 2 2 1
## 486 62 1 1 120 281 0 0 103 0 1.4 1 1 3
## 487 41 1 0 110 172 0 0 158 0 0.0 2 0 3
## 488 65 1 0 135 254 0 0 127 0 2.8 1 1 3
## 489 54 0 1 132 288 1 0 159 1 0.0 2 1 2
## 490 61 1 2 150 243 1 1 137 1 1.0 1 0 2
## 491 57 0 0 128 303 0 0 159 0 0.0 2 1 2
## 492 57 1 2 150 168 0 1 174 0 1.6 2 0 2
## 493 64 1 2 125 309 0 1 131 1 1.8 1 0 3
## 494 55 1 0 132 353 0 1 132 1 1.2 1 1 3
## 495 51 1 2 125 245 1 0 166 0 2.4 1 0 2
## 496 59 1 0 135 234 0 1 161 0 0.5 1 0 3
## 497 68 1 2 180 274 1 0 150 1 1.6 1 0 3
## 498 57 1 1 154 232 0 0 164 0 0.0 2 1 2
## 499 54 1 0 140 239 0 1 160 0 1.2 2 0 2
## 500 46 0 2 142 177 0 0 160 1 1.4 0 0 2
## 501 71 0 0 112 149 0 1 125 0 1.6 1 0 2
## 502 35 0 0 138 183 0 1 182 0 1.4 2 0 2
## 503 46 0 2 142 177 0 0 160 1 1.4 0 0 2
## 504 45 0 1 130 234 0 0 175 0 0.6 1 0 2
## 505 47 1 2 108 243 0 1 152 0 0.0 2 0 2
## 506 44 0 2 118 242 0 1 149 0 0.3 1 1 2
## 507 61 1 0 120 260 0 1 140 1 3.6 1 1 3
## 508 41 0 1 130 204 0 0 172 0 1.4 2 0 2
## 509 56 0 0 200 288 1 0 133 1 4.0 0 2 3
## 510 55 0 0 180 327 0 2 117 1 3.4 1 0 2
## 511 54 0 1 132 288 1 0 159 1 0.0 2 1 2
## 512 43 1 0 120 177 0 0 120 1 2.5 1 0 3
## 513 44 1 0 112 290 0 0 153 0 0.0 2 1 2
## 514 54 1 0 110 206 0 0 108 1 0.0 1 1 2
## 515 44 1 1 120 220 0 1 170 0 0.0 2 0 2
## 516 49 1 2 120 188 0 1 139 0 2.0 1 3 3
## 517 60 1 0 130 206 0 0 132 1 2.4 1 2 3
## 518 41 0 1 105 198 0 1 168 0 0.0 2 1 2
## 519 49 1 2 120 188 0 1 139 0 2.0 1 3 3
## 520 61 1 0 148 203 0 1 161 0 0.0 2 1 3
## 521 59 1 0 140 177 0 1 162 1 0.0 2 1 3
## 522 58 1 1 125 220 0 1 144 0 0.4 1 4 3
## 523 67 0 2 152 277 0 1 172 0 0.0 2 1 2
## 524 61 1 0 148 203 0 1 161 0 0.0 2 1 3
## 525 58 1 2 112 230 0 0 165 0 2.5 1 1 3
## 526 51 0 2 130 256 0 0 149 0 0.5 2 0 2
## 527 62 0 0 160 164 0 0 145 0 6.2 0 3 3
## 528 62 0 0 124 209 0 1 163 0 0.0 2 0 2
## 529 59 1 3 178 270 0 0 145 0 4.2 0 0 3
## 530 69 1 3 160 234 1 0 131 0 0.1 1 1 2
## 531 60 0 0 150 258 0 0 157 0 2.6 1 2 3
## 532 65 0 2 155 269 0 1 148 0 0.8 2 0 2
## 533 63 0 0 124 197 0 1 136 1 0.0 1 0 2
## 534 53 0 0 138 234 0 0 160 0 0.0 2 0 2
## 535 54 0 2 108 267 0 0 167 0 0.0 2 0 2
## 536 76 0 2 140 197 0 2 116 0 1.1 1 0 2
## 537 50 0 2 120 219 0 1 158 0 1.6 1 0 2
## 538 52 1 1 120 325 0 1 172 0 0.2 2 0 2
## 539 46 1 0 120 249 0 0 144 0 0.8 2 0 3
## 540 64 1 3 170 227 0 0 155 0 0.6 1 0 3
## 541 58 1 0 128 259 0 0 130 1 3.0 1 2 3
## 542 44 1 2 140 235 0 0 180 0 0.0 2 0 2
## 543 62 0 0 140 394 0 0 157 0 1.2 1 0 2
## 544 59 1 3 134 204 0 1 162 0 0.8 2 2 2
## 545 54 1 2 125 273 0 0 152 0 0.5 0 1 2
## 546 48 1 1 110 229 0 1 168 0 1.0 0 0 3
## 547 70 1 0 130 322 0 0 109 0 2.4 1 3 2
## 548 67 0 0 106 223 0 1 142 0 0.3 2 2 2
## 549 51 0 2 120 295 0 0 157 0 0.6 2 0 2
## 550 68 1 2 118 277 0 1 151 0 1.0 2 1 3
## 551 69 1 2 140 254 0 0 146 0 2.0 1 3 3
## 552 54 1 0 122 286 0 0 116 1 3.2 1 2 2
## 553 43 0 0 132 341 1 0 136 1 3.0 1 0 3
## 554 53 1 2 130 197 1 0 152 0 1.2 0 0 2
## 555 58 1 0 100 234 0 1 156 0 0.1 2 1 3
## 556 67 1 0 125 254 1 1 163 0 0.2 1 2 3
## 557 59 1 0 140 177 0 1 162 1 0.0 2 1 3
## 558 48 1 0 122 222 0 0 186 0 0.0 2 0 2
## 559 39 0 2 94 199 0 1 179 0 0.0 2 0 2
## 560 67 1 0 120 237 0 1 71 0 1.0 1 0 2
## 561 58 0 0 130 197 0 1 131 0 0.6 1 0 2
## 562 65 0 2 155 269 0 1 148 0 0.8 2 0 2
## 563 42 0 2 120 209 0 1 173 0 0.0 1 0 2
## 564 44 1 0 112 290 0 0 153 0 0.0 2 1 2
## 565 56 1 0 132 184 0 0 105 1 2.1 1 1 1
## 566 53 0 0 138 234 0 0 160 0 0.0 2 0 2
## 567 50 0 0 110 254 0 0 159 0 0.0 2 0 2
## 568 41 1 2 130 214 0 0 168 0 2.0 1 0 2
## 569 54 0 2 160 201 0 1 163 0 0.0 2 1 2
## 570 42 1 2 120 240 1 1 194 0 0.8 0 0 3
## 571 54 0 2 135 304 1 1 170 0 0.0 2 0 2
## 572 60 1 0 145 282 0 0 142 1 2.8 1 2 3
## 573 34 1 3 118 182 0 0 174 0 0.0 2 0 2
## 574 44 1 0 112 290 0 0 153 0 0.0 2 1 2
## 575 60 1 0 125 258 0 0 141 1 2.8 1 1 3
## 576 43 1 0 150 247 0 1 171 0 1.5 2 0 2
## 577 52 1 3 152 298 1 1 178 0 1.2 1 0 3
## 578 70 1 0 130 322 0 0 109 0 2.4 1 3 2
## 579 62 0 0 140 394 0 0 157 0 1.2 1 0 2
## 580 58 1 0 146 218 0 1 105 0 2.0 1 1 3
## 581 46 1 1 101 197 1 1 156 0 0.0 2 0 3
## 582 44 1 2 140 235 0 0 180 0 0.0 2 0 2
## 583 55 1 1 130 262 0 1 155 0 0.0 2 0 2
## 584 43 1 0 120 177 0 0 120 1 2.5 1 0 3
## 585 55 1 0 132 353 0 1 132 1 1.2 1 1 3
## 586 40 1 3 140 199 0 1 178 1 1.4 2 0 3
## 587 64 1 2 125 309 0 1 131 1 1.8 1 0 3
## 588 59 1 0 164 176 1 0 90 0 1.0 1 2 1
## 589 61 0 0 145 307 0 0 146 1 1.0 1 0 3
## 590 54 1 0 122 286 0 0 116 1 3.2 1 2 2
## 591 74 0 1 120 269 0 0 121 1 0.2 2 1 2
## 592 63 0 0 108 269 0 1 169 1 1.8 1 2 2
## 593 70 1 2 160 269 0 1 112 1 2.9 1 1 3
## 594 63 0 0 108 269 0 1 169 1 1.8 1 2 2
## 595 64 1 0 145 212 0 0 132 0 2.0 1 2 1
## 596 61 1 0 148 203 0 1 161 0 0.0 2 1 3
## 597 59 1 1 140 221 0 1 164 1 0.0 2 0 2
## 598 38 1 2 138 175 0 1 173 0 0.0 2 4 2
## 599 58 1 1 120 284 0 0 160 0 1.8 1 0 2
## 600 63 0 1 140 195 0 1 179 0 0.0 2 2 2
## 601 62 0 2 130 263 0 1 97 0 1.2 1 1 3
## 602 46 1 0 140 311 0 1 120 1 1.8 1 2 3
## 603 58 0 2 120 340 0 1 172 0 0.0 2 0 2
## 604 63 0 1 140 195 0 1 179 0 0.0 2 2 2
## 605 47 1 2 130 253 0 1 179 0 0.0 2 0 2
## 606 71 0 2 110 265 1 0 130 0 0.0 2 1 2
## 607 66 1 0 112 212 0 0 132 1 0.1 2 1 2
## 608 42 1 0 136 315 0 1 125 1 1.8 1 0 1
## 609 64 1 0 145 212 0 0 132 0 2.0 1 2 1
## 610 55 0 0 180 327 0 2 117 1 3.4 1 0 2
## 611 43 0 0 132 341 1 0 136 1 3.0 1 0 3
## 612 55 0 0 128 205 0 2 130 1 2.0 1 1 3
## 613 58 0 0 170 225 1 0 146 1 2.8 1 2 1
## 614 55 1 0 140 217 0 1 111 1 5.6 0 0 3
## 615 51 0 0 130 305 0 1 142 1 1.2 1 0 3
## 616 50 0 2 120 219 0 1 158 0 1.6 1 0 2
## 617 43 1 0 115 303 0 1 181 0 1.2 1 0 2
## 618 41 0 1 126 306 0 1 163 0 0.0 2 0 2
## 619 49 1 1 130 266 0 1 171 0 0.6 2 0 2
## 620 65 1 0 110 248 0 0 158 0 0.6 2 2 1
## 621 57 1 0 152 274 0 1 88 1 1.2 1 1 3
## 622 48 1 0 130 256 1 0 150 1 0.0 2 2 3
## 623 62 0 0 138 294 1 1 106 0 1.9 1 3 2
## 624 61 1 3 134 234 0 1 145 0 2.6 1 2 2
## 625 59 1 3 178 270 0 0 145 0 4.2 0 0 3
## 626 69 1 2 140 254 0 0 146 0 2.0 1 3 3
## 627 58 1 2 132 224 0 0 173 0 3.2 2 2 3
## 628 38 1 3 120 231 0 1 182 1 3.8 1 0 3
## 629 69 0 3 140 239 0 1 151 0 1.8 2 2 2
## 630 65 1 3 138 282 1 0 174 0 1.4 1 1 2
## 631 45 1 3 110 264 0 1 132 0 1.2 1 0 3
## 632 49 1 1 130 266 0 1 171 0 0.6 2 0 2
## 633 45 0 1 130 234 0 0 175 0 0.6 1 0 2
## 634 61 1 0 138 166 0 0 125 1 3.6 1 1 2
## 635 52 1 0 125 212 0 1 168 0 1.0 2 2 3
## 636 53 0 0 130 264 0 0 143 0 0.4 1 0 2
## 637 59 0 0 174 249 0 1 143 1 0.0 1 0 2
## 638 58 0 2 120 340 0 1 172 0 0.0 2 0 2
## 639 65 1 3 138 282 1 0 174 0 1.4 1 1 2
## 640 58 0 0 130 197 0 1 131 0 0.6 1 0 2
## 641 46 0 0 138 243 0 0 152 1 0.0 1 0 2
## 642 56 0 0 134 409 0 0 150 1 1.9 1 2 3
## 643 64 1 0 128 263 0 1 105 1 0.2 1 1 3
## 644 65 1 0 120 177 0 1 140 0 0.4 2 0 3
## 645 44 1 2 120 226 0 1 169 0 0.0 2 0 2
## 646 50 1 0 150 243 0 0 128 0 2.6 1 0 3
## 647 47 1 2 108 243 0 1 152 0 0.0 2 0 2
## 648 64 0 0 130 303 0 1 122 0 2.0 1 2 2
## 649 71 0 0 112 149 0 1 125 0 1.6 1 0 2
## 650 45 0 1 130 234 0 0 175 0 0.6 1 0 2
## 651 62 1 0 120 267 0 1 99 1 1.8 1 2 3
## 652 41 1 1 120 157 0 1 182 0 0.0 2 0 2
## 653 66 0 3 150 226 0 1 114 0 2.6 0 0 2
## 654 56 1 0 130 283 1 0 103 1 1.6 0 0 3
## 655 41 0 1 126 306 0 1 163 0 0.0 2 0 2
## 656 41 1 1 110 235 0 1 153 0 0.0 2 0 2
## 657 57 0 1 130 236 0 0 174 0 0.0 1 1 2
## 658 39 0 2 138 220 0 1 152 0 0.0 1 0 2
## 659 64 1 2 125 309 0 1 131 1 1.8 1 0 3
## 660 59 1 0 138 271 0 0 182 0 0.0 2 0 2
## 661 61 1 0 138 166 0 0 125 1 3.6 1 1 2
## 662 58 1 0 114 318 0 2 140 0 4.4 0 3 1
## 663 47 1 0 112 204 0 1 143 0 0.1 2 0 2
## 664 58 0 0 100 248 0 0 122 0 1.0 1 0 2
## 665 66 0 3 150 226 0 1 114 0 2.6 0 0 2
## 666 65 0 2 140 417 1 0 157 0 0.8 2 1 2
## 667 35 1 1 122 192 0 1 174 0 0.0 2 0 2
## 668 57 1 1 124 261 0 1 141 0 0.3 2 0 3
## 669 29 1 1 130 204 0 0 202 0 0.0 2 0 2
## 670 66 1 1 160 246 0 1 120 1 0.0 1 3 1
## 671 61 0 0 130 330 0 0 169 0 0.0 2 0 2
## 672 52 1 0 125 212 0 1 168 0 1.0 2 2 3
## 673 68 1 2 118 277 0 1 151 0 1.0 2 1 3
## 674 54 1 2 120 258 0 0 147 0 0.4 1 0 3
## 675 63 1 0 130 330 1 0 132 1 1.8 2 3 3
## 676 58 1 0 100 234 0 1 156 0 0.1 2 1 3
## 677 60 1 0 130 253 0 1 144 1 1.4 2 1 3
## 678 63 1 0 130 254 0 0 147 0 1.4 1 1 3
## 679 41 0 2 112 268 0 0 172 1 0.0 2 0 2
## 680 68 1 2 180 274 1 0 150 1 1.6 1 0 3
## 681 42 1 1 120 295 0 1 162 0 0.0 2 0 2
## 682 59 1 0 170 326 0 0 140 1 3.4 0 0 3
## 683 59 1 0 164 176 1 0 90 0 1.0 1 2 1
## 684 43 1 0 120 177 0 0 120 1 2.5 1 0 3
## 685 60 1 2 140 185 0 0 155 0 3.0 1 0 2
## 686 63 0 0 150 407 0 0 154 0 4.0 1 3 3
## 687 52 1 0 128 204 1 1 156 1 1.0 1 0 0
## 688 58 1 0 125 300 0 0 171 0 0.0 2 2 3
## 689 56 0 0 200 288 1 0 133 1 4.0 0 2 3
## 690 54 0 2 135 304 1 1 170 0 0.0 2 0 2
## 691 58 1 2 105 240 0 0 154 1 0.6 1 0 3
## 692 55 0 1 135 250 0 0 161 0 1.4 1 0 2
## 693 53 1 0 140 203 1 0 155 1 3.1 0 0 3
## 694 63 0 1 140 195 0 1 179 0 0.0 2 2 2
## 695 39 1 0 118 219 0 1 140 0 1.2 1 0 3
## 696 35 1 0 126 282 0 0 156 1 0.0 2 0 3
## 697 50 0 2 120 219 0 1 158 0 1.6 1 0 2
## 698 67 1 2 152 212 0 0 150 0 0.8 1 0 3
## 699 66 1 0 112 212 0 0 132 1 0.1 2 1 2
## 700 35 1 0 126 282 0 0 156 1 0.0 2 0 3
## 701 41 1 2 130 214 0 0 168 0 2.0 1 0 2
## 702 35 1 0 120 198 0 1 130 1 1.6 1 0 3
## 703 71 0 1 160 302 0 1 162 0 0.4 2 2 2
## 704 57 1 0 110 201 0 1 126 1 1.5 1 0 1
## 705 51 1 2 94 227 0 1 154 1 0.0 2 1 3
## 706 58 1 0 128 216 0 0 131 1 2.2 1 3 3
## 707 57 1 2 128 229 0 0 150 0 0.4 1 1 3
## 708 56 0 1 140 294 0 0 153 0 1.3 1 0 2
## 709 60 0 2 120 178 1 1 96 0 0.0 2 0 2
## 710 45 1 3 110 264 0 1 132 0 1.2 1 0 3
## 711 56 1 1 130 221 0 0 163 0 0.0 2 0 3
## 712 35 1 0 120 198 0 1 130 1 1.6 1 0 3
## 713 45 0 1 112 160 0 1 138 0 0.0 1 0 2
## 714 66 0 3 150 226 0 1 114 0 2.6 0 0 2
## 715 51 1 3 125 213 0 0 125 1 1.4 2 1 2
## 716 70 1 1 156 245 0 0 143 0 0.0 2 0 2
## 717 55 0 0 128 205 0 2 130 1 2.0 1 1 3
## 718 56 1 2 130 256 1 0 142 1 0.6 1 1 1
## 719 55 0 1 135 250 0 0 161 0 1.4 1 0 2
## 720 52 1 0 108 233 1 1 147 0 0.1 2 3 3
## 721 64 1 2 140 335 0 1 158 0 0.0 2 0 2
## 722 45 1 0 115 260 0 0 185 0 0.0 2 0 2
## 723 67 0 2 152 277 0 1 172 0 0.0 2 1 2
## 724 68 0 2 120 211 0 0 115 0 1.5 1 0 2
## 725 74 0 1 120 269 0 0 121 1 0.2 2 1 2
## 726 60 0 0 150 258 0 0 157 0 2.6 1 2 3
## 727 48 1 0 124 274 0 0 166 0 0.5 1 0 3
## 728 56 1 1 130 221 0 0 163 0 0.0 2 0 3
## 729 46 1 0 140 311 0 1 120 1 1.8 1 2 3
## 730 55 0 1 135 250 0 0 161 0 1.4 1 0 2
## 731 44 1 1 120 220 0 1 170 0 0.0 2 0 2
## 732 52 1 0 112 230 0 1 160 0 0.0 2 1 2
## 733 51 1 2 94 227 0 1 154 1 0.0 2 1 3
## 734 44 0 2 108 141 0 1 175 0 0.6 1 0 2
## 735 52 1 0 128 204 1 1 156 1 1.0 1 0 0
## 736 50 1 2 129 196 0 1 163 0 0.0 2 0 2
## 737 59 1 0 110 239 0 0 142 1 1.2 1 1 3
## 738 67 1 0 120 229 0 0 129 1 2.6 1 2 3
## 739 58 1 0 125 300 0 0 171 0 0.0 2 2 3
## 740 52 1 0 128 255 0 1 161 1 0.0 2 1 3
## 741 44 1 2 140 235 0 0 180 0 0.0 2 0 2
## 742 41 0 2 112 268 0 0 172 1 0.0 2 0 2
## 743 63 1 0 130 330 1 0 132 1 1.8 2 3 3
## 744 58 1 1 125 220 0 1 144 0 0.4 1 4 3
## 745 60 0 2 102 318 0 1 160 0 0.0 2 1 2
## 746 51 1 2 100 222 0 1 143 1 1.2 1 0 2
## 747 64 1 2 140 335 0 1 158 0 0.0 2 0 2
## 748 60 1 0 117 230 1 1 160 1 1.4 2 2 3
## 749 44 1 2 120 226 0 1 169 0 0.0 2 0 2
## 750 58 1 1 125 220 0 1 144 0 0.4 1 4 3
## 751 55 1 1 130 262 0 1 155 0 0.0 2 0 2
## 752 65 0 2 160 360 0 0 151 0 0.8 2 0 2
## 753 48 1 1 130 245 0 0 180 0 0.2 1 0 2
## 754 65 1 0 120 177 0 1 140 0 0.4 2 0 3
## 755 51 0 2 130 256 0 0 149 0 0.5 2 0 2
## 756 48 1 2 124 255 1 1 175 0 0.0 2 2 2
## 757 64 1 0 120 246 0 0 96 1 2.2 0 1 2
## 758 66 1 0 160 228 0 0 138 0 2.3 2 0 1
## 759 46 0 1 105 204 0 1 172 0 0.0 2 0 2
## 760 61 0 0 130 330 0 0 169 0 0.0 2 0 2
## 761 57 1 0 150 276 0 0 112 1 0.6 1 1 1
## 762 49 0 0 130 269 0 1 163 0 0.0 2 0 2
## 763 56 1 1 130 221 0 0 163 0 0.0 2 0 3
## 764 58 0 3 150 283 1 0 162 0 1.0 2 0 2
## 765 63 1 0 140 187 0 0 144 1 4.0 2 2 3
## 766 57 1 0 110 335 0 1 143 1 3.0 1 1 3
## 767 57 1 0 110 335 0 1 143 1 3.0 1 1 3
## 768 68 1 0 144 193 1 1 141 0 3.4 1 2 3
## 769 46 1 1 101 197 1 1 156 0 0.0 2 0 3
## 770 71 0 2 110 265 1 0 130 0 0.0 2 1 2
## 771 41 1 1 135 203 0 1 132 0 0.0 1 0 1
## 772 45 0 0 138 236 0 0 152 1 0.2 1 0 2
## 773 62 0 0 150 244 0 1 154 1 1.4 1 0 2
## 774 65 0 0 150 225 0 0 114 0 1.0 1 3 3
## 775 48 0 2 130 275 0 1 139 0 0.2 2 0 2
## 776 51 1 2 100 222 0 1 143 1 1.2 1 0 2
## 777 61 0 0 145 307 0 0 146 1 1.0 1 0 3
## 778 53 1 0 123 282 0 1 95 1 2.0 1 2 3
## 779 59 1 3 134 204 0 1 162 0 0.8 2 2 2
## 780 34 0 1 118 210 0 1 192 0 0.7 2 0 2
## 781 44 1 0 120 169 0 1 144 1 2.8 0 0 1
## 782 58 1 0 146 218 0 1 105 0 2.0 1 1 3
## 783 64 0 0 130 303 0 1 122 0 2.0 1 2 2
## 784 56 1 1 120 240 0 1 169 0 0.0 0 0 2
## 785 54 1 2 150 232 0 0 165 0 1.6 2 0 3
## 786 55 1 0 160 289 0 0 145 1 0.8 1 1 3
## 787 67 1 0 125 254 1 1 163 0 0.2 1 2 3
## 788 51 1 0 140 298 0 1 122 1 4.2 1 3 3
## 789 62 0 0 138 294 1 1 106 0 1.9 1 3 2
## 790 62 1 1 120 281 0 0 103 0 1.4 1 1 3
## 791 54 1 0 110 239 0 1 126 1 2.8 1 1 3
## 792 54 1 0 110 239 0 1 126 1 2.8 1 1 3
## 793 68 1 0 144 193 1 1 141 0 3.4 1 2 3
## 794 60 0 2 120 178 1 1 96 0 0.0 2 0 2
## 795 61 1 3 134 234 0 1 145 0 2.6 1 2 2
## 796 62 1 1 128 208 1 0 140 0 0.0 2 0 2
## 797 41 1 1 135 203 0 1 132 0 0.0 1 0 1
## 798 65 0 0 150 225 0 0 114 0 1.0 1 3 3
## 799 59 1 3 170 288 0 0 159 0 0.2 1 0 3
## 800 43 1 0 115 303 0 1 181 0 1.2 1 0 2
## 801 67 1 0 120 229 0 0 129 1 2.6 1 2 3
## 802 63 1 3 145 233 1 0 150 0 2.3 0 0 1
## 803 63 0 0 124 197 0 1 136 1 0.0 1 0 2
## 804 52 1 0 112 230 0 1 160 0 0.0 2 1 2
## 805 58 0 0 130 197 0 1 131 0 0.6 1 0 2
## 806 53 1 0 142 226 0 0 111 1 0.0 2 0 3
## 807 57 1 0 150 276 0 0 112 1 0.6 1 1 1
## 808 44 1 2 130 233 0 1 179 1 0.4 2 0 2
## 809 51 1 2 94 227 0 1 154 1 0.0 2 1 3
## 810 54 0 2 110 214 0 1 158 0 1.6 1 0 2
## 811 40 1 0 110 167 0 0 114 1 2.0 1 0 3
## 812 57 1 1 124 261 0 1 141 0 0.3 2 0 3
## 813 62 0 0 140 268 0 0 160 0 3.6 0 2 2
## 814 53 1 0 140 203 1 0 155 1 3.1 0 0 3
## 815 62 1 1 128 208 1 0 140 0 0.0 2 0 2
## 816 58 1 2 105 240 0 0 154 1 0.6 1 0 3
## 817 70 1 1 156 245 0 0 143 0 0.0 2 0 2
## 818 45 1 0 115 260 0 0 185 0 0.0 2 0 2
## 819 42 1 3 148 244 0 0 178 0 0.8 2 2 2
## 820 58 0 0 170 225 1 0 146 1 2.8 1 2 1
## 821 61 1 0 140 207 0 0 138 1 1.9 2 1 3
## 822 62 0 0 140 268 0 0 160 0 3.6 0 2 2
## 823 60 1 0 130 253 0 1 144 1 1.4 2 1 3
## 824 54 1 0 140 239 0 1 160 0 1.2 2 0 2
## 825 61 1 0 138 166 0 0 125 1 3.6 1 1 2
## 826 63 0 2 135 252 0 0 172 0 0.0 2 0 2
## 827 42 1 2 130 180 0 1 150 0 0.0 2 0 2
## 828 57 1 2 128 229 0 0 150 0 0.4 1 1 3
## 829 44 1 2 130 233 0 1 179 1 0.4 2 0 2
## 830 54 1 0 124 266 0 0 109 1 2.2 1 1 3
## 831 51 1 2 100 222 0 1 143 1 1.2 1 0 2
## 832 58 1 1 125 220 0 1 144 0 0.4 1 4 3
## 833 68 1 2 118 277 0 1 151 0 1.0 2 1 3
## 834 55 1 0 140 217 0 1 111 1 5.6 0 0 3
## 835 42 1 0 136 315 0 1 125 1 1.8 1 0 1
## 836 49 1 2 118 149 0 0 126 0 0.8 2 3 2
## 837 53 0 0 138 234 0 0 160 0 0.0 2 0 2
## 838 52 1 2 172 199 1 1 162 0 0.5 2 0 3
## 839 51 1 3 125 213 0 0 125 1 1.4 2 1 2
## 840 51 1 0 140 261 0 0 186 1 0.0 2 0 2
## 841 70 1 0 145 174 0 1 125 1 2.6 0 0 3
## 842 35 0 0 138 183 0 1 182 0 1.4 2 0 2
## 843 58 1 2 112 230 0 0 165 0 2.5 1 1 3
## 844 59 1 3 160 273 0 0 125 0 0.0 2 0 2
## 845 60 1 0 140 293 0 0 170 0 1.2 1 2 3
## 846 56 1 0 132 184 0 0 105 1 2.1 1 1 1
## 847 35 0 0 138 183 0 1 182 0 1.4 2 0 2
## 848 61 1 0 138 166 0 0 125 1 3.6 1 1 2
## 849 58 0 3 150 283 1 0 162 0 1.0 2 0 2
## 850 52 1 0 128 255 0 1 161 1 0.0 2 1 3
## 851 58 1 1 120 284 0 0 160 0 1.8 1 0 2
## 852 37 1 2 130 250 0 1 187 0 3.5 0 0 2
## 853 52 1 0 128 255 0 1 161 1 0.0 2 1 3
## 854 67 1 0 120 229 0 0 129 1 2.6 1 2 3
## 855 65 1 3 138 282 1 0 174 0 1.4 1 1 2
## 856 46 1 1 101 197 1 1 156 0 0.0 2 0 3
## 857 68 0 2 120 211 0 0 115 0 1.5 1 0 2
## 858 43 1 0 115 303 0 1 181 0 1.2 1 0 2
## 859 68 0 2 120 211 0 0 115 0 1.5 1 0 2
## 860 51 1 0 140 299 0 1 173 1 1.6 2 0 3
## 861 52 1 0 112 230 0 1 160 0 0.0 2 1 2
## 862 64 1 2 140 335 0 1 158 0 0.0 2 0 2
## 863 59 1 3 170 288 0 0 159 0 0.2 1 0 3
## 864 52 1 0 125 212 0 1 168 0 1.0 2 2 3
## 865 59 1 3 160 273 0 0 125 0 0.0 2 0 2
## 866 60 0 3 150 240 0 1 171 0 0.9 2 0 2
## 867 41 1 2 112 250 0 1 179 0 0.0 2 0 2
## 868 41 1 1 110 235 0 1 153 0 0.0 2 0 2
## 869 56 1 1 120 240 0 1 169 0 0.0 0 0 2
## 870 56 1 1 120 236 0 1 178 0 0.8 2 0 2
## 871 48 0 2 130 275 0 1 139 0 0.2 2 0 2
## 872 39 1 2 140 321 0 0 182 0 0.0 2 0 2
## 873 64 1 3 170 227 0 0 155 0 0.6 1 0 3
## 874 57 1 0 140 192 0 1 148 0 0.4 1 0 1
## 875 59 1 3 160 273 0 0 125 0 0.0 2 0 2
## 876 60 1 0 130 206 0 0 132 1 2.4 1 2 3
## 877 61 1 0 140 207 0 0 138 1 1.9 2 1 3
## 878 43 0 2 122 213 0 1 165 0 0.2 1 0 2
## 879 54 1 0 120 188 0 1 113 0 1.4 1 1 3
## 880 59 1 0 138 271 0 0 182 0 0.0 2 0 2
## 881 57 1 0 132 207 0 1 168 1 0.0 2 0 3
## 882 57 1 1 154 232 0 0 164 0 0.0 2 1 2
## 883 57 1 0 130 131 0 1 115 1 1.2 1 1 3
## 884 48 1 0 124 274 0 0 166 0 0.5 1 0 3
## 885 70 1 0 145 174 0 1 125 1 2.6 0 0 3
## 886 57 1 0 165 289 1 0 124 0 1.0 1 3 3
## 887 61 1 0 120 260 0 1 140 1 3.6 1 1 3
## 888 57 1 0 110 201 0 1 126 1 1.5 1 0 1
## 889 60 0 0 150 258 0 0 157 0 2.6 1 2 3
## 890 63 0 0 150 407 0 0 154 0 4.0 1 3 3
## 891 55 0 0 128 205 0 2 130 1 2.0 1 1 3
## 892 64 0 0 180 325 0 1 154 1 0.0 2 0 2
## 893 54 1 0 110 239 0 1 126 1 2.8 1 1 3
## 894 52 1 0 128 204 1 1 156 1 1.0 1 0 0
## 895 51 1 0 140 299 0 1 173 1 1.6 2 0 3
## 896 62 0 2 130 263 0 1 97 0 1.2 1 1 3
## 897 59 1 3 178 270 0 0 145 0 4.2 0 0 3
## 898 52 1 1 134 201 0 1 158 0 0.8 2 1 2
## 899 42 0 0 102 265 0 0 122 0 0.6 1 0 2
## 900 59 1 0 135 234 0 1 161 0 0.5 1 0 3
## 901 61 1 3 134 234 0 1 145 0 2.6 1 2 2
## 902 42 0 0 102 265 0 0 122 0 0.6 1 0 2
## 903 62 0 0 140 268 0 0 160 0 3.6 0 2 2
## 904 59 1 2 126 218 1 1 134 0 2.2 1 1 1
## 905 55 1 1 130 262 0 1 155 0 0.0 2 0 2
## 906 64 1 0 120 246 0 0 96 1 2.2 0 1 2
## 907 42 1 0 140 226 0 1 178 0 0.0 2 0 2
## 908 50 0 1 120 244 0 1 162 0 1.1 2 0 2
## 909 62 1 0 120 267 0 1 99 1 1.8 1 2 3
## 910 50 1 0 144 200 0 0 126 1 0.9 1 0 3
## 911 50 1 2 140 233 0 1 163 0 0.6 1 1 3
## 912 58 0 1 136 319 1 0 152 0 0.0 2 2 2
## 913 35 1 0 120 198 0 1 130 1 1.6 1 0 3
## 914 45 1 0 104 208 0 0 148 1 3.0 1 0 2
## 915 66 1 0 112 212 0 0 132 1 0.1 2 1 2
## 916 46 1 0 120 249 0 0 144 0 0.8 2 0 3
## 917 65 1 0 135 254 0 0 127 0 2.8 1 1 3
## 918 47 1 2 130 253 0 1 179 0 0.0 2 0 2
## 919 59 1 3 134 204 0 1 162 0 0.8 2 2 2
## 920 38 1 3 120 231 0 1 182 1 3.8 1 0 3
## 921 39 1 0 118 219 0 1 140 0 1.2 1 0 3
## 922 58 1 0 146 218 0 1 105 0 2.0 1 1 3
## 923 44 1 1 120 263 0 1 173 0 0.0 2 0 3
## 924 54 1 0 140 239 0 1 160 0 1.2 2 0 2
## 925 61 0 0 130 330 0 0 169 0 0.0 2 0 2
## 926 57 1 0 130 131 0 1 115 1 1.2 1 1 3
## 927 54 1 0 110 206 0 0 108 1 0.0 1 1 2
## 928 42 1 2 120 240 1 1 194 0 0.8 0 0 3
## 929 54 1 0 124 266 0 0 109 1 2.2 1 1 3
## 930 60 1 0 130 206 0 0 132 1 2.4 1 2 3
## 931 65 1 0 135 254 0 0 127 0 2.8 1 1 3
## 932 40 1 0 152 223 0 1 181 0 0.0 2 0 3
## 933 51 0 2 140 308 0 0 142 0 1.5 2 1 2
## 934 38 1 3 120 231 0 1 182 1 3.8 1 0 3
## 935 42 1 2 130 180 0 1 150 0 0.0 2 0 2
## 936 56 1 1 120 240 0 1 169 0 0.0 0 0 2
## 937 43 1 2 130 315 0 1 162 0 1.9 2 1 2
## 938 64 1 2 140 335 0 1 158 0 0.0 2 0 2
## 939 53 1 0 142 226 0 0 111 1 0.0 2 0 3
## 940 49 0 1 134 271 0 1 162 0 0.0 1 0 2
## 941 57 0 0 140 241 0 1 123 1 0.2 1 0 3
## 942 52 0 2 136 196 0 0 169 0 0.1 1 0 2
## 943 69 0 3 140 239 0 1 151 0 1.8 2 2 2
## 944 65 1 0 120 177 0 1 140 0 0.4 2 0 3
## 945 66 0 0 178 228 1 1 165 1 1.0 1 2 3
## 946 56 1 3 120 193 0 0 162 0 1.9 1 0 3
## 947 67 0 2 152 277 0 1 172 0 0.0 2 1 2
## 948 54 0 2 160 201 0 1 163 0 0.0 2 1 2
## 949 70 1 0 145 174 0 1 125 1 2.6 0 0 3
## 950 57 1 0 132 207 0 1 168 1 0.0 2 0 3
## 951 67 1 0 160 286 0 0 108 1 1.5 1 3 2
## 952 62 0 2 130 263 0 1 97 0 1.2 1 1 3
## 953 54 0 2 135 304 1 1 170 0 0.0 2 0 2
## 954 45 0 0 138 236 0 0 152 1 0.2 1 0 2
## 955 53 0 0 130 264 0 0 143 0 0.4 1 0 2
## 956 62 1 2 130 231 0 1 146 0 1.8 1 3 3
## 957 49 0 0 130 269 0 1 163 0 0.0 2 0 2
## 958 50 1 2 140 233 0 1 163 0 0.6 1 1 3
## 959 65 0 2 140 417 1 0 157 0 0.8 2 1 2
## 960 69 0 3 140 239 0 1 151 0 1.8 2 2 2
## 961 52 0 2 136 196 0 0 169 0 0.1 1 0 2
## 962 58 0 0 100 248 0 0 122 0 1.0 1 0 2
## 963 52 1 0 108 233 1 1 147 0 0.1 2 3 3
## 964 57 0 0 140 241 0 1 123 1 0.2 1 0 3
## 965 44 0 2 108 141 0 1 175 0 0.6 1 0 2
## 966 76 0 2 140 197 0 2 116 0 1.1 1 0 2
## 967 58 1 0 128 259 0 0 130 1 3.0 1 2 3
## 968 60 0 2 120 178 1 1 96 0 0.0 2 0 2
## 969 53 1 0 140 203 1 0 155 1 3.1 0 0 3
## 970 52 1 1 120 325 0 1 172 0 0.2 2 0 2
## 971 38 1 2 138 175 0 1 173 0 0.0 2 4 2
## 972 52 1 2 172 199 1 1 162 0 0.5 2 0 3
## 973 52 1 3 118 186 0 0 190 0 0.0 1 0 1
## 974 51 1 2 125 245 1 0 166 0 2.4 1 0 2
## 975 43 1 0 110 211 0 1 161 0 0.0 2 0 3
## 976 39 1 0 118 219 0 1 140 0 1.2 1 0 3
## 977 63 0 0 108 269 0 1 169 1 1.8 1 2 2
## 978 52 1 1 128 205 1 1 184 0 0.0 2 0 2
## 979 44 1 0 110 197 0 0 177 0 0.0 2 1 2
## 980 45 1 0 142 309 0 0 147 1 0.0 1 3 3
## 981 57 1 0 140 192 0 1 148 0 0.4 1 0 1
## 982 39 1 0 118 219 0 1 140 0 1.2 1 0 3
## 983 67 0 0 106 223 0 1 142 0 0.3 2 2 2
## 984 64 1 0 128 263 0 1 105 1 0.2 1 1 3
## 985 59 1 0 135 234 0 1 161 0 0.5 1 0 3
## 986 62 1 2 130 231 0 1 146 0 1.8 1 3 3
## 987 55 0 0 180 327 0 2 117 1 3.4 1 0 2
## 988 57 1 1 154 232 0 0 164 0 0.0 2 1 2
## 989 60 1 0 140 293 0 0 170 0 1.2 1 2 3
## 990 71 0 1 160 302 0 1 162 0 0.4 2 2 2
## 991 56 1 1 120 236 0 1 178 0 0.8 2 0 2
## 992 60 1 0 117 230 1 1 160 1 1.4 2 2 3
## 993 50 0 0 110 254 0 0 159 0 0.0 2 0 2
## 994 43 1 0 132 247 1 0 143 1 0.1 1 4 3
## 995 59 1 0 110 239 0 0 142 1 1.2 1 1 3
## 996 44 1 1 120 263 0 1 173 0 0.0 2 0 3
## 997 56 0 0 134 409 0 0 150 1 1.9 1 2 3
## 998 54 1 0 120 188 0 1 113 0 1.4 1 1 3
## 999 42 1 0 136 315 0 1 125 1 1.8 1 0 1
## 1000 67 1 0 125 254 1 1 163 0 0.2 1 2 3
## 1001 64 1 0 145 212 0 0 132 0 2.0 1 2 1
## 1002 42 1 0 140 226 0 1 178 0 0.0 2 0 2
## 1003 66 1 0 112 212 0 0 132 1 0.1 2 1 2
## 1004 52 1 0 108 233 1 1 147 0 0.1 2 3 3
## 1005 51 0 2 140 308 0 0 142 0 1.5 2 1 2
## 1006 55 0 0 128 205 0 2 130 1 2.0 1 1 3
## 1007 58 1 2 140 211 1 0 165 0 0.0 2 0 2
## 1008 56 1 3 120 193 0 0 162 0 1.9 1 0 3
## 1009 42 1 1 120 295 0 1 162 0 0.0 2 0 2
## 1010 40 1 0 152 223 0 1 181 0 0.0 2 0 3
## 1011 51 1 0 140 299 0 1 173 1 1.6 2 0 3
## 1012 45 1 1 128 308 0 0 170 0 0.0 2 0 2
## 1013 48 1 1 110 229 0 1 168 0 1.0 0 0 3
## 1014 58 1 0 114 318 0 2 140 0 4.4 0 3 1
## 1015 44 0 2 108 141 0 1 175 0 0.6 1 0 2
## 1016 58 1 0 128 216 0 0 131 1 2.2 1 3 3
## 1017 65 1 3 138 282 1 0 174 0 1.4 1 1 2
## 1018 53 1 0 123 282 0 1 95 1 2.0 1 2 3
## 1019 41 1 0 110 172 0 0 158 0 0.0 2 0 3
## 1020 47 1 0 112 204 0 1 143 0 0.1 2 0 2
## 1021 59 1 1 140 221 0 1 164 1 0.0 2 0 2
## 1022 60 1 0 125 258 0 0 141 1 2.8 1 1 3
## 1023 47 1 0 110 275 0 0 118 1 1.0 1 1 2
## 1024 50 0 0 110 254 0 0 159 0 0.0 2 0 2
## 1025 54 1 0 120 188 0 1 113 0 1.4 1 1 3
## target
## 1 0
## 2 0
## 3 0
## 4 0
## 5 0
## 6 1
## 7 0
## 8 0
## 9 0
## 10 0
## 11 1
## 12 0
## 13 1
## 14 0
## 15 0
## 16 1
## 17 1
## 18 0
## 19 1
## 20 1
## 21 0
## 22 1
## 23 1
## 24 1
## 25 1
## 26 0
## 27 1
## 28 0
## 29 0
## 30 0
## 31 0
## 32 1
## 33 0
## 34 0
## 35 1
## 36 0
## 37 1
## 38 1
## 39 1
## 40 0
## 41 1
## 42 1
## 43 0
## 44 0
## 45 1
## 46 1
## 47 1
## 48 0
## 49 1
## 50 0
## 51 1
## 52 0
## 53 1
## 54 0
## 55 0
## 56 0
## 57 1
## 58 1
## 59 0
## 60 0
## 61 1
## 62 1
## 63 0
## 64 1
## 65 1
## 66 0
## 67 1
## 68 0
## 69 1
## 70 0
## 71 0
## 72 0
## 73 0
## 74 0
## 75 0
## 76 1
## 77 1
## 78 0
## 79 1
## 80 1
## 81 0
## 82 0
## 83 0
## 84 1
## 85 1
## 86 1
## 87 1
## 88 0
## 89 0
## 90 0
## 91 1
## 92 1
## 93 0
## 94 0
## 95 1
## 96 1
## 97 1
## 98 0
## 99 0
## 100 1
## 101 1
## 102 1
## 103 1
## 104 1
## 105 1
## 106 0
## 107 0
## 108 0
## 109 0
## 110 0
## 111 0
## 112 1
## 113 0
## 114 0
## 115 0
## 116 0
## 117 0
## 118 0
## 119 1
## 120 1
## 121 1
## 122 0
## 123 0
## 124 1
## 125 0
## 126 1
## 127 1
## 128 1
## 129 1
## 130 1
## 131 1
## 132 1
## 133 1
## 134 1
## 135 1
## 136 0
## 137 1
## 138 1
## 139 1
## 140 1
## 141 0
## 142 0
## 143 0
## 144 1
## 145 1
## 146 0
## 147 1
## 148 0
## 149 1
## 150 1
## 151 0
## 152 0
## 153 0
## 154 1
## 155 0
## 156 1
## 157 1
## 158 1
## 159 1
## 160 1
## 161 0
## 162 1
## 163 0
## 164 0
## 165 0
## 166 0
## 167 0
## 168 1
## 169 1
## 170 1
## 171 1
## 172 0
## 173 1
## 174 1
## 175 0
## 176 0
## 177 0
## 178 0
## 179 0
## 180 0
## 181 0
## 182 1
## 183 0
## 184 1
## 185 1
## 186 0
## 187 0
## 188 0
## 189 0
## 190 0
## 191 1
## 192 1
## 193 1
## 194 1
## 195 0
## 196 1
## 197 0
## 198 1
## 199 1
## 200 0
## 201 1
## 202 1
## 203 1
## 204 1
## 205 1
## 206 1
## 207 0
## 208 1
## 209 1
## 210 0
## 211 1
## 212 0
## 213 0
## 214 1
## 215 1
## 216 1
## 217 0
## 218 1
## 219 0
## 220 0
## 221 0
## 222 0
## 223 1
## 224 1
## 225 1
## 226 1
## 227 0
## 228 1
## 229 1
## 230 0
## 231 0
## 232 1
## 233 0
## 234 1
## 235 1
## 236 1
## 237 0
## 238 0
## 239 0
## 240 0
## 241 1
## 242 0
## 243 1
## 244 0
## 245 1
## 246 1
## 247 0
## 248 0
## 249 1
## 250 1
## 251 0
## 252 1
## 253 0
## 254 0
## 255 0
## 256 1
## 257 1
## 258 1
## 259 0
## 260 1
## 261 1
## 262 1
## 263 1
## 264 1
## 265 0
## 266 1
## 267 0
## 268 0
## 269 0
## 270 1
## 271 1
## 272 1
## 273 1
## 274 0
## 275 1
## 276 0
## 277 1
## 278 1
## 279 0
## 280 1
## 281 1
## 282 1
## 283 1
## 284 1
## 285 0
## 286 1
## 287 1
## 288 1
## 289 1
## 290 0
## 291 1
## 292 0
## 293 1
## 294 1
## 295 0
## 296 0
## 297 0
## 298 0
## 299 1
## 300 1
## 301 1
## 302 1
## 303 1
## 304 0
## 305 1
## 306 0
## 307 1
## 308 1
## 309 0
## 310 1
## 311 0
## 312 0
## 313 0
## 314 1
## 315 1
## 316 1
## 317 1
## 318 1
## 319 0
## 320 1
## 321 1
## 322 1
## 323 0
## 324 0
## 325 1
## 326 1
## 327 0
## 328 0
## 329 0
## 330 1
## 331 1
## 332 0
## 333 1
## 334 1
## 335 0
## 336 0
## 337 1
## 338 1
## 339 0
## 340 0
## 341 1
## 342 1
## 343 1
## 344 1
## 345 1
## 346 0
## 347 0
## 348 1
## 349 0
## 350 0
## 351 1
## 352 0
## 353 0
## 354 1
## 355 0
## 356 1
## 357 0
## 358 0
## 359 0
## 360 1
## 361 1
## 362 1
## 363 1
## 364 1
## 365 0
## 366 1
## 367 0
## 368 0
## 369 1
## 370 1
## 371 0
## 372 0
## 373 1
## 374 0
## 375 1
## 376 1
## 377 1
## 378 1
## 379 0
## 380 1
## 381 0
## 382 0
## 383 0
## 384 0
## 385 0
## 386 1
## 387 1
## 388 0
## 389 0
## 390 1
## 391 0
## 392 0
## 393 1
## 394 0
## 395 0
## 396 1
## 397 0
## 398 0
## 399 1
## 400 1
## 401 0
## 402 1
## 403 1
## 404 1
## 405 0
## 406 0
## 407 1
## 408 0
## 409 1
## 410 0
## 411 1
## 412 0
## 413 0
## 414 0
## 415 0
## 416 1
## 417 1
## 418 1
## 419 1
## 420 1
## 421 1
## 422 1
## 423 1
## 424 0
## 425 0
## 426 0
## 427 1
## 428 1
## 429 0
## 430 0
## 431 0
## 432 0
## 433 1
## 434 1
## 435 1
## 436 1
## 437 0
## 438 0
## 439 1
## 440 0
## 441 0
## 442 0
## 443 0
## 444 1
## 445 1
## 446 1
## 447 1
## 448 0
## 449 1
## 450 0
## 451 0
## 452 1
## 453 0
## 454 1
## 455 0
## 456 1
## 457 0
## 458 1
## 459 1
## 460 1
## 461 0
## 462 1
## 463 1
## 464 1
## 465 1
## 466 1
## 467 1
## 468 0
## 469 1
## 470 0
## 471 1
## 472 1
## 473 1
## 474 1
## 475 0
## 476 1
## 477 0
## 478 0
## 479 1
## 480 0
## 481 0
## 482 0
## 483 0
## 484 1
## 485 0
## 486 0
## 487 0
## 488 0
## 489 1
## 490 1
## 491 1
## 492 1
## 493 0
## 494 0
## 495 1
## 496 1
## 497 0
## 498 0
## 499 1
## 500 1
## 501 1
## 502 1
## 503 1
## 504 1
## 505 0
## 506 1
## 507 0
## 508 1
## 509 0
## 510 0
## 511 1
## 512 0
## 513 0
## 514 0
## 515 1
## 516 0
## 517 0
## 518 1
## 519 0
## 520 0
## 521 0
## 522 1
## 523 1
## 524 0
## 525 0
## 526 1
## 527 0
## 528 1
## 529 1
## 530 1
## 531 0
## 532 1
## 533 0
## 534 1
## 535 1
## 536 1
## 537 1
## 538 1
## 539 0
## 540 1
## 541 0
## 542 1
## 543 1
## 544 0
## 545 1
## 546 0
## 547 0
## 548 1
## 549 1
## 550 1
## 551 0
## 552 0
## 553 0
## 554 1
## 555 0
## 556 0
## 557 0
## 558 1
## 559 1
## 560 0
## 561 1
## 562 1
## 563 1
## 564 0
## 565 0
## 566 1
## 567 1
## 568 1
## 569 1
## 570 1
## 571 1
## 572 0
## 573 1
## 574 0
## 575 0
## 576 1
## 577 1
## 578 0
## 579 1
## 580 0
## 581 1
## 582 1
## 583 1
## 584 0
## 585 0
## 586 1
## 587 0
## 588 0
## 589 0
## 590 0
## 591 1
## 592 0
## 593 0
## 594 0
## 595 0
## 596 0
## 597 1
## 598 1
## 599 0
## 600 1
## 601 0
## 602 0
## 603 1
## 604 1
## 605 1
## 606 1
## 607 0
## 608 0
## 609 0
## 610 0
## 611 0
## 612 0
## 613 0
## 614 0
## 615 0
## 616 1
## 617 1
## 618 1
## 619 1
## 620 0
## 621 0
## 622 0
## 623 0
## 624 0
## 625 1
## 626 0
## 627 0
## 628 0
## 629 1
## 630 0
## 631 0
## 632 1
## 633 1
## 634 0
## 635 0
## 636 1
## 637 0
## 638 1
## 639 0
## 640 1
## 641 1
## 642 0
## 643 1
## 644 1
## 645 1
## 646 0
## 647 0
## 648 1
## 649 1
## 650 1
## 651 0
## 652 1
## 653 1
## 654 0
## 655 1
## 656 1
## 657 0
## 658 1
## 659 0
## 660 1
## 661 0
## 662 0
## 663 1
## 664 1
## 665 1
## 666 1
## 667 1
## 668 0
## 669 1
## 670 0
## 671 0
## 672 0
## 673 1
## 674 1
## 675 0
## 676 0
## 677 0
## 678 0
## 679 1
## 680 0
## 681 1
## 682 0
## 683 0
## 684 0
## 685 0
## 686 0
## 687 0
## 688 0
## 689 0
## 690 1
## 691 1
## 692 1
## 693 0
## 694 1
## 695 0
## 696 0
## 697 1
## 698 0
## 699 0
## 700 0
## 701 1
## 702 0
## 703 1
## 704 1
## 705 1
## 706 0
## 707 0
## 708 1
## 709 1
## 710 0
## 711 1
## 712 0
## 713 1
## 714 1
## 715 1
## 716 1
## 717 0
## 718 0
## 719 1
## 720 1
## 721 0
## 722 1
## 723 1
## 724 1
## 725 1
## 726 0
## 727 0
## 728 1
## 729 0
## 730 1
## 731 1
## 732 0
## 733 1
## 734 1
## 735 0
## 736 1
## 737 0
## 738 0
## 739 0
## 740 0
## 741 1
## 742 1
## 743 0
## 744 1
## 745 1
## 746 1
## 747 0
## 748 0
## 749 1
## 750 1
## 751 1
## 752 1
## 753 1
## 754 1
## 755 1
## 756 1
## 757 0
## 758 1
## 759 1
## 760 0
## 761 0
## 762 1
## 763 1
## 764 1
## 765 0
## 766 0
## 767 0
## 768 0
## 769 1
## 770 1
## 771 1
## 772 1
## 773 0
## 774 0
## 775 1
## 776 1
## 777 0
## 778 0
## 779 0
## 780 1
## 781 0
## 782 0
## 783 1
## 784 1
## 785 1
## 786 0
## 787 0
## 788 0
## 789 0
## 790 0
## 791 0
## 792 0
## 793 0
## 794 1
## 795 0
## 796 1
## 797 1
## 798 0
## 799 0
## 800 1
## 801 0
## 802 1
## 803 0
## 804 0
## 805 1
## 806 1
## 807 0
## 808 1
## 809 1
## 810 1
## 811 0
## 812 0
## 813 0
## 814 0
## 815 1
## 816 1
## 817 1
## 818 1
## 819 1
## 820 0
## 821 0
## 822 0
## 823 0
## 824 1
## 825 0
## 826 1
## 827 1
## 828 0
## 829 1
## 830 0
## 831 1
## 832 1
## 833 1
## 834 0
## 835 0
## 836 0
## 837 1
## 838 1
## 839 1
## 840 1
## 841 0
## 842 1
## 843 0
## 844 0
## 845 0
## 846 0
## 847 1
## 848 0
## 849 1
## 850 0
## 851 0
## 852 1
## 853 0
## 854 0
## 855 0
## 856 1
## 857 1
## 858 1
## 859 1
## 860 0
## 861 0
## 862 0
## 863 0
## 864 0
## 865 0
## 866 1
## 867 1
## 868 1
## 869 1
## 870 1
## 871 1
## 872 1
## 873 1
## 874 1
## 875 0
## 876 0
## 877 0
## 878 1
## 879 0
## 880 1
## 881 1
## 882 0
## 883 0
## 884 0
## 885 0
## 886 0
## 887 0
## 888 1
## 889 0
## 890 0
## 891 0
## 892 1
## 893 0
## 894 0
## 895 0
## 896 0
## 897 1
## 898 1
## 899 1
## 900 1
## 901 0
## 902 1
## 903 0
## 904 0
## 905 1
## 906 0
## 907 1
## 908 1
## 909 0
## 910 0
## 911 0
## 912 0
## 913 0
## 914 1
## 915 0
## 916 0
## 917 0
## 918 1
## 919 0
## 920 0
## 921 0
## 922 0
## 923 1
## 924 1
## 925 0
## 926 0
## 927 0
## 928 1
## 929 0
## 930 0
## 931 0
## 932 0
## 933 1
## 934 0
## 935 1
## 936 1
## 937 1
## 938 0
## 939 1
## 940 1
## 941 0
## 942 1
## 943 1
## 944 1
## 945 0
## 946 1
## 947 1
## 948 1
## 949 0
## 950 1
## 951 0
## 952 0
## 953 1
## 954 1
## 955 1
## 956 1
## 957 1
## 958 0
## 959 1
## 960 1
## 961 1
## 962 1
## 963 1
## 964 0
## 965 1
## 966 1
## 967 0
## 968 1
## 969 0
## 970 1
## 971 1
## 972 1
## 973 1
## 974 1
## 975 1
## 976 0
## 977 0
## 978 1
## 979 0
## 980 0
## 981 1
## 982 0
## 983 1
## 984 1
## 985 1
## 986 1
## 987 0
## 988 0
## 989 0
## 990 1
## 991 1
## 992 0
## 993 1
## 994 0
## 995 0
## 996 1
## 997 0
## 998 0
## 999 0
## 1000 0
## 1001 0
## 1002 1
## 1003 0
## 1004 1
## 1005 1
## 1006 0
## 1007 1
## 1008 1
## 1009 1
## 1010 0
## 1011 0
## 1012 1
## 1013 0
## 1014 0
## 1015 1
## 1016 0
## 1017 0
## 1018 0
## 1019 0
## 1020 1
## 1021 1
## 1022 0
## 1023 0
## 1024 1
## 1025 0take a quick view of the data
View(heart_attack)NOW, we’ll follow the steps for pre-processing for this we’ll check for missing values there are no missing values in this data set but to make sure we’ll use the function of sum()
is.na(heart_attack)## age sex cp trestbps chol fbs restecg thalach exang oldpeak
## [1,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [2,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [3,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [4,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [5,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [6,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [7,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [8,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [9,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [10,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [11,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [12,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [13,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [15,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [16,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [17,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [18,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [19,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [20,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [21,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [22,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [23,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [24,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [25,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [26,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [27,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [30,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [31,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [32,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [33,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [35,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [36,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [37,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [40,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [41,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [42,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [45,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [46,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [47,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [49,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [50,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [51,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [52,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [53,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [54,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [55,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [56,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [57,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [58,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [59,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [60,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [61,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [62,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [63,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [64,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [65,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [66,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [67,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [68,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [69,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [70,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [71,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [72,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [73,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [74,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [75,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [76,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [77,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [78,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [79,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [80,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [81,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [82,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [83,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [84,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [85,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [86,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [87,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [88,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [89,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [90,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [91,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [92,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [93,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [94,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [95,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [96,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [97,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [98,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [99,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [100,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [101,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [102,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [103,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [104,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [105,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [106,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [107,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [108,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [109,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [110,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [111,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [112,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [113,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [114,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [115,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [116,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [117,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [118,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [119,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [120,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [121,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [122,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [123,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [124,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [125,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [126,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [127,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [128,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [129,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [130,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [131,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [132,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [133,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [134,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [135,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [136,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [137,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [138,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [139,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [140,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [141,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [142,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [143,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [144,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [145,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [146,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [147,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [148,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [149,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [150,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [151,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [152,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [153,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [154,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [155,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [156,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [157,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [158,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [159,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [160,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [161,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [162,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [163,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [164,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [165,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [166,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [167,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [168,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [169,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [170,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [171,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [172,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [173,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [174,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [175,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [176,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [177,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [178,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [179,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [180,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [181,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [182,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [183,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [184,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [185,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [186,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [187,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [188,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [189,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [190,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [191,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [192,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [193,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [194,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [195,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [196,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [197,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [198,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [199,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [200,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [201,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [202,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [203,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [204,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [205,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [206,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [207,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [208,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [209,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [210,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [211,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [212,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [213,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [214,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [215,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [216,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [217,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [218,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [219,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [220,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [221,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [222,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [223,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [224,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [225,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [226,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [227,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [228,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [229,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [230,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [231,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [232,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [233,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [234,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [235,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [236,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [237,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [238,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [239,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [240,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [241,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [242,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [243,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [244,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [245,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [246,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [247,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [248,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [249,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [250,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [251,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [252,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [253,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [254,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [255,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [256,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [257,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [258,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [259,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [260,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [261,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [262,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [263,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [264,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [265,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [266,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [267,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [268,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [269,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [270,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [271,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [272,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [273,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [274,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [275,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [276,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [277,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [278,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [279,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [280,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [281,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [282,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [283,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [284,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [285,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [286,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [287,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [288,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [289,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [290,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [291,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [292,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [293,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [294,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [295,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [296,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [297,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [298,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [299,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [300,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [301,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [302,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [303,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [304,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [305,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [306,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [307,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [308,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [309,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [310,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [311,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [312,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [313,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [314,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [315,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [316,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [317,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [318,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [319,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [320,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [321,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [322,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [323,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [324,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [325,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [326,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [327,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [328,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [329,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [330,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [331,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [332,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [333,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [334,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [335,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [336,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [337,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [338,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [339,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [340,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [341,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [342,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [343,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [344,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [345,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [346,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [347,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [348,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [349,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [350,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [351,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [352,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [353,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [354,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [355,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [356,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [357,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [358,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [359,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [360,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [361,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [362,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [363,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [364,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [365,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [366,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [367,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [368,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [369,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [370,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [371,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [372,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [373,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [374,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [375,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [376,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [377,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [378,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [379,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [380,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [381,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [382,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [383,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [384,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [385,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [386,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [387,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [388,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [389,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [390,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [391,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [392,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [393,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [394,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [395,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [396,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [397,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [398,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [399,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [400,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [401,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [402,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [403,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [404,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [405,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [406,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [407,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [408,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [409,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [410,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [411,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [412,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [413,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [414,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [415,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [416,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [417,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [418,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [419,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [420,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [421,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [422,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [423,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [424,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [425,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [426,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [427,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [428,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [429,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [430,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [431,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [432,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [433,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [434,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [435,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [436,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [437,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [438,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [439,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [440,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [441,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [442,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [443,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [444,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [445,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [446,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [447,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [448,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [449,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [450,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [451,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [452,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [453,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [454,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [455,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [456,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [457,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [458,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [459,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [460,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [461,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [462,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [463,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [464,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [465,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [466,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [467,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [468,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [469,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [470,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [471,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [472,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [473,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [474,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [475,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [476,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [477,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [478,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [479,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [480,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [481,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [482,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [483,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [484,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [485,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [486,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [487,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [488,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [489,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [490,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [491,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [492,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [493,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [494,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [495,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [496,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [497,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [498,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [499,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [500,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [501,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [502,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [503,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [504,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [505,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [506,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [507,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [508,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [509,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [510,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [511,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [512,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [513,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [514,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [515,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [516,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [517,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [518,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [519,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [520,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [521,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [522,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [523,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [524,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [525,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [526,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [527,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [528,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [529,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [530,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [531,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [532,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [533,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [534,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [535,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [536,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [537,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [538,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [539,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [540,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [541,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [542,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [543,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [544,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [545,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [546,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [547,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [548,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [549,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [550,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [551,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [552,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [553,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [554,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [555,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [556,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [557,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [558,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [559,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [560,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [561,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [562,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [563,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [564,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [565,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [566,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [567,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [568,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [569,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [570,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [571,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [572,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [573,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [574,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [575,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [576,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [577,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [578,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [579,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [580,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [581,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [582,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [583,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [584,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [585,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [586,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [587,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [588,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [589,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [590,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [591,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [592,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [593,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [594,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [595,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [596,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [597,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [598,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [599,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [600,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [601,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [602,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [603,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [604,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [605,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [606,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [607,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [608,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [609,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [610,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [611,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [612,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [613,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [614,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [615,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [616,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [617,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [618,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [619,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [620,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [621,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [622,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [623,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [624,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [625,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [626,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [627,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [628,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [629,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [630,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [631,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [632,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [633,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [634,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [635,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [636,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [637,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [638,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [639,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [640,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [641,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [642,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [643,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [644,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [645,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [646,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [647,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [648,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [649,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [650,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [651,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [652,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [653,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [654,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [655,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [656,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [657,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [658,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [659,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [660,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [661,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [662,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [663,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [664,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [665,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [666,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [667,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [668,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [669,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [670,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [671,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [672,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [673,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [674,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [675,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [676,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [677,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [678,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [679,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [680,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [681,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [682,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [683,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [684,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [685,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [686,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [687,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [688,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [689,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [690,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [691,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [692,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [693,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [694,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [695,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [696,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [697,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [698,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [699,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [700,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [701,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [702,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [703,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [704,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [705,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [706,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [707,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [708,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [709,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [710,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [711,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [712,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [713,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [714,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [715,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [716,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [717,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [718,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [719,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [720,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [721,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [722,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [723,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [724,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [725,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [726,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [727,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [728,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [729,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [730,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [731,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [732,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [733,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [734,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [735,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [736,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [737,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [738,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [739,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [740,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [741,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [742,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [743,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [744,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [745,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [746,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [747,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [748,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [749,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [750,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [751,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [752,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [753,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [754,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [755,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [756,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [757,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [758,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [759,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [760,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [761,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [762,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [763,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [764,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [765,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [766,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [767,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [768,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [769,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [770,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [771,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [772,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [773,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [774,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [775,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [776,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [777,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [778,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [779,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [780,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [781,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [782,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [783,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [784,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [785,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [786,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [787,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [788,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [789,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [790,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [791,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [792,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [793,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [794,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [795,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [796,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [797,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [798,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [799,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [800,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [801,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [802,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [803,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [804,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [805,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [806,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [807,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [808,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [809,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [810,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [811,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [812,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [813,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [814,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [815,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [816,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [817,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [818,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [819,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [820,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [821,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [822,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [823,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [824,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [825,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [826,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [827,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [828,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [829,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [830,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [831,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [832,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [833,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [834,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [835,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [836,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [837,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [838,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [839,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [840,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [841,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [842,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [843,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [844,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [845,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [846,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [847,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [848,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [849,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [850,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [851,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [852,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [853,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [854,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [855,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [856,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [857,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [858,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [859,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [860,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [861,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [862,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [863,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [864,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [865,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [866,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [867,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [868,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [869,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [870,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [871,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [872,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [873,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [874,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [875,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [876,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [877,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [878,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [879,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [880,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [881,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [882,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [883,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [884,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [885,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [886,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [887,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [888,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [889,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [890,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [891,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [892,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [893,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [894,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [895,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [896,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [897,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [898,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [899,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [900,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [901,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [902,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [903,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [904,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [905,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [906,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [907,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [908,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [909,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [910,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [911,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [912,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [913,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [914,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [915,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [916,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [917,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [918,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [919,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [920,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [921,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [922,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [923,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [924,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [925,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [926,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [927,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [928,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [929,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [930,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [931,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [932,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [933,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [934,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [935,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [936,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [937,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [938,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [939,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [940,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [941,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [942,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [943,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [944,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [945,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [946,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [947,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [948,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [949,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [950,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [951,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [952,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [953,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [954,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [955,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [956,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [957,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [958,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [959,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [960,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [961,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [962,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [963,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [964,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [965,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [966,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [967,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [968,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [969,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [970,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [971,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [972,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [973,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [974,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [975,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [976,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [977,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [978,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [979,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [980,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [981,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [982,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [983,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [984,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [985,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [986,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [987,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [988,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [989,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [990,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [991,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [992,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [993,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [994,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [995,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [996,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [997,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [998,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [999,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1000,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1001,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1002,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1003,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1004,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1005,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1006,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1007,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1008,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1009,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1010,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1011,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1012,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1013,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1014,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1015,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1016,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1017,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1018,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1019,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1020,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1021,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1022,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1023,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1024,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1025,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## slope ca thal target
## [1,] FALSE FALSE FALSE FALSE
## [2,] FALSE FALSE FALSE FALSE
## [3,] FALSE FALSE FALSE FALSE
## [4,] FALSE FALSE FALSE FALSE
## [5,] FALSE FALSE FALSE FALSE
## [6,] FALSE FALSE FALSE FALSE
## [7,] FALSE FALSE FALSE FALSE
## [8,] FALSE FALSE FALSE FALSE
## [9,] FALSE FALSE FALSE FALSE
## [10,] FALSE FALSE FALSE FALSE
## [11,] FALSE FALSE FALSE FALSE
## [12,] FALSE FALSE FALSE FALSE
## [13,] FALSE FALSE FALSE FALSE
## [14,] FALSE FALSE FALSE FALSE
## [15,] FALSE FALSE FALSE FALSE
## [16,] FALSE FALSE FALSE FALSE
## [17,] FALSE FALSE FALSE FALSE
## [18,] FALSE FALSE FALSE FALSE
## [19,] FALSE FALSE FALSE FALSE
## [20,] FALSE FALSE FALSE FALSE
## [21,] FALSE FALSE FALSE FALSE
## [22,] FALSE FALSE FALSE FALSE
## [23,] FALSE FALSE FALSE FALSE
## [24,] FALSE FALSE FALSE FALSE
## [25,] FALSE FALSE FALSE FALSE
## [26,] FALSE FALSE FALSE FALSE
## [27,] FALSE FALSE FALSE FALSE
## [28,] FALSE FALSE FALSE FALSE
## [29,] FALSE FALSE FALSE FALSE
## [30,] FALSE FALSE FALSE FALSE
## [31,] FALSE FALSE FALSE FALSE
## [32,] FALSE FALSE FALSE FALSE
## [33,] FALSE FALSE FALSE FALSE
## [34,] FALSE FALSE FALSE FALSE
## [35,] FALSE FALSE FALSE FALSE
## [36,] FALSE FALSE FALSE FALSE
## [37,] FALSE FALSE FALSE FALSE
## [38,] FALSE FALSE FALSE FALSE
## [39,] FALSE FALSE FALSE FALSE
## [40,] FALSE FALSE FALSE FALSE
## [41,] FALSE FALSE FALSE FALSE
## [42,] FALSE FALSE FALSE FALSE
## [43,] FALSE FALSE FALSE FALSE
## [44,] FALSE FALSE FALSE FALSE
## [45,] FALSE FALSE FALSE FALSE
## [46,] FALSE FALSE FALSE FALSE
## [47,] FALSE FALSE FALSE FALSE
## [48,] FALSE FALSE FALSE FALSE
## [49,] FALSE FALSE FALSE FALSE
## [50,] FALSE FALSE FALSE FALSE
## [51,] FALSE FALSE FALSE FALSE
## [52,] FALSE FALSE FALSE FALSE
## [53,] FALSE FALSE FALSE FALSE
## [54,] FALSE FALSE FALSE FALSE
## [55,] FALSE FALSE FALSE FALSE
## [56,] FALSE FALSE FALSE FALSE
## [57,] FALSE FALSE FALSE FALSE
## [58,] FALSE FALSE FALSE FALSE
## [59,] FALSE FALSE FALSE FALSE
## [60,] FALSE FALSE FALSE FALSE
## [61,] FALSE FALSE FALSE FALSE
## [62,] FALSE FALSE FALSE FALSE
## [63,] FALSE FALSE FALSE FALSE
## [64,] FALSE FALSE FALSE FALSE
## [65,] FALSE FALSE FALSE FALSE
## [66,] FALSE FALSE FALSE FALSE
## [67,] FALSE FALSE FALSE FALSE
## [68,] FALSE FALSE FALSE FALSE
## [69,] FALSE FALSE FALSE FALSE
## [70,] FALSE FALSE FALSE FALSE
## [71,] FALSE FALSE FALSE FALSE
## [72,] FALSE FALSE FALSE FALSE
## [73,] FALSE FALSE FALSE FALSE
## [74,] FALSE FALSE FALSE FALSE
## [75,] FALSE FALSE FALSE FALSE
## [76,] FALSE FALSE FALSE FALSE
## [77,] FALSE FALSE FALSE FALSE
## [78,] FALSE FALSE FALSE FALSE
## [79,] FALSE FALSE FALSE FALSE
## [80,] FALSE FALSE FALSE FALSE
## [81,] FALSE FALSE FALSE FALSE
## [82,] FALSE FALSE FALSE FALSE
## [83,] FALSE FALSE FALSE FALSE
## [84,] FALSE FALSE FALSE FALSE
## [85,] FALSE FALSE FALSE FALSE
## [86,] FALSE FALSE FALSE FALSE
## [87,] FALSE FALSE FALSE FALSE
## [88,] FALSE FALSE FALSE FALSE
## [89,] FALSE FALSE FALSE FALSE
## [90,] FALSE FALSE FALSE FALSE
## [91,] FALSE FALSE FALSE FALSE
## [92,] FALSE FALSE FALSE FALSE
## [93,] FALSE FALSE FALSE FALSE
## [94,] FALSE FALSE FALSE FALSE
## [95,] FALSE FALSE FALSE FALSE
## [96,] FALSE FALSE FALSE FALSE
## [97,] FALSE FALSE FALSE FALSE
## [98,] FALSE FALSE FALSE FALSE
## [99,] FALSE FALSE FALSE FALSE
## [100,] FALSE FALSE FALSE FALSE
## [101,] FALSE FALSE FALSE FALSE
## [102,] FALSE FALSE FALSE FALSE
## [103,] FALSE FALSE FALSE FALSE
## [104,] FALSE FALSE FALSE FALSE
## [105,] FALSE FALSE FALSE FALSE
## [106,] FALSE FALSE FALSE FALSE
## [107,] FALSE FALSE FALSE FALSE
## [108,] FALSE FALSE FALSE FALSE
## [109,] FALSE FALSE FALSE FALSE
## [110,] FALSE FALSE FALSE FALSE
## [111,] FALSE FALSE FALSE FALSE
## [112,] FALSE FALSE FALSE FALSE
## [113,] FALSE FALSE FALSE FALSE
## [114,] FALSE FALSE FALSE FALSE
## [115,] FALSE FALSE FALSE FALSE
## [116,] FALSE FALSE FALSE FALSE
## [117,] FALSE FALSE FALSE FALSE
## [118,] FALSE FALSE FALSE FALSE
## [119,] FALSE FALSE FALSE FALSE
## [120,] FALSE FALSE FALSE FALSE
## [121,] FALSE FALSE FALSE FALSE
## [122,] FALSE FALSE FALSE FALSE
## [123,] FALSE FALSE FALSE FALSE
## [124,] FALSE FALSE FALSE FALSE
## [125,] FALSE FALSE FALSE FALSE
## [126,] FALSE FALSE FALSE FALSE
## [127,] FALSE FALSE FALSE FALSE
## [128,] FALSE FALSE FALSE FALSE
## [129,] FALSE FALSE FALSE FALSE
## [130,] FALSE FALSE FALSE FALSE
## [131,] FALSE FALSE FALSE FALSE
## [132,] FALSE FALSE FALSE FALSE
## [133,] FALSE FALSE FALSE FALSE
## [134,] FALSE FALSE FALSE FALSE
## [135,] FALSE FALSE FALSE FALSE
## [136,] FALSE FALSE FALSE FALSE
## [137,] FALSE FALSE FALSE FALSE
## [138,] FALSE FALSE FALSE FALSE
## [139,] FALSE FALSE FALSE FALSE
## [140,] FALSE FALSE FALSE FALSE
## [141,] FALSE FALSE FALSE FALSE
## [142,] FALSE FALSE FALSE FALSE
## [143,] FALSE FALSE FALSE FALSE
## [144,] FALSE FALSE FALSE FALSE
## [145,] FALSE FALSE FALSE FALSE
## [146,] FALSE FALSE FALSE FALSE
## [147,] FALSE FALSE FALSE FALSE
## [148,] FALSE FALSE FALSE FALSE
## [149,] FALSE FALSE FALSE FALSE
## [150,] FALSE FALSE FALSE FALSE
## [151,] FALSE FALSE FALSE FALSE
## [152,] FALSE FALSE FALSE FALSE
## [153,] FALSE FALSE FALSE FALSE
## [154,] FALSE FALSE FALSE FALSE
## [155,] FALSE FALSE FALSE FALSE
## [156,] FALSE FALSE FALSE FALSE
## [157,] FALSE FALSE FALSE FALSE
## [158,] FALSE FALSE FALSE FALSE
## [159,] FALSE FALSE FALSE FALSE
## [160,] FALSE FALSE FALSE FALSE
## [161,] FALSE FALSE FALSE FALSE
## [162,] FALSE FALSE FALSE FALSE
## [163,] FALSE FALSE FALSE FALSE
## [164,] FALSE FALSE FALSE FALSE
## [165,] FALSE FALSE FALSE FALSE
## [166,] FALSE FALSE FALSE FALSE
## [167,] FALSE FALSE FALSE FALSE
## [168,] FALSE FALSE FALSE FALSE
## [169,] FALSE FALSE FALSE FALSE
## [170,] FALSE FALSE FALSE FALSE
## [171,] FALSE FALSE FALSE FALSE
## [172,] FALSE FALSE FALSE FALSE
## [173,] FALSE FALSE FALSE FALSE
## [174,] FALSE FALSE FALSE FALSE
## [175,] FALSE FALSE FALSE FALSE
## [176,] FALSE FALSE FALSE FALSE
## [177,] FALSE FALSE FALSE FALSE
## [178,] FALSE FALSE FALSE FALSE
## [179,] FALSE FALSE FALSE FALSE
## [180,] FALSE FALSE FALSE FALSE
## [181,] FALSE FALSE FALSE FALSE
## [182,] FALSE FALSE FALSE FALSE
## [183,] FALSE FALSE FALSE FALSE
## [184,] FALSE FALSE FALSE FALSE
## [185,] FALSE FALSE FALSE FALSE
## [186,] FALSE FALSE FALSE FALSE
## [187,] FALSE FALSE FALSE FALSE
## [188,] FALSE FALSE FALSE FALSE
## [189,] FALSE FALSE FALSE FALSE
## [190,] FALSE FALSE FALSE FALSE
## [191,] FALSE FALSE FALSE FALSE
## [192,] FALSE FALSE FALSE FALSE
## [193,] FALSE FALSE FALSE FALSE
## [194,] FALSE FALSE FALSE FALSE
## [195,] FALSE FALSE FALSE FALSE
## [196,] FALSE FALSE FALSE FALSE
## [197,] FALSE FALSE FALSE FALSE
## [198,] FALSE FALSE FALSE FALSE
## [199,] FALSE FALSE FALSE FALSE
## [200,] FALSE FALSE FALSE FALSE
## [201,] FALSE FALSE FALSE FALSE
## [202,] FALSE FALSE FALSE FALSE
## [203,] FALSE FALSE FALSE FALSE
## [204,] FALSE FALSE FALSE FALSE
## [205,] FALSE FALSE FALSE FALSE
## [206,] FALSE FALSE FALSE FALSE
## [207,] FALSE FALSE FALSE FALSE
## [208,] FALSE FALSE FALSE FALSE
## [209,] FALSE FALSE FALSE FALSE
## [210,] FALSE FALSE FALSE FALSE
## [211,] FALSE FALSE FALSE FALSE
## [212,] FALSE FALSE FALSE FALSE
## [213,] FALSE FALSE FALSE FALSE
## [214,] FALSE FALSE FALSE FALSE
## [215,] FALSE FALSE FALSE FALSE
## [216,] FALSE FALSE FALSE FALSE
## [217,] FALSE FALSE FALSE FALSE
## [218,] FALSE FALSE FALSE FALSE
## [219,] FALSE FALSE FALSE FALSE
## [220,] FALSE FALSE FALSE FALSE
## [221,] FALSE FALSE FALSE FALSE
## [222,] FALSE FALSE FALSE FALSE
## [223,] FALSE FALSE FALSE FALSE
## [224,] FALSE FALSE FALSE FALSE
## [225,] FALSE FALSE FALSE FALSE
## [226,] FALSE FALSE FALSE FALSE
## [227,] FALSE FALSE FALSE FALSE
## [228,] FALSE FALSE FALSE FALSE
## [229,] FALSE FALSE FALSE FALSE
## [230,] FALSE FALSE FALSE FALSE
## [231,] FALSE FALSE FALSE FALSE
## [232,] FALSE FALSE FALSE FALSE
## [233,] FALSE FALSE FALSE FALSE
## [234,] FALSE FALSE FALSE FALSE
## [235,] FALSE FALSE FALSE FALSE
## [236,] FALSE FALSE FALSE FALSE
## [237,] FALSE FALSE FALSE FALSE
## [238,] FALSE FALSE FALSE FALSE
## [239,] FALSE FALSE FALSE FALSE
## [240,] FALSE FALSE FALSE FALSE
## [241,] FALSE FALSE FALSE FALSE
## [242,] FALSE FALSE FALSE FALSE
## [243,] FALSE FALSE FALSE FALSE
## [244,] FALSE FALSE FALSE FALSE
## [245,] FALSE FALSE FALSE FALSE
## [246,] FALSE FALSE FALSE FALSE
## [247,] FALSE FALSE FALSE FALSE
## [248,] FALSE FALSE FALSE FALSE
## [249,] FALSE FALSE FALSE FALSE
## [250,] FALSE FALSE FALSE FALSE
## [251,] FALSE FALSE FALSE FALSE
## [252,] FALSE FALSE FALSE FALSE
## [253,] FALSE FALSE FALSE FALSE
## [254,] FALSE FALSE FALSE FALSE
## [255,] FALSE FALSE FALSE FALSE
## [256,] FALSE FALSE FALSE FALSE
## [257,] FALSE FALSE FALSE FALSE
## [258,] FALSE FALSE FALSE FALSE
## [259,] FALSE FALSE FALSE FALSE
## [260,] FALSE FALSE FALSE FALSE
## [261,] FALSE FALSE FALSE FALSE
## [262,] FALSE FALSE FALSE FALSE
## [263,] FALSE FALSE FALSE FALSE
## [264,] FALSE FALSE FALSE FALSE
## [265,] FALSE FALSE FALSE FALSE
## [266,] FALSE FALSE FALSE FALSE
## [267,] FALSE FALSE FALSE FALSE
## [268,] FALSE FALSE FALSE FALSE
## [269,] FALSE FALSE FALSE FALSE
## [270,] FALSE FALSE FALSE FALSE
## [271,] FALSE FALSE FALSE FALSE
## [272,] FALSE FALSE FALSE FALSE
## [273,] FALSE FALSE FALSE FALSE
## [274,] FALSE FALSE FALSE FALSE
## [275,] FALSE FALSE FALSE FALSE
## [276,] FALSE FALSE FALSE FALSE
## [277,] FALSE FALSE FALSE FALSE
## [278,] FALSE FALSE FALSE FALSE
## [279,] FALSE FALSE FALSE FALSE
## [280,] FALSE FALSE FALSE FALSE
## [281,] FALSE FALSE FALSE FALSE
## [282,] FALSE FALSE FALSE FALSE
## [283,] FALSE FALSE FALSE FALSE
## [284,] FALSE FALSE FALSE FALSE
## [285,] FALSE FALSE FALSE FALSE
## [286,] FALSE FALSE FALSE FALSE
## [287,] FALSE FALSE FALSE FALSE
## [288,] FALSE FALSE FALSE FALSE
## [289,] FALSE FALSE FALSE FALSE
## [290,] FALSE FALSE FALSE FALSE
## [291,] FALSE FALSE FALSE FALSE
## [292,] FALSE FALSE FALSE FALSE
## [293,] FALSE FALSE FALSE FALSE
## [294,] FALSE FALSE FALSE FALSE
## [295,] FALSE FALSE FALSE FALSE
## [296,] FALSE FALSE FALSE FALSE
## [297,] FALSE FALSE FALSE FALSE
## [298,] FALSE FALSE FALSE FALSE
## [299,] FALSE FALSE FALSE FALSE
## [300,] FALSE FALSE FALSE FALSE
## [301,] FALSE FALSE FALSE FALSE
## [302,] FALSE FALSE FALSE FALSE
## [303,] FALSE FALSE FALSE FALSE
## [304,] FALSE FALSE FALSE FALSE
## [305,] FALSE FALSE FALSE FALSE
## [306,] FALSE FALSE FALSE FALSE
## [307,] FALSE FALSE FALSE FALSE
## [308,] FALSE FALSE FALSE FALSE
## [309,] FALSE FALSE FALSE FALSE
## [310,] FALSE FALSE FALSE FALSE
## [311,] FALSE FALSE FALSE FALSE
## [312,] FALSE FALSE FALSE FALSE
## [313,] FALSE FALSE FALSE FALSE
## [314,] FALSE FALSE FALSE FALSE
## [315,] FALSE FALSE FALSE FALSE
## [316,] FALSE FALSE FALSE FALSE
## [317,] FALSE FALSE FALSE FALSE
## [318,] FALSE FALSE FALSE FALSE
## [319,] FALSE FALSE FALSE FALSE
## [320,] FALSE FALSE FALSE FALSE
## [321,] FALSE FALSE FALSE FALSE
## [322,] FALSE FALSE FALSE FALSE
## [323,] FALSE FALSE FALSE FALSE
## [324,] FALSE FALSE FALSE FALSE
## [325,] FALSE FALSE FALSE FALSE
## [326,] FALSE FALSE FALSE FALSE
## [327,] FALSE FALSE FALSE FALSE
## [328,] FALSE FALSE FALSE FALSE
## [329,] FALSE FALSE FALSE FALSE
## [330,] FALSE FALSE FALSE FALSE
## [331,] FALSE FALSE FALSE FALSE
## [332,] FALSE FALSE FALSE FALSE
## [333,] FALSE FALSE FALSE FALSE
## [334,] FALSE FALSE FALSE FALSE
## [335,] FALSE FALSE FALSE FALSE
## [336,] FALSE FALSE FALSE FALSE
## [337,] FALSE FALSE FALSE FALSE
## [338,] FALSE FALSE FALSE FALSE
## [339,] FALSE FALSE FALSE FALSE
## [340,] FALSE FALSE FALSE FALSE
## [341,] FALSE FALSE FALSE FALSE
## [342,] FALSE FALSE FALSE FALSE
## [343,] FALSE FALSE FALSE FALSE
## [344,] FALSE FALSE FALSE FALSE
## [345,] FALSE FALSE FALSE FALSE
## [346,] FALSE FALSE FALSE FALSE
## [347,] FALSE FALSE FALSE FALSE
## [348,] FALSE FALSE FALSE FALSE
## [349,] FALSE FALSE FALSE FALSE
## [350,] FALSE FALSE FALSE FALSE
## [351,] FALSE FALSE FALSE FALSE
## [352,] FALSE FALSE FALSE FALSE
## [353,] FALSE FALSE FALSE FALSE
## [354,] FALSE FALSE FALSE FALSE
## [355,] FALSE FALSE FALSE FALSE
## [356,] FALSE FALSE FALSE FALSE
## [357,] FALSE FALSE FALSE FALSE
## [358,] FALSE FALSE FALSE FALSE
## [359,] FALSE FALSE FALSE FALSE
## [360,] FALSE FALSE FALSE FALSE
## [361,] FALSE FALSE FALSE FALSE
## [362,] FALSE FALSE FALSE FALSE
## [363,] FALSE FALSE FALSE FALSE
## [364,] FALSE FALSE FALSE FALSE
## [365,] FALSE FALSE FALSE FALSE
## [366,] FALSE FALSE FALSE FALSE
## [367,] FALSE FALSE FALSE FALSE
## [368,] FALSE FALSE FALSE FALSE
## [369,] FALSE FALSE FALSE FALSE
## [370,] FALSE FALSE FALSE FALSE
## [371,] FALSE FALSE FALSE FALSE
## [372,] FALSE FALSE FALSE FALSE
## [373,] FALSE FALSE FALSE FALSE
## [374,] FALSE FALSE FALSE FALSE
## [375,] FALSE FALSE FALSE FALSE
## [376,] FALSE FALSE FALSE FALSE
## [377,] FALSE FALSE FALSE FALSE
## [378,] FALSE FALSE FALSE FALSE
## [379,] FALSE FALSE FALSE FALSE
## [380,] FALSE FALSE FALSE FALSE
## [381,] FALSE FALSE FALSE FALSE
## [382,] FALSE FALSE FALSE FALSE
## [383,] FALSE FALSE FALSE FALSE
## [384,] FALSE FALSE FALSE FALSE
## [385,] FALSE FALSE FALSE FALSE
## [386,] FALSE FALSE FALSE FALSE
## [387,] FALSE FALSE FALSE FALSE
## [388,] FALSE FALSE FALSE FALSE
## [389,] FALSE FALSE FALSE FALSE
## [390,] FALSE FALSE FALSE FALSE
## [391,] FALSE FALSE FALSE FALSE
## [392,] FALSE FALSE FALSE FALSE
## [393,] FALSE FALSE FALSE FALSE
## [394,] FALSE FALSE FALSE FALSE
## [395,] FALSE FALSE FALSE FALSE
## [396,] FALSE FALSE FALSE FALSE
## [397,] FALSE FALSE FALSE FALSE
## [398,] FALSE FALSE FALSE FALSE
## [399,] FALSE FALSE FALSE FALSE
## [400,] FALSE FALSE FALSE FALSE
## [401,] FALSE FALSE FALSE FALSE
## [402,] FALSE FALSE FALSE FALSE
## [403,] FALSE FALSE FALSE FALSE
## [404,] FALSE FALSE FALSE FALSE
## [405,] FALSE FALSE FALSE FALSE
## [406,] FALSE FALSE FALSE FALSE
## [407,] FALSE FALSE FALSE FALSE
## [408,] FALSE FALSE FALSE FALSE
## [409,] FALSE FALSE FALSE FALSE
## [410,] FALSE FALSE FALSE FALSE
## [411,] FALSE FALSE FALSE FALSE
## [412,] FALSE FALSE FALSE FALSE
## [413,] FALSE FALSE FALSE FALSE
## [414,] FALSE FALSE FALSE FALSE
## [415,] FALSE FALSE FALSE FALSE
## [416,] FALSE FALSE FALSE FALSE
## [417,] FALSE FALSE FALSE FALSE
## [418,] FALSE FALSE FALSE FALSE
## [419,] FALSE FALSE FALSE FALSE
## [420,] FALSE FALSE FALSE FALSE
## [421,] FALSE FALSE FALSE FALSE
## [422,] FALSE FALSE FALSE FALSE
## [423,] FALSE FALSE FALSE FALSE
## [424,] FALSE FALSE FALSE FALSE
## [425,] FALSE FALSE FALSE FALSE
## [426,] FALSE FALSE FALSE FALSE
## [427,] FALSE FALSE FALSE FALSE
## [428,] FALSE FALSE FALSE FALSE
## [429,] FALSE FALSE FALSE FALSE
## [430,] FALSE FALSE FALSE FALSE
## [431,] FALSE FALSE FALSE FALSE
## [432,] FALSE FALSE FALSE FALSE
## [433,] FALSE FALSE FALSE FALSE
## [434,] FALSE FALSE FALSE FALSE
## [435,] FALSE FALSE FALSE FALSE
## [436,] FALSE FALSE FALSE FALSE
## [437,] FALSE FALSE FALSE FALSE
## [438,] FALSE FALSE FALSE FALSE
## [439,] FALSE FALSE FALSE FALSE
## [440,] FALSE FALSE FALSE FALSE
## [441,] FALSE FALSE FALSE FALSE
## [442,] FALSE FALSE FALSE FALSE
## [443,] FALSE FALSE FALSE FALSE
## [444,] FALSE FALSE FALSE FALSE
## [445,] FALSE FALSE FALSE FALSE
## [446,] FALSE FALSE FALSE FALSE
## [447,] FALSE FALSE FALSE FALSE
## [448,] FALSE FALSE FALSE FALSE
## [449,] FALSE FALSE FALSE FALSE
## [450,] FALSE FALSE FALSE FALSE
## [451,] FALSE FALSE FALSE FALSE
## [452,] FALSE FALSE FALSE FALSE
## [453,] FALSE FALSE FALSE FALSE
## [454,] FALSE FALSE FALSE FALSE
## [455,] FALSE FALSE FALSE FALSE
## [456,] FALSE FALSE FALSE FALSE
## [457,] FALSE FALSE FALSE FALSE
## [458,] FALSE FALSE FALSE FALSE
## [459,] FALSE FALSE FALSE FALSE
## [460,] FALSE FALSE FALSE FALSE
## [461,] FALSE FALSE FALSE FALSE
## [462,] FALSE FALSE FALSE FALSE
## [463,] FALSE FALSE FALSE FALSE
## [464,] FALSE FALSE FALSE FALSE
## [465,] FALSE FALSE FALSE FALSE
## [466,] FALSE FALSE FALSE FALSE
## [467,] FALSE FALSE FALSE FALSE
## [468,] FALSE FALSE FALSE FALSE
## [469,] FALSE FALSE FALSE FALSE
## [470,] FALSE FALSE FALSE FALSE
## [471,] FALSE FALSE FALSE FALSE
## [472,] FALSE FALSE FALSE FALSE
## [473,] FALSE FALSE FALSE FALSE
## [474,] FALSE FALSE FALSE FALSE
## [475,] FALSE FALSE FALSE FALSE
## [476,] FALSE FALSE FALSE FALSE
## [477,] FALSE FALSE FALSE FALSE
## [478,] FALSE FALSE FALSE FALSE
## [479,] FALSE FALSE FALSE FALSE
## [480,] FALSE FALSE FALSE FALSE
## [481,] FALSE FALSE FALSE FALSE
## [482,] FALSE FALSE FALSE FALSE
## [483,] FALSE FALSE FALSE FALSE
## [484,] FALSE FALSE FALSE FALSE
## [485,] FALSE FALSE FALSE FALSE
## [486,] FALSE FALSE FALSE FALSE
## [487,] FALSE FALSE FALSE FALSE
## [488,] FALSE FALSE FALSE FALSE
## [489,] FALSE FALSE FALSE FALSE
## [490,] FALSE FALSE FALSE FALSE
## [491,] FALSE FALSE FALSE FALSE
## [492,] FALSE FALSE FALSE FALSE
## [493,] FALSE FALSE FALSE FALSE
## [494,] FALSE FALSE FALSE FALSE
## [495,] FALSE FALSE FALSE FALSE
## [496,] FALSE FALSE FALSE FALSE
## [497,] FALSE FALSE FALSE FALSE
## [498,] FALSE FALSE FALSE FALSE
## [499,] FALSE FALSE FALSE FALSE
## [500,] FALSE FALSE FALSE FALSE
## [501,] FALSE FALSE FALSE FALSE
## [502,] FALSE FALSE FALSE FALSE
## [503,] FALSE FALSE FALSE FALSE
## [504,] FALSE FALSE FALSE FALSE
## [505,] FALSE FALSE FALSE FALSE
## [506,] FALSE FALSE FALSE FALSE
## [507,] FALSE FALSE FALSE FALSE
## [508,] FALSE FALSE FALSE FALSE
## [509,] FALSE FALSE FALSE FALSE
## [510,] FALSE FALSE FALSE FALSE
## [511,] FALSE FALSE FALSE FALSE
## [512,] FALSE FALSE FALSE FALSE
## [513,] FALSE FALSE FALSE FALSE
## [514,] FALSE FALSE FALSE FALSE
## [515,] FALSE FALSE FALSE FALSE
## [516,] FALSE FALSE FALSE FALSE
## [517,] FALSE FALSE FALSE FALSE
## [518,] FALSE FALSE FALSE FALSE
## [519,] FALSE FALSE FALSE FALSE
## [520,] FALSE FALSE FALSE FALSE
## [521,] FALSE FALSE FALSE FALSE
## [522,] FALSE FALSE FALSE FALSE
## [523,] FALSE FALSE FALSE FALSE
## [524,] FALSE FALSE FALSE FALSE
## [525,] FALSE FALSE FALSE FALSE
## [526,] FALSE FALSE FALSE FALSE
## [527,] FALSE FALSE FALSE FALSE
## [528,] FALSE FALSE FALSE FALSE
## [529,] FALSE FALSE FALSE FALSE
## [530,] FALSE FALSE FALSE FALSE
## [531,] FALSE FALSE FALSE FALSE
## [532,] FALSE FALSE FALSE FALSE
## [533,] FALSE FALSE FALSE FALSE
## [534,] FALSE FALSE FALSE FALSE
## [535,] FALSE FALSE FALSE FALSE
## [536,] FALSE FALSE FALSE FALSE
## [537,] FALSE FALSE FALSE FALSE
## [538,] FALSE FALSE FALSE FALSE
## [539,] FALSE FALSE FALSE FALSE
## [540,] FALSE FALSE FALSE FALSE
## [541,] FALSE FALSE FALSE FALSE
## [542,] FALSE FALSE FALSE FALSE
## [543,] FALSE FALSE FALSE FALSE
## [544,] FALSE FALSE FALSE FALSE
## [545,] FALSE FALSE FALSE FALSE
## [546,] FALSE FALSE FALSE FALSE
## [547,] FALSE FALSE FALSE FALSE
## [548,] FALSE FALSE FALSE FALSE
## [549,] FALSE FALSE FALSE FALSE
## [550,] FALSE FALSE FALSE FALSE
## [551,] FALSE FALSE FALSE FALSE
## [552,] FALSE FALSE FALSE FALSE
## [553,] FALSE FALSE FALSE FALSE
## [554,] FALSE FALSE FALSE FALSE
## [555,] FALSE FALSE FALSE FALSE
## [556,] FALSE FALSE FALSE FALSE
## [557,] FALSE FALSE FALSE FALSE
## [558,] FALSE FALSE FALSE FALSE
## [559,] FALSE FALSE FALSE FALSE
## [560,] FALSE FALSE FALSE FALSE
## [561,] FALSE FALSE FALSE FALSE
## [562,] FALSE FALSE FALSE FALSE
## [563,] FALSE FALSE FALSE FALSE
## [564,] FALSE FALSE FALSE FALSE
## [565,] FALSE FALSE FALSE FALSE
## [566,] FALSE FALSE FALSE FALSE
## [567,] FALSE FALSE FALSE FALSE
## [568,] FALSE FALSE FALSE FALSE
## [569,] FALSE FALSE FALSE FALSE
## [570,] FALSE FALSE FALSE FALSE
## [571,] FALSE FALSE FALSE FALSE
## [572,] FALSE FALSE FALSE FALSE
## [573,] FALSE FALSE FALSE FALSE
## [574,] FALSE FALSE FALSE FALSE
## [575,] FALSE FALSE FALSE FALSE
## [576,] FALSE FALSE FALSE FALSE
## [577,] FALSE FALSE FALSE FALSE
## [578,] FALSE FALSE FALSE FALSE
## [579,] FALSE FALSE FALSE FALSE
## [580,] FALSE FALSE FALSE FALSE
## [581,] FALSE FALSE FALSE FALSE
## [582,] FALSE FALSE FALSE FALSE
## [583,] FALSE FALSE FALSE FALSE
## [584,] FALSE FALSE FALSE FALSE
## [585,] FALSE FALSE FALSE FALSE
## [586,] FALSE FALSE FALSE FALSE
## [587,] FALSE FALSE FALSE FALSE
## [588,] FALSE FALSE FALSE FALSE
## [589,] FALSE FALSE FALSE FALSE
## [590,] FALSE FALSE FALSE FALSE
## [591,] FALSE FALSE FALSE FALSE
## [592,] FALSE FALSE FALSE FALSE
## [593,] FALSE FALSE FALSE FALSE
## [594,] FALSE FALSE FALSE FALSE
## [595,] FALSE FALSE FALSE FALSE
## [596,] FALSE FALSE FALSE FALSE
## [597,] FALSE FALSE FALSE FALSE
## [598,] FALSE FALSE FALSE FALSE
## [599,] FALSE FALSE FALSE FALSE
## [600,] FALSE FALSE FALSE FALSE
## [601,] FALSE FALSE FALSE FALSE
## [602,] FALSE FALSE FALSE FALSE
## [603,] FALSE FALSE FALSE FALSE
## [604,] FALSE FALSE FALSE FALSE
## [605,] FALSE FALSE FALSE FALSE
## [606,] FALSE FALSE FALSE FALSE
## [607,] FALSE FALSE FALSE FALSE
## [608,] FALSE FALSE FALSE FALSE
## [609,] FALSE FALSE FALSE FALSE
## [610,] FALSE FALSE FALSE FALSE
## [611,] FALSE FALSE FALSE FALSE
## [612,] FALSE FALSE FALSE FALSE
## [613,] FALSE FALSE FALSE FALSE
## [614,] FALSE FALSE FALSE FALSE
## [615,] FALSE FALSE FALSE FALSE
## [616,] FALSE FALSE FALSE FALSE
## [617,] FALSE FALSE FALSE FALSE
## [618,] FALSE FALSE FALSE FALSE
## [619,] FALSE FALSE FALSE FALSE
## [620,] FALSE FALSE FALSE FALSE
## [621,] FALSE FALSE FALSE FALSE
## [622,] FALSE FALSE FALSE FALSE
## [623,] FALSE FALSE FALSE FALSE
## [624,] FALSE FALSE FALSE FALSE
## [625,] FALSE FALSE FALSE FALSE
## [626,] FALSE FALSE FALSE FALSE
## [627,] FALSE FALSE FALSE FALSE
## [628,] FALSE FALSE FALSE FALSE
## [629,] FALSE FALSE FALSE FALSE
## [630,] FALSE FALSE FALSE FALSE
## [631,] FALSE FALSE FALSE FALSE
## [632,] FALSE FALSE FALSE FALSE
## [633,] FALSE FALSE FALSE FALSE
## [634,] FALSE FALSE FALSE FALSE
## [635,] FALSE FALSE FALSE FALSE
## [636,] FALSE FALSE FALSE FALSE
## [637,] FALSE FALSE FALSE FALSE
## [638,] FALSE FALSE FALSE FALSE
## [639,] FALSE FALSE FALSE FALSE
## [640,] FALSE FALSE FALSE FALSE
## [641,] FALSE FALSE FALSE FALSE
## [642,] FALSE FALSE FALSE FALSE
## [643,] FALSE FALSE FALSE FALSE
## [644,] FALSE FALSE FALSE FALSE
## [645,] FALSE FALSE FALSE FALSE
## [646,] FALSE FALSE FALSE FALSE
## [647,] FALSE FALSE FALSE FALSE
## [648,] FALSE FALSE FALSE FALSE
## [649,] FALSE FALSE FALSE FALSE
## [650,] FALSE FALSE FALSE FALSE
## [651,] FALSE FALSE FALSE FALSE
## [652,] FALSE FALSE FALSE FALSE
## [653,] FALSE FALSE FALSE FALSE
## [654,] FALSE FALSE FALSE FALSE
## [655,] FALSE FALSE FALSE FALSE
## [656,] FALSE FALSE FALSE FALSE
## [657,] FALSE FALSE FALSE FALSE
## [658,] FALSE FALSE FALSE FALSE
## [659,] FALSE FALSE FALSE FALSE
## [660,] FALSE FALSE FALSE FALSE
## [661,] FALSE FALSE FALSE FALSE
## [662,] FALSE FALSE FALSE FALSE
## [663,] FALSE FALSE FALSE FALSE
## [664,] FALSE FALSE FALSE FALSE
## [665,] FALSE FALSE FALSE FALSE
## [666,] FALSE FALSE FALSE FALSE
## [667,] FALSE FALSE FALSE FALSE
## [668,] FALSE FALSE FALSE FALSE
## [669,] FALSE FALSE FALSE FALSE
## [670,] FALSE FALSE FALSE FALSE
## [671,] FALSE FALSE FALSE FALSE
## [672,] FALSE FALSE FALSE FALSE
## [673,] FALSE FALSE FALSE FALSE
## [674,] FALSE FALSE FALSE FALSE
## [675,] FALSE FALSE FALSE FALSE
## [676,] FALSE FALSE FALSE FALSE
## [677,] FALSE FALSE FALSE FALSE
## [678,] FALSE FALSE FALSE FALSE
## [679,] FALSE FALSE FALSE FALSE
## [680,] FALSE FALSE FALSE FALSE
## [681,] FALSE FALSE FALSE FALSE
## [682,] FALSE FALSE FALSE FALSE
## [683,] FALSE FALSE FALSE FALSE
## [684,] FALSE FALSE FALSE FALSE
## [685,] FALSE FALSE FALSE FALSE
## [686,] FALSE FALSE FALSE FALSE
## [687,] FALSE FALSE FALSE FALSE
## [688,] FALSE FALSE FALSE FALSE
## [689,] FALSE FALSE FALSE FALSE
## [690,] FALSE FALSE FALSE FALSE
## [691,] FALSE FALSE FALSE FALSE
## [692,] FALSE FALSE FALSE FALSE
## [693,] FALSE FALSE FALSE FALSE
## [694,] FALSE FALSE FALSE FALSE
## [695,] FALSE FALSE FALSE FALSE
## [696,] FALSE FALSE FALSE FALSE
## [697,] FALSE FALSE FALSE FALSE
## [698,] FALSE FALSE FALSE FALSE
## [699,] FALSE FALSE FALSE FALSE
## [700,] FALSE FALSE FALSE FALSE
## [701,] FALSE FALSE FALSE FALSE
## [702,] FALSE FALSE FALSE FALSE
## [703,] FALSE FALSE FALSE FALSE
## [704,] FALSE FALSE FALSE FALSE
## [705,] FALSE FALSE FALSE FALSE
## [706,] FALSE FALSE FALSE FALSE
## [707,] FALSE FALSE FALSE FALSE
## [708,] FALSE FALSE FALSE FALSE
## [709,] FALSE FALSE FALSE FALSE
## [710,] FALSE FALSE FALSE FALSE
## [711,] FALSE FALSE FALSE FALSE
## [712,] FALSE FALSE FALSE FALSE
## [713,] FALSE FALSE FALSE FALSE
## [714,] FALSE FALSE FALSE FALSE
## [715,] FALSE FALSE FALSE FALSE
## [716,] FALSE FALSE FALSE FALSE
## [717,] FALSE FALSE FALSE FALSE
## [718,] FALSE FALSE FALSE FALSE
## [719,] FALSE FALSE FALSE FALSE
## [720,] FALSE FALSE FALSE FALSE
## [721,] FALSE FALSE FALSE FALSE
## [722,] FALSE FALSE FALSE FALSE
## [723,] FALSE FALSE FALSE FALSE
## [724,] FALSE FALSE FALSE FALSE
## [725,] FALSE FALSE FALSE FALSE
## [726,] FALSE FALSE FALSE FALSE
## [727,] FALSE FALSE FALSE FALSE
## [728,] FALSE FALSE FALSE FALSE
## [729,] FALSE FALSE FALSE FALSE
## [730,] FALSE FALSE FALSE FALSE
## [731,] FALSE FALSE FALSE FALSE
## [732,] FALSE FALSE FALSE FALSE
## [733,] FALSE FALSE FALSE FALSE
## [734,] FALSE FALSE FALSE FALSE
## [735,] FALSE FALSE FALSE FALSE
## [736,] FALSE FALSE FALSE FALSE
## [737,] FALSE FALSE FALSE FALSE
## [738,] FALSE FALSE FALSE FALSE
## [739,] FALSE FALSE FALSE FALSE
## [740,] FALSE FALSE FALSE FALSE
## [741,] FALSE FALSE FALSE FALSE
## [742,] FALSE FALSE FALSE FALSE
## [743,] FALSE FALSE FALSE FALSE
## [744,] FALSE FALSE FALSE FALSE
## [745,] FALSE FALSE FALSE FALSE
## [746,] FALSE FALSE FALSE FALSE
## [747,] FALSE FALSE FALSE FALSE
## [748,] FALSE FALSE FALSE FALSE
## [749,] FALSE FALSE FALSE FALSE
## [750,] FALSE FALSE FALSE FALSE
## [751,] FALSE FALSE FALSE FALSE
## [752,] FALSE FALSE FALSE FALSE
## [753,] FALSE FALSE FALSE FALSE
## [754,] FALSE FALSE FALSE FALSE
## [755,] FALSE FALSE FALSE FALSE
## [756,] FALSE FALSE FALSE FALSE
## [757,] FALSE FALSE FALSE FALSE
## [758,] FALSE FALSE FALSE FALSE
## [759,] FALSE FALSE FALSE FALSE
## [760,] FALSE FALSE FALSE FALSE
## [761,] FALSE FALSE FALSE FALSE
## [762,] FALSE FALSE FALSE FALSE
## [763,] FALSE FALSE FALSE FALSE
## [764,] FALSE FALSE FALSE FALSE
## [765,] FALSE FALSE FALSE FALSE
## [766,] FALSE FALSE FALSE FALSE
## [767,] FALSE FALSE FALSE FALSE
## [768,] FALSE FALSE FALSE FALSE
## [769,] FALSE FALSE FALSE FALSE
## [770,] FALSE FALSE FALSE FALSE
## [771,] FALSE FALSE FALSE FALSE
## [772,] FALSE FALSE FALSE FALSE
## [773,] FALSE FALSE FALSE FALSE
## [774,] FALSE FALSE FALSE FALSE
## [775,] FALSE FALSE FALSE FALSE
## [776,] FALSE FALSE FALSE FALSE
## [777,] FALSE FALSE FALSE FALSE
## [778,] FALSE FALSE FALSE FALSE
## [779,] FALSE FALSE FALSE FALSE
## [780,] FALSE FALSE FALSE FALSE
## [781,] FALSE FALSE FALSE FALSE
## [782,] FALSE FALSE FALSE FALSE
## [783,] FALSE FALSE FALSE FALSE
## [784,] FALSE FALSE FALSE FALSE
## [785,] FALSE FALSE FALSE FALSE
## [786,] FALSE FALSE FALSE FALSE
## [787,] FALSE FALSE FALSE FALSE
## [788,] FALSE FALSE FALSE FALSE
## [789,] FALSE FALSE FALSE FALSE
## [790,] FALSE FALSE FALSE FALSE
## [791,] FALSE FALSE FALSE FALSE
## [792,] FALSE FALSE FALSE FALSE
## [793,] FALSE FALSE FALSE FALSE
## [794,] FALSE FALSE FALSE FALSE
## [795,] FALSE FALSE FALSE FALSE
## [796,] FALSE FALSE FALSE FALSE
## [797,] FALSE FALSE FALSE FALSE
## [798,] FALSE FALSE FALSE FALSE
## [799,] FALSE FALSE FALSE FALSE
## [800,] FALSE FALSE FALSE FALSE
## [801,] FALSE FALSE FALSE FALSE
## [802,] FALSE FALSE FALSE FALSE
## [803,] FALSE FALSE FALSE FALSE
## [804,] FALSE FALSE FALSE FALSE
## [805,] FALSE FALSE FALSE FALSE
## [806,] FALSE FALSE FALSE FALSE
## [807,] FALSE FALSE FALSE FALSE
## [808,] FALSE FALSE FALSE FALSE
## [809,] FALSE FALSE FALSE FALSE
## [810,] FALSE FALSE FALSE FALSE
## [811,] FALSE FALSE FALSE FALSE
## [812,] FALSE FALSE FALSE FALSE
## [813,] FALSE FALSE FALSE FALSE
## [814,] FALSE FALSE FALSE FALSE
## [815,] FALSE FALSE FALSE FALSE
## [816,] FALSE FALSE FALSE FALSE
## [817,] FALSE FALSE FALSE FALSE
## [818,] FALSE FALSE FALSE FALSE
## [819,] FALSE FALSE FALSE FALSE
## [820,] FALSE FALSE FALSE FALSE
## [821,] FALSE FALSE FALSE FALSE
## [822,] FALSE FALSE FALSE FALSE
## [823,] FALSE FALSE FALSE FALSE
## [824,] FALSE FALSE FALSE FALSE
## [825,] FALSE FALSE FALSE FALSE
## [826,] FALSE FALSE FALSE FALSE
## [827,] FALSE FALSE FALSE FALSE
## [828,] FALSE FALSE FALSE FALSE
## [829,] FALSE FALSE FALSE FALSE
## [830,] FALSE FALSE FALSE FALSE
## [831,] FALSE FALSE FALSE FALSE
## [832,] FALSE FALSE FALSE FALSE
## [833,] FALSE FALSE FALSE FALSE
## [834,] FALSE FALSE FALSE FALSE
## [835,] FALSE FALSE FALSE FALSE
## [836,] FALSE FALSE FALSE FALSE
## [837,] FALSE FALSE FALSE FALSE
## [838,] FALSE FALSE FALSE FALSE
## [839,] FALSE FALSE FALSE FALSE
## [840,] FALSE FALSE FALSE FALSE
## [841,] FALSE FALSE FALSE FALSE
## [842,] FALSE FALSE FALSE FALSE
## [843,] FALSE FALSE FALSE FALSE
## [844,] FALSE FALSE FALSE FALSE
## [845,] FALSE FALSE FALSE FALSE
## [846,] FALSE FALSE FALSE FALSE
## [847,] FALSE FALSE FALSE FALSE
## [848,] FALSE FALSE FALSE FALSE
## [849,] FALSE FALSE FALSE FALSE
## [850,] FALSE FALSE FALSE FALSE
## [851,] FALSE FALSE FALSE FALSE
## [852,] FALSE FALSE FALSE FALSE
## [853,] FALSE FALSE FALSE FALSE
## [854,] FALSE FALSE FALSE FALSE
## [855,] FALSE FALSE FALSE FALSE
## [856,] FALSE FALSE FALSE FALSE
## [857,] FALSE FALSE FALSE FALSE
## [858,] FALSE FALSE FALSE FALSE
## [859,] FALSE FALSE FALSE FALSE
## [860,] FALSE FALSE FALSE FALSE
## [861,] FALSE FALSE FALSE FALSE
## [862,] FALSE FALSE FALSE FALSE
## [863,] FALSE FALSE FALSE FALSE
## [864,] FALSE FALSE FALSE FALSE
## [865,] FALSE FALSE FALSE FALSE
## [866,] FALSE FALSE FALSE FALSE
## [867,] FALSE FALSE FALSE FALSE
## [868,] FALSE FALSE FALSE FALSE
## [869,] FALSE FALSE FALSE FALSE
## [870,] FALSE FALSE FALSE FALSE
## [871,] FALSE FALSE FALSE FALSE
## [872,] FALSE FALSE FALSE FALSE
## [873,] FALSE FALSE FALSE FALSE
## [874,] FALSE FALSE FALSE FALSE
## [875,] FALSE FALSE FALSE FALSE
## [876,] FALSE FALSE FALSE FALSE
## [877,] FALSE FALSE FALSE FALSE
## [878,] FALSE FALSE FALSE FALSE
## [879,] FALSE FALSE FALSE FALSE
## [880,] FALSE FALSE FALSE FALSE
## [881,] FALSE FALSE FALSE FALSE
## [882,] FALSE FALSE FALSE FALSE
## [883,] FALSE FALSE FALSE FALSE
## [884,] FALSE FALSE FALSE FALSE
## [885,] FALSE FALSE FALSE FALSE
## [886,] FALSE FALSE FALSE FALSE
## [887,] FALSE FALSE FALSE FALSE
## [888,] FALSE FALSE FALSE FALSE
## [889,] FALSE FALSE FALSE FALSE
## [890,] FALSE FALSE FALSE FALSE
## [891,] FALSE FALSE FALSE FALSE
## [892,] FALSE FALSE FALSE FALSE
## [893,] FALSE FALSE FALSE FALSE
## [894,] FALSE FALSE FALSE FALSE
## [895,] FALSE FALSE FALSE FALSE
## [896,] FALSE FALSE FALSE FALSE
## [897,] FALSE FALSE FALSE FALSE
## [898,] FALSE FALSE FALSE FALSE
## [899,] FALSE FALSE FALSE FALSE
## [900,] FALSE FALSE FALSE FALSE
## [901,] FALSE FALSE FALSE FALSE
## [902,] FALSE FALSE FALSE FALSE
## [903,] FALSE FALSE FALSE FALSE
## [904,] FALSE FALSE FALSE FALSE
## [905,] FALSE FALSE FALSE FALSE
## [906,] FALSE FALSE FALSE FALSE
## [907,] FALSE FALSE FALSE FALSE
## [908,] FALSE FALSE FALSE FALSE
## [909,] FALSE FALSE FALSE FALSE
## [910,] FALSE FALSE FALSE FALSE
## [911,] FALSE FALSE FALSE FALSE
## [912,] FALSE FALSE FALSE FALSE
## [913,] FALSE FALSE FALSE FALSE
## [914,] FALSE FALSE FALSE FALSE
## [915,] FALSE FALSE FALSE FALSE
## [916,] FALSE FALSE FALSE FALSE
## [917,] FALSE FALSE FALSE FALSE
## [918,] FALSE FALSE FALSE FALSE
## [919,] FALSE FALSE FALSE FALSE
## [920,] FALSE FALSE FALSE FALSE
## [921,] FALSE FALSE FALSE FALSE
## [922,] FALSE FALSE FALSE FALSE
## [923,] FALSE FALSE FALSE FALSE
## [924,] FALSE FALSE FALSE FALSE
## [925,] FALSE FALSE FALSE FALSE
## [926,] FALSE FALSE FALSE FALSE
## [927,] FALSE FALSE FALSE FALSE
## [928,] FALSE FALSE FALSE FALSE
## [929,] FALSE FALSE FALSE FALSE
## [930,] FALSE FALSE FALSE FALSE
## [931,] FALSE FALSE FALSE FALSE
## [932,] FALSE FALSE FALSE FALSE
## [933,] FALSE FALSE FALSE FALSE
## [934,] FALSE FALSE FALSE FALSE
## [935,] FALSE FALSE FALSE FALSE
## [936,] FALSE FALSE FALSE FALSE
## [937,] FALSE FALSE FALSE FALSE
## [938,] FALSE FALSE FALSE FALSE
## [939,] FALSE FALSE FALSE FALSE
## [940,] FALSE FALSE FALSE FALSE
## [941,] FALSE FALSE FALSE FALSE
## [942,] FALSE FALSE FALSE FALSE
## [943,] FALSE FALSE FALSE FALSE
## [944,] FALSE FALSE FALSE FALSE
## [945,] FALSE FALSE FALSE FALSE
## [946,] FALSE FALSE FALSE FALSE
## [947,] FALSE FALSE FALSE FALSE
## [948,] FALSE FALSE FALSE FALSE
## [949,] FALSE FALSE FALSE FALSE
## [950,] FALSE FALSE FALSE FALSE
## [951,] FALSE FALSE FALSE FALSE
## [952,] FALSE FALSE FALSE FALSE
## [953,] FALSE FALSE FALSE FALSE
## [954,] FALSE FALSE FALSE FALSE
## [955,] FALSE FALSE FALSE FALSE
## [956,] FALSE FALSE FALSE FALSE
## [957,] FALSE FALSE FALSE FALSE
## [958,] FALSE FALSE FALSE FALSE
## [959,] FALSE FALSE FALSE FALSE
## [960,] FALSE FALSE FALSE FALSE
## [961,] FALSE FALSE FALSE FALSE
## [962,] FALSE FALSE FALSE FALSE
## [963,] FALSE FALSE FALSE FALSE
## [964,] FALSE FALSE FALSE FALSE
## [965,] FALSE FALSE FALSE FALSE
## [966,] FALSE FALSE FALSE FALSE
## [967,] FALSE FALSE FALSE FALSE
## [968,] FALSE FALSE FALSE FALSE
## [969,] FALSE FALSE FALSE FALSE
## [970,] FALSE FALSE FALSE FALSE
## [971,] FALSE FALSE FALSE FALSE
## [972,] FALSE FALSE FALSE FALSE
## [973,] FALSE FALSE FALSE FALSE
## [974,] FALSE FALSE FALSE FALSE
## [975,] FALSE FALSE FALSE FALSE
## [976,] FALSE FALSE FALSE FALSE
## [977,] FALSE FALSE FALSE FALSE
## [978,] FALSE FALSE FALSE FALSE
## [979,] FALSE FALSE FALSE FALSE
## [980,] FALSE FALSE FALSE FALSE
## [981,] FALSE FALSE FALSE FALSE
## [982,] FALSE FALSE FALSE FALSE
## [983,] FALSE FALSE FALSE FALSE
## [984,] FALSE FALSE FALSE FALSE
## [985,] FALSE FALSE FALSE FALSE
## [986,] FALSE FALSE FALSE FALSE
## [987,] FALSE FALSE FALSE FALSE
## [988,] FALSE FALSE FALSE FALSE
## [989,] FALSE FALSE FALSE FALSE
## [990,] FALSE FALSE FALSE FALSE
## [991,] FALSE FALSE FALSE FALSE
## [992,] FALSE FALSE FALSE FALSE
## [993,] FALSE FALSE FALSE FALSE
## [994,] FALSE FALSE FALSE FALSE
## [995,] FALSE FALSE FALSE FALSE
## [996,] FALSE FALSE FALSE FALSE
## [997,] FALSE FALSE FALSE FALSE
## [998,] FALSE FALSE FALSE FALSE
## [999,] FALSE FALSE FALSE FALSE
## [1000,] FALSE FALSE FALSE FALSE
## [1001,] FALSE FALSE FALSE FALSE
## [1002,] FALSE FALSE FALSE FALSE
## [1003,] FALSE FALSE FALSE FALSE
## [1004,] FALSE FALSE FALSE FALSE
## [1005,] FALSE FALSE FALSE FALSE
## [1006,] FALSE FALSE FALSE FALSE
## [1007,] FALSE FALSE FALSE FALSE
## [1008,] FALSE FALSE FALSE FALSE
## [1009,] FALSE FALSE FALSE FALSE
## [1010,] FALSE FALSE FALSE FALSE
## [1011,] FALSE FALSE FALSE FALSE
## [1012,] FALSE FALSE FALSE FALSE
## [1013,] FALSE FALSE FALSE FALSE
## [1014,] FALSE FALSE FALSE FALSE
## [1015,] FALSE FALSE FALSE FALSE
## [1016,] FALSE FALSE FALSE FALSE
## [1017,] FALSE FALSE FALSE FALSE
## [1018,] FALSE FALSE FALSE FALSE
## [1019,] FALSE FALSE FALSE FALSE
## [1020,] FALSE FALSE FALSE FALSE
## [1021,] FALSE FALSE FALSE FALSE
## [1022,] FALSE FALSE FALSE FALSE
## [1023,] FALSE FALSE FALSE FALSE
## [1024,] FALSE FALSE FALSE FALSE
## [1025,] FALSE FALSE FALSE FALSEsum(is.na(heart_attack))## [1] 0table(heart_attack$target)##
## 0 1
## 499 526prop.table(table(heart_attack$target))##
## 0 1
## 0.4868293 0.5131707pie(table(heart_attack$target), main="Class Distribution")
class(heart_attack$target)## [1] "integer"if (class(heart_attack$target) == "factor") {
heart_attack$target <- as.numeric(as.character(heart_attack$target))
}
model1 <- lm(target ~ ., data = heart_attack)
model1##
## Call:
## lm(formula = target ~ ., data = heart_attack)
##
## Coefficients:
## (Intercept) age sex cp trestbps chol
## 0.879266 -0.001430 -0.210721 0.111820 -0.001818 -0.000458
## fbs restecg thalach exang oldpeak slope
## 0.004225 0.044308 0.002878 -0.144644 -0.061020 0.076220
## ca thal
## -0.095612 -0.115237summary(model1)##
## Call:
## lm(formula = target ~ ., data = heart_attack)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.92108 -0.21388 0.04493 0.26507 0.95158
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.8792656 0.1578856 5.569 3.28e-08 ***
## age -0.0014296 0.0014432 -0.991 0.322151
## sex -0.2107215 0.0255809 -8.237 5.40e-16 ***
## cp 0.1118197 0.0120981 9.243 < 2e-16 ***
## trestbps -0.0018183 0.0006758 -2.691 0.007247 **
## chol -0.0004580 0.0002273 -2.015 0.044173 *
## fbs 0.0042250 0.0320768 0.132 0.895237
## restecg 0.0443080 0.0214084 2.070 0.038739 *
## thalach 0.0028781 0.0006051 4.756 2.26e-06 ***
## exang -0.1446437 0.0275997 -5.241 1.95e-07 ***
## oldpeak -0.0610202 0.0121847 -5.008 6.49e-07 ***
## slope 0.0762203 0.0227286 3.354 0.000828 ***
## ca -0.0956120 0.0116263 -8.224 6.02e-16 ***
## thal -0.1152366 0.0188241 -6.122 1.32e-09 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.3505 on 1011 degrees of freedom
## Multiple R-squared: 0.5149, Adjusted R-squared: 0.5087
## F-statistic: 82.56 on 13 and 1011 DF, p-value: < 2.2e-16Interpretation: Positive coefficients (e.g., cp, slope, thalach) indicate that an increase in the corresponding independent variable is associated with an increase in the estimated value of the dependent variable. Negative coefficients (e.g., age, sex, exang) indicate that an increase in the corresponding independent variable is associated with a decrease in the estimated value of the dependent variable. The magnitude of the coefficient represents the strength of the relationship between the independent and dependent variables. For example, larger absolute values indicate stronger effects.
Interpretation: This logistic regression model suggests that the predictor variables age, sex, cp (chest pain type), trestbps (resting blood pressure), chol (serum cholesterol), fbs (fasting blood sugar), restecg (resting electrocardiographic results), thalach (maximum heart rate achieved), exang (exercise-induced angina), oldpeak (ST depression induced by exercise relative to rest), slope (slope of the peak exercise ST segment), ca (number of major vessels colored by fluoroscopy), and thal (thalassemia type) are associated with the target variable, each with varying degrees of impact, as indicated by their coefficients. apply regrssion
model2<-glm(model_glm <- glm(target ~ ., data = heart_attack, family = binomial))
model2##
## Call: glm(formula = model_glm <- glm(target ~ ., data = heart_attack,
## family = binomial))
##
## Coefficients:
## (Intercept) age sex cp trestbps chol
## 0.879266 -0.001430 -0.210721 0.111820 -0.001818 -0.000458
## fbs restecg thalach exang oldpeak slope
## 0.004225 0.044308 0.002878 -0.144644 -0.061020 0.076220
## ca thal
## -0.095612 -0.115237
##
## Degrees of Freedom: 1024 Total (i.e. Null); 1011 Residual
## Null Deviance: 256.1
## Residual Deviance: 124.2 AIC: 775.6—————-apply KNN—————-
1-fold cross validation
set.seed(123)
index <- sample(1:nrow(heart_attack), nrow(heart_attack))
# Split the data into training and testing sets (1-fold cross-validation)
train_data <- heart_attack[index <= nrow(heart_attack) * 0.8, ] # 80% for training
test_data <- heart_attack[index > nrow(heart_attack) * 0.8, ] # 20% for testing
# Here you would typically fit your model using the training data,
# but since you don't want to fit a model, we'll proceed to evaluation
# For example, let's calculate the mean of the target variable in the training set
mean_target_training <- mean(heart_attack$target)This line calculates the mean of the target variable (target) in the training set (heart_attack$target). However, it’s worth noting that this line doesn’t fit any model to the training data; it simply calculates a summary statistic (mean) as an example. Typically, after splitting the data, you would fit a model using the training data and then evaluate its performance on the testing data. In this case, model fitting and evaluation are not included in the provided code snippet.
Overall, this code sets up a data splitting procedure using a 1-fold cross-validation approach and randomly divides the dataset into training and testing sets for further analysis or model building. 2-fold cross validation
# Set a seed for reproducibility
set.seed(123)
# Create an index for splitting the data into two folds
index <- sample(1:nrow(heart_attack))
# Split the data into two folds
fold1 <- heart_attack[index %% 2 == 0, ] # Fold 1
fold2 <- heart_attack[index %% 2 != 0, ] # Fold 2
# Perform 2-fold cross-validation
# Fold 1 as training, Fold 2 as testing
train_data_fold1 <- fold1
test_data_fold1 <- fold2
# Fit your model (or use a prediction method) using train_data_fold1
# For example, let's calculate the mean of the target variable in train_data_fold1
mean_target_fold1 <- mean(train_data_fold1$target)
# Use the mean as a baseline prediction for test_data_fold1
predicted_mean_fold1 <- rep(mean_target_fold1, nrow(test_data_fold1))
# Calculate some metric (e.g., mean squared error) for evaluation
MSE_fold1 <- mean((predicted_mean_fold1 - test_data_fold1$target)^2)
# Print the mean squared error for Fold 1
print(paste("Mean Squared Error for Fold 1:", MSE_fold1))## [1] "Mean Squared Error for Fold 1: 0.249908633167051"# Fold 2 as training, Fold 1 as testing
train_data_fold2 <- fold2
test_data_fold2 <- fold1
# Fit your model (or use a prediction method) using train_data_fold2
# For example, let's calculate the mean of the target variable in train_data_fold2
mean_target_fold2 <- mean(train_data_fold2$target)
# Use the mean as a baseline prediction for test_data_fold2
predicted_mean_fold2 <- rep(mean_target_fold2, nrow(test_data_fold2))
# Calculate some metric (e.g., mean squared error) for evaluation
MSE_fold2 <- mean((predicted_mean_fold2 - test_data_fold2$target)^2)
# Print the mean squared error for Fold 2
print(paste("Mean Squared Error for Fold 2:", MSE_fold2))## [1] "Mean Squared Error for Fold 2: 0.250498543414593"# Define the control parameters for 3-fold cross-validation
library(caret)## Warning: package 'caret' was built under R version 4.3.3## Loading required package: ggplot2## Loading required package: latticeheart_attack$target <- factor(heart_attack$target)
ctrl <- trainControl(method = "cv", number = 3)
# Train your model using 3-fold cross-validation with linear regression (lm)
model_3fold <- train(target ~ ., data = heart_attack, method = "glm", trControl = ctrl)
# Print the results
print(model_3fold)## Generalized Linear Model
##
## 1025 samples
## 13 predictor
## 2 classes: '0', '1'
##
## No pre-processing
## Resampling: Cross-Validated (3 fold)
## Summary of sample sizes: 682, 684, 684
## Resampling results:
##
## Accuracy Kappa
## 0.8429275 0.6846486Interpretation: The code demonstrates two different approaches to cross-validation: manual implementation of 2-fold cross-validation and utilizing the train() function from the caret package for 3-fold cross-validation. Cross-validation helps evaluate the performance of a model and assess its generalization ability by partitioning the dataset into multiple subsets for training and testing iteratively. 3-fold cross validation
# Define the control parameters for 3-fold cross-validation
library(caret)
heart_attack$target <- factor(heart_attack$target)
ctrl <- trainControl(method = "cv", number = 3)
# Train your model using 3-fold cross-validation with linear regression (lm)
model_3fold <- train(target ~ ., data = heart_attack, method = "glm", trControl = ctrl)
# Print the results
print(model_3fold)## Generalized Linear Model
##
## 1025 samples
## 13 predictor
## 2 classes: '0', '1'
##
## No pre-processing
## Resampling: Cross-Validated (3 fold)
## Summary of sample sizes: 684, 684, 682
## Resampling results:
##
## Accuracy Kappa
## 0.8292366 0.65739Interpretation: The code performs model training and evaluation using 3-fold cross-validation with linear regression. Cross-validation helps assess the performance and generalization ability of the model by partitioning the dataset into multiple subsets for training and testing iteratively. The results printed provide insights into the model’s performance metrics obtained from cross-validation. These metrics help evaluate how well the model generalizes to unseen data.
Interpretation: The first part of the code calculates the optimal cutoff value based on the binary prediction (predicted) and the true binary labels (test$sex). The second part trains a KNN model using cross-validation and evaluates it using a confusion matrix to assess its performance. Overall, the code performs cutoff optimization and evaluates a KNN model using a confusion matrix to understand its classification performance.
library(caret)
set.seed(1234)
# Train the KNN model
model_knn <- train(target ~ .,
data = heart_attack,
method = "knn",
trControl=trainControl(method = "cv", number = 5))
head(model_knn)## $method
## [1] "knn"
##
## $modelInfo
## $modelInfo$label
## [1] "k-Nearest Neighbors"
##
## $modelInfo$library
## NULL
##
## $modelInfo$loop
## NULL
##
## $modelInfo$type
## [1] "Classification" "Regression"
##
## $modelInfo$parameters
## parameter class label
## 1 k numeric #Neighbors
##
## $modelInfo$grid
## function (x, y, len = NULL, search = "grid")
## {
## if (search == "grid") {
## out <- data.frame(k = (5:((2 * len) + 4))[(5:((2 * len) +
## 4))%%2 > 0])
## }
## else {
## by_val <- if (is.factor(y))
## length(levels(y))
## else 1
## out <- data.frame(k = sample(seq(1, floor(nrow(x)/3),
## by = by_val), size = len, replace = TRUE))
## }
## }
##
## $modelInfo$fit
## function (x, y, wts, param, lev, last, classProbs, ...)
## {
## if (is.factor(y)) {
## knn3(as.matrix(x), y, k = param$k, ...)
## }
## else {
## knnreg(as.matrix(x), y, k = param$k, ...)
## }
## }
## <bytecode: 0x000002806e3daf10>
##
## $modelInfo$predict
## function (modelFit, newdata, submodels = NULL)
## {
## if (modelFit$problemType == "Classification") {
## out <- predict(modelFit, newdata, type = "class")
## }
## else {
## out <- predict(modelFit, newdata)
## }
## out
## }
## <bytecode: 0x000002806e5544a8>
##
## $modelInfo$predictors
## function (x, ...)
## colnames(x$learn$X)
##
## $modelInfo$tags
## [1] "Prototype Models"
##
## $modelInfo$prob
## function (modelFit, newdata, submodels = NULL)
## predict(modelFit, newdata, type = "prob")
##
## $modelInfo$levels
## function (x)
## levels(x$learn$y)
##
## $modelInfo$sort
## function (x)
## x[order(-x[, 1]), ]
##
##
## $modelType
## [1] "Classification"
##
## $results
## k Accuracy Kappa AccuracySD KappaSD
## 1 5 0.6809916 0.3617139 0.01059727 0.02212386
## 2 7 0.7287732 0.4575272 0.01722177 0.03389509
## 3 9 0.7307435 0.4614475 0.03020486 0.06045208
##
## $pred
## NULL
##
## $bestTune
## k
## 3 9# Make predictions
predictions <- predict(model_knn, data = heart_attack)
predictions## [1] 1 0 0 1 0 1 0 0 0 0 0 0 1 0 1 1 0 0 1 1 0 1 1 1 1 1 1 0 0 0 1 1 0 0 1 1 0
## [38] 1 0 0 0 0 1 0 1 1 0 0 1 0 1 0 1 0 0 0 1 1 0 1 1 1 0 0 1 0 1 0 1 0 0 0 0 0
## [75] 1 1 1 0 0 0 1 1 1 1 1 1 1 1 0 0 1 1 0 1 0 1 1 0 1 1 1 1 1 1 1 0 0 0 1 1 1
## [112] 0 1 0 0 1 0 0 1 1 1 1 0 0 0 1 1 1 1 0 1 0 0 1 1 1 1 1 1 1 0 0 0 1 1 0 1 0
## [149] 0 1 0 0 1 0 0 1 1 0 1 1 1 1 1 1 0 0 0 1 1 0 1 0 1 1 0 0 0 0 1 0 0 1 0 1 1
## [186] 0 0 0 0 1 1 1 1 1 0 0 1 1 1 1 1 1 0 0 1 1 0 1 1 0 1 0 0 1 1 1 0 1 0 0 1 0
## [223] 1 1 1 0 1 0 1 0 1 1 0 1 1 0 1 0 0 1 1 0 1 0 1 1 0 0 1 1 0 0 0 0 0 0 1 1 1
## [260] 1 1 0 1 1 1 1 0 0 1 1 1 1 1 1 1 0 1 1 0 1 1 1 1 1 1 1 0 0 1 1 1 0 1 0 0 0
## [297] 0 0 1 1 1 1 1 0 1 0 0 1 0 1 0 1 0 1 1 1 0 1 0 1 0 1 0 1 1 1 0 0 0 1 1 0 1
## [334] 1 0 0 1 1 0 0 1 1 1 1 1 1 0 1 0 0 1 1 0 0 0 1 0 0 1 1 1 0 1 1 1 1 0 0 0 0
## [371] 0 0 1 1 1 1 1 0 0 1 0 1 1 0 0 0 1 1 0 1 0 0 0 0 0 1 0 0 1 1 0 0 1 1 0 0 1
## [408] 1 1 1 1 0 0 0 0 1 1 1 1 0 1 0 1 0 0 0 1 1 0 1 0 0 1 1 1 1 1 0 1 1 1 0 0 1
## [445] 1 1 1 0 1 0 1 1 0 1 0 1 1 1 1 1 0 1 1 1 1 1 1 0 1 0 1 0 0 1 0 1 0 0 1 0 0
## [482] 1 0 1 1 0 0 0 1 1 1 1 1 0 1 1 0 1 1 1 0 1 1 1 1 0 0 1 0 0 1 0 1 1 1 0 0 1
## [519] 0 1 0 0 1 1 0 0 0 1 0 1 0 1 0 1 1 1 1 1 0 0 0 1 0 1 1 0 0 1 1 1 0 0 0 1 1
## [556] 0 0 1 1 0 0 1 1 1 0 1 1 1 1 1 0 0 1 1 0 1 0 0 0 0 1 1 1 0 0 1 1 0 1 0 1 0
## [593] 0 0 0 1 1 1 1 1 0 0 1 1 1 1 1 0 0 0 0 0 1 0 0 1 1 1 1 1 0 1 0 0 0 0 1 1 1
## [630] 0 0 1 1 0 1 0 1 1 0 0 1 0 0 0 1 0 1 0 0 1 0 1 0 0 1 1 1 1 1 1 0 0 1 1 0 0
## [667] 1 0 1 1 1 1 1 0 0 1 0 0 1 0 1 0 0 0 0 1 1 1 0 0 0 1 0 1 1 0 1 0 1 0 1 0 0
## [704] 0 1 0 0 1 0 0 1 0 0 0 0 1 0 0 1 1 0 1 1 1 1 0 1 1 0 1 1 0 1 1 1 1 1 0 1 1
## [741] 1 1 0 0 1 1 0 0 1 0 1 0 1 0 0 1 0 1 1 1 0 1 1 1 0 0 0 0 1 1 0 1 1 0 1 1 1
## [778] 0 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 1 1 0 0 0 0
## [815] 0 0 1 1 1 1 0 0 0 1 0 1 1 0 1 0 1 0 1 0 0 1 1 1 0 1 0 1 0 0 0 0 1 0 1 1 1
## [852] 1 1 0 0 1 1 1 1 0 0 0 0 1 0 1 1 1 1 1 1 1 0 0 0 0 0 1 0 1 1 1 0 1 0 0 0 0
## [889] 0 1 0 1 0 1 0 0 0 0 0 1 0 0 0 0 1 0 1 1 0 1 1 0 0 1 1 0 0 1 1 1 1 0 1 1 1
## [926] 0 1 1 0 0 0 1 0 1 1 1 1 0 0 1 0 1 1 0 0 1 1 1 0 1 0 0 0 1 0 0 1 1 0 1 1 1
## [963] 1 0 1 1 0 0 0 1 1 1 1 1 1 1 0 1 1 0 0 1 1 0 1 0 0 1 0 0 1 0 1 0 1 1 0 0 0
## [1000] 0 0 1 1 1 0 0 1 1 1 1 0 1 0 0 1 0 0 0 0 1 1 0 0 1 0
## Levels: 0 1# Convert predictions and target to factors with the same levels
predictions <- factor(predictions, levels = levels(heart_attack$target))
# Create the confusion matrix
#conf_matrix <- confusionMatrix(predictions, heart_attack$target)
#conf_matrix
# Print confusion matrix
#print(conf_matrix)Interpretation: The code first checks the lengths and missing values of the true and predicted labels to ensure data consistency and integrity. It then converts the true and predicted labels to factors with appropriate levels for creating the confusion matrix. Finally, it attempts to create a confusion matrix, but there seems to be a mistake in using test\(age instead of test\)sex for the true labels, which might result in an error or incorrect evaluation. To correct the code, ensure that the correct variables are used for comparison in the confusion matrix creation. If the intention is to compare the true and predicted binary sex labels, replace test\(age with test\)sex.
R Markdown
This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com.
When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:
summary(cars)## speed dist
## Min. : 4.0 Min. : 2.00
## 1st Qu.:12.0 1st Qu.: 26.00
## Median :15.0 Median : 36.00
## Mean :15.4 Mean : 42.98
## 3rd Qu.:19.0 3rd Qu.: 56.00
## Max. :25.0 Max. :120.00Including Plots
You can also embed plots, for example:
Note that the echo = FALSE parameter was added to the
code chunk to prevent printing of the R code that generated the
plot.