Naive Bayes Classifier |
> naive_bayes_via_caret$results usekernel laplace adjust Accuracy Kappa AccuracySD KappaSD 1 FALSE 0.0 0.75 0.5930546 0.2102384 0.04243491 0.0885656 2 FALSE 0.0 1.00 0.5930546 0.2102384 0.04243491 0.0885656 3 FALSE 0.0 1.25 0.5930546 0.2102384 0.04243491 0.0885656 4 FALSE 0.0 1.50 0.5930546 0.2102384 0.04243491 0.0885656 5 FALSE 0.0 1.75 0.5930546 0.2102384 0.04243491 0.0885656 6 FALSE 0.0 2.00 0.5930546 0.2102384 0.04243491 0.0885656 7 FALSE 0.0 2.25 0.5930546 0.2102384 0.04243491 0.0885656 8 FALSE 0.0 2.50 0.5930546 0.2102384 0.04243491 0.0885656 49 TRUE 0.0 0.75 NaN NaN NA NA 50 TRUE 0.0 1.00 NaN NaN NA NA 51 TRUE 0.0 1.25 NaN NaN NA NA 52 TRUE 0.0 1.50 NaN NaN NA NA 53 TRUE 0.0 1.75 NaN NaN NA NA 54 TRUE 0.0 2.00 NaN NaN NA NA 55 TRUE 0.0 2.25 NaN NaN NA NA 56 TRUE 0.0 2.50 NaN NaN NA NA 9 FALSE 0.5 0.75 0.5930546 0.2102384 0.04243491 0.0885656 10 FALSE 0.5 1.00 0.5930546 0.2102384 0.04243491 0.0885656 11 FALSE 0.5 1.25 0.5930546 0.2102384 0.04243491 0.0885656 12 FALSE 0.5 1.50 0.5930546 0.2102384 0.04243491 0.0885656 13 FALSE 0.5 1.75 0.5930546 0.2102384 0.04243491 0.0885656 14 FALSE 0.5 2.00 0.5930546 0.2102384 0.04243491 0.0885656 15 FALSE 0.5 2.25 0.5930546 0.2102384 0.04243491 0.0885656 16 FALSE 0.5 2.50 0.5930546 0.2102384 0.04243491 0.0885656 57 TRUE 0.5 0.75 NaN NaN NA NA 58 TRUE 0.5 1.00 NaN NaN NA NA 59 TRUE 0.5 1.25 NaN NaN NA NA 60 TRUE 0.5 1.50 NaN NaN NA NA 61 TRUE 0.5 1.75 NaN NaN NA NA 62 TRUE 0.5 2.00 NaN NaN NA NA 63 TRUE 0.5 2.25 NaN NaN NA NA 64 TRUE 0.5 2.50 NaN NaN NA NA 17 FALSE 1.0 0.75 0.5930546 0.2102384 0.04243491 0.0885656 18 FALSE 1.0 1.00 0.5930546 0.2102384 0.04243491 0.0885656 19 FALSE 1.0 1.25 0.5930546 0.2102384 0.04243491 0.0885656 20 FALSE 1.0 1.50 0.5930546 0.2102384 0.04243491 0.0885656 21 FALSE 1.0 1.75 0.5930546 0.2102384 0.04243491 0.0885656 22 FALSE 1.0 2.00 0.5930546 0.2102384 0.04243491 0.0885656 23 FALSE 1.0 2.25 0.5930546 0.2102384 0.04243491 0.0885656 24 FALSE 1.0 2.50 0.5930546 0.2102384 0.04243491 0.0885656 65 TRUE 1.0 0.75 NaN NaN NA NA 66 TRUE 1.0 1.00 NaN NaN NA NA 67 TRUE 1.0 1.25 NaN NaN NA NA 68 TRUE 1.0 1.50 NaN NaN NA NA 69 TRUE 1.0 1.75 NaN NaN NA NA 70 TRUE 1.0 2.00 NaN NaN NA NA 71 TRUE 1.0 2.25 NaN NaN NA NA 72 TRUE 1.0 2.50 NaN NaN NA NA 25 FALSE 2.0 0.75 0.5930546 0.2102384 0.04243491 0.0885656 26 FALSE 2.0 1.00 0.5930546 0.2102384 0.04243491 0.0885656 27 FALSE 2.0 1.25 0.5930546 0.2102384 0.04243491 0.0885656 28 FALSE 2.0 1.50 0.5930546 0.2102384 0.04243491 0.0885656 29 FALSE 2.0 1.75 0.5930546 0.2102384 0.04243491 0.0885656 30 FALSE 2.0 2.00 0.5930546 0.2102384 0.04243491 0.0885656 31 FALSE 2.0 2.25 0.5930546 0.2102384 0.04243491 0.0885656 32 FALSE 2.0 2.50 0.5930546 0.2102384 0.04243491 0.0885656 73 TRUE 2.0 0.75 NaN NaN NA NA 74 TRUE 2.0 1.00 NaN NaN NA NA 75 TRUE 2.0 1.25 NaN NaN NA NA 76 TRUE 2.0 1.50 NaN NaN NA NA 77 TRUE 2.0 1.75 NaN NaN NA NA 78 TRUE 2.0 2.00 NaN NaN NA NA 79 TRUE 2.0 2.25 NaN NaN NA NA 80 TRUE 2.0 2.50 NaN NaN NA NA 33 FALSE 3.0 0.75 0.5930546 0.2102384 0.04243491 0.0885656 34 FALSE 3.0 1.00 0.5930546 0.2102384 0.04243491 0.0885656 35 FALSE 3.0 1.25 0.5930546 0.2102384 0.04243491 0.0885656 36 FALSE 3.0 1.50 0.5930546 0.2102384 0.04243491 0.0885656 37 FALSE 3.0 1.75 0.5930546 0.2102384 0.04243491 0.0885656 38 FALSE 3.0 2.00 0.5930546 0.2102384 0.04243491 0.0885656 39 FALSE 3.0 2.25 0.5930546 0.2102384 0.04243491 0.0885656 40 FALSE 3.0 2.50 0.5930546 0.2102384 0.04243491 0.0885656 81 TRUE 3.0 0.75 NaN NaN NA NA 82 TRUE 3.0 1.00 NaN NaN NA NA 83 TRUE 3.0 1.25 NaN NaN NA NA 84 TRUE 3.0 1.50 NaN NaN NA NA 85 TRUE 3.0 1.75 NaN NaN NA NA 86 TRUE 3.0 2.00 NaN NaN NA NA 87 TRUE 3.0 2.25 NaN NaN NA NA 88 TRUE 3.0 2.50 NaN NaN NA NA 41 FALSE 4.0 0.75 0.5930546 0.2102384 0.04243491 0.0885656 42 FALSE 4.0 1.00 0.5930546 0.2102384 0.04243491 0.0885656 43 FALSE 4.0 1.25 0.5930546 0.2102384 0.04243491 0.0885656 44 FALSE 4.0 1.50 0.5930546 0.2102384 0.04243491 0.0885656 45 FALSE 4.0 1.75 0.5930546 0.2102384 0.04243491 0.0885656 46 FALSE 4.0 2.00 0.5930546 0.2102384 0.04243491 0.0885656 47 FALSE 4.0 2.25 0.5930546 0.2102384 0.04243491 0.0885656 48 FALSE 4.0 2.50 0.5930546 0.2102384 0.04243491 0.0885656 89 TRUE 4.0 0.75 NaN NaN NA NA 90 TRUE 4.0 1.00 NaN NaN NA NA 91 TRUE 4.0 1.25 NaN NaN NA NA 92 TRUE 4.0 1.50 NaN NaN NA NA 93 TRUE 4.0 1.75 NaN NaN NA NA 94 TRUE 4.0 2.00 NaN NaN NA NA 95 TRUE 4.0 2.25 NaN NaN NA NA 96 TRUE 4.0 2.50 NaN NaN NA NA |
> naive_bayes_via_caret$finalModel$tuneValue laplace usekernel adjust 1 0 FALSE 0.75 |
> print.naive_bayes(naive_bayes_via_caret$finalModel) ================================== Naive Bayes ================================== Call: naive_bayes.default(x = x, y = y, laplace = param$laplace, usekernel = FALSE, usepoisson = TRUE, kernel = ..1, bw = "SJ") --------------------------------------------------------------------------------- Laplace smoothing: 0 --------------------------------------------------------------------------------- A priori probabilities: 0 1 0.4554455 0.5445545 --------------------------------------------------------------------------------- Tables: --------------------------------------------------------------------------------- ::: bloodpressureNum (Gaussian) --------------------------------------------------------------------------------- bloodpressureNum 0 1 mean 134.39855 129.30303 sd 18.72994 16.16961 --------------------------------------------------------------------------------- ::: sexLabel'Male' (Gaussian) --------------------------------------------------------------------------------- sexLabel'Male' 0 1 mean 0.8260870 0.5636364 sd 0.3804155 0.4974436 --------------------------------------------------------------------------------- |
> z target bloodpressureNum sexLabel 0 1 1 1 145 'Male' 0.4963321 0.50366788 2 1 130 'Male' 0.4128181 0.58718191 3 1 130 'Female' 0.4128181 0.58718191 4 1 120 'Male' 0.3880164 0.61198357 5 1 120 'Female' 0.3880164 0.61198357 6 1 140 'Male' 0.4621778 0.53782224 7 1 140 'Female' 0.4621778 0.53782224 8 1 120 'Male' 0.3880164 0.61198357 9 1 172 'Male' 0.7586834 0.24131665 10 1 150 'Male' 0.5365819 0.46341807 11 1 140 'Male' 0.4621778 0.53782224 12 1 130 'Female' 0.4128181 0.58718191 13 1 130 'Male' 0.4128181 0.58718191 14 1 110 'Male' 0.3866137 0.61338629 15 1 150 'Female' 0.5365819 0.46341807 16 1 120 'Female' 0.3880164 0.61198357 17 1 120 'Female' 0.3880164 0.61198357 18 1 150 'Female' 0.5365819 0.46341807 19 1 150 'Male' 0.5365819 0.46341807 20 1 140 'Female' 0.4621778 0.53782224 21 1 135 'Male' 0.4343486 0.56565138 22 1 130 'Male' 0.4128181 0.58718191 23 1 140 'Male' 0.4621778 0.53782224 24 1 150 'Male' 0.5365819 0.46341807 25 1 140 'Male' 0.4621778 0.53782224 26 1 160 'Female' 0.6323187 0.36768134 27 1 150 'Male' 0.5365819 0.46341807 28 1 110 'Male' 0.3866137 0.61338629 29 1 140 'Female' 0.4621778 0.53782224 30 1 130 'Male' 0.4128181 0.58718191 31 1 105 'Female' 0.3946059 0.60539414 32 1 120 'Male' 0.3880164 0.61198357 33 1 130 'Male' 0.4128181 0.58718191 34 1 125 'Male' 0.3974336 0.60256642 35 1 125 'Male' 0.3974336 0.60256642 36 1 142 'Female' 0.4750861 0.52491395 37 1 135 'Female' 0.4343486 0.56565138 38 1 150 'Male' 0.5365819 0.46341807 39 1 155 'Female' 0.5822960 0.41770400 40 1 160 'Female' 0.6323187 0.36768134 41 1 140 'Female' 0.4621778 0.53782224 42 1 130 'Male' 0.4128181 0.58718191 43 1 104 'Male' 0.3969106 0.60308940 44 1 130 'Female' 0.4128181 0.58718191 45 1 140 'Male' 0.4621778 0.53782224 46 1 120 'Male' 0.3880164 0.61198357 47 1 140 'Male' 0.4621778 0.53782224 48 1 138 'Male' 0.4502844 0.54971565 49 1 128 'Female' 0.4059371 0.59406295 50 1 138 'Female' 0.4502844 0.54971565 51 1 130 'Female' 0.4128181 0.58718191 52 1 120 'Male' 0.3880164 0.61198357 53 1 130 'Male' 0.4128181 0.58718191 54 1 108 'Female' 0.3891086 0.61089142 55 1 135 'Female' 0.4343486 0.56565138 56 1 134 'Male' 0.4295424 0.57045757 57 1 122 'Male' 0.3910775 0.60892250 58 1 115 'Male' 0.3844291 0.61557088 59 1 118 'Male' 0.3858872 0.61411279 60 1 128 'Female' 0.4059371 0.59406295 61 1 110 'Female' 0.3866137 0.61338629 62 1 108 'Male' 0.3891086 0.61089142 63 1 118 'Male' 0.3858872 0.61411279 64 1 135 'Male' 0.4343486 0.56565138 65 1 140 'Male' 0.4621778 0.53782224 66 1 138 'Female' 0.4502844 0.54971565 67 1 100 'Male' 0.4085263 0.59147370 68 1 130 'Female' 0.4128181 0.58718191 69 1 120 'Male' 0.3880164 0.61198357 70 1 124 'Female' 0.3950781 0.60492192 71 1 120 'Male' 0.3880164 0.61198357 72 1 94 'Male' 0.4333012 0.56669885 73 1 130 'Male' 0.4128181 0.58718191 74 1 140 'Male' 0.4621778 0.53782224 75 1 122 'Female' 0.3910775 0.60892250 76 1 135 'Female' 0.4343486 0.56565138 77 1 125 'Male' 0.3974336 0.60256642 78 1 140 'Male' 0.4621778 0.53782224 79 1 128 'Male' 0.4059371 0.59406295 80 1 105 'Male' 0.3946059 0.60539414 81 1 112 'Male' 0.3850471 0.61495293 82 1 128 'Male' 0.4059371 0.59406295 83 1 102 'Female' 0.4022362 0.59776376 84 1 152 'Male' 0.5542638 0.44573617 85 1 102 'Female' 0.4022362 0.59776376 86 1 115 'Female' 0.3844291 0.61557088 87 1 118 'Male' 0.3858872 0.61411279 88 1 101 'Male' 0.4052600 0.59474002 89 1 110 'Female' 0.3866137 0.61338629 90 1 100 'Female' 0.4085263 0.59147370 91 1 124 'Male' 0.3950781 0.60492192 92 1 132 'Male' 0.4206827 0.57931727 93 1 138 'Male' 0.4502844 0.54971565 94 1 132 'Female' 0.4206827 0.57931727 95 1 112 'Female' 0.3850471 0.61495293 96 1 142 'Male' 0.4750861 0.52491395 97 1 140 'Female' 0.4621778 0.53782224 98 1 108 'Male' 0.3891086 0.61089142 99 1 130 'Male' 0.4128181 0.58718191 100 1 130 'Male' 0.4128181 0.58718191 101 1 148 'Male' 0.5197803 0.48021970 102 1 178 'Male' 0.8175342 0.18246584 103 1 140 'Female' 0.4621778 0.53782224 104 1 120 'Male' 0.3880164 0.61198357 105 1 129 'Male' 0.4092554 0.59074463 106 1 120 'Female' 0.3880164 0.61198357 107 1 160 'Male' 0.6323187 0.36768134 108 1 138 'Female' 0.4502844 0.54971565 109 1 120 'Female' 0.3880164 0.61198357 110 1 110 'Female' 0.3866137 0.61338629 111 1 180 'Female' 0.8355671 0.16443288 112 1 150 'Male' 0.5365819 0.46341807 113 1 140 'Female' 0.4621778 0.53782224 114 1 110 'Male' 0.3866137 0.61338629 115 1 130 'Male' 0.4128181 0.58718191 116 1 120 'Female' 0.3880164 0.61198357 117 1 130 'Male' 0.4128181 0.58718191 118 1 120 'Male' 0.3880164 0.61198357 119 1 105 'Female' 0.3946059 0.60539414 120 1 138 'Female' 0.4502844 0.54971565 121 1 130 'Female' 0.4128181 0.58718191 122 1 138 'Male' 0.4502844 0.54971565 123 1 112 'Female' 0.3850471 0.61495293 124 1 108 'Female' 0.3891086 0.61089142 125 1 94 'Female' 0.4333012 0.56669885 126 1 118 'Female' 0.3858872 0.61411279 127 1 112 'Male' 0.3850471 0.61495293 128 1 152 'Female' 0.5542638 0.44573617 129 1 136 'Female' 0.4394072 0.56059285 130 1 120 'Female' 0.3880164 0.61198357 131 1 160 'Female' 0.6323187 0.36768134 132 1 134 'Female' 0.4295424 0.57045757 133 1 120 'Male' 0.3880164 0.61198357 134 1 110 'Male' 0.3866137 0.61338629 135 1 126 'Female' 0.4000276 0.59997237 136 1 130 'Female' 0.4128181 0.58718191 137 1 120 'Female' 0.3880164 0.61198357 138 1 128 'Male' 0.4059371 0.59406295 139 1 110 'Male' 0.3866137 0.61338629 140 1 128 'Male' 0.4059371 0.59406295 141 1 120 'Female' 0.3880164 0.61198357 142 1 115 'Male' 0.3844291 0.61557088 143 1 120 'Female' 0.3880164 0.61198357 144 1 106 'Female' 0.3925381 0.60746193 145 1 140 'Female' 0.4621778 0.53782224 146 1 156 'Male' 0.5920030 0.40799705 147 1 118 'Female' 0.3858872 0.61411279 148 1 150 'Female' 0.5365819 0.46341807 149 1 120 'Male' 0.3880164 0.61198357 150 1 130 'Male' 0.4128181 0.58718191 151 1 160 'Male' 0.6323187 0.36768134 152 1 112 'Female' 0.3850471 0.61495293 153 1 170 'Male' 0.7379195 0.26208050 154 1 146 'Female' 0.5039079 0.49609205 155 1 138 'Female' 0.4502844 0.54971565 156 1 130 'Female' 0.4128181 0.58718191 157 1 130 'Male' 0.4128181 0.58718191 158 1 122 'Male' 0.3910775 0.60892250 159 1 125 'Male' 0.3974336 0.60256642 160 1 130 'Male' 0.4128181 0.58718191 161 1 120 'Male' 0.3880164 0.61198357 162 1 132 'Female' 0.4206827 0.57931727 163 1 120 'Male' 0.3880164 0.61198357 164 1 138 'Male' 0.4502844 0.54971565 165 1 138 'Male' 0.4502844 0.54971565 166 0 160 'Male' 0.6323187 0.36768134 167 0 120 'Male' 0.3880164 0.61198357 168 0 140 'Female' 0.4621778 0.53782224 169 0 130 'Male' 0.4128181 0.58718191 170 0 140 'Male' 0.4621778 0.53782224 171 0 130 'Male' 0.4128181 0.58718191 172 0 110 'Male' 0.3866137 0.61338629 173 0 120 'Male' 0.3880164 0.61198357 174 0 132 'Male' 0.4206827 0.57931727 175 0 130 'Male' 0.4128181 0.58718191 176 0 110 'Male' 0.3866137 0.61338629 177 0 117 'Male' 0.3851702 0.61482978 178 0 140 'Male' 0.4621778 0.53782224 179 0 120 'Male' 0.3880164 0.61198357 180 0 150 'Male' 0.5365819 0.46341807 181 0 132 'Male' 0.4206827 0.57931727 182 0 150 'Female' 0.5365819 0.46341807 183 0 130 'Female' 0.4128181 0.58718191 184 0 112 'Male' 0.3850471 0.61495293 185 0 150 'Male' 0.5365819 0.46341807 186 0 112 'Male' 0.3850471 0.61495293 187 0 130 'Male' 0.4128181 0.58718191 188 0 124 'Male' 0.3950781 0.60492192 189 0 140 'Male' 0.4621778 0.53782224 190 0 110 'Male' 0.3866137 0.61338629 191 0 130 'Female' 0.4128181 0.58718191 192 0 128 'Male' 0.4059371 0.59406295 193 0 120 'Male' 0.3880164 0.61198357 194 0 145 'Male' 0.4963321 0.50366788 195 0 140 'Male' 0.4621778 0.53782224 196 0 170 'Male' 0.7379195 0.26208050 197 0 150 'Male' 0.5365819 0.46341807 198 0 125 'Male' 0.3974336 0.60256642 199 0 120 'Male' 0.3880164 0.61198357 200 0 110 'Male' 0.3866137 0.61338629 201 0 110 'Male' 0.3866137 0.61338629 202 0 125 'Male' 0.3974336 0.60256642 203 0 150 'Male' 0.5365819 0.46341807 204 0 180 'Male' 0.8355671 0.16443288 205 0 160 'Female' 0.6323187 0.36768134 206 0 128 'Male' 0.4059371 0.59406295 207 0 110 'Male' 0.3866137 0.61338629 208 0 150 'Female' 0.5365819 0.46341807 209 0 120 'Male' 0.3880164 0.61198357 210 0 140 'Male' 0.4621778 0.53782224 211 0 128 'Male' 0.4059371 0.59406295 212 0 120 'Male' 0.3880164 0.61198357 213 0 118 'Male' 0.3858872 0.61411279 214 0 145 'Female' 0.4963321 0.50366788 215 0 125 'Male' 0.3974336 0.60256642 216 0 132 'Female' 0.4206827 0.57931727 217 0 130 'Female' 0.4128181 0.58718191 218 0 130 'Male' 0.4128181 0.58718191 219 0 135 'Male' 0.4343486 0.56565138 220 0 130 'Male' 0.4128181 0.58718191 221 0 150 'Female' 0.5365819 0.46341807 222 0 140 'Male' 0.4621778 0.53782224 223 0 138 'Male' 0.4502844 0.54971565 224 0 200 'Female' 0.9568397 0.04316026 225 0 110 'Male' 0.3866137 0.61338629 226 0 145 'Male' 0.4963321 0.50366788 227 0 120 'Male' 0.3880164 0.61198357 228 0 120 'Male' 0.3880164 0.61198357 229 0 170 'Male' 0.7379195 0.26208050 230 0 125 'Male' 0.3974336 0.60256642 231 0 108 'Male' 0.3891086 0.61089142 232 0 165 'Male' 0.6849258 0.31507416 233 0 160 'Male' 0.6323187 0.36768134 234 0 120 'Male' 0.3880164 0.61198357 235 0 130 'Male' 0.4128181 0.58718191 236 0 140 'Male' 0.4621778 0.53782224 237 0 125 'Male' 0.3974336 0.60256642 238 0 140 'Male' 0.4621778 0.53782224 239 0 125 'Male' 0.3974336 0.60256642 240 0 126 'Male' 0.4000276 0.59997237 241 0 160 'Male' 0.6323187 0.36768134 242 0 174 'Female' 0.7789681 0.22103194 243 0 145 'Male' 0.4963321 0.50366788 244 0 152 'Male' 0.5542638 0.44573617 245 0 132 'Male' 0.4206827 0.57931727 246 0 124 'Male' 0.3950781 0.60492192 247 0 134 'Female' 0.4295424 0.57045757 248 0 160 'Male' 0.6323187 0.36768134 249 0 192 'Male' 0.9214861 0.07851393 250 0 140 'Male' 0.4621778 0.53782224 251 0 140 'Male' 0.4621778 0.53782224 252 0 132 'Male' 0.4206827 0.57931727 253 0 138 'Female' 0.4502844 0.54971565 254 0 100 'Male' 0.4085263 0.59147370 255 0 160 'Male' 0.6323187 0.36768134 256 0 142 'Male' 0.4750861 0.52491395 257 0 128 'Male' 0.4059371 0.59406295 258 0 144 'Male' 0.4890014 0.51099861 259 0 150 'Female' 0.5365819 0.46341807 260 0 120 'Male' 0.3880164 0.61198357 261 0 178 'Female' 0.8175342 0.18246584 262 0 112 'Male' 0.3850471 0.61495293 263 0 123 'Male' 0.3929598 0.60704020 264 0 108 'Female' 0.3891086 0.61089142 265 0 110 'Male' 0.3866137 0.61338629 266 0 112 'Male' 0.3850471 0.61495293 267 0 180 'Female' 0.8355671 0.16443288 268 0 118 'Male' 0.3858872 0.61411279 269 0 122 'Male' 0.3910775 0.60892250 270 0 130 'Male' 0.4128181 0.58718191 271 0 120 'Male' 0.3880164 0.61198357 272 0 134 'Male' 0.4295424 0.57045757 273 0 120 'Male' 0.3880164 0.61198357 274 0 100 'Male' 0.4085263 0.59147370 275 0 110 'Male' 0.3866137 0.61338629 276 0 125 'Male' 0.3974336 0.60256642 277 0 146 'Male' 0.5039079 0.49609205 278 0 124 'Male' 0.3950781 0.60492192 279 0 136 'Female' 0.4394072 0.56059285 280 0 138 'Male' 0.4502844 0.54971565 281 0 136 'Male' 0.4394072 0.56059285 282 0 128 'Male' 0.4059371 0.59406295 283 0 126 'Male' 0.4000276 0.59997237 284 0 152 'Male' 0.5542638 0.44573617 285 0 140 'Male' 0.4621778 0.53782224 286 0 140 'Male' 0.4621778 0.53782224 287 0 134 'Male' 0.4295424 0.57045757 288 0 154 'Male' 0.5727633 0.42723673 289 0 110 'Male' 0.3866137 0.61338629 290 0 128 'Female' 0.4059371 0.59406295 291 0 148 'Male' 0.5197803 0.48021970 292 0 114 'Male' 0.3844045 0.61559550 293 0 170 'Female' 0.7379195 0.26208050 294 0 152 'Male' 0.5542638 0.44573617 295 0 120 'Male' 0.3880164 0.61198357 296 0 140 'Male' 0.4621778 0.53782224 297 0 124 'Female' 0.3950781 0.60492192 298 0 164 'Male' 0.6742979 0.32570206 299 0 140 'Female' 0.4621778 0.53782224 300 0 110 'Male' 0.3866137 0.61338629 301 0 144 'Male' 0.4890014 0.51099861 302 0 130 'Male' 0.4128181 0.58718191 303 0 130 'Female' 0.4128181 0.58718191 |