9.1 KiB
9.1 KiB
| 1 | Measure | Value | MaxLeafNodes | |
|---|---|---|---|---|
| 2 | 0 | Accuracy | 0.8786791098348887 | 2 |
| 3 | 1 | F1Score | 0.48318042813455664 | 2 |
| 4 | 2 | Accuracy | 0.9404163675520459 | 10 |
| 5 | 3 | F1Score | 0.7844155844155843 | 10 |
| 6 | 4 | Accuracy | 0.95908111988514 | 20 |
| 7 | 5 | F1Score | 0.841225626740947 | 20 |
| 8 | 6 | Accuracy | 0.9626704953338119 | 30 |
| 9 | 7 | F1Score | 0.8547486033519553 | 30 |
| 10 | 8 | Accuracy | 0.968413496051687 | 40 |
| 11 | 9 | F1Score | 0.8784530386740332 | 40 |
| 12 | 10 | Accuracy | 0.9669777458722182 | 50 |
| 13 | 11 | F1Score | 0.87292817679558 | 50 |
| 14 | 12 | Accuracy | 0.9626704953338119 | 60 |
| 15 | 13 | F1Score | 0.8609625668449198 | 60 |
| 16 | 14 | Accuracy | 0.9655419956927495 | 70 |
| 17 | 15 | F1Score | 0.8688524590163934 | 70 |
| 18 | 16 | Accuracy | 0.964824120603015 | 80 |
| 19 | 17 | F1Score | 0.8672086720867209 | 80 |
| 20 | 18 | Accuracy | 0.9626704953338119 | 90 |
| 21 | 19 | F1Score | 0.8631578947368422 | 90 |
| 22 | 20 | Accuracy | 0.9641062455132807 | 100 |
| 23 | 21 | F1Score | 0.8648648648648649 | 100 |
| 24 | 22 | Accuracy | 0.9612347451543432 | 110 |
| 25 | 23 | F1Score | 0.8556149732620321 | 110 |
| 26 | 24 | Accuracy | 0.9641062455132807 | 120 |
| 27 | 25 | F1Score | 0.8670212765957447 | 120 |
| 28 | 26 | Accuracy | 0.9655419956927495 | 130 |
| 29 | 27 | F1Score | 0.8723404255319149 | 130 |
| 30 | 28 | Accuracy | 0.9655419956927495 | 140 |
| 31 | 29 | F1Score | 0.8702702702702703 | 140 |
| 32 | 30 | Accuracy | 0.9633883704235463 | 150 |
| 33 | 31 | F1Score | 0.8647214854111406 | 150 |
| 34 | 32 | Accuracy | 0.9605168700646087 | 160 |
| 35 | 33 | F1Score | 0.8517520215633423 | 160 |
| 36 | 34 | Accuracy | 0.9612347451543432 | 170 |
| 37 | 35 | F1Score | 0.8571428571428572 | 170 |
| 38 | 36 | Accuracy | 0.9641062455132807 | 180 |
| 39 | 37 | F1Score | 0.8648648648648649 | 180 |
| 40 | 38 | Accuracy | 0.9576453697056713 | 190 |
| 41 | 39 | F1Score | 0.8426666666666667 | 190 |
| 42 | 40 | Accuracy | 0.9662598707824839 | 200 |
| 43 | 41 | F1Score | 0.872628726287263 | 200 |
| 44 | 42 | Accuracy | 0.9612347451543432 | 210 |
| 45 | 43 | F1Score | 0.8578947368421053 | 210 |
| 46 | 44 | Accuracy | 0.9669777458722182 | 220 |
| 47 | 45 | F1Score | 0.8763440860215054 | 220 |
| 48 | 46 | Accuracy | 0.9619526202440776 | 230 |
| 49 | 47 | F1Score | 0.8601583113456465 | 230 |
| 50 | 48 | Accuracy | 0.9669777458722182 | 240 |
| 51 | 49 | F1Score | 0.8756756756756757 | 240 |
| 52 | 50 | Accuracy | 0.964824120603015 | 250 |
| 53 | 51 | F1Score | 0.8679245283018868 | 250 |
| 54 | 52 | Accuracy | 0.9641062455132807 | 260 |
| 55 | 53 | F1Score | 0.8670212765957447 | 260 |
| 56 | 54 | Accuracy | 0.8786791098348887 | 2 |
| 57 | 55 | F1Score | 0.48318042813455664 | 2 |
| 58 | 56 | Accuracy | 0.9382627422828428 | 10 |
| 59 | 57 | F1Score | 0.7783505154639175 | 10 |
| 60 | 58 | Accuracy | 0.95908111988514 | 20 |
| 61 | 59 | F1Score | 0.8463611859838276 | 20 |
| 62 | 60 | Accuracy | 0.9633883704235463 | 30 |
| 63 | 61 | F1Score | 0.8571428571428571 | 30 |
| 64 | 62 | Accuracy | 0.9698492462311558 | 40 |
| 65 | 63 | F1Score | 0.8820224719101123 | 40 |
| 66 | 64 | Accuracy | 0.968413496051687 | 50 |
| 67 | 65 | F1Score | 0.8791208791208792 | 50 |
| 68 | 66 | Accuracy | 0.9626704953338119 | 60 |
| 69 | 67 | F1Score | 0.8586956521739131 | 60 |
| 70 | 68 | Accuracy | 0.964824120603015 | 70 |
| 71 | 69 | F1Score | 0.8693333333333333 | 70 |
| 72 | 70 | Accuracy | 0.964824120603015 | 80 |
| 73 | 71 | F1Score | 0.8679245283018868 | 80 |
| 74 | 72 | Accuracy | 0.9655419956927495 | 90 |
| 75 | 73 | F1Score | 0.8702702702702703 | 90 |
| 76 | 74 | Accuracy | 0.9612347451543432 | 100 |
| 77 | 75 | F1Score | 0.8556149732620321 | 100 |
| 78 | 76 | Accuracy | 0.9612347451543432 | 110 |
| 79 | 77 | F1Score | 0.8532608695652173 | 110 |
| 80 | 78 | Accuracy | 0.9612347451543432 | 120 |
| 81 | 79 | F1Score | 0.8586387434554974 | 120 |
| 82 | 80 | Accuracy | 0.9676956209619526 | 130 |
| 83 | 81 | F1Score | 0.88 | 130 |
| 84 | 82 | Accuracy | 0.9655419956927495 | 140 |
| 85 | 83 | F1Score | 0.8709677419354839 | 140 |
| 86 | 84 | Accuracy | 0.9626704953338119 | 150 |
| 87 | 85 | F1Score | 0.8624338624338624 | 150 |
| 88 | 86 | Accuracy | 0.968413496051687 | 160 |
| 89 | 87 | F1Score | 0.8810810810810811 | 160 |
| 90 | 88 | Accuracy | 0.9641062455132807 | 170 |
| 91 | 89 | F1Score | 0.8655913978494624 | 170 |
| 92 | 90 | Accuracy | 0.9641062455132807 | 180 |
| 93 | 91 | F1Score | 0.868421052631579 | 180 |
| 94 | 92 | Accuracy | 0.9597989949748744 | 190 |
| 95 | 93 | F1Score | 0.8526315789473685 | 190 |
| 96 | 94 | Accuracy | 0.9605168700646087 | 200 |
| 97 | 95 | F1Score | 0.8533333333333334 | 200 |
| 98 | 96 | Accuracy | 0.9676956209619526 | 210 |
| 99 | 97 | F1Score | 0.8787061994609164 | 210 |
| 100 | 98 | Accuracy | 0.9619526202440776 | 220 |
| 101 | 99 | F1Score | 0.8579088471849866 | 220 |
| 102 | 100 | Accuracy | 0.9641062455132807 | 230 |
| 103 | 101 | F1Score | 0.8663101604278075 | 230 |
| 104 | 102 | Accuracy | 0.964824120603015 | 240 |
| 105 | 103 | F1Score | 0.8664850136239781 | 240 |
| 106 | 104 | Accuracy | 0.9641062455132807 | 250 |
| 107 | 105 | F1Score | 0.8677248677248677 | 250 |
| 108 | 106 | Accuracy | 0.9662598707824839 | 260 |
| 109 | 107 | F1Score | 0.873994638069705 | 260 |
| 110 | 108 | Accuracy | 0.8786791098348887 | 2 |
| 111 | 109 | F1Score | 0.48318042813455664 | 2 |
| 112 | 110 | Accuracy | 0.9382627422828428 | 10 |
| 113 | 111 | F1Score | 0.7783505154639175 | 10 |
| 114 | 112 | Accuracy | 0.9597989949748744 | 20 |
| 115 | 113 | F1Score | 0.849462365591398 | 20 |
| 116 | 114 | Accuracy | 0.964824120603015 | 30 |
| 117 | 115 | F1Score | 0.8635097493036211 | 30 |
| 118 | 116 | Accuracy | 0.9662598707824839 | 40 |
| 119 | 117 | F1Score | 0.8705234159779616 | 40 |
| 120 | 118 | Accuracy | 0.9691313711414213 | 50 |
| 121 | 119 | F1Score | 0.8802228412256268 | 50 |
| 122 | 120 | Accuracy | 0.9655419956927495 | 60 |
| 123 | 121 | F1Score | 0.8709677419354839 | 60 |
| 124 | 122 | Accuracy | 0.9633883704235463 | 70 |
| 125 | 123 | F1Score | 0.8647214854111406 | 70 |
| 126 | 124 | Accuracy | 0.9569274946159368 | 80 |
| 127 | 125 | F1Score | 0.8412698412698413 | 80 |
| 128 | 126 | Accuracy | 0.9633883704235463 | 90 |
| 129 | 127 | F1Score | 0.8640000000000001 | 90 |
| 130 | 128 | Accuracy | 0.9619526202440776 | 100 |
| 131 | 129 | F1Score | 0.8601583113456465 | 100 |
| 132 | 130 | Accuracy | 0.9576453697056713 | 110 |
| 133 | 131 | F1Score | 0.8426666666666667 | 110 |
| 134 | 132 | Accuracy | 0.9612347451543432 | 120 |
| 135 | 133 | F1Score | 0.8571428571428572 | 120 |
| 136 | 134 | Accuracy | 0.9633883704235463 | 130 |
| 137 | 135 | F1Score | 0.8640000000000001 | 130 |
| 138 | 136 | Accuracy | 0.9669777458722182 | 140 |
| 139 | 137 | F1Score | 0.8756756756756757 | 140 |
| 140 | 138 | Accuracy | 0.9612347451543432 | 150 |
| 141 | 139 | F1Score | 0.8548387096774193 | 150 |
| 142 | 140 | Accuracy | 0.9612347451543432 | 160 |
| 143 | 141 | F1Score | 0.8524590163934427 | 160 |
| 144 | 142 | Accuracy | 0.9619526202440776 | 170 |
| 145 | 143 | F1Score | 0.8594164456233423 | 170 |
| 146 | 144 | Accuracy | 0.9633883704235463 | 180 |
| 147 | 145 | F1Score | 0.861788617886179 | 180 |
| 148 | 146 | Accuracy | 0.9669777458722182 | 190 |
| 149 | 147 | F1Score | 0.8756756756756757 | 190 |
| 150 | 148 | Accuracy | 0.95908111988514 | 200 |
| 151 | 149 | F1Score | 0.8488063660477454 | 200 |
| 152 | 150 | Accuracy | 0.9626704953338119 | 210 |
| 153 | 151 | F1Score | 0.860215053763441 | 210 |
| 154 | 152 | Accuracy | 0.9655419956927495 | 220 |
| 155 | 153 | F1Score | 0.8709677419354839 | 220 |
| 156 | 154 | Accuracy | 0.9633883704235463 | 230 |
| 157 | 155 | F1Score | 0.8632707774798928 | 230 |
| 158 | 156 | Accuracy | 0.9655419956927495 | 240 |
| 159 | 157 | F1Score | 0.8723404255319149 | 240 |
| 160 | 158 | Accuracy | 0.968413496051687 | 250 |
| 161 | 159 | F1Score | 0.8810810810810811 | 250 |
| 162 | 160 | Accuracy | 0.964824120603015 | 260 |
| 163 | 161 | F1Score | 0.8672086720867209 | 260 |
| 164 | 162 | Accuracy | 0.8786791098348887 | 2 |
| 165 | 163 | F1Score | 0.48318042813455664 | 2 |
| 166 | 164 | Accuracy | 0.9404163675520459 | 10 |
| 167 | 165 | F1Score | 0.7844155844155843 | 10 |
| 168 | 166 | Accuracy | 0.9569274946159368 | 20 |
| 169 | 167 | F1Score | 0.8351648351648352 | 20 |
| 170 | 168 | Accuracy | 0.9612347451543432 | 30 |
| 171 | 169 | F1Score | 0.848314606741573 | 30 |
| 172 | 170 | Accuracy | 0.9676956209619526 | 40 |
| 173 | 171 | F1Score | 0.8760330578512396 | 40 |
| 174 | 172 | Accuracy | 0.9669777458722182 | 50 |
| 175 | 173 | F1Score | 0.87292817679558 | 50 |
| 176 | 174 | Accuracy | 0.9655419956927495 | 60 |
| 177 | 175 | F1Score | 0.8709677419354839 | 60 |
| 178 | 176 | Accuracy | 0.9662598707824839 | 70 |
| 179 | 177 | F1Score | 0.8733153638814016 | 70 |
| 180 | 178 | Accuracy | 0.9626704953338119 | 80 |
| 181 | 179 | F1Score | 0.8617021276595744 | 80 |
| 182 | 180 | Accuracy | 0.9662598707824839 | 90 |
| 183 | 181 | F1Score | 0.8746666666666667 | 90 |
| 184 | 182 | Accuracy | 0.9655419956927495 | 100 |
| 185 | 183 | F1Score | 0.8709677419354839 | 100 |
| 186 | 184 | Accuracy | 0.9626704953338119 | 110 |
| 187 | 185 | F1Score | 0.8617021276595744 | 110 |
| 188 | 186 | Accuracy | 0.9641062455132807 | 120 |
| 189 | 187 | F1Score | 0.8670212765957447 | 120 |
| 190 | 188 | Accuracy | 0.964824120603015 | 130 |
| 191 | 189 | F1Score | 0.8679245283018868 | 130 |
| 192 | 190 | Accuracy | 0.9641062455132807 | 140 |
| 193 | 191 | F1Score | 0.8655913978494624 | 140 |
| 194 | 192 | Accuracy | 0.9655419956927495 | 150 |
| 195 | 193 | F1Score | 0.8716577540106951 | 150 |
| 196 | 194 | Accuracy | 0.9669777458722182 | 160 |
| 197 | 195 | F1Score | 0.8756756756756757 | 160 |
| 198 | 196 | Accuracy | 0.9597989949748744 | 170 |
| 199 | 197 | F1Score | 0.8478260869565218 | 170 |
| 200 | 198 | Accuracy | 0.9605168700646087 | 180 |
| 201 | 199 | F1Score | 0.8556430446194225 | 180 |
| 202 | 200 | Accuracy | 0.9669777458722182 | 190 |
| 203 | 201 | F1Score | 0.8770053475935828 | 190 |
| 204 | 202 | Accuracy | 0.964824120603015 | 200 |
| 205 | 203 | F1Score | 0.8686327077747988 | 200 |
| 206 | 204 | Accuracy | 0.9655419956927495 | 210 |
| 207 | 205 | F1Score | 0.8709677419354839 | 210 |
| 208 | 206 | Accuracy | 0.9641062455132807 | 220 |
| 209 | 207 | F1Score | 0.8677248677248677 | 220 |
| 210 | 208 | Accuracy | 0.9691313711414213 | 230 |
| 211 | 209 | F1Score | 0.8840970350404314 | 230 |
| 212 | 210 | Accuracy | 0.9612347451543432 | 240 |
| 213 | 211 | F1Score | 0.8578947368421053 | 240 |
| 214 | 212 | Accuracy | 0.9655419956927495 | 250 |
| 215 | 213 | F1Score | 0.8709677419354839 | 250 |
| 216 | 214 | Accuracy | 0.9633883704235463 | 260 |
| 217 | 215 | F1Score | 0.8647214854111406 | 260 |
| 218 | 216 | Accuracy | 0.8786791098348887 | 2 |
| 219 | 217 | F1Score | 0.48318042813455664 | 2 |
| 220 | 218 | Accuracy | 0.9382627422828428 | 10 |
| 221 | 219 | F1Score | 0.7783505154639175 | 10 |
| 222 | 220 | Accuracy | 0.9597989949748744 | 20 |
| 223 | 221 | F1Score | 0.8435754189944135 | 20 |
| 224 | 222 | Accuracy | 0.9626704953338119 | 30 |
| 225 | 223 | F1Score | 0.8547486033519553 | 30 |
| 226 | 224 | Accuracy | 0.9655419956927495 | 40 |
| 227 | 225 | F1Score | 0.8666666666666667 | 40 |
| 228 | 226 | Accuracy | 0.9705671213208902 | 50 |
| 229 | 227 | F1Score | 0.8864265927977839 | 50 |
| 230 | 228 | Accuracy | 0.9633883704235463 | 60 |
| 231 | 229 | F1Score | 0.8610354223433242 | 60 |
| 232 | 230 | Accuracy | 0.964824120603015 | 70 |
| 233 | 231 | F1Score | 0.8672086720867209 | 70 |
| 234 | 232 | Accuracy | 0.9633883704235463 | 80 |
| 235 | 233 | F1Score | 0.8625336927223719 | 80 |
| 236 | 234 | Accuracy | 0.9669777458722182 | 90 |
| 237 | 235 | F1Score | 0.8770053475935828 | 90 |
| 238 | 236 | Accuracy | 0.9676956209619526 | 100 |
| 239 | 237 | F1Score | 0.8787061994609164 | 100 |
| 240 | 238 | Accuracy | 0.9655419956927495 | 110 |
| 241 | 239 | F1Score | 0.8716577540106951 | 110 |
| 242 | 240 | Accuracy | 0.9619526202440776 | 120 |
| 243 | 241 | F1Score | 0.8601583113456465 | 120 |
| 244 | 242 | Accuracy | 0.9662598707824839 | 130 |
| 245 | 243 | F1Score | 0.8733153638814016 | 130 |
| 246 | 244 | Accuracy | 0.9698492462311558 | 140 |
| 247 | 245 | F1Score | 0.8864864864864865 | 140 |
| 248 | 246 | Accuracy | 0.9669777458722182 | 150 |
| 249 | 247 | F1Score | 0.8776595744680851 | 150 |
| 250 | 248 | Accuracy | 0.9641062455132807 | 160 |
| 251 | 249 | F1Score | 0.8626373626373626 | 160 |
| 252 | 250 | Accuracy | 0.9655419956927495 | 170 |
| 253 | 251 | F1Score | 0.8736842105263158 | 170 |
| 254 | 252 | Accuracy | 0.9641062455132807 | 180 |
| 255 | 253 | F1Score | 0.8677248677248677 | 180 |
| 256 | 254 | Accuracy | 0.9669777458722182 | 190 |
| 257 | 255 | F1Score | 0.8776595744680851 | 190 |
| 258 | 256 | Accuracy | 0.9662598707824839 | 200 |
| 259 | 257 | F1Score | 0.8753315649867375 | 200 |
| 260 | 258 | Accuracy | 0.9626704953338119 | 210 |
| 261 | 259 | F1Score | 0.8638743455497383 | 210 |
| 262 | 260 | Accuracy | 0.964824120603015 | 220 |
| 263 | 261 | F1Score | 0.8693333333333333 | 220 |
| 264 | 262 | Accuracy | 0.9662598707824839 | 230 |
| 265 | 263 | F1Score | 0.8746666666666667 | 230 |
| 266 | 264 | Accuracy | 0.9641062455132807 | 240 |
| 267 | 265 | F1Score | 0.8648648648648649 | 240 |
| 268 | 266 | Accuracy | 0.9669777458722182 | 250 |
| 269 | 267 | F1Score | 0.8756756756756757 | 250 |
| 270 | 268 | Accuracy | 0.9669777458722182 | 260 |
| 271 | 269 | F1Score | 0.8763440860215054 | 260 |