File size: 31,601 Bytes
9b0d18c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 | evaluate 0 acc = 0.6806366047745358 acc_and_f1_macro = 0.6333078408252777 acc_and_f1_weighted = 0.6665327086776933 class_f1 = [np.float64(nan), np.float64(0.5639913232104121), np.float64(0.7104622871046229), np.float64(0.07100591715976332), np.float64(0.5421903052064633), np.float64(0.5886524822695035), np.float64(0.8875), np.float64(0.83248730964467), np.float64(0.9026315789473686), np.float64(0.7608695652173912)] class_p = [np.float64(nan), np.float64(0.5220883534136547), np.float64(0.6636363636363637), np.float64(1.0), np.float64(0.47335423197492166), np.float64(0.5533333333333333), np.float64(0.8875), np.float64(0.7961165048543689), np.float64(0.9245283018867925), np.float64(0.6481481481481481)] class_r = [np.float64(0.0), np.float64(0.6132075471698113), np.float64(0.7643979057591623), np.float64(0.03680981595092025), np.float64(0.634453781512605), np.float64(0.6287878787878788), np.float64(0.8875), np.float64(0.8723404255319149), np.float64(0.8817480719794345), np.float64(0.9210526315789473)] confusion_matrix = [[ 0 8 0 0 14 20 0 0 0 0] [ 0 130 64 0 4 10 0 0 0 4] [ 0 37 146 0 6 2 0 0 0 0] [ 0 19 6 6 80 49 0 0 0 3] [ 0 30 2 0 151 51 0 0 0 4] [ 0 24 2 0 64 166 0 0 0 8] [ 0 0 0 0 0 0 142 6 12 0] [ 0 0 0 0 0 0 8 164 16 0] [ 0 0 0 0 0 0 10 36 343 0] [ 0 1 0 0 0 2 0 0 0 35]] f1_macro = 0.5859790768760196 f1_weighted = 0.6524288125808508 evaluate 1 acc = 0.7310344827586207 acc_and_f1_macro = 0.697348297855418 acc_and_f1_weighted = 0.7271787706287073 class_f1 = [np.float64(nan), np.float64(0.7256637168141593), np.float64(0.7867036011080333), np.float64(0.4977168949771689), np.float64(0.4875346260387812), np.float64(0.6376811594202899), np.float64(0.9240506329113924), np.float64(0.8426395939086295), np.float64(0.9164490861618799), np.float64(0.8181818181818181)] class_p = [np.float64(nan), np.float64(0.6833333333333333), np.float64(0.8352941176470589), np.float64(0.39636363636363636), np.float64(0.7154471544715447), np.float64(0.6111111111111112), np.float64(0.9358974358974359), np.float64(0.8058252427184466), np.float64(0.9310344827586207), np.float64(0.72)] class_r = [np.float64(0.0), np.float64(0.7735849056603774), np.float64(0.743455497382199), np.float64(0.6687116564417178), np.float64(0.3697478991596639), np.float64(0.6666666666666666), np.float64(0.9125), np.float64(0.8829787234042553), np.float64(0.9023136246786633), np.float64(0.9473684210526315)] confusion_matrix = [[ 0 4 0 30 0 8 0 0 0 0] [ 0 164 16 2 4 26 0 0 0 0] [ 0 34 142 4 7 4 0 0 0 0] [ 0 9 6 109 16 21 0 0 0 2] [ 0 20 4 68 88 52 0 2 0 4] [ 0 8 2 62 8 176 0 0 0 8] [ 0 0 0 0 0 0 146 6 8 0] [ 0 0 0 0 0 0 4 166 18 0] [ 0 0 0 0 0 0 6 32 351 0] [ 0 1 0 0 0 1 0 0 0 36]] f1_macro = 0.6636621129522153 f1_weighted = 0.7233230584987939 evaluate 2 acc = 0.7326259946949603 acc_and_f1_macro = 0.7081346759194237 acc_and_f1_weighted = 0.7308115745754664 class_f1 = [np.float64(0.08695652173913042), np.float64(0.6926829268292682), np.float64(0.7713498622589532), np.float64(0.4972972972972972), np.float64(0.5315315315315315), np.float64(0.6519524617996605), np.float64(0.920245398773006), np.float64(0.8571428571428571), np.float64(0.9083557951482479), np.float64(0.918918918918919)] class_p = [np.float64(0.5), np.float64(0.7171717171717171), np.float64(0.813953488372093), np.float64(0.4444444444444444), np.float64(0.5728155339805825), np.float64(0.5907692307692308), np.float64(0.9036144578313253), np.float64(0.7981651376146789), np.float64(0.9546742209631728), np.float64(0.9444444444444444)] class_r = [np.float64(0.047619047619047616), np.float64(0.6698113207547169), np.float64(0.7329842931937173), np.float64(0.5644171779141104), np.float64(0.4957983193277311), np.float64(0.7272727272727273), np.float64(0.9375), np.float64(0.925531914893617), np.float64(0.8663239074550129), np.float64(0.8947368421052632)] confusion_matrix = [[ 2 4 0 22 0 14 0 0 0 0] [ 0 142 20 4 14 32 0 0 0 0] [ 0 26 140 6 11 8 0 0 0 0] [ 0 6 6 92 32 27 0 0 0 0] [ 2 14 4 49 118 49 0 0 0 2] [ 0 6 2 34 30 192 0 0 0 0] [ 0 0 0 0 0 0 150 2 8 0] [ 0 0 0 0 0 0 6 174 8 0] [ 0 0 0 0 0 0 10 42 337 0] [ 0 0 0 0 1 3 0 0 0 34]] f1_macro = 0.6836433571438871 f1_weighted = 0.7289971544559726 evaluate 3 acc = 0.7336870026525198 acc_and_f1_macro = 0.7121637477914753 acc_and_f1_weighted = 0.7307644212152906 class_f1 = [np.float64(0.25396825396825395), np.float64(0.7017543859649122), np.float64(0.7977207977207976), np.float64(0.4697986577181208), np.float64(0.5409090909090909), np.float64(0.6599999999999999), np.float64(0.9182389937106918), np.float64(0.7987987987987988), np.float64(0.9015795868772782), np.float64(0.8636363636363636)] class_p = [np.float64(0.38095238095238093), np.float64(0.6557377049180327), np.float64(0.875), np.float64(0.5185185185185185), np.float64(0.5891089108910891), np.float64(0.5892857142857143), np.float64(0.9240506329113924), np.float64(0.9172413793103448), np.float64(0.8548387096774194), np.float64(0.76)] class_r = [np.float64(0.19047619047619047), np.float64(0.7547169811320755), np.float64(0.7329842931937173), np.float64(0.4294478527607362), np.float64(0.5), np.float64(0.75), np.float64(0.9125), np.float64(0.7074468085106383), np.float64(0.9537275064267352), np.float64(1.0)] confusion_matrix = [[ 8 4 0 8 4 18 0 0 0 0] [ 2 160 10 0 12 28 0 0 0 0] [ 0 38 140 0 5 6 0 0 0 2] [ 7 10 6 70 36 34 0 0 0 0] [ 2 24 2 35 119 52 0 0 0 4] [ 2 8 2 22 26 198 0 0 0 6] [ 0 0 0 0 0 0 146 2 12 0] [ 0 0 0 0 0 0 4 133 51 0] [ 0 0 0 0 0 0 8 10 371 0] [ 0 0 0 0 0 0 0 0 0 38]] f1_macro = 0.6906404929304307 f1_weighted = 0.7278418397780613 evaluate 4 acc = 0.7347480106100795 acc_and_f1_macro = 0.7102660878593708 acc_and_f1_weighted = 0.7308570794214094 class_f1 = [np.float64(0.21428571428571427), np.float64(0.6879271070615034), np.float64(0.7570332480818416), np.float64(0.44280442804428044), np.float64(0.5466377440347071), np.float64(0.6610455311973019), np.float64(0.9240506329113924), np.float64(0.8404255319148938), np.float64(0.9130434782608695), np.float64(0.8705882352941177)] class_p = [np.float64(0.42857142857142855), np.float64(0.6651982378854625), np.float64(0.74), np.float64(0.5555555555555556), np.float64(0.5650224215246636), np.float64(0.5957446808510638), np.float64(0.9358974358974359), np.float64(0.8404255319148937), np.float64(0.9083969465648855), np.float64(0.7872340425531915)] class_r = [np.float64(0.14285714285714285), np.float64(0.7122641509433962), np.float64(0.774869109947644), np.float64(0.36809815950920244), np.float64(0.5294117647058824), np.float64(0.7424242424242424), np.float64(0.9125), np.float64(0.8404255319148937), np.float64(0.9177377892030848), np.float64(0.9736842105263158)] confusion_matrix = [[ 6 3 1 10 2 20 0 0 0 0] [ 0 151 31 0 10 20 0 0 0 0] [ 0 30 148 0 9 2 0 0 0 2] [ 2 10 8 60 46 37 0 0 0 0] [ 4 26 6 18 126 54 0 0 0 4] [ 2 6 6 20 30 196 0 0 0 4] [ 0 0 0 0 0 0 146 4 10 0] [ 0 0 0 0 0 0 4 158 26 0] [ 0 0 0 0 0 0 6 26 357 0] [ 0 1 0 0 0 0 0 0 0 37]] f1_macro = 0.6857841651086621 f1_weighted = 0.7269661482327393 evaluate 5 acc = 0.7389920424403184 acc_and_f1_macro = 0.7199796152721372 acc_and_f1_weighted = 0.7370592832918494 class_f1 = [np.float64(0.3174603174603175), np.float64(0.7111111111111111), np.float64(0.8), np.float64(0.4794520547945205), np.float64(0.5632653061224491), np.float64(0.6446886446886447), np.float64(0.9171974522292993), np.float64(0.8268156424581007), np.float64(0.9052369077306732), np.float64(0.8444444444444443)] class_p = [np.float64(0.47619047619047616), np.float64(0.6722689075630253), np.float64(0.8390804597701149), np.float64(0.5426356589147286), np.float64(0.5476190476190477), np.float64(0.624113475177305), np.float64(0.935064935064935), np.float64(0.8705882352941177), np.float64(0.8789346246973365), np.float64(0.7307692307692307)] class_r = [np.float64(0.23809523809523808), np.float64(0.7547169811320755), np.float64(0.7643979057591623), np.float64(0.4294478527607362), np.float64(0.5798319327731093), np.float64(0.6666666666666666), np.float64(0.9), np.float64(0.7872340425531915), np.float64(0.9331619537275064), np.float64(1.0)] confusion_matrix = [[ 10 4 0 12 2 14 0 0 0 0] [ 2 160 14 0 12 22 0 0 0 2] [ 0 32 146 0 9 2 0 0 0 2] [ 3 12 6 70 47 25 0 0 0 0] [ 6 22 4 21 138 43 0 0 0 4] [ 0 8 4 26 44 176 0 0 0 6] [ 0 0 0 0 0 0 144 2 14 0] [ 0 0 0 0 0 0 4 148 36 0] [ 0 0 0 0 0 0 6 20 363 0] [ 0 0 0 0 0 0 0 0 0 38]] f1_macro = 0.700967188103956 f1_weighted = 0.7351265241433806 evaluate 6 acc = 0.7405835543766578 acc_and_f1_macro = 0.7229261910246172 acc_and_f1_weighted = 0.7388530712580481 class_f1 = [np.float64(0.35714285714285715), np.float64(0.7216035634743876), np.float64(0.7872340425531915), np.float64(0.5), np.float64(0.5347368421052632), np.float64(0.6429906542056075), np.float64(0.9240506329113924), np.float64(0.8404255319148938), np.float64(0.9130434782608695), np.float64(0.8314606741573034)] class_p = [np.float64(0.7142857142857143), np.float64(0.6835443037974683), np.float64(0.8), np.float64(0.5163398692810458), np.float64(0.5358649789029536), np.float64(0.6346863468634686), np.float64(0.9358974358974359), np.float64(0.8404255319148937), np.float64(0.9083969465648855), np.float64(0.7254901960784313)] class_r = [np.float64(0.23809523809523808), np.float64(0.7641509433962265), np.float64(0.774869109947644), np.float64(0.48466257668711654), np.float64(0.5336134453781513), np.float64(0.6515151515151515), np.float64(0.9125), np.float64(0.8404255319148937), np.float64(0.9177377892030848), np.float64(0.9736842105263158)] confusion_matrix = [[ 10 3 1 12 0 16 0 0 0 0] [ 0 162 18 0 12 18 0 0 0 2] [ 0 30 148 0 9 2 0 0 0 2] [ 0 11 8 79 45 20 0 0 0 0] [ 4 24 4 32 127 43 0 0 0 4] [ 0 6 6 30 44 172 0 0 0 6] [ 0 0 0 0 0 0 146 4 10 0] [ 0 0 0 0 0 0 4 158 26 0] [ 0 0 0 0 0 0 6 26 357 0] [ 0 1 0 0 0 0 0 0 0 37]] f1_macro = 0.7052688276725765 f1_weighted = 0.7371225881394384 evaluate 7 acc = 0.7416445623342175 acc_and_f1_macro = 0.7243061135649642 acc_and_f1_weighted = 0.7398550905547492 class_f1 = [np.float64(0.37037037037037035), np.float64(0.7142857142857143), np.float64(0.7893333333333332), np.float64(0.5015873015873016), np.float64(0.5366876310272536), np.float64(0.6394052044609665), np.float64(0.920245398773006), np.float64(0.8493150684931507), np.float64(0.9169859514687101), np.float64(0.8314606741573034)] class_p = [np.float64(0.8333333333333334), np.float64(0.6779661016949152), np.float64(0.8043478260869565), np.float64(0.5197368421052632), np.float64(0.5355648535564853), np.float64(0.6277372262773723), np.float64(0.9036144578313253), np.float64(0.8757062146892656), np.float64(0.9111675126903553), np.float64(0.7254901960784313)] class_r = [np.float64(0.23809523809523808), np.float64(0.7547169811320755), np.float64(0.774869109947644), np.float64(0.48466257668711654), np.float64(0.5378151260504201), np.float64(0.6515151515151515), np.float64(0.9375), np.float64(0.824468085106383), np.float64(0.922879177377892), np.float64(0.9736842105263158)] confusion_matrix = [[ 10 4 0 11 1 16 0 0 0 0] [ 0 160 18 0 12 20 0 0 0 2] [ 0 30 148 0 9 2 0 0 0 2] [ 0 11 8 79 45 20 0 0 0 0] [ 2 24 4 32 128 44 0 0 0 4] [ 0 6 6 30 44 172 0 0 0 6] [ 0 0 0 0 0 0 150 2 8 0] [ 0 0 0 0 0 0 6 155 27 0] [ 0 0 0 0 0 0 10 20 359 0] [ 0 1 0 0 0 0 0 0 0 37]] f1_macro = 0.706967664795711 f1_weighted = 0.7380656187752809 evaluate 8 acc = 0.7389920424403184 acc_and_f1_macro = 0.7191612753022021 acc_and_f1_weighted = 0.7371708026775668 class_f1 = [np.float64(0.3076923076923077), np.float64(0.7142857142857143), np.float64(0.7851458885941645), np.float64(0.48543689320388356), np.float64(0.5327868852459017), np.float64(0.6303939962476547), np.float64(0.9182389937106918), np.float64(0.8682926829268293), np.float64(0.9195710455764076), np.float64(0.8314606741573034)] class_p = [np.float64(0.8), np.float64(0.6779661016949152), np.float64(0.7956989247311828), np.float64(0.5136986301369864), np.float64(0.52), np.float64(0.6245353159851301), np.float64(0.9240506329113924), np.float64(0.8018018018018018), np.float64(0.9607843137254902), np.float64(0.7254901960784313)] class_r = [np.float64(0.19047619047619047), np.float64(0.7547169811320755), np.float64(0.774869109947644), np.float64(0.4601226993865031), np.float64(0.5462184873949579), np.float64(0.6363636363636364), np.float64(0.9125), np.float64(0.9468085106382979), np.float64(0.8817480719794345), np.float64(0.9736842105263158)] confusion_matrix = [[ 8 4 0 11 1 18 0 0 0 0] [ 0 160 20 0 12 18 0 0 0 2] [ 0 30 148 0 9 2 0 0 0 2] [ 0 11 8 75 50 19 0 0 0 0] [ 2 24 4 30 130 44 0 0 0 4] [ 0 6 6 30 48 168 0 0 0 6] [ 0 0 0 0 0 0 146 6 8 0] [ 0 0 0 0 0 0 4 178 6 0] [ 0 0 0 0 0 0 8 38 343 0] [ 0 1 0 0 0 0 0 0 0 37]] f1_macro = 0.6993305081640858 f1_weighted = 0.7353495629148153 evaluate 9 acc = 0.7469496021220159 acc_and_f1_macro = 0.7279048663503407 acc_and_f1_weighted = 0.7449777723566162 class_f1 = [np.float64(0.3076923076923077), np.float64(0.7207207207207208), np.float64(0.7830687830687831), np.float64(0.5236593059936907), np.float64(0.5481171548117155), np.float64(0.6420664206642066), np.float64(0.9068322981366459), np.float64(0.8602150537634409), np.float64(0.9256410256410256), np.float64(0.8705882352941177)] class_p = [np.float64(0.8), np.float64(0.6896551724137931), np.float64(0.7914438502673797), np.float64(0.538961038961039), np.float64(0.5458333333333333), np.float64(0.6258992805755396), np.float64(0.9012345679012346), np.float64(0.8695652173913043), np.float64(0.9232736572890026), np.float64(0.7872340425531915)] class_r = [np.float64(0.19047619047619047), np.float64(0.7547169811320755), np.float64(0.774869109947644), np.float64(0.50920245398773), np.float64(0.5504201680672269), np.float64(0.6590909090909091), np.float64(0.9125), np.float64(0.851063829787234), np.float64(0.9280205655526992), np.float64(0.9736842105263158)] confusion_matrix = [[ 8 3 1 11 3 16 0 0 0 0] [ 0 160 18 2 10 22 0 0 0 0] [ 0 30 148 0 9 2 0 0 0 2] [ 0 11 8 83 41 20 0 0 0 0] [ 2 21 6 30 131 44 0 0 0 4] [ 0 6 6 28 46 174 0 0 0 4] [ 0 0 0 0 0 0 146 6 8 0] [ 0 0 0 0 0 0 6 160 22 0] [ 0 0 0 0 0 0 10 18 361 0] [ 0 1 0 0 0 0 0 0 0 37]] f1_macro = 0.7088601305786655 f1_weighted = 0.7430059425912167 evaluate 10 acc = 0.7442970822281167 acc_and_f1_macro = 0.7248709434383627 acc_and_f1_weighted = 0.742373022464857 class_f1 = [np.float64(0.3076923076923077), np.float64(0.7174887892376682), np.float64(0.7789473684210527), np.float64(0.5142857142857143), np.float64(0.5416666666666666), np.float64(0.6268656716417911), np.float64(0.9182389937106918), np.float64(0.8717948717948718), np.float64(0.926892950391645), np.float64(0.8505747126436782)] class_p = [np.float64(0.8), np.float64(0.6837606837606838), np.float64(0.783068783068783), np.float64(0.5328947368421053), np.float64(0.5371900826446281), np.float64(0.6176470588235294), np.float64(0.9240506329113924), np.float64(0.8415841584158416), np.float64(0.9416445623342176), np.float64(0.7551020408163265)] class_r = [np.float64(0.19047619047619047), np.float64(0.7547169811320755), np.float64(0.774869109947644), np.float64(0.49693251533742333), np.float64(0.5462184873949579), np.float64(0.6363636363636364), np.float64(0.9125), np.float64(0.9042553191489362), np.float64(0.9125964010282777), np.float64(0.9736842105263158)] confusion_matrix = [[ 8 3 1 11 1 18 0 0 0 0] [ 0 160 20 0 12 20 0 0 0 0] [ 0 31 148 0 8 2 0 0 0 2] [ 0 11 8 81 43 20 0 0 0 0] [ 2 22 6 30 130 44 0 0 0 4] [ 0 6 6 30 48 168 0 0 0 6] [ 0 0 0 0 0 0 146 6 8 0] [ 0 0 0 0 0 0 4 170 14 0] [ 0 0 0 0 0 0 8 26 355 0] [ 0 1 0 0 0 0 0 0 0 37]] f1_macro = 0.7054448046486087 f1_weighted = 0.7404489627015973 evaluate 11 acc = 0.7395225464190981 acc_and_f1_macro = 0.7198168000805315 acc_and_f1_weighted = 0.737551448876673 class_f1 = [np.float64(0.3076923076923077), np.float64(0.7117117117117115), np.float64(0.7830687830687831), np.float64(0.5123456790123456), np.float64(0.5285412262156448), np.float64(0.6268656716417911), np.float64(0.9240506329113924), np.float64(0.8540540540540541), np.float64(0.9213197969543147), np.float64(0.8314606741573034)] class_p = [np.float64(0.8), np.float64(0.6810344827586207), np.float64(0.7914438502673797), np.float64(0.515527950310559), np.float64(0.5319148936170213), np.float64(0.6176470588235294), np.float64(0.9358974358974359), np.float64(0.8681318681318682), np.float64(0.9097744360902256), np.float64(0.7254901960784313)] class_r = [np.float64(0.19047619047619047), np.float64(0.7452830188679245), np.float64(0.774869109947644), np.float64(0.50920245398773), np.float64(0.5252100840336135), np.float64(0.6363636363636364), np.float64(0.9125), np.float64(0.8404255319148937), np.float64(0.9331619537275064), np.float64(0.9736842105263158)] confusion_matrix = [[ 8 3 1 11 1 18 0 0 0 0] [ 0 158 18 2 12 20 0 0 0 2] [ 0 31 148 0 8 2 0 0 0 2] [ 0 11 8 83 41 20 0 0 0 0] [ 2 22 6 35 125 44 0 0 0 4] [ 0 6 6 30 48 168 0 0 0 6] [ 0 0 0 0 0 0 146 4 10 0] [ 0 0 0 0 0 0 4 158 26 0] [ 0 0 0 0 0 0 6 20 363 0] [ 0 1 0 0 0 0 0 0 0 37]] f1_macro = 0.7001110537419649 f1_weighted = 0.7355803513342478 evaluate 12 acc = 0.7416445623342175 acc_and_f1_macro = 0.7216230940717716 acc_and_f1_weighted = 0.739763631216562 class_f1 = [np.float64(0.3076923076923077), np.float64(0.7117117117117115), np.float64(0.7830687830687831), np.float64(0.50920245398773), np.float64(0.5307855626326965), np.float64(0.6268656716417911), np.float64(0.9240506329113924), np.float64(0.8631578947368421), np.float64(0.9280205655526992), np.float64(0.8314606741573034)] class_p = [np.float64(0.8), np.float64(0.6810344827586207), np.float64(0.7914438502673797), np.float64(0.50920245398773), np.float64(0.5364806866952789), np.float64(0.6176470588235294), np.float64(0.9358974358974359), np.float64(0.8541666666666666), np.float64(0.9280205655526992), np.float64(0.7254901960784313)] class_r = [np.float64(0.19047619047619047), np.float64(0.7452830188679245), np.float64(0.774869109947644), np.float64(0.50920245398773), np.float64(0.5252100840336135), np.float64(0.6363636363636364), np.float64(0.9125), np.float64(0.8723404255319149), np.float64(0.9280205655526992), np.float64(0.9736842105263158)] confusion_matrix = [[ 8 3 1 11 1 18 0 0 0 0] [ 0 158 18 2 12 20 0 0 0 2] [ 0 31 148 0 8 2 0 0 0 2] [ 0 11 8 83 41 20 0 0 0 0] [ 2 22 6 35 125 44 0 0 0 4] [ 0 6 6 32 46 168 0 0 0 6] [ 0 0 0 0 0 0 146 6 8 0] [ 0 0 0 0 0 0 4 164 20 0] [ 0 0 0 0 0 0 6 22 361 0] [ 0 1 0 0 0 0 0 0 0 37]] f1_macro = 0.7016016258093256 f1_weighted = 0.7378827000989064 evaluate 13 acc = 0.736870026525199 acc_and_f1_macro = 0.7170271441233107 acc_and_f1_weighted = 0.7346839338236678 class_f1 = [np.float64(0.3076923076923077), np.float64(0.7174887892376682), np.float64(0.7830687830687831), np.float64(0.49535603715170273), np.float64(0.5341880341880341), np.float64(0.6222222222222223), np.float64(0.9192546583850932), np.float64(0.8444444444444444), np.float64(0.9166666666666666), np.float64(0.8314606741573034)] class_p = [np.float64(0.8), np.float64(0.6837606837606838), np.float64(0.7914438502673797), np.float64(0.5), np.float64(0.5434782608695652), np.float64(0.6086956521739131), np.float64(0.9135802469135802), np.float64(0.8837209302325582), np.float64(0.9007444168734491), np.float64(0.7254901960784313)] class_r = [np.float64(0.19047619047619047), np.float64(0.7547169811320755), np.float64(0.774869109947644), np.float64(0.49079754601226994), np.float64(0.5252100840336135), np.float64(0.6363636363636364), np.float64(0.925), np.float64(0.8085106382978723), np.float64(0.9331619537275064), np.float64(0.9736842105263158)] confusion_matrix = [[ 8 3 1 11 1 18 0 0 0 0] [ 0 160 18 2 10 20 0 0 0 2] [ 0 31 148 0 8 2 0 0 0 2] [ 0 11 8 80 40 24 0 0 0 0] [ 2 22 6 35 125 44 0 0 0 4] [ 0 6 6 32 46 168 0 0 0 6] [ 0 0 0 0 0 0 148 2 10 0] [ 0 0 0 0 0 0 6 152 30 0] [ 0 0 0 0 0 0 8 18 363 0] [ 0 1 0 0 0 0 0 0 0 37]] f1_macro = 0.6971842617214226 f1_weighted = 0.7324978411221367 evaluate 14 acc = 0.743236074270557 acc_and_f1_macro = 0.7227979699249428 acc_and_f1_weighted = 0.7413519729893219 class_f1 = [np.float64(0.3076923076923077), np.float64(0.7117117117117115), np.float64(0.7830687830687831), np.float64(0.49535603715170273), np.float64(0.5296610169491526), np.float64(0.6245353159851301), np.float64(0.9240506329113924), np.float64(0.8808290155440415), np.float64(0.9352331606217616), np.float64(0.8314606741573034)] class_p = [np.float64(0.8), np.float64(0.6810344827586207), np.float64(0.7914438502673797), np.float64(0.5), np.float64(0.5341880341880342), np.float64(0.6131386861313869), np.float64(0.9358974358974359), np.float64(0.8585858585858586), np.float64(0.9425587467362925), np.float64(0.7254901960784313)] class_r = [np.float64(0.19047619047619047), np.float64(0.7452830188679245), np.float64(0.774869109947644), np.float64(0.49079754601226994), np.float64(0.5252100840336135), np.float64(0.6363636363636364), np.float64(0.9125), np.float64(0.9042553191489362), np.float64(0.9280205655526992), np.float64(0.9736842105263158)] confusion_matrix = [[ 8 3 1 11 1 18 0 0 0 0] [ 0 158 18 2 12 20 0 0 0 2] [ 0 31 148 0 8 2 0 0 0 2] [ 0 11 8 80 42 22 0 0 0 0] [ 2 22 6 35 125 44 0 0 0 4] [ 0 6 6 32 46 168 0 0 0 6] [ 0 0 0 0 0 0 146 6 8 0] [ 0 0 0 0 0 0 4 170 14 0] [ 0 0 0 0 0 0 6 22 361 0] [ 0 1 0 0 0 0 0 0 0 37]] f1_macro = 0.7023598655793286 f1_weighted = 0.7394678717080866 evaluate 15 acc = 0.7421750663129973 acc_and_f1_macro = 0.7219960586587495 acc_and_f1_weighted = 0.7403449399172917 class_f1 = [np.float64(0.3076923076923077), np.float64(0.7085201793721974), np.float64(0.7872340425531915), np.float64(0.4984423676012461), np.float64(0.5263157894736843), np.float64(0.6256983240223464), np.float64(0.9240506329113924), np.float64(0.8762886597938143), np.float64(0.9324675324675324), np.float64(0.8314606741573034)] class_p = [np.float64(0.8), np.float64(0.6752136752136753), np.float64(0.8), np.float64(0.5063291139240507), np.float64(0.5274261603375527), np.float64(0.6153846153846154), np.float64(0.9358974358974359), np.float64(0.85), np.float64(0.9422572178477691), np.float64(0.7254901960784313)] class_r = [np.float64(0.19047619047619047), np.float64(0.7452830188679245), np.float64(0.774869109947644), np.float64(0.49079754601226994), np.float64(0.5252100840336135), np.float64(0.6363636363636364), np.float64(0.9125), np.float64(0.9042553191489362), np.float64(0.922879177377892), np.float64(0.9736842105263158)] confusion_matrix = [[ 8 3 1 11 1 18 0 0 0 0] [ 0 158 18 2 12 20 0 0 0 2] [ 0 31 148 0 8 2 0 0 0 2] [ 0 11 8 80 43 21 0 0 0 0] [ 2 24 4 35 125 44 0 0 0 4] [ 0 6 6 30 48 168 0 0 0 6] [ 0 0 0 0 0 0 146 6 8 0] [ 0 0 0 0 0 0 4 170 14 0] [ 0 0 0 0 0 0 6 24 359 0] [ 0 1 0 0 0 0 0 0 0 37]] f1_macro = 0.7018170510045015 f1_weighted = 0.7385148135215859 evaluate 16 acc = 0.7421750663129973 acc_and_f1_macro = 0.7217316250350408 acc_and_f1_weighted = 0.74027882239806 class_f1 = [np.float64(0.3076923076923077), np.float64(0.7117117117117115), np.float64(0.7830687830687831), np.float64(0.4890282131661442), np.float64(0.5241090146750523), np.float64(0.6256983240223464), np.float64(0.9240506329113924), np.float64(0.8808290155440415), np.float64(0.9352331606217616), np.float64(0.8314606741573034)] class_p = [np.float64(0.8), np.float64(0.6810344827586207), np.float64(0.7914438502673797), np.float64(0.5), np.float64(0.5230125523012552), np.float64(0.6153846153846154), np.float64(0.9358974358974359), np.float64(0.8585858585858586), np.float64(0.9425587467362925), np.float64(0.7254901960784313)] class_r = [np.float64(0.19047619047619047), np.float64(0.7452830188679245), np.float64(0.774869109947644), np.float64(0.4785276073619632), np.float64(0.5252100840336135), np.float64(0.6363636363636364), np.float64(0.9125), np.float64(0.9042553191489362), np.float64(0.9280205655526992), np.float64(0.9736842105263158)] confusion_matrix = [[ 8 3 1 11 1 18 0 0 0 0] [ 0 158 18 2 12 20 0 0 0 2] [ 0 31 148 0 8 2 0 0 0 2] [ 0 11 8 78 45 21 0 0 0 0] [ 2 22 6 35 125 44 0 0 0 4] [ 0 6 6 30 48 168 0 0 0 6] [ 0 0 0 0 0 0 146 6 8 0] [ 0 0 0 0 0 0 4 170 14 0] [ 0 0 0 0 0 0 6 22 361 0] [ 0 1 0 0 0 0 0 0 0 37]] f1_macro = 0.7012881837570843 f1_weighted = 0.7383825784831226 evaluate 17 acc = 0.7358090185676393 acc_and_f1_macro = 0.7159648280369703 acc_and_f1_weighted = 0.7338408606007674 class_f1 = [np.float64(0.3076923076923077), np.float64(0.7058823529411764), np.float64(0.7789473684210527), np.float64(0.4890282131661442), np.float64(0.5241090146750523), np.float64(0.6256983240223464), np.float64(0.9240506329113924), np.float64(0.8510638297872339), np.float64(0.9232736572890027), np.float64(0.8314606741573034)] class_p = [np.float64(0.8), np.float64(0.6782608695652174), np.float64(0.783068783068783), np.float64(0.5), np.float64(0.5230125523012552), np.float64(0.6153846153846154), np.float64(0.9358974358974359), np.float64(0.851063829787234), np.float64(0.9185750636132316), np.float64(0.7254901960784313)] class_r = [np.float64(0.19047619047619047), np.float64(0.7358490566037735), np.float64(0.774869109947644), np.float64(0.4785276073619632), np.float64(0.5252100840336135), np.float64(0.6363636363636364), np.float64(0.9125), np.float64(0.851063829787234), np.float64(0.9280205655526992), np.float64(0.9736842105263158)] confusion_matrix = [[ 8 3 1 11 1 18 0 0 0 0] [ 0 156 20 2 12 20 0 0 0 2] [ 0 31 148 0 8 2 0 0 0 2] [ 0 11 8 78 45 21 0 0 0 0] [ 2 22 6 35 125 44 0 0 0 4] [ 0 6 6 30 48 168 0 0 0 6] [ 0 0 0 0 0 0 146 6 8 0] [ 0 0 0 0 0 0 4 160 24 0] [ 0 0 0 0 0 0 6 22 361 0] [ 0 1 0 0 0 0 0 0 0 37]] f1_macro = 0.6961206375063013 f1_weighted = 0.7318727026338955 evaluate 18 acc = 0.7379310344827587 acc_and_f1_macro = 0.717841202432659 acc_and_f1_weighted = 0.7359524731168883 class_f1 = [np.float64(0.3076923076923077), np.float64(0.7117117117117115), np.float64(0.7830687830687831), np.float64(0.4840764331210191), np.float64(0.5269709543568464), np.float64(0.6256983240223464), np.float64(0.9240506329113924), np.float64(0.8571428571428572), np.float64(0.9256410256410256), np.float64(0.8314606741573034)] class_p = [np.float64(0.8), np.float64(0.6810344827586207), np.float64(0.7914438502673797), np.float64(0.5033112582781457), np.float64(0.5204918032786885), np.float64(0.6153846153846154), np.float64(0.9358974358974359), np.float64(0.8526315789473684), np.float64(0.9232736572890026), np.float64(0.7254901960784313)] class_r = [np.float64(0.19047619047619047), np.float64(0.7452830188679245), np.float64(0.774869109947644), np.float64(0.4662576687116564), np.float64(0.5336134453781513), np.float64(0.6363636363636364), np.float64(0.9125), np.float64(0.8617021276595744), np.float64(0.9280205655526992), np.float64(0.9736842105263158)] confusion_matrix = [[ 8 3 1 10 2 18 0 0 0 0] [ 0 158 18 2 12 20 0 0 0 2] [ 0 31 148 0 8 2 0 0 0 2] [ 0 11 8 76 47 21 0 0 0 0] [ 2 22 6 33 127 44 0 0 0 4] [ 0 6 6 30 48 168 0 0 0 6] [ 0 0 0 0 0 0 146 6 8 0] [ 0 0 0 0 0 0 4 162 22 0] [ 0 0 0 0 0 0 6 22 361 0] [ 0 1 0 0 0 0 0 0 0 37]] f1_macro = 0.6977513703825593 f1_weighted = 0.733973911751018 evaluate 19 acc = 0.7379310344827587 acc_and_f1_macro = 0.717841202432659 acc_and_f1_weighted = 0.7359524731168883 class_f1 = [np.float64(0.3076923076923077), np.float64(0.7117117117117115), np.float64(0.7830687830687831), np.float64(0.4840764331210191), np.float64(0.5269709543568464), np.float64(0.6256983240223464), np.float64(0.9240506329113924), np.float64(0.8571428571428572), np.float64(0.9256410256410256), np.float64(0.8314606741573034)] class_p = [np.float64(0.8), np.float64(0.6810344827586207), np.float64(0.7914438502673797), np.float64(0.5033112582781457), np.float64(0.5204918032786885), np.float64(0.6153846153846154), np.float64(0.9358974358974359), np.float64(0.8526315789473684), np.float64(0.9232736572890026), np.float64(0.7254901960784313)] class_r = [np.float64(0.19047619047619047), np.float64(0.7452830188679245), np.float64(0.774869109947644), np.float64(0.4662576687116564), np.float64(0.5336134453781513), np.float64(0.6363636363636364), np.float64(0.9125), np.float64(0.8617021276595744), np.float64(0.9280205655526992), np.float64(0.9736842105263158)] confusion_matrix = [[ 8 3 1 10 2 18 0 0 0 0] [ 0 158 18 2 12 20 0 0 0 2] [ 0 31 148 0 8 2 0 0 0 2] [ 0 11 8 76 47 21 0 0 0 0] [ 2 22 6 33 127 44 0 0 0 4] [ 0 6 6 30 48 168 0 0 0 6] [ 0 0 0 0 0 0 146 6 8 0] [ 0 0 0 0 0 0 4 162 22 0] [ 0 0 0 0 0 0 6 22 361 0] [ 0 1 0 0 0 0 0 0 0 37]] f1_macro = 0.6977513703825593 f1_weighted = 0.733973911751018 |