File size: 15,758 Bytes
da4a774 | 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 | evaluate 0 acc = 0.6875331564986737 acc_and_f1_macro = 0.6383337888957222 acc_and_f1_weighted = 0.6730215562756439 class_f1 = [np.float64(nan), np.float64(0.5664488017429193), np.float64(0.7132530120481927), np.float64(0.07100591715976332), np.float64(0.551094890510949), np.float64(0.6151142355008787), np.float64(0.8875), np.float64(0.8367346938775511), np.float64(0.905511811023622), np.float64(0.7446808510638298)] class_p = [np.float64(nan), np.float64(0.5263157894736842), np.float64(0.6607142857142857), np.float64(1.0), np.float64(0.4870967741935484), np.float64(0.5737704918032787), np.float64(0.8875), np.float64(0.803921568627451), np.float64(0.9249329758713136), np.float64(0.625)] class_r = [np.float64(0.0), np.float64(0.6132075471698113), np.float64(0.774869109947644), np.float64(0.03680981595092025), np.float64(0.634453781512605), np.float64(0.6628787878787878), np.float64(0.8875), np.float64(0.8723404255319149), np.float64(0.8868894601542416), np.float64(0.9210526315789473)] confusion_matrix = [[ 0 8 0 0 14 20 0 0 0 0] [ 0 130 66 0 4 8 0 0 0 4] [ 0 35 148 0 6 2 0 0 0 0] [ 0 19 6 6 79 49 0 0 0 4] [ 0 30 2 0 151 49 0 0 0 6] [ 0 24 2 0 56 175 0 0 0 7] [ 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 34 345 0] [ 0 1 0 0 0 2 0 0 0 35]] f1_macro = 0.5891344212927707 f1_weighted = 0.6585099560526139 evaluate 1 acc = 0.7283819628647215 acc_and_f1_macro = 0.6955297991154487 acc_and_f1_weighted = 0.724209590530397 class_f1 = [np.float64(nan), np.float64(0.7328918322295807), np.float64(0.7867036011080333), np.float64(0.49082568807339444), np.float64(0.4705882352941177), np.float64(0.6236559139784946), np.float64(0.9316770186335404), np.float64(0.8453608247422681), np.float64(0.9136125654450262), np.float64(0.8314606741573034)] class_p = [np.float64(nan), np.float64(0.6887966804979253), np.float64(0.8352941176470589), np.float64(0.39194139194139194), np.float64(0.7058823529411765), np.float64(0.5918367346938775), np.float64(0.9259259259259259), np.float64(0.82), np.float64(0.9306666666666666), np.float64(0.7254901960784313)] class_r = [np.float64(0.0), np.float64(0.7830188679245284), np.float64(0.743455497382199), np.float64(0.656441717791411), np.float64(0.35294117647058826), np.float64(0.6590909090909091), np.float64(0.9375), np.float64(0.8723404255319149), np.float64(0.897172236503856), np.float64(0.9736842105263158)] confusion_matrix = [[ 0 4 0 28 0 10 0 0 0 0] [ 0 166 16 0 4 26 0 0 0 0] [ 0 34 142 4 7 4 0 0 0 0] [ 0 9 6 107 16 23 0 0 0 2] [ 0 20 4 70 84 56 0 0 0 4] [ 0 8 2 64 8 174 0 0 0 8] [ 0 0 0 0 0 0 150 2 8 0] [ 0 0 0 0 0 0 6 164 18 0] [ 0 0 0 0 0 0 6 34 349 0] [ 0 0 0 0 0 1 0 0 0 37]] f1_macro = 0.6626776353661759 f1_weighted = 0.7200372181960726 evaluate 2 acc = 0.7342175066312997 acc_and_f1_macro = 0.7111411661238423 acc_and_f1_weighted = 0.7320419634758704 class_f1 = [np.float64(0.17391304347826084), np.float64(0.6826923076923077), np.float64(0.7745358090185676), np.float64(0.5000000000000001), np.float64(0.5230024213075061), np.float64(0.6505190311418685), np.float64(0.925925925925926), np.float64(0.8592592592592592), np.float64(0.9127516778523489), np.float64(0.8780487804878049)] class_p = [np.float64(1.0), np.float64(0.696078431372549), np.float64(0.7849462365591398), np.float64(0.4343891402714932), np.float64(0.6171428571428571), np.float64(0.5987261146496815), np.float64(0.9146341463414634), np.float64(0.8018433179723502), np.float64(0.9550561797752809), np.float64(0.8181818181818182)] class_r = [np.float64(0.09523809523809523), np.float64(0.6698113207547169), np.float64(0.7643979057591623), np.float64(0.588957055214724), np.float64(0.453781512605042), np.float64(0.7121212121212122), np.float64(0.9375), np.float64(0.925531914893617), np.float64(0.8740359897172236), np.float64(0.9473684210526315)] confusion_matrix = [[ 4 4 0 22 0 12 0 0 0 0] [ 0 142 28 4 8 30 0 0 0 0] [ 0 24 146 8 7 4 0 0 0 2] [ 0 6 6 96 28 27 0 0 0 0] [ 0 20 4 53 108 51 0 0 0 2] [ 0 8 2 38 24 188 0 0 0 4] [ 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 8 41 340 0] [ 0 0 0 0 0 2 0 0 0 36]] f1_macro = 0.6880648256163849 f1_weighted = 0.7298664203204411 evaluate 3 acc = 0.729973474801061 acc_and_f1_macro = 0.7098114861443297 acc_and_f1_weighted = 0.7276156001573959 class_f1 = [np.float64(0.2909090909090909), np.float64(0.6960556844547564), np.float64(0.7837837837837838), np.float64(0.4931506849315069), np.float64(0.5477178423236515), np.float64(0.627177700348432), np.float64(0.9240506329113924), np.float64(0.8068181818181819), np.float64(0.9007444168734492), np.float64(0.8260869565217391)] class_p = [np.float64(0.6153846153846154), np.float64(0.684931506849315), np.float64(0.8100558659217877), np.float64(0.5581395348837209), np.float64(0.5409836065573771), np.float64(0.5806451612903226), np.float64(0.9358974358974359), np.float64(0.8658536585365854), np.float64(0.8705035971223022), np.float64(0.7037037037037037)] class_r = [np.float64(0.19047619047619047), np.float64(0.7075471698113207), np.float64(0.7591623036649214), np.float64(0.44171779141104295), np.float64(0.5546218487394958), np.float64(0.6818181818181818), np.float64(0.9125), np.float64(0.7553191489361702), np.float64(0.9331619537275064), np.float64(1.0)] confusion_matrix = [[ 8 4 0 10 2 18 0 0 0 0] [ 2 150 18 0 14 26 0 0 0 2] [ 0 28 145 0 12 4 0 0 0 2] [ 1 10 6 72 42 32 0 0 0 0] [ 2 23 4 23 132 50 0 0 0 4] [ 0 4 6 24 42 180 0 0 0 8] [ 0 0 0 0 0 0 146 2 12 0] [ 0 0 0 0 0 0 4 142 42 0] [ 0 0 0 0 0 0 6 20 363 0] [ 0 0 0 0 0 0 0 0 0 38]] f1_macro = 0.6896494974875984 f1_weighted = 0.7252577255137307 evaluate 4 acc = 0.7405835543766578 acc_and_f1_macro = 0.7200472430586796 acc_and_f1_weighted = 0.7380717972188013 class_f1 = [np.float64(0.22641509433962262), np.float64(0.7111111111111111), np.float64(0.7741935483870968), np.float64(0.5), np.float64(0.5450733752620545), np.float64(0.6511627906976745), np.float64(0.9240506329113924), np.float64(0.8351648351648351), np.float64(0.9143576826196473), np.float64(0.9135802469135803)] class_p = [np.float64(0.5454545454545454), np.float64(0.6722689075630253), np.float64(0.7955801104972375), np.float64(0.5390070921985816), np.float64(0.5439330543933054), np.float64(0.6169491525423729), np.float64(0.9358974358974359), np.float64(0.8636363636363636), np.float64(0.8962962962962963), np.float64(0.8604651162790697)] class_r = [np.float64(0.14285714285714285), np.float64(0.7547169811320755), np.float64(0.7539267015706806), np.float64(0.4662576687116564), np.float64(0.5462184873949579), np.float64(0.6893939393939394), np.float64(0.9125), np.float64(0.8085106382978723), np.float64(0.9331619537275064), np.float64(0.9736842105263158)] confusion_matrix = [[ 6 3 1 8 4 20 0 0 0 0] [ 0 160 20 2 14 16 0 0 0 0] [ 0 36 144 0 7 4 0 0 0 0] [ 1 10 6 76 46 24 0 0 0 0] [ 4 22 4 27 130 49 0 0 0 2] [ 0 6 6 28 38 182 0 0 0 4] [ 0 0 0 0 0 0 146 4 10 0] [ 0 0 0 0 0 0 4 152 32 0] [ 0 0 0 0 0 0 6 20 363 0] [ 0 1 0 0 0 0 0 0 0 37]] f1_macro = 0.6995109317407014 f1_weighted = 0.7355600400609448 evaluate 5 acc = 0.7384615384615385 acc_and_f1_macro = 0.7161019342885856 acc_and_f1_weighted = 0.7361572547232091 class_f1 = [np.float64(0.21428571428571427), np.float64(0.7075471698113207), np.float64(0.7938931297709924), np.float64(0.5422740524781341), np.float64(0.5560344827586207), np.float64(0.6502835538752363), np.float64(0.9171974522292993), np.float64(0.8068181818181819), np.float64(0.8985148514851486), np.float64(0.8505747126436782)] class_p = [np.float64(0.42857142857142855), np.float64(0.7075471698113207), np.float64(0.7722772277227723), np.float64(0.5166666666666667), np.float64(0.5707964601769911), np.float64(0.6490566037735849), np.float64(0.935064935064935), np.float64(0.8658536585365854), np.float64(0.8663484486873508), np.float64(0.7551020408163265)] class_r = [np.float64(0.14285714285714285), np.float64(0.7075471698113207), np.float64(0.8167539267015707), np.float64(0.5705521472392638), np.float64(0.542016806722689), np.float64(0.6515151515151515), np.float64(0.9), np.float64(0.7553191489361702), np.float64(0.9331619537275064), np.float64(0.9736842105263158)] confusion_matrix = [[ 6 2 2 10 2 20 0 0 0 0] [ 4 150 26 2 10 18 0 0 0 2] [ 0 24 156 0 7 2 0 0 0 2] [ 0 11 8 93 40 11 0 0 0 0] [ 4 20 4 37 129 42 0 0 0 2] [ 0 4 6 38 38 172 0 0 0 6] [ 0 0 0 0 0 0 144 2 14 0] [ 0 0 0 0 0 0 4 142 42 0] [ 0 0 0 0 0 0 6 20 363 0] [ 0 1 0 0 0 0 0 0 0 37]] f1_macro = 0.6937423301156327 f1_weighted = 0.7338529709848797 evaluate 6 acc = 0.7320954907161804 acc_and_f1_macro = 0.7068304857149419 acc_and_f1_weighted = 0.7294098619916184 class_f1 = [np.float64(0.24), np.float64(0.6952595936794582), np.float64(0.7757255936675462), np.float64(0.49840255591054317), np.float64(0.5384615384615384), np.float64(0.639853747714808), np.float64(0.9171974522292993), np.float64(0.8306010928961749), np.float64(0.9093198992443325), np.float64(0.7708333333333335)] class_p = [np.float64(0.75), np.float64(0.6666666666666666), np.float64(0.7819148936170213), np.float64(0.52), np.float64(0.5478260869565217), np.float64(0.6183745583038869), np.float64(0.935064935064935), np.float64(0.8539325842696629), np.float64(0.891358024691358), np.float64(0.6379310344827587)] class_r = [np.float64(0.14285714285714285), np.float64(0.7264150943396226), np.float64(0.7696335078534031), np.float64(0.4785276073619632), np.float64(0.5294117647058824), np.float64(0.6628787878787878), np.float64(0.9), np.float64(0.8085106382978723), np.float64(0.9280205655526992), np.float64(0.9736842105263158)] confusion_matrix = [[ 6 3 1 10 2 20 0 0 0 0] [ 0 154 24 2 10 18 0 0 0 4] [ 0 33 147 0 7 2 0 0 0 2] [ 0 11 6 78 45 23 0 0 0 0] [ 2 23 4 32 126 45 0 0 0 6] [ 0 6 6 28 40 175 0 0 0 9] [ 0 0 0 0 0 0 144 4 12 0] [ 0 0 0 0 0 0 4 152 32 0] [ 0 0 0 0 0 0 6 22 361 0] [ 0 1 0 0 0 0 0 0 0 37]] f1_macro = 0.6815654807137034 f1_weighted = 0.7267242332670564 evaluate 7 acc = 0.7384615384615385 acc_and_f1_macro = 0.7153263245059038 acc_and_f1_weighted = 0.7361837089103094 class_f1 = [np.float64(0.23076923076923073), np.float64(0.7123287671232876), np.float64(0.7821522309711286), np.float64(0.5093167701863354), np.float64(0.542016806722689), np.float64(0.6468401486988847), np.float64(0.9113924050632911), np.float64(0.8449197860962566), np.float64(0.9107142857142857), np.float64(0.8314606741573034)] class_p = [np.float64(0.6), np.float64(0.6902654867256637), np.float64(0.7842105263157895), np.float64(0.5157232704402516), np.float64(0.542016806722689), np.float64(0.635036496350365), np.float64(0.9230769230769231), np.float64(0.8494623655913979), np.float64(0.9037974683544304), np.float64(0.7254901960784313)] class_r = [np.float64(0.14285714285714285), np.float64(0.7358490566037735), np.float64(0.7801047120418848), np.float64(0.5030674846625767), np.float64(0.542016806722689), np.float64(0.6590909090909091), np.float64(0.9), np.float64(0.8404255319148937), np.float64(0.9177377892030848), np.float64(0.9736842105263158)] confusion_matrix = [[ 6 3 1 10 2 20 0 0 0 0] [ 0 156 24 2 10 18 0 0 0 2] [ 0 31 149 0 7 2 0 0 0 2] [ 0 11 6 82 46 18 0 0 0 0] [ 4 20 4 35 129 42 0 0 0 4] [ 0 4 6 30 44 174 0 0 0 6] [ 0 0 0 0 0 0 144 4 12 0] [ 0 0 0 0 0 0 4 158 26 0] [ 0 0 0 0 0 0 8 24 357 0] [ 0 1 0 0 0 0 0 0 0 37]] f1_macro = 0.6921911105502693 f1_weighted = 0.7339058793590801 evaluate 8 acc = 0.7395225464190981 acc_and_f1_macro = 0.71706822879427 acc_and_f1_weighted = 0.7371859461558783 class_f1 = [np.float64(0.24), np.float64(0.7149321266968325), np.float64(0.7821522309711286), np.float64(0.49367088607594933), np.float64(0.5352697095435685), np.float64(0.6394052044609665), np.float64(0.9113924050632911), np.float64(0.8586387434554974), np.float64(0.9201030927835051), np.float64(0.8505747126436782)] class_p = [np.float64(0.75), np.float64(0.6869565217391305), np.float64(0.7842105263157895), np.float64(0.5098039215686274), np.float64(0.5286885245901639), np.float64(0.6277372262773723), np.float64(0.9230769230769231), np.float64(0.845360824742268), np.float64(0.9224806201550387), np.float64(0.7551020408163265)] class_r = [np.float64(0.14285714285714285), np.float64(0.7452830188679245), np.float64(0.7801047120418848), np.float64(0.4785276073619632), np.float64(0.542016806722689), np.float64(0.6515151515151515), np.float64(0.9), np.float64(0.8723404255319149), np.float64(0.9177377892030848), np.float64(0.9736842105263158)] confusion_matrix = [[ 6 3 1 10 2 20 0 0 0 0] [ 0 158 24 2 10 16 0 0 0 2] [ 0 31 149 0 7 2 0 0 0 2] [ 0 11 6 78 50 18 0 0 0 0] [ 2 22 4 33 129 46 0 0 0 2] [ 0 4 6 30 46 172 0 0 0 6] [ 0 0 0 0 0 0 144 6 10 0] [ 0 0 0 0 0 0 4 164 20 0] [ 0 0 0 0 0 0 8 24 357 0] [ 0 1 0 0 0 0 0 0 0 37]] f1_macro = 0.6946139111694418 f1_weighted = 0.7348493458926586 evaluate 9 acc = 0.7405835543766578 acc_and_f1_macro = 0.718416663044384 acc_and_f1_weighted = 0.7381677794788776 class_f1 = [np.float64(0.24), np.float64(0.7181818181818183), np.float64(0.7885117493472585), np.float64(0.5093167701863354), np.float64(0.5358649789029536), np.float64(0.6444444444444444), np.float64(0.9171974522292993), np.float64(0.8449197860962566), np.float64(0.9134860050890585), np.float64(0.8505747126436782)] class_p = [np.float64(0.75), np.float64(0.6929824561403509), np.float64(0.7864583333333334), np.float64(0.5157232704402516), np.float64(0.538135593220339), np.float64(0.6304347826086957), np.float64(0.935064935064935), np.float64(0.8494623655913979), np.float64(0.9042821158690176), np.float64(0.7551020408163265)] class_r = [np.float64(0.14285714285714285), np.float64(0.7452830188679245), np.float64(0.7905759162303665), np.float64(0.5030674846625767), np.float64(0.5336134453781513), np.float64(0.6590909090909091), np.float64(0.9), np.float64(0.8404255319148937), np.float64(0.922879177377892), np.float64(0.9736842105263158)] confusion_matrix = [[ 6 3 1 10 2 20 0 0 0 0] [ 0 158 24 2 10 16 0 0 0 2] [ 0 29 151 0 7 2 0 0 0 2] [ 0 11 6 82 46 18 0 0 0 0] [ 2 22 4 35 127 46 0 0 0 2] [ 0 4 6 30 44 174 0 0 0 6] [ 0 0 0 0 0 0 144 4 12 0] [ 0 0 0 0 0 0 4 158 26 0] [ 0 0 0 0 0 0 6 24 359 0] [ 0 1 0 0 0 0 0 0 0 37]] f1_macro = 0.6962497717121103 f1_weighted = 0.7357520045810974 |