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Add date to sort metric list and some results

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Ricardo Montañana Gómez
2022-02-25 14:05:17 +01:00
parent 3283929b51
commit 7a1d8c9f42
11 changed files with 168 additions and 221 deletions
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results/best_results_accuracy_ODTE.json
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311
results/exreport_accuracy.csv
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@@ -142,7 +142,7 @@ ODTE, statlog-heart, 0.8381481481481482, 0.046379185057354784
ODTE, statlog-image, 0.9641991341991343, 0.007272340744212073
ODTE, statlog-vehicle, 0.8072182387747998, 0.02404945671905629
ODTE, synthetic-control, 0.987, 0.009741092797468319
ODTE, tic-tac-toe, 0.9846531413612564, 0.00756301332812281
ODTE, tic-tac-toe, 0.9871591404886563, 0.0074727077754232615
ODTE, vertebral-column-2clases, 0.8564516129032256, 0.037928954891305953
ODTE, wine, 0.9814285714285714, 0.02424781771927406
ODTE, zoo, 0.9574761904761906, 0.04557023434769017
@@ -244,6 +244,104 @@ Wodt, tic-tac-toe, 0.9449798211169285, 0.029347280139619656
Wodt, vertebral-column-2clases, 0.8138709677419353, 0.04530047675895885
Wodt, wine, 0.967920634920635, 0.028208046326376822
Wodt, zoo, 0.9514285714285715, 0.043724036675722826
RandomForest, balance-scale, 0.8488000000000001, 0.025562472493872744
RandomForest, balloons, 0.6583333333333333, 0.24958298553119895
RandomForest, breast-cancer-wisc-diag, 0.9602856699270299, 0.01304850246785924
RandomForest, breast-cancer-wisc-prog, 0.7889487179487179, 0.062095973522275645
RandomForest, breast-cancer-wisc, 0.9682384378211717, 0.012979760074633098
RandomForest, breast-cancer, 0.7173260738052026, 0.05543339031060783
RandomForest, cardiotocography-10clases, 0.8729086992543498, 0.01716119423915263
RandomForest, cardiotocography-3clases, 0.9415357083678542, 0.011745284632829643
RandomForest, conn-bench-sonar-mines-rocks, 0.833437862950058, 0.05787314265134896
RandomForest, cylinder-bands, 0.792147344374643, 0.03975693903506292
RandomForest, dermatology, 0.9778563495001852, 0.015194540700548658
RandomForest, echocardiogram, 0.8292592592592591, 0.07125299167854407
RandomForest, fertility, 0.887, 0.06067124524847005
RandomForest, haberman-survival, 0.7084822845055527, 0.05577963957846104
RandomForest, heart-hungarian, 0.8169783752191703, 0.047084407169907465
RandomForest, hepatitis, 0.8225806451612903, 0.07162452681024038
RandomForest, ilpd-indian-liver, 0.7048010610079575, 0.03367965359465586
RandomForest, ionosphere, 0.9327565392354125, 0.02623998580282412
RandomForest, iris, 0.9499999999999998, 0.03144660377352201
RandomForest, led-display, 0.7132000000000001, 0.027545598559479512
RandomForest, libras, 0.8008333333333334, 0.051039351799359346
RandomForest, low-res-spect, 0.8941421266090636, 0.033512494391602414
RandomForest, lymphography, 0.8472873563218392, 0.07011193134668385
RandomForest, mammographic, 0.8082259283246978, 0.022691310103387825
RandomForest, molec-biol-promoter, 0.8914718614718615, 0.06923296108787423
RandomForest, musk-1, 0.8892916666666667, 0.032218163597528444
RandomForest, oocytes_merluccius_nucleus_4d, 0.8008857006217122, 0.026005202449345177
RandomForest, oocytes_merluccius_states_2f, 0.9224098517455765, 0.014089731590980637
RandomForest, oocytes_trisopterus_nucleus_2f, 0.80932324506095, 0.02940827813910382
RandomForest, oocytes_trisopterus_states_5b, 0.9135879421125322, 0.018448127398280962
RandomForest, parkinsons, 0.906153846153846, 0.043092182889324544
RandomForest, pima, 0.7619658772599949, 0.029215416907967737
RandomForest, pittsburg-bridges-MATERIAL, 0.8393939393939392, 0.06465451660842308
RandomForest, pittsburg-bridges-REL-L, 0.6780476190476192, 0.08371922895638823
RandomForest, pittsburg-bridges-SPAN, 0.6433333333333333, 0.1000367396003129
RandomForest, pittsburg-bridges-T-OR-D, 0.856095238095238, 0.07211284933039848
RandomForest, planning, 0.7022522522522522, 0.06398440367639394
RandomForest, post-operative, 0.6344444444444445, 0.08613082211681551
RandomForest, seeds, 0.9333333333333332, 0.041785544701867246
RandomForest, statlog-australian-credit, 0.6682608695652174, 0.03491189739487307
RandomForest, statlog-german-credit, 0.7622999999999999, 0.02486382914999218
RandomForest, statlog-heart, 0.8307407407407408, 0.044445987627530076
RandomForest, statlog-image, 0.9785714285714286, 0.007182103906076649
RandomForest, statlog-vehicle, 0.7494166376609818, 0.02747614895571888
RandomForest, synthetic-control, 0.9860000000000001, 0.010598742063723111
RandomForest, tic-tac-toe, 0.9884075043630017, 0.0071140588943835546
RandomForest, vertebral-column-2clases, 0.8322580645161289, 0.04539112025635577
RandomForest, wine, 0.9825873015873016, 0.02303907423919074
RandomForest, zoo, 0.9594761904761906, 0.04292716501935155
BaggingStree, balance-scale, 0.9743999999999999, 0.01893145530591877
BaggingStree, balloons, 0.7733333333333333, 0.27235597621087326
BaggingStree, breast-cancer-wisc-diag, 0.9759276509858718, 0.014451052166715531
BaggingStree, breast-cancer-wisc-prog, 0.8091410256410256, 0.05525623326760874
BaggingStree, breast-cancer-wisc, 0.9682353545734841, 0.013372407783798355
BaggingStree, breast-cancer, 0.7394494857834241, 0.04747649879695565
BaggingStree, cardiotocography-10clases, 0.8287906103286384, 0.019919444360845064
BaggingStree, cardiotocography-3clases, 0.9121377520022094, 0.01484624306368222
BaggingStree, conn-bench-sonar-mines-rocks, 0.8364227642276423, 0.05768447229690234
BaggingStree, cylinder-bands, 0.7509347039786789, 0.041363431918714964
BaggingStree, dermatology, 0.983054424287301, 0.01146631014778772
BaggingStree, echocardiogram, 0.855156695156695, 0.06266151037590971
BaggingStree, fertility, 0.88, 0.0547722557505166
BaggingStree, haberman-survival, 0.7359545214172395, 0.047857454758329004
BaggingStree, heart-hungarian, 0.8299006428988897, 0.050874048012859115
BaggingStree, hepatitis, 0.8283870967741934, 0.06780028209248852
BaggingStree, ilpd-indian-liver, 0.7269378131447097, 0.03708761542948765
BaggingStree, ionosphere, 0.9510100603621732, 0.02418916928619684
BaggingStree, iris, 0.9653333333333335, 0.032632635334721105
BaggingStree, led-display, 0.7218000000000001, 0.027124896313165885
BaggingStree, libras, 0.8544444444444445, 0.044724810139063854
BaggingStree, low-res-spect, 0.910904602362899, 0.034998937080933226
BaggingStree, lymphography, 0.8511724137931036, 0.060541983349731314
BaggingStree, mammographic, 0.8272695379965458, 0.02450569044585343
BaggingStree, molec-biol-promoter, 0.8387012987012987, 0.07620183897953593
BaggingStree, musk-1, 0.9128135964912282, 0.029764363025043043
BaggingStree, oocytes_merluccius_nucleus_4d, 0.8454954567192731, 0.02495631167694985
BaggingStree, oocytes_merluccius_states_2f, 0.9220148254423719, 0.01653121938374588
BaggingStree, oocytes_trisopterus_nucleus_2f, 0.8103038491563082, 0.020971220779186443
BaggingStree, oocytes_trisopterus_states_5b, 0.9239998799015193, 0.01817568579552671
BaggingStree, parkinsons, 0.901025641025641, 0.04865312826739729
BaggingStree, pima, 0.7726398438163143, 0.028486201404109596
BaggingStree, pittsburg-bridges-MATERIAL, 0.8658874458874459, 0.07136421080457399
BaggingStree, pittsburg-bridges-REL-L, 0.6818095238095239, 0.09893968478062681
BaggingStree, pittsburg-bridges-SPAN, 0.7003508771929825, 0.10417934569394204
BaggingStree, pittsburg-bridges-T-OR-D, 0.8628095238095238, 0.0747571882042698
BaggingStree, planning, 0.7352702702702704, 0.06697755238925641
BaggingStree, post-operative, 0.711111111111111, 0.07535922203472521
BaggingStree, seeds, 0.9576190476190476, 0.028686277108245766
BaggingStree, statlog-australian-credit, 0.6782608695652174, 0.03904983647915211
BaggingStree, statlog-german-credit, 0.7656000000000001, 0.028716545753276115
BaggingStree, statlog-heart, 0.8392592592592593, 0.04262317742463941
BaggingStree, statlog-image, 0.9613419913419912, 0.007744079362039781
BaggingStree, statlog-vehicle, 0.8039122868082146, 0.02550795916537555
BaggingStree, synthetic-control, 0.9868333333333333, 0.009441339358845712
BaggingStree, tic-tac-toe, 0.9862183682373472, 0.007729402310947018
BaggingStree, vertebral-column-2clases, 0.8574193548387095, 0.03942352546439275
BaggingStree, wine, 0.9791746031746031, 0.025059546117196532
BaggingStree, zoo, 0.9664285714285715, 0.04138270586454204
SVC, balance-scale, 0.9785600000000001, 0.013711542582802286
SVC, balloons, 0.86, 0.28501461950807594
SVC, breast-cancer-wisc-diag, 0.9753951249805931, 0.014597293231205878
@@ -342,104 +440,6 @@ BaggingWodt, tic-tac-toe, 0.9527105148342061, 0.020956068837478
BaggingWodt, vertebral-column-2clases, 0.8429032258064517, 0.04325588746295833
BaggingWodt, wine, 0.9831111111111112, 0.020289564182456803
BaggingWodt, zoo, 0.9574761904761906, 0.038427155222620905
BaggingStree, balance-scale, 0.9046400000000001, 0.024778829673735604
BaggingStree, balloons, 0.7466666666666666, 0.22543784558547889
BaggingStree, breast-cancer-wisc-diag, 0.9664291259121255, 0.014671587276866486
BaggingStree, breast-cancer-wisc-prog, 0.7687564102564102, 0.07070554199381442
BaggingStree, breast-cancer-wisc, 0.9678129496402877, 0.013280622942249616
BaggingStree, breast-cancer, 0.7293768905021173, 0.04592856682964331
BaggingStree, cardiotocography-10clases, 0.8248878210439105, 0.020088771819471586
BaggingStree, cardiotocography-3clases, 0.8991088649544325, 0.017672766557020134
BaggingStree, conn-bench-sonar-mines-rocks, 0.8200696864111499, 0.04751360241183439
BaggingStree, cylinder-bands, 0.6814201408718826, 0.04672859958144014
BaggingStree, dermatology, 0.983054424287301, 0.01146631014778772
BaggingStree, echocardiogram, 0.855156695156695, 0.06266151037590971
BaggingStree, fertility, 0.88, 0.0547722557505166
BaggingStree, haberman-survival, 0.7353199365415125, 0.048398466240040176
BaggingStree, heart-hungarian, 0.8207364114552892, 0.04947084712984143
BaggingStree, hepatitis, 0.8019354838709677, 0.07688254755551763
BaggingStree, ilpd-indian-liver, 0.7135661656351313, 0.038048725185040336
BaggingStree, ionosphere, 0.9208088531187122, 0.03440093358479876
BaggingStree, iris, 0.9553333333333331, 0.0295221197673127
BaggingStree, led-display, 0.7128, 0.029885782572989444
BaggingStree, libras, 0.8544444444444445, 0.044724810139063854
BaggingStree, low-res-spect, 0.9043078822077234, 0.031947679613072245
BaggingStree, lymphography, 0.7700689655172414, 0.07050802195491458
BaggingStree, mammographic, 0.8272695379965458, 0.02450569044585343
BaggingStree, molec-biol-promoter, 0.8387012987012987, 0.07620183897953593
BaggingStree, musk-1, 0.8318991228070175, 0.03598591892932648
BaggingStree, oocytes_merluccius_nucleus_4d, 0.7072391200382592, 0.03671500267792582
BaggingStree, oocytes_merluccius_states_2f, 0.9130105212816835, 0.018260354243601108
BaggingStree, oocytes_trisopterus_nucleus_2f, 0.7445030925358793, 0.03262686720944289
BaggingStree, oocytes_trisopterus_states_5b, 0.8790548249564645, 0.02150378389813439
BaggingStree, parkinsons, 0.8697435897435898, 0.04751275824369424
BaggingStree, pima, 0.759612087259146, 0.025906439151399386
BaggingStree, pittsburg-bridges-MATERIAL, 0.8563636363636362, 0.07381651843817168
BaggingStree, pittsburg-bridges-REL-L, 0.6818095238095239, 0.09893968478062681
BaggingStree, pittsburg-bridges-SPAN, 0.6563157894736843, 0.10692196863427415
BaggingStree, pittsburg-bridges-T-OR-D, 0.8628095238095238, 0.0747571882042698
BaggingStree, planning, 0.7143693693693695, 0.0715459100205182
BaggingStree, post-operative, 0.711111111111111, 0.07535922203472521
BaggingStree, seeds, 0.939047619047619, 0.04045097253637199
BaggingStree, statlog-australian-credit, 0.6782608695652174, 0.03904983647915211
BaggingStree, statlog-german-credit, 0.7364999999999999, 0.03200390601161053
BaggingStree, statlog-heart, 0.8392592592592593, 0.04262317742463941
BaggingStree, statlog-image, 0.9594372294372293, 0.008806199315273038
BaggingStree, statlog-vehicle, 0.7127880264531847, 0.04127485840961743
BaggingStree, synthetic-control, 0.9860000000000001, 0.008406346808612346
BaggingStree, tic-tac-toe, 0.7933235165794066, 0.042192838956410524
BaggingStree, vertebral-column-2clases, 0.8487096774193548, 0.042781783007912466
BaggingStree, wine, 0.978063492063492, 0.025306267118142396
BaggingStree, zoo, 0.9664285714285715, 0.04138270586454204
Bagging, balance-scale, nan, nan
Bagging, balloons, nan, nan
Bagging, breast-cancer-wisc-diag, nan, nan
Bagging, breast-cancer-wisc-prog, nan, nan
Bagging, breast-cancer-wisc, nan, nan
Bagging, breast-cancer, nan, nan
Bagging, cardiotocography-10clases, nan, nan
Bagging, cardiotocography-3clases, nan, nan
Bagging, conn-bench-sonar-mines-rocks, nan, nan
Bagging, cylinder-bands, nan, nan
Bagging, dermatology, nan, nan
Bagging, echocardiogram, nan, nan
Bagging, fertility, nan, nan
Bagging, haberman-survival, nan, nan
Bagging, heart-hungarian, nan, nan
Bagging, hepatitis, nan, nan
Bagging, ilpd-indian-liver, nan, nan
Bagging, ionosphere, nan, nan
Bagging, iris, nan, nan
Bagging, led-display, nan, nan
Bagging, libras, nan, nan
Bagging, low-res-spect, nan, nan
Bagging, lymphography, nan, nan
Bagging, mammographic, nan, nan
Bagging, molec-biol-promoter, nan, nan
Bagging, musk-1, nan, nan
Bagging, oocytes_merluccius_nucleus_4d, nan, nan
Bagging, oocytes_merluccius_states_2f, nan, nan
Bagging, oocytes_trisopterus_nucleus_2f, nan, nan
Bagging, oocytes_trisopterus_states_5b, nan, nan
Bagging, parkinsons, nan, nan
Bagging, pima, nan, nan
Bagging, pittsburg-bridges-MATERIAL, nan, nan
Bagging, pittsburg-bridges-REL-L, nan, nan
Bagging, pittsburg-bridges-SPAN, nan, nan
Bagging, pittsburg-bridges-T-OR-D, nan, nan
Bagging, planning, nan, nan
Bagging, post-operative, nan, nan
Bagging, seeds, nan, nan
Bagging, statlog-australian-credit, nan, nan
Bagging, statlog-german-credit, nan, nan
Bagging, statlog-heart, nan, nan
Bagging, statlog-image, nan, nan
Bagging, statlog-vehicle, nan, nan
Bagging, synthetic-control, nan, nan
Bagging, tic-tac-toe, nan, nan
Bagging, vertebral-column-2clases, nan, nan
Bagging, wine, nan, nan
Bagging, zoo, nan, nan
Cart, balance-scale, 0.7820799999999999, 0.03608203985364464
Cart, balloons, 0.6833333333333335, 0.26977356760397747
Cart, breast-cancer-wisc-diag, 0.9239217512808571, 0.02323176886368342
@@ -542,11 +542,11 @@ TBRRoF, balance-scale, 0.901701780173118, 0.022727898539488985
TBRRoF, balloons, 0.64875, 0.23921130353453926
TBRRoF, breast-cancer-wisc-diag, 0.9734979808923474, 0.01211458933120479
TBRRoF, breast-cancer-wisc-prog, 0.8079471788715488, 0.05471208977777354
TBRRoF, breast-cancer-wisc, 0.9688194038573934, 0.01104260329962437
TBRRoF, breast-cancer-wisc, 0.9684692187804401, 0.011827258213964388
TBRRoF, breast-cancer, 0.7354775226702683, 0.04827367740143163
TBRRoF, cardiotocography-10clases, 0.8288138243181649, 0.01645252887633946
TBRRoF, cardiotocography-3clases, 0.9224819890962925, 0.011610247810599902
TBRRoF, conn-bench-sonar-mines-rocks, 0.8375, 0.053844346412695955
TBRRoF, conn-bench-sonar-mines-rocks, 0.834423076923077, 0.05150748510916756
TBRRoF, cylinder-bands, 0.767890625, 0.03324347930143141
TBRRoF, dermatology, 0.9746077041238331, 0.014736301000625167
TBRRoF, echocardiogram, 0.8499598214285714, 0.05162023787508073
@@ -554,43 +554,43 @@ TBRRoF, fertility, 0.8810000000000003, 0.060740820180344164
TBRRoF, haberman-survival, 0.7374089068825913, 0.044260313726551134
TBRRoF, heart-hungarian, 0.8190036529680362, 0.03888797653544859
TBRRoF, hepatitis, 0.8227984595635432, 0.0532198072811453
TBRRoF, ilpd-indian-liver, 0.7193709226467846, 0.023486304382908652
TBRRoF, ilpd-indian-liver, 0.714239981360671, 0.033670460871576914
TBRRoF, ionosphere, 0.9459827586206895, 0.02184731993247911
TBRRoF, iris, 0.9658281358281358, 0.02676690588381821
TBRRoF, led-display, 0.68436, 0.04995546157031798
TBRRoF, libras, 0.8801666666666665, 0.03679035193712203
TBRRoF, low-res-spect, 0.8999957912457909, 0.026355170969855124
TBRRoF, lymphography, 0.8621621621621622, 0.05538892305924108
TBRRoF, lymphography, 0.8536486486486488, 0.05135724820856693
TBRRoF, mammographic, 0.8280522130013831, 0.020736800209974978
TBRRoF, molec-biol-promoter, 0.8082417582417584, 0.08100093455762149
TBRRoF, molec-biol-promoter, 0.8059340659340658, 0.07345265473126247
TBRRoF, musk-1, 0.8918907563025209, 0.028415223920829437
TBRRoF, oocytes_merluccius_nucleus_4d, 0.8403234912642101, 0.018770954783619315
TBRRoF, oocytes_merluccius_nucleus_4d, 0.8380727855344474, 0.021149025869688552
TBRRoF, oocytes_merluccius_states_2f, 0.9260048065918971, 0.01392436830249517
TBRRoF, oocytes_trisopterus_nucleus_2f, 0.8344298245614035, 0.02138638757870041
TBRRoF, oocytes_trisopterus_states_5b, 0.9350877192982455, 0.013985948140735555
TBRRoF, oocytes_trisopterus_nucleus_2f, 0.8335307017543863, 0.025458035585743156
TBRRoF, oocytes_trisopterus_states_5b, 0.931666666666666, 0.01590439823771617
TBRRoF, parkinsons, 0.9318872549019607, 0.03330032511327817
TBRRoF, pima, 0.768046875, 0.028059285918720294
TBRRoF, pittsburg-bridges-MATERIAL, 0.8622252747252745, 0.05272285056647456
TBRRoF, pittsburg-bridges-REL-L, 0.6864928571428571, 0.08623338832389287
TBRRoF, pittsburg-bridges-SPAN, 0.6956521739130435, 0.06464277753695896
TBRRoF, pittsburg-bridges-SPAN, 0.6932608695652175, 0.08145095608868286
TBRRoF, pittsburg-bridges-T-OR-D, 0.8713629629629633, 0.06055900326616563
TBRRoF, planning, 0.7224751773049648, 0.05837993833973262
TBRRoF, post-operative, 0.7113068181818182, 0.08162598674627758
TBRRoF, seeds, 0.9512464387464385, 0.033266940266918926
TBRRoF, seeds, 0.9474358974358972, 0.027630596849567368
TBRRoF, statlog-australian-credit, 0.6782665062817429, 0.029157752633879357
TBRRoF, statlog-german-credit, 0.7592000000000001, 0.019449259220096972
TBRRoF, statlog-heart, 0.8392277741726153, 0.037384083235462114
TBRRoF, statlog-german-credit, 0.7554400000000001, 0.024236821524035296
TBRRoF, statlog-heart, 0.8349664719878868, 0.0410218444181296
TBRRoF, statlog-image, 0.9756969824863881, 0.006903978139917843
TBRRoF, statlog-vehicle, 0.7870681752441981, 0.026493453010463675
TBRRoF, synthetic-control, 0.9919999999999998, 0.009575797952794753
TBRRoF, synthetic-control, 0.9910666666666664, 0.00849185901074688
TBRRoF, tic-tac-toe, 0.9844217781558706, 0.008102161082608183
TBRRoF, vertebral-column-2clases, 0.8515140555646883, 0.03497531619650492
TBRRoF, wine, 0.9821640316205533, 0.018615197860478525
TBRRoF, wine, 0.9804743083003953, 0.020476239593149058
TBRRoF, zoo, 0.9492615384615388, 0.04884462984878655
TBRaF, balance-scale, 0.8975269475747183, 0.023461084398242734
TBRaF, balloons, 0.6375, 0.23612831034708318
TBRaF, breast-cancer-wisc-diag, 0.9722372697724811, 0.013193347862443736
TBRaF, breast-cancer-wisc-prog, 0.801140456182473, 0.05994146019366561
TBRaF, balloons, 0.59875, 0.23763055126492547
TBRaF, breast-cancer-wisc-diag, 0.9693809711415347, 0.012888038813231393
TBRaF, breast-cancer-wisc-prog, 0.8002541016406561, 0.05869323051922061
TBRaF, breast-cancer-wisc, 0.9685330216247806, 0.011892547172713566
TBRaF, breast-cancer, 0.732153193131391, 0.04414297240873954
TBRaF, cardiotocography-10clases, 0.8268112132229536, 0.016587713750123762
@@ -598,90 +598,41 @@ TBRaF, cardiotocography-3clases, 0.9193786017390813, 0.011408461529019366
TBRaF, conn-bench-sonar-mines-rocks, 0.8092307692307693, 0.052101905394016206
TBRaF, cylinder-bands, 0.748671875, 0.037879462930709165
TBRaF, dermatology, 0.974489542715349, 0.015244381530713037
TBRaF, echocardiogram, 0.8470982142857144, 0.04121407375891862
TBRaF, echocardiogram, 0.8456473214285714, 0.06257980864237837
TBRaF, fertility, 0.8804000000000003, 0.05947711861036103
TBRaF, haberman-survival, 0.7405026990553306, 0.04442778063213871
TBRaF, haberman-survival, 0.7328744939271254, 0.04650268909435261
TBRaF, heart-hungarian, 0.819897716894977, 0.040808946053684174
TBRaF, hepatitis, 0.8308087291399229, 0.030786481618938533
TBRaF, hepatitis, 0.8162130937098846, 0.057721855658188784
TBRaF, ilpd-indian-liver, 0.7113035880708294, 0.03241044043427038
TBRaF, ionosphere, 0.9350574712643678, 0.03531528446913812
TBRaF, iris, 0.9625086625086627, 0.02370416415994463
TBRaF, ionosphere, 0.932176245210728, 0.027745840941158267
TBRaF, iris, 0.9624047124047124, 0.027672604537966147
TBRaF, led-display, 0.7121600000000001, 0.025910057029585667
TBRaF, libras, 0.8463888888888887, 0.03918389343605342
TBRaF, low-res-spect, 0.9000336700336697, 0.023601420494052557
TBRaF, lymphography, 0.8422972972972973, 0.0589135421754256
TBRaF, mammographic, 0.8293430152143845, 0.022325145379837995
TBRaF, mammographic, 0.827950899031812, 0.021234429745443983
TBRaF, molec-biol-promoter, 0.7957554945054945, 0.07181386667033816
TBRaF, musk-1, 0.8739495798319328, 0.0282061820436449
TBRaF, oocytes_merluccius_nucleus_4d, 0.8366516365300984, 0.02109662119057668
TBRaF, oocytes_merluccius_states_2f, 0.9237768368047604, 0.015521407216536862
TBRaF, oocytes_trisopterus_nucleus_2f, 0.8346491228070174, 0.019722730155514016
TBRaF, oocytes_trisopterus_nucleus_2f, 0.8296710526315794, 0.02406624812234792
TBRaF, oocytes_trisopterus_states_5b, 0.9273903508771925, 0.016976508458830007
TBRaF, parkinsons, 0.9110845588235295, 0.03900626598564447
TBRaF, pima, 0.7598958333333333, 0.02539774065272653
TBRaF, pima, 0.7593229166666666, 0.028362314210191343
TBRaF, pittsburg-bridges-MATERIAL, 0.8643956043956043, 0.0575076392003003
TBRaF, pittsburg-bridges-REL-L, 0.6964571428571429, 0.08540119415248532
TBRaF, pittsburg-bridges-SPAN, 0.6832608695652175, 0.08456145562451363
TBRaF, pittsburg-bridges-T-OR-D, 0.8654074074074076, 0.059112371460567796
TBRaF, planning, 0.7153900709219856, 0.05557611621471211
TBRaF, post-operative, 0.707007575757576, 0.10139602230667759
TBRaF, planning, 0.7097068557919625, 0.055516738956114635
TBRaF, post-operative, 0.7067613636363635, 0.08307013468275573
TBRaF, seeds, 0.9433297720797718, 0.03028629022052037
TBRaF, statlog-australian-credit, 0.6782812082330928, 0.03941790588788404
TBRaF, statlog-german-credit, 0.7564000000000001, 0.023820380482179344
TBRaF, statlog-heart, 0.8361345446679644, 0.04254934551175193
TBRaF, statlog-australian-credit, 0.6782645014701952, 0.030260627344985316
TBRaF, statlog-german-credit, 0.74954, 0.026938015580533888
TBRaF, statlog-heart, 0.8338795154661477, 0.03857659315818731
TBRaF, statlog-image, 0.9680695515784999, 0.007978763699442637
TBRaF, statlog-vehicle, 0.7753996172930158, 0.02537062422962424
TBRaF, synthetic-control, 0.9886666666666664, 0.008239844094951121
TBRaF, tic-tac-toe, 0.9768216462091356, 0.010279827512750403
TBRaF, vertebral-column-2clases, 0.8508877198750617, 0.031040561304764965
TBRaF, tic-tac-toe, 0.9759070469973432, 0.012840130632245466
TBRaF, vertebral-column-2clases, 0.8492429722176555, 0.03473914078871642
TBRaF, wine, 0.9804347826086953, 0.019004456684509077
TBRaF, zoo, 0.9336076923076927, 0.058309997782000134
RandomForest, balance-scale, 0.83616, 0.02649630917694009
RandomForest, balloons, 0.625, 0.24958298553119898
RandomForest, breast-cancer-wisc-diag, 0.9602856699270299, 0.01304850246785924
RandomForest, breast-cancer-wisc-prog, 0.7889487179487179, 0.062095973522275645
RandomForest, breast-cancer-wisc, 0.9678078108941419, 0.013450156204218109
RandomForest, breast-cancer, 0.7173260738052026, 0.05543339031060783
RandomForest, cardiotocography-10clases, 0.8729086992543498, 0.01716119423915263
RandomForest, cardiotocography-3clases, 0.9415357083678542, 0.011745284632829643
RandomForest, conn-bench-sonar-mines-rocks, 0.833437862950058, 0.05787314265134896
RandomForest, cylinder-bands, 0.792147344374643, 0.03975693903506292
RandomForest, dermatology, 0.9778563495001852, 0.015194540700548658
RandomForest, echocardiogram, 0.8139316239316239, 0.07230626105687148
RandomForest, fertility, 0.8740000000000001, 0.0626418390534633
RandomForest, haberman-survival, 0.7029666842940243, 0.046522788130533295
RandomForest, heart-hungarian, 0.813249561659848, 0.04539952943524693
RandomForest, hepatitis, 0.8225806451612903, 0.07162452681024038
RandomForest, ilpd-indian-liver, 0.7048010610079575, 0.03367965359465586
RandomForest, ionosphere, 0.9321851106639838, 0.031025947121713787
RandomForest, iris, 0.9473333333333332, 0.03061590000854675
RandomForest, led-display, 0.7097, 0.028747347703744767
RandomForest, libras, 0.8008333333333334, 0.051039351799359346
RandomForest, low-res-spect, 0.8941421266090636, 0.033512494391602414
RandomForest, lymphography, 0.8472873563218392, 0.07011193134668385
RandomForest, mammographic, 0.7956336355785838, 0.021570639366604298
RandomForest, molec-biol-promoter, 0.8914718614718615, 0.06923296108787423
RandomForest, musk-1, 0.8892916666666667, 0.032218163597528444
RandomForest, oocytes_merluccius_nucleus_4d, 0.8008857006217122, 0.026005202449345177
RandomForest, oocytes_merluccius_states_2f, 0.9224098517455765, 0.014089731590980637
RandomForest, oocytes_trisopterus_nucleus_2f, 0.8086627034168018, 0.02785857804335842
RandomForest, oocytes_trisopterus_states_5b, 0.9135879421125322, 0.018448127398280962
RandomForest, parkinsons, 0.906153846153846, 0.043092182889324544
RandomForest, pima, 0.7619658772599949, 0.029215416907967737
RandomForest, pittsburg-bridges-MATERIAL, 0.8291341991341992, 0.07027590215086539
RandomForest, pittsburg-bridges-REL-L, 0.6680952380952381, 0.07481193351882705
RandomForest, pittsburg-bridges-SPAN, 0.6433333333333333, 0.1000367396003129
RandomForest, pittsburg-bridges-T-OR-D, 0.8541428571428571, 0.0780557536653904
RandomForest, planning, 0.6983483483483484, 0.0654856086595986
RandomForest, post-operative, 0.6188888888888889, 0.09687079341723154
RandomForest, seeds, 0.9333333333333332, 0.041785544701867246
RandomForest, statlog-australian-credit, 0.6607246376811594, 0.04062342366030316
RandomForest, statlog-german-credit, 0.76, 0.023748684174075843
RandomForest, statlog-heart, 0.822962962962963, 0.04257809737244419
RandomForest, statlog-image, 0.9785714285714286, 0.007182103906076649
RandomForest, statlog-vehicle, 0.7494166376609818, 0.02747614895571888
RandomForest, synthetic-control, 0.9860000000000001, 0.010598742063723111
RandomForest, tic-tac-toe, 0.9884075043630017, 0.0071140588943835546
RandomForest, vertebral-column-2clases, 0.8322580645161289, 0.04539112025635577
RandomForest, wine, 0.9825873015873016, 0.02303907423919074
RandomForest, zoo, 0.9594761904761906, 0.04292716501935155
1 classifier dataset accuracy stdev
142 ODTE statlog-image 0.9641991341991343 0.007272340744212073
143 ODTE statlog-vehicle 0.8072182387747998 0.02404945671905629
144 ODTE synthetic-control 0.987 0.009741092797468319
145 ODTE tic-tac-toe 0.9846531413612564 0.9871591404886563 0.00756301332812281 0.0074727077754232615
146 ODTE vertebral-column-2clases 0.8564516129032256 0.037928954891305953
147 ODTE wine 0.9814285714285714 0.02424781771927406
148 ODTE zoo 0.9574761904761906 0.04557023434769017
244 Wodt vertebral-column-2clases 0.8138709677419353 0.04530047675895885
245 Wodt wine 0.967920634920635 0.028208046326376822
246 Wodt zoo 0.9514285714285715 0.043724036675722826
247 RandomForest balance-scale 0.8488000000000001 0.025562472493872744
248 RandomForest balloons 0.6583333333333333 0.24958298553119895
249 RandomForest breast-cancer-wisc-diag 0.9602856699270299 0.01304850246785924
250 RandomForest breast-cancer-wisc-prog 0.7889487179487179 0.062095973522275645
251 RandomForest breast-cancer-wisc 0.9682384378211717 0.012979760074633098
252 RandomForest breast-cancer 0.7173260738052026 0.05543339031060783
253 RandomForest cardiotocography-10clases 0.8729086992543498 0.01716119423915263
254 RandomForest cardiotocography-3clases 0.9415357083678542 0.011745284632829643
255 RandomForest conn-bench-sonar-mines-rocks 0.833437862950058 0.05787314265134896
256 RandomForest cylinder-bands 0.792147344374643 0.03975693903506292
257 RandomForest dermatology 0.9778563495001852 0.015194540700548658
258 RandomForest echocardiogram 0.8292592592592591 0.07125299167854407
259 RandomForest fertility 0.887 0.06067124524847005
260 RandomForest haberman-survival 0.7084822845055527 0.05577963957846104
261 RandomForest heart-hungarian 0.8169783752191703 0.047084407169907465
262 RandomForest hepatitis 0.8225806451612903 0.07162452681024038
263 RandomForest ilpd-indian-liver 0.7048010610079575 0.03367965359465586
264 RandomForest ionosphere 0.9327565392354125 0.02623998580282412
265 RandomForest iris 0.9499999999999998 0.03144660377352201
266 RandomForest led-display 0.7132000000000001 0.027545598559479512
267 RandomForest libras 0.8008333333333334 0.051039351799359346
268 RandomForest low-res-spect 0.8941421266090636 0.033512494391602414
269 RandomForest lymphography 0.8472873563218392 0.07011193134668385
270 RandomForest mammographic 0.8082259283246978 0.022691310103387825
271 RandomForest molec-biol-promoter 0.8914718614718615 0.06923296108787423
272 RandomForest musk-1 0.8892916666666667 0.032218163597528444
273 RandomForest oocytes_merluccius_nucleus_4d 0.8008857006217122 0.026005202449345177
274 RandomForest oocytes_merluccius_states_2f 0.9224098517455765 0.014089731590980637
275 RandomForest oocytes_trisopterus_nucleus_2f 0.80932324506095 0.02940827813910382
276 RandomForest oocytes_trisopterus_states_5b 0.9135879421125322 0.018448127398280962
277 RandomForest parkinsons 0.906153846153846 0.043092182889324544
278 RandomForest pima 0.7619658772599949 0.029215416907967737
279 RandomForest pittsburg-bridges-MATERIAL 0.8393939393939392 0.06465451660842308
280 RandomForest pittsburg-bridges-REL-L 0.6780476190476192 0.08371922895638823
281 RandomForest pittsburg-bridges-SPAN 0.6433333333333333 0.1000367396003129
282 RandomForest pittsburg-bridges-T-OR-D 0.856095238095238 0.07211284933039848
283 RandomForest planning 0.7022522522522522 0.06398440367639394
284 RandomForest post-operative 0.6344444444444445 0.08613082211681551
285 RandomForest seeds 0.9333333333333332 0.041785544701867246
286 RandomForest statlog-australian-credit 0.6682608695652174 0.03491189739487307
287 RandomForest statlog-german-credit 0.7622999999999999 0.02486382914999218
288 RandomForest statlog-heart 0.8307407407407408 0.044445987627530076
289 RandomForest statlog-image 0.9785714285714286 0.007182103906076649
290 RandomForest statlog-vehicle 0.7494166376609818 0.02747614895571888
291 RandomForest synthetic-control 0.9860000000000001 0.010598742063723111
292 RandomForest tic-tac-toe 0.9884075043630017 0.0071140588943835546
293 RandomForest vertebral-column-2clases 0.8322580645161289 0.04539112025635577
294 RandomForest wine 0.9825873015873016 0.02303907423919074
295 RandomForest zoo 0.9594761904761906 0.04292716501935155
296 BaggingStree balance-scale 0.9743999999999999 0.01893145530591877
297 BaggingStree balloons 0.7733333333333333 0.27235597621087326
298 BaggingStree breast-cancer-wisc-diag 0.9759276509858718 0.014451052166715531
299 BaggingStree breast-cancer-wisc-prog 0.8091410256410256 0.05525623326760874
300 BaggingStree breast-cancer-wisc 0.9682353545734841 0.013372407783798355
301 BaggingStree breast-cancer 0.7394494857834241 0.04747649879695565
302 BaggingStree cardiotocography-10clases 0.8287906103286384 0.019919444360845064
303 BaggingStree cardiotocography-3clases 0.9121377520022094 0.01484624306368222
304 BaggingStree conn-bench-sonar-mines-rocks 0.8364227642276423 0.05768447229690234
305 BaggingStree cylinder-bands 0.7509347039786789 0.041363431918714964
306 BaggingStree dermatology 0.983054424287301 0.01146631014778772
307 BaggingStree echocardiogram 0.855156695156695 0.06266151037590971
308 BaggingStree fertility 0.88 0.0547722557505166
309 BaggingStree haberman-survival 0.7359545214172395 0.047857454758329004
310 BaggingStree heart-hungarian 0.8299006428988897 0.050874048012859115
311 BaggingStree hepatitis 0.8283870967741934 0.06780028209248852
312 BaggingStree ilpd-indian-liver 0.7269378131447097 0.03708761542948765
313 BaggingStree ionosphere 0.9510100603621732 0.02418916928619684
314 BaggingStree iris 0.9653333333333335 0.032632635334721105
315 BaggingStree led-display 0.7218000000000001 0.027124896313165885
316 BaggingStree libras 0.8544444444444445 0.044724810139063854
317 BaggingStree low-res-spect 0.910904602362899 0.034998937080933226
318 BaggingStree lymphography 0.8511724137931036 0.060541983349731314
319 BaggingStree mammographic 0.8272695379965458 0.02450569044585343
320 BaggingStree molec-biol-promoter 0.8387012987012987 0.07620183897953593
321 BaggingStree musk-1 0.9128135964912282 0.029764363025043043
322 BaggingStree oocytes_merluccius_nucleus_4d 0.8454954567192731 0.02495631167694985
323 BaggingStree oocytes_merluccius_states_2f 0.9220148254423719 0.01653121938374588
324 BaggingStree oocytes_trisopterus_nucleus_2f 0.8103038491563082 0.020971220779186443
325 BaggingStree oocytes_trisopterus_states_5b 0.9239998799015193 0.01817568579552671
326 BaggingStree parkinsons 0.901025641025641 0.04865312826739729
327 BaggingStree pima 0.7726398438163143 0.028486201404109596
328 BaggingStree pittsburg-bridges-MATERIAL 0.8658874458874459 0.07136421080457399
329 BaggingStree pittsburg-bridges-REL-L 0.6818095238095239 0.09893968478062681
330 BaggingStree pittsburg-bridges-SPAN 0.7003508771929825 0.10417934569394204
331 BaggingStree pittsburg-bridges-T-OR-D 0.8628095238095238 0.0747571882042698
332 BaggingStree planning 0.7352702702702704 0.06697755238925641
333 BaggingStree post-operative 0.711111111111111 0.07535922203472521
334 BaggingStree seeds 0.9576190476190476 0.028686277108245766
335 BaggingStree statlog-australian-credit 0.6782608695652174 0.03904983647915211
336 BaggingStree statlog-german-credit 0.7656000000000001 0.028716545753276115
337 BaggingStree statlog-heart 0.8392592592592593 0.04262317742463941
338 BaggingStree statlog-image 0.9613419913419912 0.007744079362039781
339 BaggingStree statlog-vehicle 0.8039122868082146 0.02550795916537555
340 BaggingStree synthetic-control 0.9868333333333333 0.009441339358845712
341 BaggingStree tic-tac-toe 0.9862183682373472 0.007729402310947018
342 BaggingStree vertebral-column-2clases 0.8574193548387095 0.03942352546439275
343 BaggingStree wine 0.9791746031746031 0.025059546117196532
344 BaggingStree zoo 0.9664285714285715 0.04138270586454204
345 SVC balance-scale 0.9785600000000001 0.013711542582802286
346 SVC balloons 0.86 0.28501461950807594
347 SVC breast-cancer-wisc-diag 0.9753951249805931 0.014597293231205878
440 BaggingWodt vertebral-column-2clases 0.8429032258064517 0.04325588746295833
441 BaggingWodt wine 0.9831111111111112 0.020289564182456803
442 BaggingWodt zoo 0.9574761904761906 0.038427155222620905
BaggingStree balance-scale 0.9046400000000001 0.024778829673735604
BaggingStree balloons 0.7466666666666666 0.22543784558547889
BaggingStree breast-cancer-wisc-diag 0.9664291259121255 0.014671587276866486
BaggingStree breast-cancer-wisc-prog 0.7687564102564102 0.07070554199381442
BaggingStree breast-cancer-wisc 0.9678129496402877 0.013280622942249616
BaggingStree breast-cancer 0.7293768905021173 0.04592856682964331
BaggingStree cardiotocography-10clases 0.8248878210439105 0.020088771819471586
BaggingStree cardiotocography-3clases 0.8991088649544325 0.017672766557020134
BaggingStree conn-bench-sonar-mines-rocks 0.8200696864111499 0.04751360241183439
BaggingStree cylinder-bands 0.6814201408718826 0.04672859958144014
BaggingStree dermatology 0.983054424287301 0.01146631014778772
BaggingStree echocardiogram 0.855156695156695 0.06266151037590971
BaggingStree fertility 0.88 0.0547722557505166
BaggingStree haberman-survival 0.7353199365415125 0.048398466240040176
BaggingStree heart-hungarian 0.8207364114552892 0.04947084712984143
BaggingStree hepatitis 0.8019354838709677 0.07688254755551763
BaggingStree ilpd-indian-liver 0.7135661656351313 0.038048725185040336
BaggingStree ionosphere 0.9208088531187122 0.03440093358479876
BaggingStree iris 0.9553333333333331 0.0295221197673127
BaggingStree led-display 0.7128 0.029885782572989444
BaggingStree libras 0.8544444444444445 0.044724810139063854
BaggingStree low-res-spect 0.9043078822077234 0.031947679613072245
BaggingStree lymphography 0.7700689655172414 0.07050802195491458
BaggingStree mammographic 0.8272695379965458 0.02450569044585343
BaggingStree molec-biol-promoter 0.8387012987012987 0.07620183897953593
BaggingStree musk-1 0.8318991228070175 0.03598591892932648
BaggingStree oocytes_merluccius_nucleus_4d 0.7072391200382592 0.03671500267792582
BaggingStree oocytes_merluccius_states_2f 0.9130105212816835 0.018260354243601108
BaggingStree oocytes_trisopterus_nucleus_2f 0.7445030925358793 0.03262686720944289
BaggingStree oocytes_trisopterus_states_5b 0.8790548249564645 0.02150378389813439
BaggingStree parkinsons 0.8697435897435898 0.04751275824369424
BaggingStree pima 0.759612087259146 0.025906439151399386
BaggingStree pittsburg-bridges-MATERIAL 0.8563636363636362 0.07381651843817168
BaggingStree pittsburg-bridges-REL-L 0.6818095238095239 0.09893968478062681
BaggingStree pittsburg-bridges-SPAN 0.6563157894736843 0.10692196863427415
BaggingStree pittsburg-bridges-T-OR-D 0.8628095238095238 0.0747571882042698
BaggingStree planning 0.7143693693693695 0.0715459100205182
BaggingStree post-operative 0.711111111111111 0.07535922203472521
BaggingStree seeds 0.939047619047619 0.04045097253637199
BaggingStree statlog-australian-credit 0.6782608695652174 0.03904983647915211
BaggingStree statlog-german-credit 0.7364999999999999 0.03200390601161053
BaggingStree statlog-heart 0.8392592592592593 0.04262317742463941
BaggingStree statlog-image 0.9594372294372293 0.008806199315273038
BaggingStree statlog-vehicle 0.7127880264531847 0.04127485840961743
BaggingStree synthetic-control 0.9860000000000001 0.008406346808612346
BaggingStree tic-tac-toe 0.7933235165794066 0.042192838956410524
BaggingStree vertebral-column-2clases 0.8487096774193548 0.042781783007912466
BaggingStree wine 0.978063492063492 0.025306267118142396
BaggingStree zoo 0.9664285714285715 0.04138270586454204
Bagging balance-scale nan nan
Bagging balloons nan nan
Bagging breast-cancer-wisc-diag nan nan
Bagging breast-cancer-wisc-prog nan nan
Bagging breast-cancer-wisc nan nan
Bagging breast-cancer nan nan
Bagging cardiotocography-10clases nan nan
Bagging cardiotocography-3clases nan nan
Bagging conn-bench-sonar-mines-rocks nan nan
Bagging cylinder-bands nan nan
Bagging dermatology nan nan
Bagging echocardiogram nan nan
Bagging fertility nan nan
Bagging haberman-survival nan nan
Bagging heart-hungarian nan nan
Bagging hepatitis nan nan
Bagging ilpd-indian-liver nan nan
Bagging ionosphere nan nan
Bagging iris nan nan
Bagging led-display nan nan
Bagging libras nan nan
Bagging low-res-spect nan nan
Bagging lymphography nan nan
Bagging mammographic nan nan
Bagging molec-biol-promoter nan nan
Bagging musk-1 nan nan
Bagging oocytes_merluccius_nucleus_4d nan nan
Bagging oocytes_merluccius_states_2f nan nan
Bagging oocytes_trisopterus_nucleus_2f nan nan
Bagging oocytes_trisopterus_states_5b nan nan
Bagging parkinsons nan nan
Bagging pima nan nan
Bagging pittsburg-bridges-MATERIAL nan nan
Bagging pittsburg-bridges-REL-L nan nan
Bagging pittsburg-bridges-SPAN nan nan
Bagging pittsburg-bridges-T-OR-D nan nan
Bagging planning nan nan
Bagging post-operative nan nan
Bagging seeds nan nan
Bagging statlog-australian-credit nan nan
Bagging statlog-german-credit nan nan
Bagging statlog-heart nan nan
Bagging statlog-image nan nan
Bagging statlog-vehicle nan nan
Bagging synthetic-control nan nan
Bagging tic-tac-toe nan nan
Bagging vertebral-column-2clases nan nan
Bagging wine nan nan
Bagging zoo nan nan
443 Cart balance-scale 0.7820799999999999 0.03608203985364464
444 Cart balloons 0.6833333333333335 0.26977356760397747
445 Cart breast-cancer-wisc-diag 0.9239217512808571 0.02323176886368342
542 TBRRoF balloons 0.64875 0.23921130353453926
543 TBRRoF breast-cancer-wisc-diag 0.9734979808923474 0.01211458933120479
544 TBRRoF breast-cancer-wisc-prog 0.8079471788715488 0.05471208977777354
545 TBRRoF breast-cancer-wisc 0.9688194038573934 0.9684692187804401 0.01104260329962437 0.011827258213964388
546 TBRRoF breast-cancer 0.7354775226702683 0.04827367740143163
547 TBRRoF cardiotocography-10clases 0.8288138243181649 0.01645252887633946
548 TBRRoF cardiotocography-3clases 0.9224819890962925 0.011610247810599902
549 TBRRoF conn-bench-sonar-mines-rocks 0.8375 0.834423076923077 0.053844346412695955 0.05150748510916756
550 TBRRoF cylinder-bands 0.767890625 0.03324347930143141
551 TBRRoF dermatology 0.9746077041238331 0.014736301000625167
552 TBRRoF echocardiogram 0.8499598214285714 0.05162023787508073
554 TBRRoF haberman-survival 0.7374089068825913 0.044260313726551134
555 TBRRoF heart-hungarian 0.8190036529680362 0.03888797653544859
556 TBRRoF hepatitis 0.8227984595635432 0.0532198072811453
557 TBRRoF ilpd-indian-liver 0.7193709226467846 0.714239981360671 0.023486304382908652 0.033670460871576914
558 TBRRoF ionosphere 0.9459827586206895 0.02184731993247911
559 TBRRoF iris 0.9658281358281358 0.02676690588381821
560 TBRRoF led-display 0.68436 0.04995546157031798
561 TBRRoF libras 0.8801666666666665 0.03679035193712203
562 TBRRoF low-res-spect 0.8999957912457909 0.026355170969855124
563 TBRRoF lymphography 0.8621621621621622 0.8536486486486488 0.05538892305924108 0.05135724820856693
564 TBRRoF mammographic 0.8280522130013831 0.020736800209974978
565 TBRRoF molec-biol-promoter 0.8082417582417584 0.8059340659340658 0.08100093455762149 0.07345265473126247
566 TBRRoF musk-1 0.8918907563025209 0.028415223920829437
567 TBRRoF oocytes_merluccius_nucleus_4d 0.8403234912642101 0.8380727855344474 0.018770954783619315 0.021149025869688552
568 TBRRoF oocytes_merluccius_states_2f 0.9260048065918971 0.01392436830249517
569 TBRRoF oocytes_trisopterus_nucleus_2f 0.8344298245614035 0.8335307017543863 0.02138638757870041 0.025458035585743156
570 TBRRoF oocytes_trisopterus_states_5b 0.9350877192982455 0.931666666666666 0.013985948140735555 0.01590439823771617
571 TBRRoF parkinsons 0.9318872549019607 0.03330032511327817
572 TBRRoF pima 0.768046875 0.028059285918720294
573 TBRRoF pittsburg-bridges-MATERIAL 0.8622252747252745 0.05272285056647456
574 TBRRoF pittsburg-bridges-REL-L 0.6864928571428571 0.08623338832389287
575 TBRRoF pittsburg-bridges-SPAN 0.6956521739130435 0.6932608695652175 0.06464277753695896 0.08145095608868286
576 TBRRoF pittsburg-bridges-T-OR-D 0.8713629629629633 0.06055900326616563
577 TBRRoF planning 0.7224751773049648 0.05837993833973262
578 TBRRoF post-operative 0.7113068181818182 0.08162598674627758
579 TBRRoF seeds 0.9512464387464385 0.9474358974358972 0.033266940266918926 0.027630596849567368
580 TBRRoF statlog-australian-credit 0.6782665062817429 0.029157752633879357
581 TBRRoF statlog-german-credit 0.7592000000000001 0.7554400000000001 0.019449259220096972 0.024236821524035296
582 TBRRoF statlog-heart 0.8392277741726153 0.8349664719878868 0.037384083235462114 0.0410218444181296
583 TBRRoF statlog-image 0.9756969824863881 0.006903978139917843
584 TBRRoF statlog-vehicle 0.7870681752441981 0.026493453010463675
585 TBRRoF synthetic-control 0.9919999999999998 0.9910666666666664 0.009575797952794753 0.00849185901074688
586 TBRRoF tic-tac-toe 0.9844217781558706 0.008102161082608183
587 TBRRoF vertebral-column-2clases 0.8515140555646883 0.03497531619650492
588 TBRRoF wine 0.9821640316205533 0.9804743083003953 0.018615197860478525 0.020476239593149058
589 TBRRoF zoo 0.9492615384615388 0.04884462984878655
590 TBRaF balance-scale 0.8975269475747183 0.023461084398242734
591 TBRaF balloons 0.6375 0.59875 0.23612831034708318 0.23763055126492547
592 TBRaF breast-cancer-wisc-diag 0.9722372697724811 0.9693809711415347 0.013193347862443736 0.012888038813231393
593 TBRaF breast-cancer-wisc-prog 0.801140456182473 0.8002541016406561 0.05994146019366561 0.05869323051922061
594 TBRaF breast-cancer-wisc 0.9685330216247806 0.011892547172713566
595 TBRaF breast-cancer 0.732153193131391 0.04414297240873954
596 TBRaF cardiotocography-10clases 0.8268112132229536 0.016587713750123762
598 TBRaF conn-bench-sonar-mines-rocks 0.8092307692307693 0.052101905394016206
599 TBRaF cylinder-bands 0.748671875 0.037879462930709165
600 TBRaF dermatology 0.974489542715349 0.015244381530713037
601 TBRaF echocardiogram 0.8470982142857144 0.8456473214285714 0.04121407375891862 0.06257980864237837
602 TBRaF fertility 0.8804000000000003 0.05947711861036103
603 TBRaF haberman-survival 0.7405026990553306 0.7328744939271254 0.04442778063213871 0.04650268909435261
604 TBRaF heart-hungarian 0.819897716894977 0.040808946053684174
605 TBRaF hepatitis 0.8308087291399229 0.8162130937098846 0.030786481618938533 0.057721855658188784
606 TBRaF ilpd-indian-liver 0.7113035880708294 0.03241044043427038
607 TBRaF ionosphere 0.9350574712643678 0.932176245210728 0.03531528446913812 0.027745840941158267
608 TBRaF iris 0.9625086625086627 0.9624047124047124 0.02370416415994463 0.027672604537966147
609 TBRaF led-display 0.7121600000000001 0.025910057029585667
610 TBRaF libras 0.8463888888888887 0.03918389343605342
611 TBRaF low-res-spect 0.9000336700336697 0.023601420494052557
612 TBRaF lymphography 0.8422972972972973 0.0589135421754256
613 TBRaF mammographic 0.8293430152143845 0.827950899031812 0.022325145379837995 0.021234429745443983
614 TBRaF molec-biol-promoter 0.7957554945054945 0.07181386667033816
615 TBRaF musk-1 0.8739495798319328 0.0282061820436449
616 TBRaF oocytes_merluccius_nucleus_4d 0.8366516365300984 0.02109662119057668
617 TBRaF oocytes_merluccius_states_2f 0.9237768368047604 0.015521407216536862
618 TBRaF oocytes_trisopterus_nucleus_2f 0.8346491228070174 0.8296710526315794 0.019722730155514016 0.02406624812234792
619 TBRaF oocytes_trisopterus_states_5b 0.9273903508771925 0.016976508458830007
620 TBRaF parkinsons 0.9110845588235295 0.03900626598564447
621 TBRaF pima 0.7598958333333333 0.7593229166666666 0.02539774065272653 0.028362314210191343
622 TBRaF pittsburg-bridges-MATERIAL 0.8643956043956043 0.0575076392003003
623 TBRaF pittsburg-bridges-REL-L 0.6964571428571429 0.08540119415248532
624 TBRaF pittsburg-bridges-SPAN 0.6832608695652175 0.08456145562451363
625 TBRaF pittsburg-bridges-T-OR-D 0.8654074074074076 0.059112371460567796
626 TBRaF planning 0.7153900709219856 0.7097068557919625 0.05557611621471211 0.055516738956114635
627 TBRaF post-operative 0.707007575757576 0.7067613636363635 0.10139602230667759 0.08307013468275573
628 TBRaF seeds 0.9433297720797718 0.03028629022052037
629 TBRaF statlog-australian-credit 0.6782812082330928 0.6782645014701952 0.03941790588788404 0.030260627344985316
630 TBRaF statlog-german-credit 0.7564000000000001 0.74954 0.023820380482179344 0.026938015580533888
631 TBRaF statlog-heart 0.8361345446679644 0.8338795154661477 0.04254934551175193 0.03857659315818731
632 TBRaF statlog-image 0.9680695515784999 0.007978763699442637
633 TBRaF statlog-vehicle 0.7753996172930158 0.02537062422962424
634 TBRaF synthetic-control 0.9886666666666664 0.008239844094951121
635 TBRaF tic-tac-toe 0.9768216462091356 0.9759070469973432 0.010279827512750403 0.012840130632245466
636 TBRaF vertebral-column-2clases 0.8508877198750617 0.8492429722176555 0.031040561304764965 0.03473914078871642
637 TBRaF wine 0.9804347826086953 0.019004456684509077
638 TBRaF zoo 0.9336076923076927 0.058309997782000134
RandomForest balance-scale 0.83616 0.02649630917694009
RandomForest balloons 0.625 0.24958298553119898
RandomForest breast-cancer-wisc-diag 0.9602856699270299 0.01304850246785924
RandomForest breast-cancer-wisc-prog 0.7889487179487179 0.062095973522275645
RandomForest breast-cancer-wisc 0.9678078108941419 0.013450156204218109
RandomForest breast-cancer 0.7173260738052026 0.05543339031060783
RandomForest cardiotocography-10clases 0.8729086992543498 0.01716119423915263
RandomForest cardiotocography-3clases 0.9415357083678542 0.011745284632829643
RandomForest conn-bench-sonar-mines-rocks 0.833437862950058 0.05787314265134896
RandomForest cylinder-bands 0.792147344374643 0.03975693903506292
RandomForest dermatology 0.9778563495001852 0.015194540700548658
RandomForest echocardiogram 0.8139316239316239 0.07230626105687148
RandomForest fertility 0.8740000000000001 0.0626418390534633
RandomForest haberman-survival 0.7029666842940243 0.046522788130533295
RandomForest heart-hungarian 0.813249561659848 0.04539952943524693
RandomForest hepatitis 0.8225806451612903 0.07162452681024038
RandomForest ilpd-indian-liver 0.7048010610079575 0.03367965359465586
RandomForest ionosphere 0.9321851106639838 0.031025947121713787
RandomForest iris 0.9473333333333332 0.03061590000854675
RandomForest led-display 0.7097 0.028747347703744767
RandomForest libras 0.8008333333333334 0.051039351799359346
RandomForest low-res-spect 0.8941421266090636 0.033512494391602414
RandomForest lymphography 0.8472873563218392 0.07011193134668385
RandomForest mammographic 0.7956336355785838 0.021570639366604298
RandomForest molec-biol-promoter 0.8914718614718615 0.06923296108787423
RandomForest musk-1 0.8892916666666667 0.032218163597528444
RandomForest oocytes_merluccius_nucleus_4d 0.8008857006217122 0.026005202449345177
RandomForest oocytes_merluccius_states_2f 0.9224098517455765 0.014089731590980637
RandomForest oocytes_trisopterus_nucleus_2f 0.8086627034168018 0.02785857804335842
RandomForest oocytes_trisopterus_states_5b 0.9135879421125322 0.018448127398280962
RandomForest parkinsons 0.906153846153846 0.043092182889324544
RandomForest pima 0.7619658772599949 0.029215416907967737
RandomForest pittsburg-bridges-MATERIAL 0.8291341991341992 0.07027590215086539
RandomForest pittsburg-bridges-REL-L 0.6680952380952381 0.07481193351882705
RandomForest pittsburg-bridges-SPAN 0.6433333333333333 0.1000367396003129
RandomForest pittsburg-bridges-T-OR-D 0.8541428571428571 0.0780557536653904
RandomForest planning 0.6983483483483484 0.0654856086595986
RandomForest post-operative 0.6188888888888889 0.09687079341723154
RandomForest seeds 0.9333333333333332 0.041785544701867246
RandomForest statlog-australian-credit 0.6607246376811594 0.04062342366030316
RandomForest statlog-german-credit 0.76 0.023748684174075843
RandomForest statlog-heart 0.822962962962963 0.04257809737244419
RandomForest statlog-image 0.9785714285714286 0.007182103906076649
RandomForest statlog-vehicle 0.7494166376609818 0.02747614895571888
RandomForest synthetic-control 0.9860000000000001 0.010598742063723111
RandomForest tic-tac-toe 0.9884075043630017 0.0071140588943835546
RandomForest vertebral-column-2clases 0.8322580645161289 0.04539112025635577
RandomForest wine 0.9825873015873016 0.02303907423919074
RandomForest zoo 0.9594761904761906 0.04292716501935155

50
results/exreport_accuracy.txt
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@@ -1,41 +1,39 @@
---------------------------------------------------------------------
Friedman test, objetive maximize output variable accuracy. Obtained p-value: 6.6349e-82
Chi squared with 13 degrees of freedom statistic: 421.4222
Test rejected: p-value: 6.6349e-82 < 0.0500
Friedman test, objetive maximize output variable accuracy. Obtained p-value: 3.5365e-68
Chi squared with 12 degrees of freedom statistic: 352.8361
Test rejected: p-value: 3.5365e-68 < 0.0500
---------------------------------------------------------------------
Control post hoc test for output accuracy
Adjust method: Holm
Control method: ODTE
p-values:
TBRRoF 0.2667
SVC 0.0337
TBRaF 0.0337
STree 0.0305
BaggingWodt 0.0181
RandomForest 0.0001
TBRoF 0.0001
BaggingStree 0.0000
BaggingStree 0.4919
TBRRoF 0.2100
SVC 0.0072
BaggingWodt 0.0068
STree 0.0052
TBRaF 0.0022
RandomForest 0.0002
TBRoF 0.0000
Hedge 0.0000
Wodt 0.0000
Cart 0.0000
ExtraTree 0.0000
Bagging 0.0000
---------------------------------------------------------------------
$testMultiple
classifier pvalue rank win tie loss
ODTE ODTE NA 2.918367 NA NA NA
TBRRoF TBRRoF 2.666656e-01 3.857143 30 0 19
TBRaF TBRaF 3.368966e-02 5.040816 37 0 12
SVC SVC 3.368966e-02 5.061224 34 3 12
STree STree 3.049694e-02 5.173469 36 6 7
BaggingWodt BaggingWodt 1.808617e-02 5.377551 33 1 15
RandomForest RandomForest 9.782582e-05 6.561224 39 0 10
TBRoF TBRoF 6.942731e-05 6.653061 43 0 6
BaggingStree BaggingStree 1.994251e-05 6.897959 42 4 3
Hedge Hedge 3.459008e-14 9.561224 47 0 2
Wodt Wodt 1.250970e-16 10.142857 49 0 0
Cart Cart 2.205000e-22 11.346939 48 0 1
ExtraTree ExtraTree 3.546304e-28 12.408163 49 0 0
Bagging Bagging 3.655835e-38 14.000000 49 0 0
ODTE ODTE NA 3.091837 NA NA NA
BaggingStree BaggingStree 4.918524e-01 3.632653 27 5 17
TBRRoF TBRRoF 2.099730e-01 4.367347 34 0 15
SVC SVC 7.221246e-03 5.479592 35 3 11
BaggingWodt BaggingWodt 6.791738e-03 5.561224 33 1 15
STree STree 5.168361e-03 5.673469 36 6 7
TBRaF TBRaF 2.170524e-03 5.897959 39 0 10
RandomForest RandomForest 2.461390e-04 6.346939 38 0 11
TBRoF TBRoF 5.434435e-06 7.000000 43 0 6
Hedge Hedge 3.112186e-16 9.724490 47 0 2
Wodt Wodt 2.308557e-19 10.367347 49 0 0
Cart Cart 4.521871e-25 11.408163 48 0 1
ExtraTree ExtraTree 1.549559e-31 12.448980 49 0 0

16
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@@ -1,21 +1,17 @@
Warning messages:
1: Removed 49 rows containing missing values (geom_bar).
2: Removed 49 rows containing missing values (geom_bar).
3: In grSoftVersion() :
1: In grSoftVersion() :
unable to load shared object '/Library/Frameworks/R.framework/Resources/modules//R_X11.so':
dlopen(/Library/Frameworks/R.framework/Resources/modules//R_X11.so, 0x0006): Library not loaded: /opt/X11/lib/libSM.6.dylib
Referenced from: /Library/Frameworks/R.framework/Versions/4.0/Resources/modules/R_X11.so
Reason: tried: '/opt/X11/lib/libSM.6.dylib' (no such file), '/Library/Frameworks/R.framework/Resources/lib/libSM.6.dylib' (no such file), '/Library/Java/JavaVirtualMachines/jdk1.8.0_241.jdk/Contents/Home/jre/lib/server/libSM.6.dylib' (no such file)
4: In cairoVersion() :
2: In cairoVersion() :
unable to load shared object '/Library/Frameworks/R.framework/Resources/library/grDevices/libs//cairo.so':
dlopen(/Library/Frameworks/R.framework/Resources/library/grDevices/libs//cairo.so, 0x0006): Library not loaded: /opt/X11/lib/libXrender.1.dylib
Referenced from: /Library/Frameworks/R.framework/Versions/4.0/Resources/library/grDevices/libs/cairo.so
Reason: tried: '/opt/X11/lib/libXrender.1.dylib' (no such file), '/Library/Frameworks/R.framework/Resources/lib/libXrender.1.dylib' (no such file), '/Library/Java/JavaVirtualMachines/jdk1.8.0_241.jdk/Contents/Home/jre/lib/server/libXrender.1.dylib' (no such file)
3: In svg(paste(figPath, id, ".svg", sep = ""), width = 11.69, height = 8.27) :
failed to load cairo DLL
4: In svg(paste(figPath, id, ".svg", sep = ""), width = 11.69, height = 8.27) :
failed to load cairo DLL
5: In svg(paste(figPath, id, ".svg", sep = ""), width = 11.69, height = 8.27) :
failed to load cairo DLL
6: Removed 49 rows containing missing values (geom_bar).
7: Removed 49 rows containing missing values (geom_bar).
8: In svg(paste(figPath, id, ".svg", sep = ""), width = 11.69, height = 8.27) :
failed to load cairo DLL
9: In svg(paste(figPath, id, ".svg", sep = ""), width = 11.69, height = 8.27) :
failed to load cairo DLL

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src/Results.py
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@@ -717,7 +717,12 @@ class Summary:
data = [x for x in data if x["score"] == score]
if model:
data = [x for x in data if x["model"] == model]
data = sorted(data, key=itemgetter(sort_key, "time"), reverse=True)
keys = (
itemgetter(sort_key, "time")
if sort_key == "date"
else itemgetter(sort_key, "date", "time")
)
data = sorted(data, key=keys, reverse=True)
if number > 0:
data = data[:number]
max_file = max(len(x["file"]) for x in data)