Complete pair_check & hidden results

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2022-03-01 23:13:53 +01:00
parent df7280aa10
commit a4ddcda5d6
6 changed files with 34 additions and 681 deletions

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classifier, dataset, accuracy, stdev
ExtraTree, balance-scale, 0.7878399999999999, 0.03687783073880566
ExtraTree, balloons, 0.575, 0.28927591596182967
ExtraTree, breast-cancer-wisc-diag, 0.9131858407079645, 0.027969722048511687
ExtraTree, breast-cancer-wisc-prog, 0.6632179487179486, 0.07656410793102837
ExtraTree, breast-cancer-wisc, 0.9403360739979445, 0.02165140889671454
ExtraTree, breast-cancer, 0.656908650937689, 0.05914309228326181
ExtraTree, cardiotocography-10clases, 0.6989177575255454, 0.030051929270415455
ExtraTree, cardiotocography-3clases, 0.8819887323943664, 0.01507833257138732
ExtraTree, conn-bench-sonar-mines-rocks, 0.6956445993031357, 0.07653320217222026
ExtraTree, cylinder-bands, 0.6958918713116314, 0.04592870865503856
ExtraTree, dermatology, 0.8975268419104035, 0.039527668904658364
ExtraTree, echocardiogram, 0.7305982905982905, 0.08853188223988526
ExtraTree, fertility, 0.8059999999999999, 0.06902173570694958
ExtraTree, haberman-survival, 0.6500105764145954, 0.06301971546791206
ExtraTree, heart-hungarian, 0.7604909409701931, 0.04869532741159298
ExtraTree, hepatitis, 0.7793548387096775, 0.07805118521205993
ExtraTree, ilpd-indian-liver, 0.6634232242852933, 0.03869963692900845
ExtraTree, ionosphere, 0.8540885311871226, 0.04332727262995767
ExtraTree, iris, 0.9333333333333335, 0.044221663871405324
ExtraTree, led-display, 0.7036999999999999, 0.02880642289490313
ExtraTree, libras, 0.6022222222222223, 0.05851558829982036
ExtraTree, low-res-spect, 0.8043255157820492, 0.03860708555393554
ExtraTree, lymphography, 0.7288505747126437, 0.07209829097764534
ExtraTree, mammographic, 0.7595207253886009, 0.027055981087449776
ExtraTree, molec-biol-promoter, 0.6611255411255411, 0.09268635844993099
ExtraTree, musk-1, 0.7796030701754388, 0.043688902783382194
ExtraTree, oocytes_merluccius_nucleus_4d, 0.6907929220468675, 0.025573299489788766
ExtraTree, oocytes_merluccius_states_2f, 0.8678149210903873, 0.01875101003253329
ExtraTree, oocytes_trisopterus_nucleus_2f, 0.6820134510298443, 0.035675489219353006
ExtraTree, oocytes_trisopterus_states_5b, 0.8403422806701495, 0.02618600526924095
ExtraTree, parkinsons, 0.8482051282051282, 0.06020783639564789
ExtraTree, pima, 0.6649944826415415, 0.03466246243736563
ExtraTree, pittsburg-bridges-MATERIAL, 0.7835930735930735, 0.07970952540707685
ExtraTree, pittsburg-bridges-REL-L, 0.6253333333333333, 0.10873604896570042
ExtraTree, pittsburg-bridges-SPAN, 0.5715204678362573, 0.12252433352049193
ExtraTree, pittsburg-bridges-T-OR-D, 0.8365714285714287, 0.08634786997098468
ExtraTree, planning, 0.5972672672672672, 0.08066489784697915
ExtraTree, post-operative, 0.5733333333333334, 0.10566660824861103
ExtraTree, seeds, 0.8838095238095236, 0.04354995567685211
ExtraTree, statlog-australian-credit, 0.5704347826086956, 0.041879795179494514
ExtraTree, statlog-german-credit, 0.6663999999999999, 0.030692670134740637
ExtraTree, statlog-heart, 0.7507407407407407, 0.04860326215293292
ExtraTree, statlog-image, 0.928917748917749, 0.011578447915777758
ExtraTree, statlog-vehicle, 0.6626481030281935, 0.029721786236711036
ExtraTree, synthetic-control, 0.8525, 0.03449033681095813
ExtraTree, tic-tac-toe, 0.8658529668411867, 0.030146489305175026
ExtraTree, vertebral-column-2clases, 0.747741935483871, 0.06311049392365933
ExtraTree, wine, 0.8719999999999999, 0.06055135103670992
ExtraTree, zoo, 0.9346666666666665, 0.06150449350322653
STree, balance-scale, 0.97056, 0.015046806970251203
STree, balloons, 0.86, 0.28501461950807594
STree, breast-cancer-wisc-diag, 0.9727635460332246, 0.017313211324042233
STree, breast-cancer-wisc-prog, 0.811128205128205, 0.05846009894763935
STree, breast-cancer-wisc, 0.967808838643371, 0.012084225264206064
STree, breast-cancer, 0.7342105263157894, 0.047977358056609264
STree, cardiotocography-10clases, 0.8094129798398231, 0.023346080031830214
STree, cardiotocography-3clases, 0.904047500690417, 0.015332156149647586
STree, conn-bench-sonar-mines-rocks, 0.8320905923344947, 0.06095204566527709
STree, cylinder-bands, 0.7476127926898914, 0.04110007272505122
STree, dermatology, 0.9729211403184006, 0.019813499795909784
STree, echocardiogram, 0.855156695156695, 0.06266151037590971
STree, fertility, 0.88, 0.0547722557505166
STree, haberman-survival, 0.735637228979376, 0.04346136548997221
STree, heart-hungarian, 0.8275219170075979, 0.05052827428335672
STree, hepatitis, 0.8245161290322581, 0.073887165430815
STree, ilpd-indian-liver, 0.7234983790156204, 0.038488555090414656
STree, ionosphere, 0.9532756539235413, 0.02385368651558141
STree, iris, 0.966, 0.032991581417756315
STree, led-display, 0.7030000000000001, 0.029120439557122058
STree, libras, 0.7886111111111112, 0.05169130237032862
STree, low-res-spect, 0.8975365896667254, 0.03121679591619338
STree, lymphography, 0.8350344827586206, 0.05906491141171708
STree, mammographic, 0.8267465457685665, 0.022926835290767923
STree, molec-biol-promoter, 0.827142857142857, 0.09431966640910128
STree, musk-1, 0.9163881578947368, 0.027520787090975468
STree, oocytes_merluccius_nucleus_4d, 0.8351252989000477, 0.02209607725442717
STree, oocytes_merluccius_states_2f, 0.9179062649450025, 0.016316580296653664
STree, oocytes_trisopterus_nucleus_2f, 0.8009860085269921, 0.0218449453461112
STree, oocytes_trisopterus_states_5b, 0.9224704257491143, 0.01772207930954525
STree, parkinsons, 0.882051282051282, 0.04783271309276316
STree, pima, 0.7692530345471521, 0.02618732989053553
STree, pittsburg-bridges-MATERIAL, 0.8677489177489177, 0.07122264688853039
STree, pittsburg-bridges-REL-L, 0.6672857142857144, 0.09562399199889633
STree, pittsburg-bridges-SPAN, 0.6794736842105265, 0.10621707149419587
STree, pittsburg-bridges-T-OR-D, 0.8628095238095238, 0.0747571882042698
STree, planning, 0.7352702702702704, 0.06697755238925641
STree, post-operative, 0.711111111111111, 0.07535922203472521
STree, seeds, 0.9528571428571427, 0.0279658035429067
STree, statlog-australian-credit, 0.6782608695652174, 0.03904983647915211
STree, statlog-german-credit, 0.7644, 0.028803472012936236
STree, statlog-heart, 0.8229629629629629, 0.044003990341567836
STree, statlog-image, 0.9559307359307361, 0.00956073126474503
STree, statlog-vehicle, 0.7930281935259312, 0.03010396812322711
STree, synthetic-control, 0.9833333333333334, 0.01092906420717001
STree, tic-tac-toe, 0.9844442626527051, 0.008387465200358178
STree, vertebral-column-2clases, 0.8529032258064515, 0.04088510843291576
STree, wine, 0.9791587301587302, 0.022426953738041516
STree, zoo, 0.9575238095238094, 0.04546150348723332
ODTE, balance-scale, 0.97376, 0.019001642034308507
ODTE, balloons, 0.7583333333333333, 0.2785129161178067
ODTE, breast-cancer-wisc-diag, 0.9739931687626143, 0.016554866765950735
ODTE, breast-cancer-wisc-prog, 0.810102564102564, 0.06056448251036948
ODTE, breast-cancer-wisc, 0.971956834532374, 0.01262594441445573
ODTE, breast-cancer, 0.7433877797943134, 0.04272794739105822
ODTE, cardiotocography-10clases, 0.8377754211543773, 0.020035258312140675
ODTE, cardiotocography-3clases, 0.9158537420602043, 0.013571959275117652
ODTE, conn-bench-sonar-mines-rocks, 0.8431475029036002, 0.052081786915494255
ODTE, cylinder-bands, 0.7673272415762422, 0.041472855015354505
ODTE, dermatology, 0.9805997778600516, 0.012861009889409938
ODTE, echocardiogram, 0.855156695156695, 0.06266151037590971
ODTE, fertility, 0.88, 0.0547722557505166
ODTE, haberman-survival, 0.7408778424114226, 0.05131929321866528
ODTE, heart-hungarian, 0.8299123319696085, 0.05556757760909393
ODTE, hepatitis, 0.8283870967741936, 0.07109665710428856
ODTE, ilpd-indian-liver, 0.7272885352195698, 0.039873431660598986
ODTE, ionosphere, 0.9504346076458754, 0.023708279806973313
ODTE, iris, 0.964, 0.03255081497528987
ODTE, led-display, 0.7186, 0.02703775138579389
ODTE, libras, 0.8625, 0.047079031268550814
ODTE, low-res-spect, 0.9093969317580672, 0.035428439542986974
ODTE, lymphography, 0.8410574712643678, 0.05833785272114171
ODTE, mammographic, 0.8288347366148531, 0.022955531218077037
ODTE, molec-biol-promoter, 0.8656709956709955, 0.0973712407439469
ODTE, musk-1, 0.9124013157894737, 0.02990026230299551
ODTE, oocytes_merluccius_nucleus_4d, 0.8443271162123385, 0.026958181251392942
ODTE, oocytes_merluccius_states_2f, 0.9230946915351506, 0.015908353110954166
ODTE, oocytes_trisopterus_nucleus_2f, 0.8154464661022038, 0.022327974942331383
ODTE, oocytes_trisopterus_states_5b, 0.9267387257551191, 0.01807476944375977
ODTE, parkinsons, 0.9066666666666667, 0.04522134909753559
ODTE, pima, 0.7728910958322721, 0.02900120258111359
ODTE, pittsburg-bridges-MATERIAL, 0.8677489177489177, 0.06934417716014449
ODTE, pittsburg-bridges-REL-L, 0.6966190476190477, 0.099521633605742
ODTE, pittsburg-bridges-SPAN, 0.6937426900584795, 0.10948613227073402
ODTE, pittsburg-bridges-T-OR-D, 0.8664761904761904, 0.07649172587269897
ODTE, planning, 0.7352702702702704, 0.06697755238925641
ODTE, post-operative, 0.711111111111111, 0.07535922203472521
ODTE, seeds, 0.9571428571428572, 0.027355060221609648
ODTE, statlog-australian-credit, 0.6782608695652174, 0.03904983647915211
ODTE, statlog-german-credit, 0.7576, 0.029227384419410526
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, 0.9871591404886563, 0.0074727077754232615
ODTE, vertebral-column-2clases, 0.8564516129032256, 0.037928954891305953
ODTE, wine, 0.9814285714285714, 0.02424781771927406
ODTE, zoo, 0.9574761904761906, 0.04557023434769017
TBRoF, balance-scale, 0.7826380042462844, 0.18925694969056328
TBRoF, balloons, 0.61125, 0.247725203364352
TBRoF, breast-cancer-wisc-diag, 0.973283758495026, 0.013244810623357882
TBRoF, breast-cancer-wisc-prog, 0.7978151260504203, 0.05694766463433709
TBRoF, breast-cancer-wisc, 0.9627849210987725, 0.012721293409234216
TBRoF, breast-cancer, 0.7308990931892726, 0.055966571642361095
TBRoF, cardiotocography-10clases, 0.7833492331011966, 0.021307069831893954
TBRoF, cardiotocography-3clases, 0.895985255615268, 0.012308158973203483
TBRoF, conn-bench-sonar-mines-rocks, 0.7877884615384616, 0.04851951284665777
TBRoF, cylinder-bands, 0.7170703125, 0.035382373191454965
TBRoF, dermatology, 0.9742673992673991, 0.015317005568040842
TBRoF, echocardiogram, 0.8331428571428572, 0.05716070028311154
TBRoF, fertility, 0.8800000000000006, 0.05570922354457741
TBRoF, haberman-survival, 0.7412618083670716, 0.03733056862694105
TBRoF, heart-hungarian, 0.814958904109589, 0.03136114741864325
TBRoF, hepatitis, 0.8127086007702183, 0.05401110717213335
TBRoF, ilpd-indian-liver, 0.7232548928238585, 0.02812722020593907
TBRoF, ionosphere, 0.907727969348659, 0.03151367661074491
TBRoF, iris, 0.9774601524601525, 0.022227864533454735
TBRoF, led-display, 0.7098000000000001, 0.026706198767918625
TBRoF, libras, 0.7562777777777778, 0.04860581848829984
TBRoF, low-res-spect, 0.8738299663299666, 0.029720937467041728
TBRoF, lymphography, 0.7751351351351352, 0.06933105447844684
TBRoF, mammographic, 0.8145772821576763, 0.023864461511594333
TBRoF, molec-biol-promoter, 0.7795329670329672, 0.06980216133544012
TBRoF, musk-1, 0.8714285714285717, 0.02544487451716707
TBRoF, oocytes_merluccius_nucleus_4d, 0.831322194247349, 0.021134901304659903
TBRoF, oocytes_merluccius_states_2f, 0.9211329823758299, 0.012866634130284658
TBRoF, oocytes_trisopterus_nucleus_2f, 0.8083333333333332, 0.029987740012144073
TBRoF, oocytes_trisopterus_states_5b, 0.9314473684210521, 0.015009780777726503
TBRoF, parkinsons, 0.8935600490196077, 0.04414473458115928
TBRoF, pima, 0.7682291666666667, 0.02576538959165189
TBRoF, pittsburg-bridges-MATERIAL, 0.8053021978021977, 0.06860551894291693
TBRoF, pittsburg-bridges-REL-L, 0.6569285714285714, 0.0689374239513824
TBRoF, pittsburg-bridges-SPAN, 0.6478260869565218, 0.10917514377689
TBRoF, pittsburg-bridges-T-OR-D, 0.8656444444444447, 0.0655148575959644
TBRoF, planning, 0.7128439716312058, 0.05752795189294039
TBRoF, post-operative, 0.7110227272727273, 0.08718498768060559
TBRoF, seeds, 0.9534900284900283, 0.027705208350106637
TBRoF, statlog-australian-credit, 0.6784883720930234, 0.03892040204721194
TBRoF, statlog-german-credit, 0.7575999999999999, 0.0256092088700016
TBRoF, statlog-heart, 0.8289746917585983, 0.042595090023633556
TBRoF, statlog-image, 0.9615544640104406, 0.008699636358413849
TBRoF, statlog-vehicle, 0.8051545290701557, 0.02813895748743846
TBRoF, synthetic-control, 0.9816666666666667, 0.012955163345552294
TBRoF, tic-tac-toe, 0.983303703189291, 0.008126990928514651
TBRoF, vertebral-column-2clases, 0.8501578168666777, 0.03368363428991826
TBRoF, wine, 0.9910573122529645, 0.013443915807807105
TBRoF, zoo, 0.9566153846153845, 0.04584946867346845
Wodt, balance-scale, 0.92128, 0.031368162203100125
Wodt, balloons, 0.6849999999999998, 0.23879907872519107
Wodt, breast-cancer-wisc-diag, 0.9662598975314391, 0.012701511719760309
Wodt, breast-cancer-wisc-prog, 0.7116025641025641, 0.054983897290113326
Wodt, breast-cancer-wisc, 0.9440647482014388, 0.01756316459913997
Wodt, breast-cancer, 0.6632486388384754, 0.04925109121345335
Wodt, cardiotocography-10clases, 0.7796334714167358, 0.01966283976162998
Wodt, cardiotocography-3clases, 0.9014120961060482, 0.016029994123889068
Wodt, conn-bench-sonar-mines-rocks, 0.8081997677119628, 0.0498734154479995
Wodt, cylinder-bands, 0.7025452122596612, 0.03710659493721448
Wodt, dermatology, 0.9641873380229546, 0.016641323865204168
Wodt, echocardiogram, 0.746980056980057, 0.08724923657104314
Wodt, fertility, 0.804, 0.06770524351924304
Wodt, haberman-survival, 0.6702379693283977, 0.05088784373091166
Wodt, heart-hungarian, 0.761928696668615, 0.052100433118643194
Wodt, hepatitis, 0.7748387096774192, 0.09558190259697842
Wodt, ilpd-indian-liver, 0.6778588269967581, 0.035631066332769044
Wodt, ionosphere, 0.8794607645875252, 0.03858080219956032
Wodt, iris, 0.9466666666666668, 0.036514837167011066
Wodt, led-display, 0.7047, 0.02916179006851258
Wodt, libras, 0.7855555555555556, 0.05031996388544112
Wodt, low-res-spect, 0.855533415623347, 0.03222774975371431
Wodt, lymphography, 0.7800459770114943, 0.07599005574288029
Wodt, mammographic, 0.7579566062176167, 0.024906146679797566
Wodt, molec-biol-promoter, 0.7912987012987013, 0.08633959022510546
Wodt, musk-1, 0.8411776315789474, 0.03449014306500045
Wodt, oocytes_merluccius_nucleus_4d, 0.74041893830703, 0.028693112692103676
Wodt, oocytes_merluccius_states_2f, 0.902934481109517, 0.022147306742109327
Wodt, oocytes_trisopterus_nucleus_2f, 0.7491436978322225, 0.03602040782195508
Wodt, oocytes_trisopterus_states_5b, 0.8916705698672911, 0.020702811014803944
Wodt, parkinsons, 0.9005128205128206, 0.05144589211891057
Wodt, pima, 0.6881622952211188, 0.035111562938444044
Wodt, pittsburg-bridges-MATERIAL, 0.8118614718614716, 0.08062163607707493
Wodt, pittsburg-bridges-REL-L, 0.6259047619047619, 0.10926121729800642
Wodt, pittsburg-bridges-SPAN, 0.5871929824561403, 0.11611933933595711
Wodt, pittsburg-bridges-T-OR-D, 0.8375238095238096, 0.07413072965623015
Wodt, planning, 0.5784384384384385, 0.08440752357130758
Wodt, post-operative, 0.5566666666666666, 0.10627822791331752
Wodt, seeds, 0.9323809523809523, 0.04161152814276852
Wodt, statlog-australian-credit, 0.5617391304347826, 0.03785467296768582
Wodt, statlog-german-credit, 0.6850999999999999, 0.02579709285946769
Wodt, statlog-heart, 0.78, 0.061154866490519384
Wodt, statlog-image, 0.9548917748917749, 0.011022906583856079
Wodt, statlog-vehicle, 0.7296756004176818, 0.03014045315193517
Wodt, synthetic-control, 0.9785, 0.01453826368969525
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
SVC, breast-cancer-wisc-prog, 0.7938589743589745, 0.05657320433780183
SVC, breast-cancer-wisc, 0.9679527235354572, 0.011995201821390402
SVC, breast-cancer, 0.7317543859649124, 0.04356606121838112
SVC, cardiotocography-10clases, 0.8201826014913007, 0.022919732876958584
SVC, cardiotocography-3clases, 0.9112899199116268, 0.012401790692530392
SVC, conn-bench-sonar-mines-rocks, 0.8320905923344947, 0.06095204566527709
SVC, cylinder-bands, 0.7476127926898914, 0.04110007272505122
SVC, dermatology, 0.972373195112921, 0.015862520651510115
SVC, echocardiogram, 0.8252991452991455, 0.07337261558656372
SVC, fertility, 0.88, 0.0547722557505166
SVC, haberman-survival, 0.7317133791644632, 0.045381650232207534
SVC, heart-hungarian, 0.8234482758620689, 0.048867109055436626
SVC, hepatitis, 0.8251612903225807, 0.07040539663356832
SVC, ilpd-indian-liver, 0.7133952254641912, 0.03827755623741007
SVC, ionosphere, 0.9532756539235413, 0.02385368651558141
SVC, iris, 0.966, 0.032991581417756315
SVC, led-display, 0.7204, 0.02523568901377571
SVC, libras, 0.7847222222222221, 0.051012132422797105
SVC, low-res-spect, 0.9016769529183564, 0.03269429070378195
SVC, lymphography, 0.8471494252873564, 0.05938135729224899
SVC, mammographic, 0.8267465457685665, 0.022926835290767923
SVC, molec-biol-promoter, 0.827142857142857, 0.09431966640910128
SVC, musk-1, 0.9163881578947368, 0.027520787090975468
SVC, oocytes_merluccius_nucleus_4d, 0.8403060736489717, 0.023610853521046887
SVC, oocytes_merluccius_states_2f, 0.9197675753228122, 0.016293604623296522
SVC, oocytes_trisopterus_nucleus_2f, 0.7991268840449167, 0.026483084828854114
SVC, oocytes_trisopterus_states_5b, 0.9222464420825075, 0.018202901471558224
SVC, parkinsons, 0.8743589743589744, 0.04565254824298682
SVC, pima, 0.7695127748068923, 0.02622048017958126
SVC, pittsburg-bridges-MATERIAL, 0.8629004329004327, 0.06975826134555882
SVC, pittsburg-bridges-REL-L, 0.6901904761904761, 0.0893877385352908
SVC, pittsburg-bridges-SPAN, 0.7094736842105265, 0.10829259913995691
SVC, pittsburg-bridges-T-OR-D, 0.8648095238095237, 0.07364850331687892
SVC, planning, 0.7352702702702704, 0.06697755238925641
SVC, post-operative, 0.7022222222222222, 0.0751623756679456
SVC, seeds, 0.9328571428571428, 0.04059925269913093
SVC, statlog-australian-credit, 0.6782608695652174, 0.03904983647915211
SVC, statlog-german-credit, 0.7663999999999999, 0.027166891614610618
SVC, statlog-heart, 0.8303703703703706, 0.040801301789393805
SVC, statlog-image, 0.9554545454545453, 0.00732216243366479
SVC, statlog-vehicle, 0.797883745214062, 0.028612590720497322
SVC, synthetic-control, 0.9913333333333334, 0.008326663997864544
SVC, tic-tac-toe, 0.9863236256544502, 0.007669725164798296
SVC, vertebral-column-2clases, 0.8461290322580644, 0.03927146112240879
SVC, wine, 0.9807936507936508, 0.02154056565547604
SVC, zoo, 0.9366666666666668, 0.05165294968232069
BaggingWodt, balance-scale, 0.8275199999999999, 0.031805810789854096
BaggingWodt, balloons, 0.63, 0.24333333333333332
BaggingWodt, breast-cancer-wisc-diag, 0.9767955286446203, 0.012651131794984151
BaggingWodt, breast-cancer-wisc-prog, 0.8041282051282052, 0.054065511677276364
BaggingWodt, breast-cancer-wisc, 0.9688067831449128, 0.013501536929852434
BaggingWodt, breast-cancer, 0.7372958257713248, 0.05019104122389415
BaggingWodt, cardiotocography-10clases, 0.8420058547362607, 0.02038235146222122
BaggingWodt, cardiotocography-3clases, 0.9252600938967136, 0.013290240551130103
BaggingWodt, conn-bench-sonar-mines-rocks, 0.8512891986062716, 0.05425167048127118
BaggingWodt, cylinder-bands, 0.7726308775937559, 0.043323936964141746
BaggingWodt, dermatology, 0.9696445760829323, 0.0188524896065306
BaggingWodt, echocardiogram, 0.7925925925925926, 0.06690912153964222
BaggingWodt, fertility, 0.875, 0.05852349955359812
BaggingWodt, haberman-survival, 0.7340137493389741, 0.05579848014720707
BaggingWodt, heart-hungarian, 0.8210461718293396, 0.05105327558392002
BaggingWodt, hepatitis, 0.8309677419354838, 0.07456010432616086
BaggingWodt, ilpd-indian-liver, 0.7071986442676098, 0.03516496095647541
BaggingWodt, ionosphere, 0.9122696177062375, 0.03896221222978386
BaggingWodt, iris, 0.9546666666666666, 0.031098410105841596
BaggingWodt, led-display, 0.7189, 0.027116231301565492
BaggingWodt, libras, 0.8352777777777779, 0.04347998688200422
BaggingWodt, low-res-spect, 0.8926309292893672, 0.028538049916854567
BaggingWodt, lymphography, 0.8715862068965516, 0.05720076110461543
BaggingWodt, mammographic, 0.8298747841105353, 0.022169546290874684
BaggingWodt, molec-biol-promoter, 0.8264069264069264, 0.08838486909314487
BaggingWodt, musk-1, 0.8932872807017544, 0.031704400918302934
BaggingWodt, oocytes_merluccius_nucleus_4d, 0.8056791009086561, 0.019752083021678597
BaggingWodt, oocytes_merluccius_states_2f, 0.9211276901004304, 0.01605560855667252
BaggingWodt, oocytes_trisopterus_nucleus_2f, 0.812938209331652, 0.027686364424624348
BaggingWodt, oocytes_trisopterus_states_5b, 0.9255353389779618, 0.01698481765795473
BaggingWodt, parkinsons, 0.9307692307692308, 0.032936493791449035
BaggingWodt, pima, 0.7510202869026398, 0.03359040798873941
BaggingWodt, pittsburg-bridges-MATERIAL, 0.8478354978354977, 0.0664135437533315
BaggingWodt, pittsburg-bridges-REL-L, 0.6874761904761907, 0.08128337095961154
BaggingWodt, pittsburg-bridges-SPAN, 0.6784795321637428, 0.11377081388352872
BaggingWodt, pittsburg-bridges-T-OR-D, 0.8570952380952381, 0.07769860077477762
BaggingWodt, planning, 0.6827927927927929, 0.06607719671456548
BaggingWodt, post-operative, 0.6455555555555555, 0.07608474807008883
BaggingWodt, seeds, 0.9371428571428573, 0.04384056871041486
BaggingWodt, statlog-australian-credit, 0.6365217391304349, 0.03381380252080168
BaggingWodt, statlog-german-credit, 0.7661, 0.02579321616239434
BaggingWodt, statlog-heart, 0.8407407407407408, 0.04287347001033417
BaggingWodt, statlog-image, 0.9749350649350649, 0.0077450472812213905
BaggingWodt, statlog-vehicle, 0.764779672815872, 0.02887187995824511
BaggingWodt, synthetic-control, 0.9886666666666667, 0.009539392014169472
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
Cart, balance-scale, 0.7820799999999999, 0.03608203985364464
Cart, balloons, 0.6833333333333335, 0.26977356760397747
Cart, breast-cancer-wisc-diag, 0.9239217512808571, 0.02323176886368342
Cart, breast-cancer-wisc-prog, 0.6914615384615383, 0.07229069176397018
Cart, breast-cancer-wisc, 0.9433556012332991, 0.020857147642906682
Cart, breast-cancer, 0.6362613430127042, 0.05493193657305148
Cart, cardiotocography-10clases, 0.8109128969897819, 0.019011886406374308
Cart, cardiotocography-3clases, 0.9204613090306545, 0.013845817718125228
Cart, conn-bench-sonar-mines-rocks, 0.7253890824622532, 0.06929084790257113
Cart, cylinder-bands, 0.712632781267847, 0.046238358140227635
Cart, dermatology, 0.9396038504257683, 0.02387579095888003
Cart, echocardiogram, 0.7443589743589744, 0.08299708625595158
Cart, fertility, 0.7989999999999999, 0.08395832299420945
Cart, haberman-survival, 0.6404970914859863, 0.055117499856839475
Cart, heart-hungarian, 0.750613676212741, 0.04493113662535727
Cart, hepatitis, 0.7658064516129032, 0.07293747411360528
Cart, ilpd-indian-liver, 0.6639640436192161, 0.03825985300800366
Cart, ionosphere, 0.8757907444668007, 0.03797437861573896
Cart, iris, 0.9386666666666668, 0.04389887368841153
Cart, led-display, 0.7037, 0.029644729717101474
Cart, libras, 0.6549999999999998, 0.059210338603413376
Cart, low-res-spect, 0.8352036677834599, 0.030503013555880365
Cart, lymphography, 0.7683218390804598, 0.07551790968755526
Cart, mammographic, 0.7569187176165802, 0.020852411303147095
Cart, molec-biol-promoter, 0.7158008658008658, 0.08811757165025375
Cart, musk-1, 0.7768969298245614, 0.043771936691364643
Cart, oocytes_merluccius_nucleus_4d, 0.7195667144906744, 0.03068883042942922
Cart, oocytes_merluccius_states_2f, 0.8911927307508368, 0.02477313298773685
Cart, oocytes_trisopterus_nucleus_2f, 0.7257617246141836, 0.029837690053299604
Cart, oocytes_trisopterus_states_5b, 0.8702630156728517, 0.025916263242401694
Cart, parkinsons, 0.8558974358974359, 0.05822037527622443
Cart, pima, 0.7011722264663441, 0.030849394257539655
Cart, pittsburg-bridges-MATERIAL, 0.8006493506493506, 0.07641918889128255
Cart, pittsburg-bridges-REL-L, 0.6171904761904762, 0.10161093599079367
Cart, pittsburg-bridges-SPAN, 0.5575438596491228, 0.09592147935027655
Cart, pittsburg-bridges-T-OR-D, 0.8225238095238094, 0.08877499647986477
Cart, planning, 0.573963963963964, 0.07834935548163284
Cart, post-operative, 0.5822222222222222, 0.10554970744033704
Cart, seeds, 0.9161904761904762, 0.04238897730336739
Cart, statlog-australian-credit, 0.5720289855072465, 0.04059031952408632
Cart, statlog-german-credit, 0.6897, 0.02526677660486194
Cart, statlog-heart, 0.7344444444444446, 0.04693777803495507
Cart, statlog-image, 0.9613419913419914, 0.00934513626156175
Cart, statlog-vehicle, 0.706384267316394, 0.030533108686824795
Cart, synthetic-control, 0.9023333333333332, 0.02511307760244982
Cart, tic-tac-toe, 0.9522851221640489, 0.018529859619663462
Cart, vertebral-column-2clases, 0.7996774193548387, 0.04231712199258938
Cart, wine, 0.9015873015873015, 0.0526003102936011
Cart, zoo, 0.9555714285714286, 0.044427856881917915
Hedge, balance-scale, 0.9268799999999999, 0.06136308787069482
Hedge, balloons, 0.6233333333333332, 0.39234126984126966
Hedge, breast-cancer, 0.7171203871748335, 0.3616679483449606
Hedge, breast-cancer-wisc, 0.9672425488180886, 0.05157690357564579
Hedge, breast-cancer-wisc-diag, 0.9346141903431143, 0.07167217360373247
Hedge, breast-cancer-wisc-prog, 0.726897435897436, 0.30182419575091546
Hedge, cardiotocography-10clases, 0.8224853907760284, 0.04244383988028859
Hedge, cardiotocography-3clases, 0.9249283623308479, 0.0602439508982402
Hedge, conn-bench-sonar-mines-rocks, 0.7111962833914053, 0.29348159104983085
Hedge, cylinder-bands, 0.7147991623833998, 0.29943308455075124
Hedge, dermatology, 0.9518918918918922, 0.021132385529569152
Hedge, echocardiogram, 0.803732193732194, 0.23184391193739048
Hedge, fertility, 0.8759999999999999, 0.1962085382961812
Hedge, haberman-survival, 0.7156848228450555, 0.3635029471291943
Hedge, heart-hungarian, 0.7867971946230274, 0.2657725912072866
Hedge, hepatitis, 0.7625806451612901, 0.2589931331325924
Hedge, ilpd-indian-liver, 0.688022399056882, 0.37862669572022073
Hedge, ionosphere, 0.89456338028169, 0.11778274288375964
Hedge, iris, 0.9393333333333334, 0.04973986434193759
Hedge, led-display, 0.7229000000000001, 0.08588914246771266
Hedge, libras, 0.6302777777777776, 0.05165805396141651
Hedge, low-res-spect, 0.8227790513137014, 0.041615114646617435
Hedge, lymphography, 0.748183908045977, 0.13997135664246718
Hedge, mammographic, 0.8204010146804837, 0.2508836401655701
Hedge, molec-biol-promoter, 0.7337229437229437, 0.27165754676111714
Hedge, musk-1, 0.7899144736842106, 0.21840699019515383
Hedge, oocytes_merluccius_nucleus_4d, 0.733264945002391, 0.30522643614918554
Hedge, oocytes_merluccius_states_2f, 0.8992137733142032, 0.07844729159018868
Hedge, oocytes_trisopterus_nucleus_2f, 0.7316975920254607, 0.3022908829038656
Hedge, oocytes_trisopterus_states_5b, 0.8871872935807361, 0.08801089558713797
Hedge, parkinsons, 0.8446153846153851, 0.1624820395549004
Hedge, pima, 0.7442789236906883, 0.3262591809372487
Hedge, pittsburg-bridges-MATERIAL, 0.8503463203463203, 0.1423410345127055
Hedge, pittsburg-bridges-REL-L, 0.6393809523809524, 0.2928002682234352
Hedge, pittsburg-bridges-SPAN, 0.6292982456140352, 0.30123005266829067
Hedge, pittsburg-bridges-T-OR-D, 0.8336190476190474, 0.2180498486963409
Hedge, planning, 0.7144144144144144, 0.4080436981633393
Hedge, post-operative, 0.6911111111111109, 0.2864134132585191
Hedge, seeds, 0.8942857142857144, 0.07952081943896047
Hedge, statlog-australian-credit, 0.6427536231884058, 0.41046196215994185
Hedge, statlog-german-credit, 0.7159, 0.32651908108216554
Hedge, statlog-heart, 0.7948148148148146, 0.2531165005844386
Hedge, statlog-image, 0.9604761904761905, 0.012960080161368716
Hedge, statlog-vehicle, 0.7284852071005916, 0.148665983001905
Hedge, synthetic-control, 0.8980000000000001, 0.03526071746856307
Hedge, tic-tac-toe, 0.9832989746945902, 0.0324288588201445
Hedge, vertebral-column-2clases, 0.8470967741935483, 0.19925244798629155
Hedge, wine, 0.9791587301587302, 0.016852769344692316
Hedge, zoo, 0.9298571428571428, 0.022397494870964197
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, 0.9684692187804401, 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, 0.834423076923077, 0.05150748510916756
TBRRoF, cylinder-bands, 0.767890625, 0.03324347930143141
TBRRoF, dermatology, 0.9746077041238331, 0.014736301000625167
TBRRoF, echocardiogram, 0.8499598214285714, 0.05162023787508073
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, 0.714239981360671, 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, 0.8536486486486488, 0.05135724820856693
TBRRoF, mammographic, 0.8280522130013831, 0.020736800209974978
TBRRoF, molec-biol-promoter, 0.8059340659340658, 0.07345265473126247
TBRRoF, musk-1, 0.8918907563025209, 0.028415223920829437
TBRRoF, oocytes_merluccius_nucleus_4d, 0.8380727855344474, 0.021149025869688552
TBRRoF, oocytes_merluccius_states_2f, 0.9260048065918971, 0.01392436830249517
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, 0.6932608695652175, 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, 0.9474358974358972, 0.027630596849567368
TBRRoF, statlog-australian-credit, 0.6782665062817429, 0.029157752633879357
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, 0.9910666666666664, 0.00849185901074688
TBRRoF, tic-tac-toe, 0.9844217781558706, 0.008102161082608183
TBRRoF, vertebral-column-2clases, 0.8515140555646883, 0.03497531619650492
TBRRoF, wine, 0.9804743083003953, 0.020476239593149058
TBRRoF, zoo, 0.9492615384615388, 0.04884462984878655
TBRaF, balance-scale, 0.8975269475747183, 0.023461084398242734
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
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, 0.8456473214285714, 0.06257980864237837
TBRaF, fertility, 0.8804000000000003, 0.05947711861036103
TBRaF, haberman-survival, 0.7328744939271254, 0.04650268909435261
TBRaF, heart-hungarian, 0.819897716894977, 0.040808946053684174
TBRaF, hepatitis, 0.8162130937098846, 0.057721855658188784
TBRaF, ilpd-indian-liver, 0.7113035880708294, 0.03241044043427038
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, 0.827950899031812, 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, 0.8296710526315794, 0.02406624812234792
TBRaF, oocytes_trisopterus_states_5b, 0.9273903508771925, 0.016976508458830007
TBRaF, parkinsons, 0.9110845588235295, 0.03900626598564447
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, 0.7097068557919625, 0.055516738956114635
TBRaF, post-operative, 0.7067613636363635, 0.08307013468275573
TBRaF, seeds, 0.9433297720797718, 0.03028629022052037
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, 0.9759070469973432, 0.012840130632245466
TBRaF, vertebral-column-2clases, 0.8492429722176555, 0.03473914078871642
TBRaF, wine, 0.9804347826086953, 0.019004456684509077
TBRaF, zoo, 0.9336076923076927, 0.058309997782000134
1 classifier dataset accuracy stdev
2 ExtraTree balance-scale 0.7878399999999999 0.03687783073880566
3 ExtraTree balloons 0.575 0.28927591596182967
4 ExtraTree breast-cancer-wisc-diag 0.9131858407079645 0.027969722048511687
5 ExtraTree breast-cancer-wisc-prog 0.6632179487179486 0.07656410793102837
6 ExtraTree breast-cancer-wisc 0.9403360739979445 0.02165140889671454
7 ExtraTree breast-cancer 0.656908650937689 0.05914309228326181
8 ExtraTree cardiotocography-10clases 0.6989177575255454 0.030051929270415455
9 ExtraTree cardiotocography-3clases 0.8819887323943664 0.01507833257138732
10 ExtraTree conn-bench-sonar-mines-rocks 0.6956445993031357 0.07653320217222026
11 ExtraTree cylinder-bands 0.6958918713116314 0.04592870865503856
12 ExtraTree dermatology 0.8975268419104035 0.039527668904658364
13 ExtraTree echocardiogram 0.7305982905982905 0.08853188223988526
14 ExtraTree fertility 0.8059999999999999 0.06902173570694958
15 ExtraTree haberman-survival 0.6500105764145954 0.06301971546791206
16 ExtraTree heart-hungarian 0.7604909409701931 0.04869532741159298
17 ExtraTree hepatitis 0.7793548387096775 0.07805118521205993
18 ExtraTree ilpd-indian-liver 0.6634232242852933 0.03869963692900845
19 ExtraTree ionosphere 0.8540885311871226 0.04332727262995767
20 ExtraTree iris 0.9333333333333335 0.044221663871405324
21 ExtraTree led-display 0.7036999999999999 0.02880642289490313
22 ExtraTree libras 0.6022222222222223 0.05851558829982036
23 ExtraTree low-res-spect 0.8043255157820492 0.03860708555393554
24 ExtraTree lymphography 0.7288505747126437 0.07209829097764534
25 ExtraTree mammographic 0.7595207253886009 0.027055981087449776
26 ExtraTree molec-biol-promoter 0.6611255411255411 0.09268635844993099
27 ExtraTree musk-1 0.7796030701754388 0.043688902783382194
28 ExtraTree oocytes_merluccius_nucleus_4d 0.6907929220468675 0.025573299489788766
29 ExtraTree oocytes_merluccius_states_2f 0.8678149210903873 0.01875101003253329
30 ExtraTree oocytes_trisopterus_nucleus_2f 0.6820134510298443 0.035675489219353006
31 ExtraTree oocytes_trisopterus_states_5b 0.8403422806701495 0.02618600526924095
32 ExtraTree parkinsons 0.8482051282051282 0.06020783639564789
33 ExtraTree pima 0.6649944826415415 0.03466246243736563
34 ExtraTree pittsburg-bridges-MATERIAL 0.7835930735930735 0.07970952540707685
35 ExtraTree pittsburg-bridges-REL-L 0.6253333333333333 0.10873604896570042
36 ExtraTree pittsburg-bridges-SPAN 0.5715204678362573 0.12252433352049193
37 ExtraTree pittsburg-bridges-T-OR-D 0.8365714285714287 0.08634786997098468
38 ExtraTree planning 0.5972672672672672 0.08066489784697915
39 ExtraTree post-operative 0.5733333333333334 0.10566660824861103
40 ExtraTree seeds 0.8838095238095236 0.04354995567685211
41 ExtraTree statlog-australian-credit 0.5704347826086956 0.041879795179494514
42 ExtraTree statlog-german-credit 0.6663999999999999 0.030692670134740637
43 ExtraTree statlog-heart 0.7507407407407407 0.04860326215293292
44 ExtraTree statlog-image 0.928917748917749 0.011578447915777758
45 ExtraTree statlog-vehicle 0.6626481030281935 0.029721786236711036
46 ExtraTree synthetic-control 0.8525 0.03449033681095813
47 ExtraTree tic-tac-toe 0.8658529668411867 0.030146489305175026
48 ExtraTree vertebral-column-2clases 0.747741935483871 0.06311049392365933
49 ExtraTree wine 0.8719999999999999 0.06055135103670992
50 ExtraTree zoo 0.9346666666666665 0.06150449350322653
51 STree balance-scale 0.97056 0.015046806970251203
52 STree balloons 0.86 0.28501461950807594
53 STree breast-cancer-wisc-diag 0.9727635460332246 0.017313211324042233
54 STree breast-cancer-wisc-prog 0.811128205128205 0.05846009894763935
55 STree breast-cancer-wisc 0.967808838643371 0.012084225264206064
56 STree breast-cancer 0.7342105263157894 0.047977358056609264
57 STree cardiotocography-10clases 0.8094129798398231 0.023346080031830214
58 STree cardiotocography-3clases 0.904047500690417 0.015332156149647586
59 STree conn-bench-sonar-mines-rocks 0.8320905923344947 0.06095204566527709
60 STree cylinder-bands 0.7476127926898914 0.04110007272505122
61 STree dermatology 0.9729211403184006 0.019813499795909784
62 STree echocardiogram 0.855156695156695 0.06266151037590971
63 STree fertility 0.88 0.0547722557505166
64 STree haberman-survival 0.735637228979376 0.04346136548997221
65 STree heart-hungarian 0.8275219170075979 0.05052827428335672
66 STree hepatitis 0.8245161290322581 0.073887165430815
67 STree ilpd-indian-liver 0.7234983790156204 0.038488555090414656
68 STree ionosphere 0.9532756539235413 0.02385368651558141
69 STree iris 0.966 0.032991581417756315
70 STree led-display 0.7030000000000001 0.029120439557122058
71 STree libras 0.7886111111111112 0.05169130237032862
72 STree low-res-spect 0.8975365896667254 0.03121679591619338
73 STree lymphography 0.8350344827586206 0.05906491141171708
74 STree mammographic 0.8267465457685665 0.022926835290767923
75 STree molec-biol-promoter 0.827142857142857 0.09431966640910128
76 STree musk-1 0.9163881578947368 0.027520787090975468
77 STree oocytes_merluccius_nucleus_4d 0.8351252989000477 0.02209607725442717
78 STree oocytes_merluccius_states_2f 0.9179062649450025 0.016316580296653664
79 STree oocytes_trisopterus_nucleus_2f 0.8009860085269921 0.0218449453461112
80 STree oocytes_trisopterus_states_5b 0.9224704257491143 0.01772207930954525
81 STree parkinsons 0.882051282051282 0.04783271309276316
82 STree pima 0.7692530345471521 0.02618732989053553
83 STree pittsburg-bridges-MATERIAL 0.8677489177489177 0.07122264688853039
84 STree pittsburg-bridges-REL-L 0.6672857142857144 0.09562399199889633
85 STree pittsburg-bridges-SPAN 0.6794736842105265 0.10621707149419587
86 STree pittsburg-bridges-T-OR-D 0.8628095238095238 0.0747571882042698
87 STree planning 0.7352702702702704 0.06697755238925641
88 STree post-operative 0.711111111111111 0.07535922203472521
89 STree seeds 0.9528571428571427 0.0279658035429067
90 STree statlog-australian-credit 0.6782608695652174 0.03904983647915211
91 STree statlog-german-credit 0.7644 0.028803472012936236
92 STree statlog-heart 0.8229629629629629 0.044003990341567836
93 STree statlog-image 0.9559307359307361 0.00956073126474503
94 STree statlog-vehicle 0.7930281935259312 0.03010396812322711
95 STree synthetic-control 0.9833333333333334 0.01092906420717001
96 STree tic-tac-toe 0.9844442626527051 0.008387465200358178
97 STree vertebral-column-2clases 0.8529032258064515 0.04088510843291576
98 STree wine 0.9791587301587302 0.022426953738041516
99 STree zoo 0.9575238095238094 0.04546150348723332
100 ODTE balance-scale 0.97376 0.019001642034308507
101 ODTE balloons 0.7583333333333333 0.2785129161178067
102 ODTE breast-cancer-wisc-diag 0.9739931687626143 0.016554866765950735
103 ODTE breast-cancer-wisc-prog 0.810102564102564 0.06056448251036948
104 ODTE breast-cancer-wisc 0.971956834532374 0.01262594441445573
105 ODTE breast-cancer 0.7433877797943134 0.04272794739105822
106 ODTE cardiotocography-10clases 0.8377754211543773 0.020035258312140675
107 ODTE cardiotocography-3clases 0.9158537420602043 0.013571959275117652
108 ODTE conn-bench-sonar-mines-rocks 0.8431475029036002 0.052081786915494255
109 ODTE cylinder-bands 0.7673272415762422 0.041472855015354505
110 ODTE dermatology 0.9805997778600516 0.012861009889409938
111 ODTE echocardiogram 0.855156695156695 0.06266151037590971
112 ODTE fertility 0.88 0.0547722557505166
113 ODTE haberman-survival 0.7408778424114226 0.05131929321866528
114 ODTE heart-hungarian 0.8299123319696085 0.05556757760909393
115 ODTE hepatitis 0.8283870967741936 0.07109665710428856
116 ODTE ilpd-indian-liver 0.7272885352195698 0.039873431660598986
117 ODTE ionosphere 0.9504346076458754 0.023708279806973313
118 ODTE iris 0.964 0.03255081497528987
119 ODTE led-display 0.7186 0.02703775138579389
120 ODTE libras 0.8625 0.047079031268550814
121 ODTE low-res-spect 0.9093969317580672 0.035428439542986974
122 ODTE lymphography 0.8410574712643678 0.05833785272114171
123 ODTE mammographic 0.8288347366148531 0.022955531218077037
124 ODTE molec-biol-promoter 0.8656709956709955 0.0973712407439469
125 ODTE musk-1 0.9124013157894737 0.02990026230299551
126 ODTE oocytes_merluccius_nucleus_4d 0.8443271162123385 0.026958181251392942
127 ODTE oocytes_merluccius_states_2f 0.9230946915351506 0.015908353110954166
128 ODTE oocytes_trisopterus_nucleus_2f 0.8154464661022038 0.022327974942331383
129 ODTE oocytes_trisopterus_states_5b 0.9267387257551191 0.01807476944375977
130 ODTE parkinsons 0.9066666666666667 0.04522134909753559
131 ODTE pima 0.7728910958322721 0.02900120258111359
132 ODTE pittsburg-bridges-MATERIAL 0.8677489177489177 0.06934417716014449
133 ODTE pittsburg-bridges-REL-L 0.6966190476190477 0.099521633605742
134 ODTE pittsburg-bridges-SPAN 0.6937426900584795 0.10948613227073402
135 ODTE pittsburg-bridges-T-OR-D 0.8664761904761904 0.07649172587269897
136 ODTE planning 0.7352702702702704 0.06697755238925641
137 ODTE post-operative 0.711111111111111 0.07535922203472521
138 ODTE seeds 0.9571428571428572 0.027355060221609648
139 ODTE statlog-australian-credit 0.6782608695652174 0.03904983647915211
140 ODTE statlog-german-credit 0.7576 0.029227384419410526
141 ODTE statlog-heart 0.8381481481481482 0.046379185057354784
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 0.9871591404886563 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
149 TBRoF balance-scale 0.7826380042462844 0.18925694969056328
150 TBRoF balloons 0.61125 0.247725203364352
151 TBRoF breast-cancer-wisc-diag 0.973283758495026 0.013244810623357882
152 TBRoF breast-cancer-wisc-prog 0.7978151260504203 0.05694766463433709
153 TBRoF breast-cancer-wisc 0.9627849210987725 0.012721293409234216
154 TBRoF breast-cancer 0.7308990931892726 0.055966571642361095
155 TBRoF cardiotocography-10clases 0.7833492331011966 0.021307069831893954
156 TBRoF cardiotocography-3clases 0.895985255615268 0.012308158973203483
157 TBRoF conn-bench-sonar-mines-rocks 0.7877884615384616 0.04851951284665777
158 TBRoF cylinder-bands 0.7170703125 0.035382373191454965
159 TBRoF dermatology 0.9742673992673991 0.015317005568040842
160 TBRoF echocardiogram 0.8331428571428572 0.05716070028311154
161 TBRoF fertility 0.8800000000000006 0.05570922354457741
162 TBRoF haberman-survival 0.7412618083670716 0.03733056862694105
163 TBRoF heart-hungarian 0.814958904109589 0.03136114741864325
164 TBRoF hepatitis 0.8127086007702183 0.05401110717213335
165 TBRoF ilpd-indian-liver 0.7232548928238585 0.02812722020593907
166 TBRoF ionosphere 0.907727969348659 0.03151367661074491
167 TBRoF iris 0.9774601524601525 0.022227864533454735
168 TBRoF led-display 0.7098000000000001 0.026706198767918625
169 TBRoF libras 0.7562777777777778 0.04860581848829984
170 TBRoF low-res-spect 0.8738299663299666 0.029720937467041728
171 TBRoF lymphography 0.7751351351351352 0.06933105447844684
172 TBRoF mammographic 0.8145772821576763 0.023864461511594333
173 TBRoF molec-biol-promoter 0.7795329670329672 0.06980216133544012
174 TBRoF musk-1 0.8714285714285717 0.02544487451716707
175 TBRoF oocytes_merluccius_nucleus_4d 0.831322194247349 0.021134901304659903
176 TBRoF oocytes_merluccius_states_2f 0.9211329823758299 0.012866634130284658
177 TBRoF oocytes_trisopterus_nucleus_2f 0.8083333333333332 0.029987740012144073
178 TBRoF oocytes_trisopterus_states_5b 0.9314473684210521 0.015009780777726503
179 TBRoF parkinsons 0.8935600490196077 0.04414473458115928
180 TBRoF pima 0.7682291666666667 0.02576538959165189
181 TBRoF pittsburg-bridges-MATERIAL 0.8053021978021977 0.06860551894291693
182 TBRoF pittsburg-bridges-REL-L 0.6569285714285714 0.0689374239513824
183 TBRoF pittsburg-bridges-SPAN 0.6478260869565218 0.10917514377689
184 TBRoF pittsburg-bridges-T-OR-D 0.8656444444444447 0.0655148575959644
185 TBRoF planning 0.7128439716312058 0.05752795189294039
186 TBRoF post-operative 0.7110227272727273 0.08718498768060559
187 TBRoF seeds 0.9534900284900283 0.027705208350106637
188 TBRoF statlog-australian-credit 0.6784883720930234 0.03892040204721194
189 TBRoF statlog-german-credit 0.7575999999999999 0.0256092088700016
190 TBRoF statlog-heart 0.8289746917585983 0.042595090023633556
191 TBRoF statlog-image 0.9615544640104406 0.008699636358413849
192 TBRoF statlog-vehicle 0.8051545290701557 0.02813895748743846
193 TBRoF synthetic-control 0.9816666666666667 0.012955163345552294
194 TBRoF tic-tac-toe 0.983303703189291 0.008126990928514651
195 TBRoF vertebral-column-2clases 0.8501578168666777 0.03368363428991826
196 TBRoF wine 0.9910573122529645 0.013443915807807105
197 TBRoF zoo 0.9566153846153845 0.04584946867346845
198 Wodt balance-scale 0.92128 0.031368162203100125
199 Wodt balloons 0.6849999999999998 0.23879907872519107
200 Wodt breast-cancer-wisc-diag 0.9662598975314391 0.012701511719760309
201 Wodt breast-cancer-wisc-prog 0.7116025641025641 0.054983897290113326
202 Wodt breast-cancer-wisc 0.9440647482014388 0.01756316459913997
203 Wodt breast-cancer 0.6632486388384754 0.04925109121345335
204 Wodt cardiotocography-10clases 0.7796334714167358 0.01966283976162998
205 Wodt cardiotocography-3clases 0.9014120961060482 0.016029994123889068
206 Wodt conn-bench-sonar-mines-rocks 0.8081997677119628 0.0498734154479995
207 Wodt cylinder-bands 0.7025452122596612 0.03710659493721448
208 Wodt dermatology 0.9641873380229546 0.016641323865204168
209 Wodt echocardiogram 0.746980056980057 0.08724923657104314
210 Wodt fertility 0.804 0.06770524351924304
211 Wodt haberman-survival 0.6702379693283977 0.05088784373091166
212 Wodt heart-hungarian 0.761928696668615 0.052100433118643194
213 Wodt hepatitis 0.7748387096774192 0.09558190259697842
214 Wodt ilpd-indian-liver 0.6778588269967581 0.035631066332769044
215 Wodt ionosphere 0.8794607645875252 0.03858080219956032
216 Wodt iris 0.9466666666666668 0.036514837167011066
217 Wodt led-display 0.7047 0.02916179006851258
218 Wodt libras 0.7855555555555556 0.05031996388544112
219 Wodt low-res-spect 0.855533415623347 0.03222774975371431
220 Wodt lymphography 0.7800459770114943 0.07599005574288029
221 Wodt mammographic 0.7579566062176167 0.024906146679797566
222 Wodt molec-biol-promoter 0.7912987012987013 0.08633959022510546
223 Wodt musk-1 0.8411776315789474 0.03449014306500045
224 Wodt oocytes_merluccius_nucleus_4d 0.74041893830703 0.028693112692103676
225 Wodt oocytes_merluccius_states_2f 0.902934481109517 0.022147306742109327
226 Wodt oocytes_trisopterus_nucleus_2f 0.7491436978322225 0.03602040782195508
227 Wodt oocytes_trisopterus_states_5b 0.8916705698672911 0.020702811014803944
228 Wodt parkinsons 0.9005128205128206 0.05144589211891057
229 Wodt pima 0.6881622952211188 0.035111562938444044
230 Wodt pittsburg-bridges-MATERIAL 0.8118614718614716 0.08062163607707493
231 Wodt pittsburg-bridges-REL-L 0.6259047619047619 0.10926121729800642
232 Wodt pittsburg-bridges-SPAN 0.5871929824561403 0.11611933933595711
233 Wodt pittsburg-bridges-T-OR-D 0.8375238095238096 0.07413072965623015
234 Wodt planning 0.5784384384384385 0.08440752357130758
235 Wodt post-operative 0.5566666666666666 0.10627822791331752
236 Wodt seeds 0.9323809523809523 0.04161152814276852
237 Wodt statlog-australian-credit 0.5617391304347826 0.03785467296768582
238 Wodt statlog-german-credit 0.6850999999999999 0.02579709285946769
239 Wodt statlog-heart 0.78 0.061154866490519384
240 Wodt statlog-image 0.9548917748917749 0.011022906583856079
241 Wodt statlog-vehicle 0.7296756004176818 0.03014045315193517
242 Wodt synthetic-control 0.9785 0.01453826368969525
243 Wodt tic-tac-toe 0.9449798211169285 0.029347280139619656
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
348 SVC breast-cancer-wisc-prog 0.7938589743589745 0.05657320433780183
349 SVC breast-cancer-wisc 0.9679527235354572 0.011995201821390402
350 SVC breast-cancer 0.7317543859649124 0.04356606121838112
351 SVC cardiotocography-10clases 0.8201826014913007 0.022919732876958584
352 SVC cardiotocography-3clases 0.9112899199116268 0.012401790692530392
353 SVC conn-bench-sonar-mines-rocks 0.8320905923344947 0.06095204566527709
354 SVC cylinder-bands 0.7476127926898914 0.04110007272505122
355 SVC dermatology 0.972373195112921 0.015862520651510115
356 SVC echocardiogram 0.8252991452991455 0.07337261558656372
357 SVC fertility 0.88 0.0547722557505166
358 SVC haberman-survival 0.7317133791644632 0.045381650232207534
359 SVC heart-hungarian 0.8234482758620689 0.048867109055436626
360 SVC hepatitis 0.8251612903225807 0.07040539663356832
361 SVC ilpd-indian-liver 0.7133952254641912 0.03827755623741007
362 SVC ionosphere 0.9532756539235413 0.02385368651558141
363 SVC iris 0.966 0.032991581417756315
364 SVC led-display 0.7204 0.02523568901377571
365 SVC libras 0.7847222222222221 0.051012132422797105
366 SVC low-res-spect 0.9016769529183564 0.03269429070378195
367 SVC lymphography 0.8471494252873564 0.05938135729224899
368 SVC mammographic 0.8267465457685665 0.022926835290767923
369 SVC molec-biol-promoter 0.827142857142857 0.09431966640910128
370 SVC musk-1 0.9163881578947368 0.027520787090975468
371 SVC oocytes_merluccius_nucleus_4d 0.8403060736489717 0.023610853521046887
372 SVC oocytes_merluccius_states_2f 0.9197675753228122 0.016293604623296522
373 SVC oocytes_trisopterus_nucleus_2f 0.7991268840449167 0.026483084828854114
374 SVC oocytes_trisopterus_states_5b 0.9222464420825075 0.018202901471558224
375 SVC parkinsons 0.8743589743589744 0.04565254824298682
376 SVC pima 0.7695127748068923 0.02622048017958126
377 SVC pittsburg-bridges-MATERIAL 0.8629004329004327 0.06975826134555882
378 SVC pittsburg-bridges-REL-L 0.6901904761904761 0.0893877385352908
379 SVC pittsburg-bridges-SPAN 0.7094736842105265 0.10829259913995691
380 SVC pittsburg-bridges-T-OR-D 0.8648095238095237 0.07364850331687892
381 SVC planning 0.7352702702702704 0.06697755238925641
382 SVC post-operative 0.7022222222222222 0.0751623756679456
383 SVC seeds 0.9328571428571428 0.04059925269913093
384 SVC statlog-australian-credit 0.6782608695652174 0.03904983647915211
385 SVC statlog-german-credit 0.7663999999999999 0.027166891614610618
386 SVC statlog-heart 0.8303703703703706 0.040801301789393805
387 SVC statlog-image 0.9554545454545453 0.00732216243366479
388 SVC statlog-vehicle 0.797883745214062 0.028612590720497322
389 SVC synthetic-control 0.9913333333333334 0.008326663997864544
390 SVC tic-tac-toe 0.9863236256544502 0.007669725164798296
391 SVC vertebral-column-2clases 0.8461290322580644 0.03927146112240879
392 SVC wine 0.9807936507936508 0.02154056565547604
393 SVC zoo 0.9366666666666668 0.05165294968232069
394 BaggingWodt balance-scale 0.8275199999999999 0.031805810789854096
395 BaggingWodt balloons 0.63 0.24333333333333332
396 BaggingWodt breast-cancer-wisc-diag 0.9767955286446203 0.012651131794984151
397 BaggingWodt breast-cancer-wisc-prog 0.8041282051282052 0.054065511677276364
398 BaggingWodt breast-cancer-wisc 0.9688067831449128 0.013501536929852434
399 BaggingWodt breast-cancer 0.7372958257713248 0.05019104122389415
400 BaggingWodt cardiotocography-10clases 0.8420058547362607 0.02038235146222122
401 BaggingWodt cardiotocography-3clases 0.9252600938967136 0.013290240551130103
402 BaggingWodt conn-bench-sonar-mines-rocks 0.8512891986062716 0.05425167048127118
403 BaggingWodt cylinder-bands 0.7726308775937559 0.043323936964141746
404 BaggingWodt dermatology 0.9696445760829323 0.0188524896065306
405 BaggingWodt echocardiogram 0.7925925925925926 0.06690912153964222
406 BaggingWodt fertility 0.875 0.05852349955359812
407 BaggingWodt haberman-survival 0.7340137493389741 0.05579848014720707
408 BaggingWodt heart-hungarian 0.8210461718293396 0.05105327558392002
409 BaggingWodt hepatitis 0.8309677419354838 0.07456010432616086
410 BaggingWodt ilpd-indian-liver 0.7071986442676098 0.03516496095647541
411 BaggingWodt ionosphere 0.9122696177062375 0.03896221222978386
412 BaggingWodt iris 0.9546666666666666 0.031098410105841596
413 BaggingWodt led-display 0.7189 0.027116231301565492
414 BaggingWodt libras 0.8352777777777779 0.04347998688200422
415 BaggingWodt low-res-spect 0.8926309292893672 0.028538049916854567
416 BaggingWodt lymphography 0.8715862068965516 0.05720076110461543
417 BaggingWodt mammographic 0.8298747841105353 0.022169546290874684
418 BaggingWodt molec-biol-promoter 0.8264069264069264 0.08838486909314487
419 BaggingWodt musk-1 0.8932872807017544 0.031704400918302934
420 BaggingWodt oocytes_merluccius_nucleus_4d 0.8056791009086561 0.019752083021678597
421 BaggingWodt oocytes_merluccius_states_2f 0.9211276901004304 0.01605560855667252
422 BaggingWodt oocytes_trisopterus_nucleus_2f 0.812938209331652 0.027686364424624348
423 BaggingWodt oocytes_trisopterus_states_5b 0.9255353389779618 0.01698481765795473
424 BaggingWodt parkinsons 0.9307692307692308 0.032936493791449035
425 BaggingWodt pima 0.7510202869026398 0.03359040798873941
426 BaggingWodt pittsburg-bridges-MATERIAL 0.8478354978354977 0.0664135437533315
427 BaggingWodt pittsburg-bridges-REL-L 0.6874761904761907 0.08128337095961154
428 BaggingWodt pittsburg-bridges-SPAN 0.6784795321637428 0.11377081388352872
429 BaggingWodt pittsburg-bridges-T-OR-D 0.8570952380952381 0.07769860077477762
430 BaggingWodt planning 0.6827927927927929 0.06607719671456548
431 BaggingWodt post-operative 0.6455555555555555 0.07608474807008883
432 BaggingWodt seeds 0.9371428571428573 0.04384056871041486
433 BaggingWodt statlog-australian-credit 0.6365217391304349 0.03381380252080168
434 BaggingWodt statlog-german-credit 0.7661 0.02579321616239434
435 BaggingWodt statlog-heart 0.8407407407407408 0.04287347001033417
436 BaggingWodt statlog-image 0.9749350649350649 0.0077450472812213905
437 BaggingWodt statlog-vehicle 0.764779672815872 0.02887187995824511
438 BaggingWodt synthetic-control 0.9886666666666667 0.009539392014169472
439 BaggingWodt tic-tac-toe 0.9527105148342061 0.020956068837478
440 BaggingWodt vertebral-column-2clases 0.8429032258064517 0.04325588746295833
441 BaggingWodt wine 0.9831111111111112 0.020289564182456803
442 BaggingWodt zoo 0.9574761904761906 0.038427155222620905
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
446 Cart breast-cancer-wisc-prog 0.6914615384615383 0.07229069176397018
447 Cart breast-cancer-wisc 0.9433556012332991 0.020857147642906682
448 Cart breast-cancer 0.6362613430127042 0.05493193657305148
449 Cart cardiotocography-10clases 0.8109128969897819 0.019011886406374308
450 Cart cardiotocography-3clases 0.9204613090306545 0.013845817718125228
451 Cart conn-bench-sonar-mines-rocks 0.7253890824622532 0.06929084790257113
452 Cart cylinder-bands 0.712632781267847 0.046238358140227635
453 Cart dermatology 0.9396038504257683 0.02387579095888003
454 Cart echocardiogram 0.7443589743589744 0.08299708625595158
455 Cart fertility 0.7989999999999999 0.08395832299420945
456 Cart haberman-survival 0.6404970914859863 0.055117499856839475
457 Cart heart-hungarian 0.750613676212741 0.04493113662535727
458 Cart hepatitis 0.7658064516129032 0.07293747411360528
459 Cart ilpd-indian-liver 0.6639640436192161 0.03825985300800366
460 Cart ionosphere 0.8757907444668007 0.03797437861573896
461 Cart iris 0.9386666666666668 0.04389887368841153
462 Cart led-display 0.7037 0.029644729717101474
463 Cart libras 0.6549999999999998 0.059210338603413376
464 Cart low-res-spect 0.8352036677834599 0.030503013555880365
465 Cart lymphography 0.7683218390804598 0.07551790968755526
466 Cart mammographic 0.7569187176165802 0.020852411303147095
467 Cart molec-biol-promoter 0.7158008658008658 0.08811757165025375
468 Cart musk-1 0.7768969298245614 0.043771936691364643
469 Cart oocytes_merluccius_nucleus_4d 0.7195667144906744 0.03068883042942922
470 Cart oocytes_merluccius_states_2f 0.8911927307508368 0.02477313298773685
471 Cart oocytes_trisopterus_nucleus_2f 0.7257617246141836 0.029837690053299604
472 Cart oocytes_trisopterus_states_5b 0.8702630156728517 0.025916263242401694
473 Cart parkinsons 0.8558974358974359 0.05822037527622443
474 Cart pima 0.7011722264663441 0.030849394257539655
475 Cart pittsburg-bridges-MATERIAL 0.8006493506493506 0.07641918889128255
476 Cart pittsburg-bridges-REL-L 0.6171904761904762 0.10161093599079367
477 Cart pittsburg-bridges-SPAN 0.5575438596491228 0.09592147935027655
478 Cart pittsburg-bridges-T-OR-D 0.8225238095238094 0.08877499647986477
479 Cart planning 0.573963963963964 0.07834935548163284
480 Cart post-operative 0.5822222222222222 0.10554970744033704
481 Cart seeds 0.9161904761904762 0.04238897730336739
482 Cart statlog-australian-credit 0.5720289855072465 0.04059031952408632
483 Cart statlog-german-credit 0.6897 0.02526677660486194
484 Cart statlog-heart 0.7344444444444446 0.04693777803495507
485 Cart statlog-image 0.9613419913419914 0.00934513626156175
486 Cart statlog-vehicle 0.706384267316394 0.030533108686824795
487 Cart synthetic-control 0.9023333333333332 0.02511307760244982
488 Cart tic-tac-toe 0.9522851221640489 0.018529859619663462
489 Cart vertebral-column-2clases 0.7996774193548387 0.04231712199258938
490 Cart wine 0.9015873015873015 0.0526003102936011
491 Cart zoo 0.9555714285714286 0.044427856881917915
492 Hedge balance-scale 0.9268799999999999 0.06136308787069482
493 Hedge balloons 0.6233333333333332 0.39234126984126966
494 Hedge breast-cancer 0.7171203871748335 0.3616679483449606
495 Hedge breast-cancer-wisc 0.9672425488180886 0.05157690357564579
496 Hedge breast-cancer-wisc-diag 0.9346141903431143 0.07167217360373247
497 Hedge breast-cancer-wisc-prog 0.726897435897436 0.30182419575091546
498 Hedge cardiotocography-10clases 0.8224853907760284 0.04244383988028859
499 Hedge cardiotocography-3clases 0.9249283623308479 0.0602439508982402
500 Hedge conn-bench-sonar-mines-rocks 0.7111962833914053 0.29348159104983085
501 Hedge cylinder-bands 0.7147991623833998 0.29943308455075124
502 Hedge dermatology 0.9518918918918922 0.021132385529569152
503 Hedge echocardiogram 0.803732193732194 0.23184391193739048
504 Hedge fertility 0.8759999999999999 0.1962085382961812
505 Hedge haberman-survival 0.7156848228450555 0.3635029471291943
506 Hedge heart-hungarian 0.7867971946230274 0.2657725912072866
507 Hedge hepatitis 0.7625806451612901 0.2589931331325924
508 Hedge ilpd-indian-liver 0.688022399056882 0.37862669572022073
509 Hedge ionosphere 0.89456338028169 0.11778274288375964
510 Hedge iris 0.9393333333333334 0.04973986434193759
511 Hedge led-display 0.7229000000000001 0.08588914246771266
512 Hedge libras 0.6302777777777776 0.05165805396141651
513 Hedge low-res-spect 0.8227790513137014 0.041615114646617435
514 Hedge lymphography 0.748183908045977 0.13997135664246718
515 Hedge mammographic 0.8204010146804837 0.2508836401655701
516 Hedge molec-biol-promoter 0.7337229437229437 0.27165754676111714
517 Hedge musk-1 0.7899144736842106 0.21840699019515383
518 Hedge oocytes_merluccius_nucleus_4d 0.733264945002391 0.30522643614918554
519 Hedge oocytes_merluccius_states_2f 0.8992137733142032 0.07844729159018868
520 Hedge oocytes_trisopterus_nucleus_2f 0.7316975920254607 0.3022908829038656
521 Hedge oocytes_trisopterus_states_5b 0.8871872935807361 0.08801089558713797
522 Hedge parkinsons 0.8446153846153851 0.1624820395549004
523 Hedge pima 0.7442789236906883 0.3262591809372487
524 Hedge pittsburg-bridges-MATERIAL 0.8503463203463203 0.1423410345127055
525 Hedge pittsburg-bridges-REL-L 0.6393809523809524 0.2928002682234352
526 Hedge pittsburg-bridges-SPAN 0.6292982456140352 0.30123005266829067
527 Hedge pittsburg-bridges-T-OR-D 0.8336190476190474 0.2180498486963409
528 Hedge planning 0.7144144144144144 0.4080436981633393
529 Hedge post-operative 0.6911111111111109 0.2864134132585191
530 Hedge seeds 0.8942857142857144 0.07952081943896047
531 Hedge statlog-australian-credit 0.6427536231884058 0.41046196215994185
532 Hedge statlog-german-credit 0.7159 0.32651908108216554
533 Hedge statlog-heart 0.7948148148148146 0.2531165005844386
534 Hedge statlog-image 0.9604761904761905 0.012960080161368716
535 Hedge statlog-vehicle 0.7284852071005916 0.148665983001905
536 Hedge synthetic-control 0.8980000000000001 0.03526071746856307
537 Hedge tic-tac-toe 0.9832989746945902 0.0324288588201445
538 Hedge vertebral-column-2clases 0.8470967741935483 0.19925244798629155
539 Hedge wine 0.9791587301587302 0.016852769344692316
540 Hedge zoo 0.9298571428571428 0.022397494870964197
541 TBRRoF balance-scale 0.901701780173118 0.022727898539488985
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 0.9684692187804401 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 0.834423076923077 0.05150748510916756
550 TBRRoF cylinder-bands 0.767890625 0.03324347930143141
551 TBRRoF dermatology 0.9746077041238331 0.014736301000625167
552 TBRRoF echocardiogram 0.8499598214285714 0.05162023787508073
553 TBRRoF fertility 0.8810000000000003 0.060740820180344164
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 0.714239981360671 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 0.8536486486486488 0.05135724820856693
564 TBRRoF mammographic 0.8280522130013831 0.020736800209974978
565 TBRRoF molec-biol-promoter 0.8059340659340658 0.07345265473126247
566 TBRRoF musk-1 0.8918907563025209 0.028415223920829437
567 TBRRoF oocytes_merluccius_nucleus_4d 0.8380727855344474 0.021149025869688552
568 TBRRoF oocytes_merluccius_states_2f 0.9260048065918971 0.01392436830249517
569 TBRRoF oocytes_trisopterus_nucleus_2f 0.8335307017543863 0.025458035585743156
570 TBRRoF oocytes_trisopterus_states_5b 0.931666666666666 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 0.6932608695652175 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 0.9474358974358972 0.027630596849567368
580 TBRRoF statlog-australian-credit 0.6782665062817429 0.029157752633879357
581 TBRRoF statlog-german-credit 0.7554400000000001 0.024236821524035296
582 TBRRoF statlog-heart 0.8349664719878868 0.0410218444181296
583 TBRRoF statlog-image 0.9756969824863881 0.006903978139917843
584 TBRRoF statlog-vehicle 0.7870681752441981 0.026493453010463675
585 TBRRoF synthetic-control 0.9910666666666664 0.00849185901074688
586 TBRRoF tic-tac-toe 0.9844217781558706 0.008102161082608183
587 TBRRoF vertebral-column-2clases 0.8515140555646883 0.03497531619650492
588 TBRRoF wine 0.9804743083003953 0.020476239593149058
589 TBRRoF zoo 0.9492615384615388 0.04884462984878655
590 TBRaF balance-scale 0.8975269475747183 0.023461084398242734
591 TBRaF balloons 0.59875 0.23763055126492547
592 TBRaF breast-cancer-wisc-diag 0.9693809711415347 0.012888038813231393
593 TBRaF breast-cancer-wisc-prog 0.8002541016406561 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
597 TBRaF cardiotocography-3clases 0.9193786017390813 0.011408461529019366
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 0.8456473214285714 0.06257980864237837
602 TBRaF fertility 0.8804000000000003 0.05947711861036103
603 TBRaF haberman-survival 0.7328744939271254 0.04650268909435261
604 TBRaF heart-hungarian 0.819897716894977 0.040808946053684174
605 TBRaF hepatitis 0.8162130937098846 0.057721855658188784
606 TBRaF ilpd-indian-liver 0.7113035880708294 0.03241044043427038
607 TBRaF ionosphere 0.932176245210728 0.027745840941158267
608 TBRaF iris 0.9624047124047124 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 0.827950899031812 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 0.8296710526315794 0.02406624812234792
619 TBRaF oocytes_trisopterus_states_5b 0.9273903508771925 0.016976508458830007
620 TBRaF parkinsons 0.9110845588235295 0.03900626598564447
621 TBRaF pima 0.7593229166666666 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 0.7097068557919625 0.055516738956114635
627 TBRaF post-operative 0.7067613636363635 0.08307013468275573
628 TBRaF seeds 0.9433297720797718 0.03028629022052037
629 TBRaF statlog-australian-credit 0.6782645014701952 0.030260627344985316
630 TBRaF statlog-german-credit 0.74954 0.026938015580533888
631 TBRaF statlog-heart 0.8338795154661477 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 0.9759070469973432 0.012840130632245466
636 TBRaF vertebral-column-2clases 0.8492429722176555 0.03473914078871642
637 TBRaF wine 0.9804347826086953 0.019004456684509077
638 TBRaF zoo 0.9336076923076927 0.058309997782000134

View File

@@ -1,39 +0,0 @@
---------------------------------------------------------------------
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:
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
---------------------------------------------------------------------
$testMultiple
classifier pvalue rank win tie loss
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

38
src/pair_check.py Normal file → Executable file
View File

@@ -1,8 +1,8 @@
#!/usr/bin/env python
import argparse
from Experiments import Experiment, Datasets
from Results import Report
from Utils import EnvDefault
import os
from Results import Summary, StubReport
from Utils import EnvDefault, Folders, BEST_ACCURACY_STREE
"""Check best results of two models giving scores and win-tie-loose results
"""
@@ -36,7 +36,8 @@ def parse_arguments():
args = ap.parse_args()
return (
args.score,
args.model1 < args.model2,
args.model1,
args.model2,
)
@@ -45,3 +46,32 @@ def parse_arguments():
model1,
model2,
) = parse_arguments()
summary = Summary()
summary.acquire()
win = tie = loose = 0
best_1 = summary.best_result(criterion="model", value=model1, score=score)
best_2 = summary.best_result(criterion="model", value=model2, score=score)
report_1 = StubReport(os.path.join(Folders.results, best_1["file"]))
report_1.report()
report_2 = StubReport(os.path.join(Folders.results, best_2["file"]))
report_2.report()
for result1, result2 in zip(report_1.lines, report_2.lines):
result = result1["score"] - result2["score"]
if result > 0:
win += 1
elif result < 0:
loose += 1
else:
tie += 1
print(f"{'Model':<20} {'File':<70} {'Score':<10} Win Tie Loose")
print("=" * 20 + " " + "=" * 70 + " " + "=" * 10 + " === === =====")
print(
f"{model1:<20} {best_1['file']:<70} "
f"{report_1.accuracy / BEST_ACCURACY_STREE:10.5f}"
)
print(
f"{model2:<20} {best_2['file']:<70} "
f"{report_2.accuracy / BEST_ACCURACY_STREE:10.5f} "
f"{win:3d} {tie:3d} {loose:5d}"
)