mirror of
https://github.com/Doctorado-ML/benchmark.git
synced 2025-08-16 16:05:54 +00:00
Merge branch 'main' of github.com:doctorado-ml/benchmark into main
This commit is contained in:
@@ -1,638 +0,0 @@
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classifier, dataset, accuracy, stdev
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ExtraTree, balance-scale, 0.7878399999999999, 0.03687783073880566
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ExtraTree, balloons, 0.575, 0.28927591596182967
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ExtraTree, breast-cancer-wisc-diag, 0.9131858407079645, 0.027969722048511687
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ExtraTree, breast-cancer-wisc-prog, 0.6632179487179486, 0.07656410793102837
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ExtraTree, breast-cancer-wisc, 0.9403360739979445, 0.02165140889671454
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ExtraTree, breast-cancer, 0.656908650937689, 0.05914309228326181
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ExtraTree, cardiotocography-10clases, 0.6989177575255454, 0.030051929270415455
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ExtraTree, cardiotocography-3clases, 0.8819887323943664, 0.01507833257138732
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ExtraTree, conn-bench-sonar-mines-rocks, 0.6956445993031357, 0.07653320217222026
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ExtraTree, cylinder-bands, 0.6958918713116314, 0.04592870865503856
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ExtraTree, dermatology, 0.8975268419104035, 0.039527668904658364
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ExtraTree, echocardiogram, 0.7305982905982905, 0.08853188223988526
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ExtraTree, fertility, 0.8059999999999999, 0.06902173570694958
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ExtraTree, haberman-survival, 0.6500105764145954, 0.06301971546791206
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ExtraTree, heart-hungarian, 0.7604909409701931, 0.04869532741159298
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ExtraTree, hepatitis, 0.7793548387096775, 0.07805118521205993
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ExtraTree, ilpd-indian-liver, 0.6634232242852933, 0.03869963692900845
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ExtraTree, ionosphere, 0.8540885311871226, 0.04332727262995767
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ExtraTree, iris, 0.9333333333333335, 0.044221663871405324
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ExtraTree, led-display, 0.7036999999999999, 0.02880642289490313
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ExtraTree, libras, 0.6022222222222223, 0.05851558829982036
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ExtraTree, low-res-spect, 0.8043255157820492, 0.03860708555393554
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ExtraTree, lymphography, 0.7288505747126437, 0.07209829097764534
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ExtraTree, mammographic, 0.7595207253886009, 0.027055981087449776
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ExtraTree, molec-biol-promoter, 0.6611255411255411, 0.09268635844993099
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ExtraTree, musk-1, 0.7796030701754388, 0.043688902783382194
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ExtraTree, oocytes_merluccius_nucleus_4d, 0.6907929220468675, 0.025573299489788766
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ExtraTree, oocytes_merluccius_states_2f, 0.8678149210903873, 0.01875101003253329
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ExtraTree, oocytes_trisopterus_nucleus_2f, 0.6820134510298443, 0.035675489219353006
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ExtraTree, oocytes_trisopterus_states_5b, 0.8403422806701495, 0.02618600526924095
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ExtraTree, parkinsons, 0.8482051282051282, 0.06020783639564789
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ExtraTree, pima, 0.6649944826415415, 0.03466246243736563
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ExtraTree, pittsburg-bridges-MATERIAL, 0.7835930735930735, 0.07970952540707685
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ExtraTree, pittsburg-bridges-REL-L, 0.6253333333333333, 0.10873604896570042
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ExtraTree, pittsburg-bridges-SPAN, 0.5715204678362573, 0.12252433352049193
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ExtraTree, pittsburg-bridges-T-OR-D, 0.8365714285714287, 0.08634786997098468
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ExtraTree, planning, 0.5972672672672672, 0.08066489784697915
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ExtraTree, post-operative, 0.5733333333333334, 0.10566660824861103
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ExtraTree, seeds, 0.8838095238095236, 0.04354995567685211
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ExtraTree, statlog-australian-credit, 0.5704347826086956, 0.041879795179494514
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ExtraTree, statlog-german-credit, 0.6663999999999999, 0.030692670134740637
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ExtraTree, statlog-heart, 0.7507407407407407, 0.04860326215293292
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ExtraTree, statlog-image, 0.928917748917749, 0.011578447915777758
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ExtraTree, statlog-vehicle, 0.6626481030281935, 0.029721786236711036
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ExtraTree, synthetic-control, 0.8525, 0.03449033681095813
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ExtraTree, tic-tac-toe, 0.8658529668411867, 0.030146489305175026
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ExtraTree, vertebral-column-2clases, 0.747741935483871, 0.06311049392365933
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ExtraTree, wine, 0.8719999999999999, 0.06055135103670992
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ExtraTree, zoo, 0.9346666666666665, 0.06150449350322653
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STree, balance-scale, 0.97056, 0.015046806970251203
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STree, balloons, 0.86, 0.28501461950807594
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STree, breast-cancer-wisc-diag, 0.9727635460332246, 0.017313211324042233
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STree, breast-cancer-wisc-prog, 0.811128205128205, 0.05846009894763935
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STree, breast-cancer-wisc, 0.967808838643371, 0.012084225264206064
|
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STree, breast-cancer, 0.7342105263157894, 0.047977358056609264
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STree, cardiotocography-10clases, 0.8094129798398231, 0.023346080031830214
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STree, cardiotocography-3clases, 0.904047500690417, 0.015332156149647586
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STree, conn-bench-sonar-mines-rocks, 0.8320905923344947, 0.06095204566527709
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STree, cylinder-bands, 0.7476127926898914, 0.04110007272505122
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STree, dermatology, 0.9729211403184006, 0.019813499795909784
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STree, echocardiogram, 0.855156695156695, 0.06266151037590971
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STree, fertility, 0.88, 0.0547722557505166
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STree, haberman-survival, 0.735637228979376, 0.04346136548997221
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STree, heart-hungarian, 0.8275219170075979, 0.05052827428335672
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STree, hepatitis, 0.8245161290322581, 0.073887165430815
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STree, ilpd-indian-liver, 0.7234983790156204, 0.038488555090414656
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STree, ionosphere, 0.9532756539235413, 0.02385368651558141
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STree, iris, 0.966, 0.032991581417756315
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STree, led-display, 0.7030000000000001, 0.029120439557122058
|
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STree, libras, 0.7886111111111112, 0.05169130237032862
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STree, low-res-spect, 0.8975365896667254, 0.03121679591619338
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STree, lymphography, 0.8350344827586206, 0.05906491141171708
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STree, mammographic, 0.8267465457685665, 0.022926835290767923
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STree, molec-biol-promoter, 0.827142857142857, 0.09431966640910128
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STree, musk-1, 0.9163881578947368, 0.027520787090975468
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STree, oocytes_merluccius_nucleus_4d, 0.8351252989000477, 0.02209607725442717
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STree, oocytes_merluccius_states_2f, 0.9179062649450025, 0.016316580296653664
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STree, oocytes_trisopterus_nucleus_2f, 0.8009860085269921, 0.0218449453461112
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STree, oocytes_trisopterus_states_5b, 0.9224704257491143, 0.01772207930954525
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STree, parkinsons, 0.882051282051282, 0.04783271309276316
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STree, pima, 0.7692530345471521, 0.02618732989053553
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STree, pittsburg-bridges-MATERIAL, 0.8677489177489177, 0.07122264688853039
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STree, pittsburg-bridges-REL-L, 0.6672857142857144, 0.09562399199889633
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STree, pittsburg-bridges-SPAN, 0.6794736842105265, 0.10621707149419587
|
||||
STree, pittsburg-bridges-T-OR-D, 0.8628095238095238, 0.0747571882042698
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STree, planning, 0.7352702702702704, 0.06697755238925641
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STree, post-operative, 0.711111111111111, 0.07535922203472521
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STree, seeds, 0.9528571428571427, 0.0279658035429067
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STree, statlog-australian-credit, 0.6782608695652174, 0.03904983647915211
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STree, statlog-german-credit, 0.7644, 0.028803472012936236
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STree, statlog-heart, 0.8229629629629629, 0.044003990341567836
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STree, statlog-image, 0.9559307359307361, 0.00956073126474503
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STree, statlog-vehicle, 0.7930281935259312, 0.03010396812322711
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STree, synthetic-control, 0.9833333333333334, 0.01092906420717001
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STree, tic-tac-toe, 0.9844442626527051, 0.008387465200358178
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STree, vertebral-column-2clases, 0.8529032258064515, 0.04088510843291576
|
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STree, wine, 0.9791587301587302, 0.022426953738041516
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STree, zoo, 0.9575238095238094, 0.04546150348723332
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ODTE, balance-scale, 0.97376, 0.019001642034308507
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ODTE, balloons, 0.7583333333333333, 0.2785129161178067
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ODTE, breast-cancer-wisc-diag, 0.9739931687626143, 0.016554866765950735
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ODTE, breast-cancer-wisc-prog, 0.810102564102564, 0.06056448251036948
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ODTE, breast-cancer-wisc, 0.971956834532374, 0.01262594441445573
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ODTE, breast-cancer, 0.7433877797943134, 0.04272794739105822
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ODTE, cardiotocography-10clases, 0.8377754211543773, 0.020035258312140675
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ODTE, cardiotocography-3clases, 0.9158537420602043, 0.013571959275117652
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ODTE, conn-bench-sonar-mines-rocks, 0.8431475029036002, 0.052081786915494255
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ODTE, cylinder-bands, 0.7673272415762422, 0.041472855015354505
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ODTE, dermatology, 0.9805997778600516, 0.012861009889409938
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ODTE, echocardiogram, 0.855156695156695, 0.06266151037590971
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ODTE, fertility, 0.88, 0.0547722557505166
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ODTE, haberman-survival, 0.7408778424114226, 0.05131929321866528
|
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ODTE, heart-hungarian, 0.8299123319696085, 0.05556757760909393
|
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ODTE, hepatitis, 0.8283870967741936, 0.07109665710428856
|
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ODTE, ilpd-indian-liver, 0.7272885352195698, 0.039873431660598986
|
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ODTE, ionosphere, 0.9504346076458754, 0.023708279806973313
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ODTE, iris, 0.964, 0.03255081497528987
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ODTE, led-display, 0.7186, 0.02703775138579389
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ODTE, libras, 0.8625, 0.047079031268550814
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ODTE, low-res-spect, 0.9093969317580672, 0.035428439542986974
|
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ODTE, lymphography, 0.8410574712643678, 0.05833785272114171
|
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ODTE, mammographic, 0.8288347366148531, 0.022955531218077037
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ODTE, molec-biol-promoter, 0.8656709956709955, 0.0973712407439469
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ODTE, musk-1, 0.9124013157894737, 0.02990026230299551
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ODTE, oocytes_merluccius_nucleus_4d, 0.8443271162123385, 0.026958181251392942
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ODTE, oocytes_merluccius_states_2f, 0.9230946915351506, 0.015908353110954166
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ODTE, oocytes_trisopterus_nucleus_2f, 0.8154464661022038, 0.022327974942331383
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ODTE, oocytes_trisopterus_states_5b, 0.9267387257551191, 0.01807476944375977
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ODTE, parkinsons, 0.9066666666666667, 0.04522134909753559
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ODTE, pima, 0.7728910958322721, 0.02900120258111359
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ODTE, pittsburg-bridges-MATERIAL, 0.8677489177489177, 0.06934417716014449
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ODTE, pittsburg-bridges-REL-L, 0.6966190476190477, 0.099521633605742
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ODTE, pittsburg-bridges-SPAN, 0.6937426900584795, 0.10948613227073402
|
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ODTE, pittsburg-bridges-T-OR-D, 0.8664761904761904, 0.07649172587269897
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ODTE, planning, 0.7352702702702704, 0.06697755238925641
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ODTE, post-operative, 0.711111111111111, 0.07535922203472521
|
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ODTE, seeds, 0.9571428571428572, 0.027355060221609648
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ODTE, statlog-australian-credit, 0.6782608695652174, 0.03904983647915211
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ODTE, statlog-german-credit, 0.7576, 0.029227384419410526
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ODTE, statlog-heart, 0.8381481481481482, 0.046379185057354784
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ODTE, statlog-image, 0.9641991341991343, 0.007272340744212073
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ODTE, statlog-vehicle, 0.8072182387747998, 0.02404945671905629
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ODTE, synthetic-control, 0.987, 0.009741092797468319
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ODTE, tic-tac-toe, 0.9871591404886563, 0.0074727077754232615
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ODTE, vertebral-column-2clases, 0.8564516129032256, 0.037928954891305953
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ODTE, wine, 0.9814285714285714, 0.02424781771927406
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ODTE, zoo, 0.9574761904761906, 0.04557023434769017
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TBRoF, balance-scale, 0.7826380042462844, 0.18925694969056328
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TBRoF, balloons, 0.61125, 0.247725203364352
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TBRoF, breast-cancer-wisc-diag, 0.973283758495026, 0.013244810623357882
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TBRoF, breast-cancer-wisc-prog, 0.7978151260504203, 0.05694766463433709
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||||
TBRoF, breast-cancer-wisc, 0.9627849210987725, 0.012721293409234216
|
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TBRoF, breast-cancer, 0.7308990931892726, 0.055966571642361095
|
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TBRoF, cardiotocography-10clases, 0.7833492331011966, 0.021307069831893954
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TBRoF, cardiotocography-3clases, 0.895985255615268, 0.012308158973203483
|
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TBRoF, conn-bench-sonar-mines-rocks, 0.7877884615384616, 0.04851951284665777
|
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TBRoF, cylinder-bands, 0.7170703125, 0.035382373191454965
|
||||
TBRoF, dermatology, 0.9742673992673991, 0.015317005568040842
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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
|
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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
|
||||
|
@@ -1,39 +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
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||||
---------------------------------------------------------------------
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||||
$testMultiple
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||||
classifier pvalue rank win tie loss
|
||||
ODTE ODTE NA 3.091837 NA NA NA
|
||||
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Wodt Wodt 2.308557e-19 10.367347 49 0 0
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File diff suppressed because one or more lines are too long
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@@ -1,712 +0,0 @@
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],
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"title": "With gridsearched hyperparameters",
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"version": "-"
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}
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@@ -1,49 +0,0 @@
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.9785600000000001','0.013711542582802286','balance-scale','SVC','0','1','0.005470409393310547','0.000825082715082823','{"C": 10000.0, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.86','0.28501461950807594','balloons','SVC','0','1','0.0004401397705078125','1.4453345651287412e-05','{"C": 7, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.9753951249805931','0.014597293231205878','breast-cancer-wisc-diag','SVC','0','1','0.0013635396957397462','0.000121376716258463','{"C": 0.2, "max_iter": 10000.0, "kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.7938589743589745','0.05657320433780183','breast-cancer-wisc-prog','SVC','0','1','0.0011388015747070311','0.0002464821557232919','{"C": 0.2, "max_iter": 10000.0, "kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.9679527235354572','0.011995201821390402','breast-cancer-wisc','SVC','0','1','0.0019516515731811523','0.00036605881375633803','{"kernel": "rbf"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.7097640653357531','0.04548673708726185','breast-cancer','SVC','0','1','0.00146120548248291','0.00017906099932247707','{"kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.8201355426677713','0.02292971943167577','cardiotocography-10clases','SVC','0','1','0.03224744319915771','0.0018724091025745788','{"kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.8995319524993096','0.016220560106895616','cardiotocography-3clases','SVC','0','1','0.02356377124786377','0.008886608732604141','{"kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.8320905923344947','0.06095204566527709','conn-bench-sonar-mines-rocks','SVC','0','1','0.0013523244857788087','3.332881654823166e-05','{"kernel": "rbf"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.7476127926898914','0.04110007272505122','cylinder-bands','SVC','0','1','0.004786052703857422','0.00030081023486348607','{"kernel": "rbf"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.9715623843021103','0.019321915565579672','dermatology','SVC','0','1','0.00128842830657959','9.376522787126973e-05','{"C": 55, "max_iter": 10000.0, "kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.7893447293447293','0.07164471250434974','echocardiogram','SVC','0','1','0.0006335306167602539','2.3371553967332872e-05','{"C": 7, "gamma": 0.1, "kernel": "poly", "max_iter": 10000.0}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.88','0.0547722557505166','fertility','SVC','0','1','0.0005298089981079101','2.622689722579611e-05','{"C": 0.05, "max_iter": 10000.0, "kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.7304389212057113','0.04883765345604318','haberman-survival','SVC','0','1','0.0013601541519165038','0.0002161560758925071','{"kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.8169959088252484','0.0493578039030494','heart-hungarian','SVC','0','1','0.0009273910522460938','4.1152360658677234e-05','{"C": 0.05, "max_iter": 10000.0, "kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.8245161290322581','0.073887165430815','hepatitis','SVC','0','1','0.0009154987335205078','4.803342469974259e-05','{"C": 7, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.7133952254641912','0.03827755623741007','ilpd-indian-liver','SVC','0','1','0.003720064163208008','0.0006358986402582392','{"kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.9532756539235413','0.02385368651558141','ionosphere','SVC','0','1','0.0025193166732788087','0.00023866137201414208','{"C": 7, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.966','0.032991581417756315','iris','SVC','0','1','0.0005801725387573242','0.00012964664006465349','{"kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.7204','0.02523568901377571','led-display','SVC','0','1','0.004968976974487305','0.0007454650331974553','{"kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.7427777777777779','0.05228129047119374','libras','SVC','0','1','0.004348988533020019','0.00011789238707198441','{"C": 0.08, "max_iter": 10000.0, "kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
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replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.9016769529183564','0.03269429070378195','low-res-spect','SVC','0','1','0.0036452913284301756','0.00013564915277084006','{"C": 0.05, "max_iter": 10000.0, "kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
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replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.8471494252873564','0.05938135729224899','lymphography','SVC','0','1','0.0006799745559692383','2.5446422430898902e-05','{"C": 0.05, "max_iter": 10000.0, "kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.8267465457685665','0.022926835290767923','mammographic','SVC','0','1','0.008485808372497558','0.0004949674633003508','{"kernel": "rbf"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
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replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.827142857142857','0.09431966640910128','molec-biol-promoter','SVC','0','1','0.000785989761352539','2.9941137888993328e-05','{"kernel": "rbf"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
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replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.9163881578947368','0.027520787090975468','musk-1','SVC','0','1','0.0072632312774658205','0.00033318801173011644','{"C": 0.05, "gamma": 0.1, "kernel": "poly", "max_iter": 10000.0}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.8403060736489717','0.023610853521046887','oocytes_merluccius_nucleus_4d','SVC','0','1','0.1708998680114746','0.03412802727016322','{"C": 8.25, "gamma": 0.1, "kernel": "poly"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
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replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.9197675753228122','0.016293604623296522','oocytes_merluccius_states_2f','SVC','0','1','0.006530613899230957','0.0005808026739545692','{"kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
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||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.7946219900318259','0.02365726340775905','oocytes_trisopterus_nucleus_2f','SVC','0','1','0.01390514850616455','0.001677459827969071','{"kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.9222464420825075','0.018202901471558224','oocytes_trisopterus_states_5b','SVC','0','1','0.004840407371520996','0.00020127188568847356','{"C": 0.11, "max_iter": 10000.0, "kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.8569230769230768','0.045317203302800785','parkinsons','SVC','0','1','0.000878610610961914','8.076702862856064e-05','{"kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.7695127748068923','0.02622048017958126','pima','SVC','0','1','0.005951528549194336','0.00040212060986905815','{"kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.8177056277056276','0.07419071059995634','pittsburg-bridges-MATERIAL','SVC','0','1','0.0005900382995605469','2.7231493373551927e-05','{"C": 7, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.6488571428571429','0.09917715888014444','pittsburg-bridges-REL-L','SVC','0','1','0.0006755208969116211','5.537694523752256e-05','{"kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.7094736842105265','0.10829259913995691','pittsburg-bridges-SPAN','SVC','0','1','0.0005861043930053711','9.284132433646358e-05','{"C": 0.05, "max_iter": 10000.0, "kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.8645238095238096','0.07509819724217713','pittsburg-bridges-T-OR-D','SVC','0','1','0.0005504989624023438','3.741822819738554e-05','{"kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.7352702702702704','0.06697755238925641','planning','SVC','0','1','0.0011424112319946289','4.152049499431638e-05','{"C": 7, "gamma": 10.0, "kernel": "rbf", "max_iter": 10000.0}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.6455555555555554','0.07926358589783025','post-operative','SVC','0','1','0.0006249856948852539','2.5338899114648023e-05','{"C": 55, "degree": 5, "gamma": 0.1, "kernel": "poly", "max_iter": 10000.0}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.92','0.0710721265021167','seeds','SVC','0','1','0.0021086788177490236','0.00048241236859517336','{"C": 10000.0, "max_iter": 10000.0, "kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.6782608695652174','0.03904983647915211','statlog-australian-credit','SVC','0','1','0.0033515310287475586','9.238840976045301e-05','{"C": 0.05, "max_iter": 10000.0, "kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.7663999999999999','0.027166891614610618','statlog-german-credit','SVC','0','1','0.01946547508239746','0.003434984175861793','{"kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.8303703703703706','0.040801301789393805','statlog-heart','SVC','0','1','0.0016689395904541016','0.0006356373031451787','{"kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.9554545454545453','0.00732216243366479','statlog-image','SVC','0','1','0.018981671333312987','0.0017818104871941706','{"C": 7, "max_iter": 10000.0, "kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.797883745214062','0.028612590720497322','statlog-vehicle','SVC','0','1','0.00798799991607666','0.0004560280775823335','{"kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.9846666666666667','0.010049875621120901','synthetic-control','SVC','0','1','0.0023563241958618163','0.00036236016197434317','{"C": 0.55, "max_iter": 10000.0, "kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.9844442626527051','0.008387465200358178','tic-tac-toe','SVC','0','1','0.006028361320495605','0.0003939973121056981','{"C": 0.2, "gamma": 0.1, "kernel": "poly", "max_iter": 10000.0}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.8461290322580644','0.03927146112240879','vertebral-column-2clases','SVC','0','1','0.001038036346435547','5.271465214296842e-05','{"kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.9645714285714284','0.028746272776460524','wine','SVC','0','1','0.0006193733215332032','2.4868525757074873e-05','{"C": 0.55, "max_iter": 10000.0, "kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
|
||||
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.9366666666666668','0.05165294968232069','zoo','SVC','0','1','0.0007095479965209961','9.763987376415993e-05','{"C": 0.1, "max_iter": 10000.0, "kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
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||||
],
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||||
"title": "default",
|
||||
"version": "-"
|
||||
}
|
||||
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user