diff --git a/results/best_results_accuracy_ODTE.json b/results/best_results_accuracy_ODTE.json index 0692579..4a41f7b 100644 --- a/results/best_results_accuracy_ODTE.json +++ b/results/best_results_accuracy_ODTE.json @@ -1 +1 @@ -{"balance-scale": [0.0, {"n_jobs": 1, "n_estimators": 100, "be_hyperparams": "{\"C\": 10000.0, \"gamma\": 0.1, \"kernel\": \"rbf\", \"max_iter\": 10000.0, \"multiclass_strategy\": \"ovr\"}"}, "-program made-"], "balloons": [0.0, {"n_jobs": 1, "n_estimators": 100, "be_hyperparams": "{\"C\": 7, \"gamma\": 0.1, \"kernel\": \"rbf\", \"max_iter\": 10000.0, \"multiclass_strategy\": \"ovr\"}"}, "-program made-"], "breast-cancer-wisc-diag": [0.0, {"n_jobs": 1, "n_estimators": 100, "be_hyperparams": "{\"C\": 0.2, \"max_iter\": 10000.0, \"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}"}, "-program made-"], "breast-cancer-wisc-prog": [0.0, {"n_jobs": 1, "n_estimators": 100, "be_hyperparams": "{\"C\": 0.2, \"max_iter\": 10000.0, \"kernel\": \"liblinear\", 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\"ovr\"}"}, "-program made-"]} diff --git a/results/exreport_accuracy.csv b/results/exreport_accuracy.csv new file mode 100644 index 0000000..1b6fcea --- /dev/null +++ b/results/exreport_accuracy.csv @@ -0,0 +1,638 @@ +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 diff --git a/results/exreport_accuracy.txt b/results/exreport_accuracy.txt new file mode 100644 index 0000000..a988153 --- /dev/null +++ b/results/exreport_accuracy.txt @@ -0,0 +1,39 @@ +--------------------------------------------------------------------- +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 + diff --git a/results/exreport_err_accuracy.txt b/results/exreport_err_accuracy.txt new file mode 100644 index 0000000..8ee4ae4 --- /dev/null +++ b/results/exreport_err_accuracy.txt @@ -0,0 +1,17 @@ +Warning messages: +1: In grSoftVersion() : + unable to load shared object '/Library/Frameworks/R.framework/Resources/modules//R_X11.so': + dlopen(/Library/Frameworks/R.framework/Resources/modules//R_X11.so, 0x0006): Library not loaded: /opt/X11/lib/libSM.6.dylib + Referenced from: /Library/Frameworks/R.framework/Versions/4.0/Resources/modules/R_X11.so + Reason: tried: '/opt/X11/lib/libSM.6.dylib' (no such file), '/Library/Frameworks/R.framework/Resources/lib/libSM.6.dylib' (no such file), '/Library/Java/JavaVirtualMachines/jdk1.8.0_241.jdk/Contents/Home/jre/lib/server/libSM.6.dylib' (no such file) +2: In cairoVersion() : + unable to load shared object '/Library/Frameworks/R.framework/Resources/library/grDevices/libs//cairo.so': + dlopen(/Library/Frameworks/R.framework/Resources/library/grDevices/libs//cairo.so, 0x0006): Library not loaded: /opt/X11/lib/libXrender.1.dylib + Referenced from: /Library/Frameworks/R.framework/Versions/4.0/Resources/library/grDevices/libs/cairo.so + Reason: tried: '/opt/X11/lib/libXrender.1.dylib' (no such file), '/Library/Frameworks/R.framework/Resources/lib/libXrender.1.dylib' (no such file), '/Library/Java/JavaVirtualMachines/jdk1.8.0_241.jdk/Contents/Home/jre/lib/server/libXrender.1.dylib' (no such file) +3: In svg(paste(figPath, id, ".svg", sep = ""), width = 11.69, height = 8.27) : + failed to load cairo DLL +4: In svg(paste(figPath, id, ".svg", sep = ""), width = 11.69, height = 8.27) : + failed to load cairo DLL +5: In svg(paste(figPath, id, ".svg", sep = ""), width = 11.69, height = 8.27) : + failed to load cairo DLL diff --git a/results/results_accuracy_BaggingStree_bart_2022-02-20_16:22:48_0.xlsx b/results/results_accuracy_BaggingStree_bart_2022-02-20_16:22:48_0.xlsx new file mode 100644 index 0000000..94ee51c Binary files /dev/null and b/results/results_accuracy_BaggingStree_bart_2022-02-20_16:22:48_0.xlsx differ diff --git a/results/results_accuracy_BaggingStree_bart_2022-02-21_10:54:13_0.xlsx b/results/results_accuracy_BaggingStree_bart_2022-02-21_10:54:13_0.xlsx new file mode 100644 index 0000000..77276da Binary files /dev/null and b/results/results_accuracy_BaggingStree_bart_2022-02-21_10:54:13_0.xlsx differ diff --git a/results/results_accuracy_Bagging_iMac27_2022-01-14_14:00:32_0.json b/results/results_accuracy_Bagging_iMac27_2022-01-14_14:00:32_0.json deleted file mode 100644 index 52bfd1a..0000000 --- a/results/results_accuracy_Bagging_iMac27_2022-01-14_14:00:32_0.json +++ /dev/null @@ -1 +0,0 @@ -{"score_name": "accuracy", "title": "Test BaggingClassifier with STree", "model": "Bagging", "version": "-", "stratified": false, "folds": 5, "date": "2022-01-14", "time": "14:00:32", "duration": 2.4914512634277344, "seeds": [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1], "platform": "iMac27", "results": [{"dataset": "balance-scale", "samples": 625, "features": 4, "classes": 3, "hyperparameters": {"base_estimator": "Stree(random_state=0)", "max_features": 0.75, "max_samples": 0.4, "n_estimators": 10}, "nodes": 0.0, "leaves": 0.0, "depth": 0.0, "score": NaN, "score_std": NaN, "time": 0.0005263137817382812, "time_std": 7.377665193163519e-05}, {"dataset": "balloons", "samples": 16, "features": 4, "classes": 2, "hyperparameters": {"base_estimator": "Stree(random_state=0)", "max_features": 0.75, "max_samples": 0.4, "n_estimators": 10}, "nodes": 0.0, "leaves": 0.0, "depth": 0.0, "score": NaN, "score_std": NaN, "time": 0.0004933309555053711, "time_std": 2.092596432523415e-05}, {"dataset": "breast-cancer-wisc-diag", "samples": 569, "features": 30, "classes": 2, "hyperparameters": {"base_estimator": "Stree(random_state=0)", "max_features": 0.75, "max_samples": 0.4, "n_estimators": 10}, "nodes": 0.0, "leaves": 0.0, "depth": 0.0, "score": NaN, "score_std": NaN, "time": 0.0005257034301757813, "time_std": 3.4794574471198685e-05}, {"dataset": "breast-cancer-wisc-prog", "samples": 198, "features": 33, "classes": 2, "hyperparameters": {"base_estimator": "Stree(random_state=0)", "max_features": 0.75, "max_samples": 0.4, "n_estimators": 10}, "nodes": 0.0, "leaves": 0.0, "depth": 0.0, "score": NaN, "score_std": NaN, "time": 0.0005057001113891601, "time_std": 5.7292682248176166e-05}, {"dataset": "breast-cancer-wisc", "samples": 699, "features": 9, "classes": 2, "hyperparameters": {"base_estimator": "Stree(random_state=0)", "max_features": 0.75, "max_samples": 0.4, "n_estimators": 10}, "nodes": 0.0, "leaves": 0.0, "depth": 0.0, "score": NaN, "score_std": NaN, "time": 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"score_std": NaN, "time": 0.0004799652099609375, "time_std": 2.8855490070195133e-05}, {"dataset": "wine", "samples": 178, "features": 13, "classes": 3, "hyperparameters": {"base_estimator": "Stree(random_state=0)", "max_features": 0.75, "max_samples": 0.4, "n_estimators": 10}, "nodes": 0.0, "leaves": 0.0, "depth": 0.0, "score": NaN, "score_std": NaN, "time": 0.00047484397888183596, "time_std": 2.4478924911636095e-05}, {"dataset": "zoo", "samples": 101, "features": 16, "classes": 7, "hyperparameters": {"base_estimator": "Stree(random_state=0)", "max_features": 0.75, "max_samples": 0.4, "n_estimators": 10}, "nodes": 0.0, "leaves": 0.0, "depth": 0.0, "score": NaN, "score_std": NaN, "time": 0.0004682588577270508, "time_std": 1.727319092653043e-05}]} \ No newline at end of file diff --git a/results/results_accuracy_ODTE_Galgo_2022-02-17_09:59:54_0.xlsx b/results/results_accuracy_ODTE_Galgo_2022-02-17_09:59:54_0.xlsx index 2a5493a..8c0af80 100644 Binary files a/results/results_accuracy_ODTE_Galgo_2022-02-17_09:59:54_0.xlsx and b/results/results_accuracy_ODTE_Galgo_2022-02-17_09:59:54_0.xlsx differ diff --git a/src/Results.py b/src/Results.py index 049c5c3..768cc5b 100644 --- a/src/Results.py +++ b/src/Results.py @@ -717,7 +717,12 @@ class Summary: data = [x for x in data if x["score"] == score] if model: data = [x for x in data if x["model"] == model] - data = sorted(data, key=itemgetter(sort_key, "time"), reverse=True) + keys = ( + itemgetter(sort_key, "time") + if sort_key == "date" + else itemgetter(sort_key, "date", "time") + ) + data = sorted(data, key=keys, reverse=True) if number > 0: data = data[:number] max_file = max(len(x["file"]) for x in data)