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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"post-operative": [0.0, {"n_jobs": -1, "n_estimators": 100, "be_hyperparams": "{\"C\": 55, \"degree\": 5, \"gamma\": 0.1, \"kernel\": \"poly\", \"max_iter\": 10000.0, \"multiclass_strategy\": \"ovr\"}"}, "-program made-"], "seeds": [0.0, {"n_jobs": -1, "n_estimators": 100, "be_hyperparams": "{\"C\": 10000.0, \"max_iter\": 10000.0, \"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}"}, "-program made-"], "statlog-australian-credit": [0.0, {"n_jobs": -1, "n_estimators": 100, "be_hyperparams": "{}"}, "-program made-"], "statlog-german-credit": [0.0, {"n_jobs": -1, "n_estimators": 100, "be_hyperparams": "{}"}, "-program made-"], "statlog-heart": [0.0, {"n_jobs": -1, "n_estimators": 100, "be_hyperparams": "{\"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}"}, "-program made-"], "statlog-image": [0.0, {"n_jobs": -1, "n_estimators": 100, "be_hyperparams": "{\"C\": 7, \"max_iter\": 10000.0, \"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}"}, "-program made-"], "statlog-vehicle": [0.0, {"n_jobs": -1, "n_estimators": 100, "be_hyperparams": "{\"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}"}, "-program made-"], "synthetic-control": [0.0, {"n_jobs": -1, "n_estimators": 100, "be_hyperparams": "{}"}, "-program made-"], "tic-tac-toe": [0.0, {"n_jobs": -1, "n_estimators": 100, "be_hyperparams": "{\"C\": 0.2, \"gamma\": 0.1, \"kernel\": \"poly\", \"max_iter\": 10000.0, \"multiclass_strategy\": \"ovr\"}"}, "-program made-"], "vertebral-column-2clases": [0.0, {"n_jobs": -1, "n_estimators": 100, "be_hyperparams": "{\"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}"}, "-program made-"], "wine": [0.0, {"n_jobs": -1, "n_estimators": 100, "be_hyperparams": "{\"C\": 0.55, \"max_iter\": 10000.0, \"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}"}, "-program made-"], "zoo": [0.0, {"n_jobs": -1, "n_estimators": 100, "be_hyperparams": "{\"C\": 0.1, \"max_iter\": 10000.0, \"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}"}, "-program made-"]} diff --git a/results/exreport_accuracy.csv b/results/exreport_accuracy.csv index 007c9b9..1b6fcea 100644 --- a/results/exreport_accuracy.csv +++ b/results/exreport_accuracy.csv @@ -142,7 +142,7 @@ ODTE, statlog-heart, 0.8381481481481482, 0.046379185057354784 ODTE, statlog-image, 0.9641991341991343, 0.007272340744212073 ODTE, statlog-vehicle, 0.8072182387747998, 0.02404945671905629 ODTE, synthetic-control, 0.987, 0.009741092797468319 -ODTE, tic-tac-toe, 0.9846531413612564, 0.00756301332812281 +ODTE, tic-tac-toe, 0.9871591404886563, 0.0074727077754232615 ODTE, vertebral-column-2clases, 0.8564516129032256, 0.037928954891305953 ODTE, wine, 0.9814285714285714, 0.02424781771927406 ODTE, zoo, 0.9574761904761906, 0.04557023434769017 @@ -244,6 +244,104 @@ Wodt, tic-tac-toe, 0.9449798211169285, 0.029347280139619656 Wodt, vertebral-column-2clases, 0.8138709677419353, 0.04530047675895885 Wodt, wine, 0.967920634920635, 0.028208046326376822 Wodt, zoo, 0.9514285714285715, 0.043724036675722826 +RandomForest, balance-scale, 0.8488000000000001, 0.025562472493872744 +RandomForest, balloons, 0.6583333333333333, 0.24958298553119895 +RandomForest, breast-cancer-wisc-diag, 0.9602856699270299, 0.01304850246785924 +RandomForest, breast-cancer-wisc-prog, 0.7889487179487179, 0.062095973522275645 +RandomForest, breast-cancer-wisc, 0.9682384378211717, 0.012979760074633098 +RandomForest, breast-cancer, 0.7173260738052026, 0.05543339031060783 +RandomForest, cardiotocography-10clases, 0.8729086992543498, 0.01716119423915263 +RandomForest, cardiotocography-3clases, 0.9415357083678542, 0.011745284632829643 +RandomForest, conn-bench-sonar-mines-rocks, 0.833437862950058, 0.05787314265134896 +RandomForest, cylinder-bands, 0.792147344374643, 0.03975693903506292 +RandomForest, dermatology, 0.9778563495001852, 0.015194540700548658 +RandomForest, echocardiogram, 0.8292592592592591, 0.07125299167854407 +RandomForest, fertility, 0.887, 0.06067124524847005 +RandomForest, haberman-survival, 0.7084822845055527, 0.05577963957846104 +RandomForest, heart-hungarian, 0.8169783752191703, 0.047084407169907465 +RandomForest, hepatitis, 0.8225806451612903, 0.07162452681024038 +RandomForest, ilpd-indian-liver, 0.7048010610079575, 0.03367965359465586 +RandomForest, ionosphere, 0.9327565392354125, 0.02623998580282412 +RandomForest, iris, 0.9499999999999998, 0.03144660377352201 +RandomForest, led-display, 0.7132000000000001, 0.027545598559479512 +RandomForest, libras, 0.8008333333333334, 0.051039351799359346 +RandomForest, low-res-spect, 0.8941421266090636, 0.033512494391602414 +RandomForest, lymphography, 0.8472873563218392, 0.07011193134668385 +RandomForest, mammographic, 0.8082259283246978, 0.022691310103387825 +RandomForest, molec-biol-promoter, 0.8914718614718615, 0.06923296108787423 +RandomForest, musk-1, 0.8892916666666667, 0.032218163597528444 +RandomForest, oocytes_merluccius_nucleus_4d, 0.8008857006217122, 0.026005202449345177 +RandomForest, oocytes_merluccius_states_2f, 0.9224098517455765, 0.014089731590980637 +RandomForest, oocytes_trisopterus_nucleus_2f, 0.80932324506095, 0.02940827813910382 +RandomForest, oocytes_trisopterus_states_5b, 0.9135879421125322, 0.018448127398280962 +RandomForest, parkinsons, 0.906153846153846, 0.043092182889324544 +RandomForest, pima, 0.7619658772599949, 0.029215416907967737 +RandomForest, pittsburg-bridges-MATERIAL, 0.8393939393939392, 0.06465451660842308 +RandomForest, pittsburg-bridges-REL-L, 0.6780476190476192, 0.08371922895638823 +RandomForest, pittsburg-bridges-SPAN, 0.6433333333333333, 0.1000367396003129 +RandomForest, pittsburg-bridges-T-OR-D, 0.856095238095238, 0.07211284933039848 +RandomForest, planning, 0.7022522522522522, 0.06398440367639394 +RandomForest, post-operative, 0.6344444444444445, 0.08613082211681551 +RandomForest, seeds, 0.9333333333333332, 0.041785544701867246 +RandomForest, statlog-australian-credit, 0.6682608695652174, 0.03491189739487307 +RandomForest, statlog-german-credit, 0.7622999999999999, 0.02486382914999218 +RandomForest, statlog-heart, 0.8307407407407408, 0.044445987627530076 +RandomForest, statlog-image, 0.9785714285714286, 0.007182103906076649 +RandomForest, statlog-vehicle, 0.7494166376609818, 0.02747614895571888 +RandomForest, synthetic-control, 0.9860000000000001, 0.010598742063723111 +RandomForest, tic-tac-toe, 0.9884075043630017, 0.0071140588943835546 +RandomForest, vertebral-column-2clases, 0.8322580645161289, 0.04539112025635577 +RandomForest, wine, 0.9825873015873016, 0.02303907423919074 +RandomForest, zoo, 0.9594761904761906, 0.04292716501935155 +BaggingStree, balance-scale, 0.9743999999999999, 0.01893145530591877 +BaggingStree, balloons, 0.7733333333333333, 0.27235597621087326 +BaggingStree, breast-cancer-wisc-diag, 0.9759276509858718, 0.014451052166715531 +BaggingStree, breast-cancer-wisc-prog, 0.8091410256410256, 0.05525623326760874 +BaggingStree, breast-cancer-wisc, 0.9682353545734841, 0.013372407783798355 +BaggingStree, breast-cancer, 0.7394494857834241, 0.04747649879695565 +BaggingStree, cardiotocography-10clases, 0.8287906103286384, 0.019919444360845064 +BaggingStree, cardiotocography-3clases, 0.9121377520022094, 0.01484624306368222 +BaggingStree, conn-bench-sonar-mines-rocks, 0.8364227642276423, 0.05768447229690234 +BaggingStree, cylinder-bands, 0.7509347039786789, 0.041363431918714964 +BaggingStree, dermatology, 0.983054424287301, 0.01146631014778772 +BaggingStree, echocardiogram, 0.855156695156695, 0.06266151037590971 +BaggingStree, fertility, 0.88, 0.0547722557505166 +BaggingStree, haberman-survival, 0.7359545214172395, 0.047857454758329004 +BaggingStree, heart-hungarian, 0.8299006428988897, 0.050874048012859115 +BaggingStree, hepatitis, 0.8283870967741934, 0.06780028209248852 +BaggingStree, ilpd-indian-liver, 0.7269378131447097, 0.03708761542948765 +BaggingStree, ionosphere, 0.9510100603621732, 0.02418916928619684 +BaggingStree, iris, 0.9653333333333335, 0.032632635334721105 +BaggingStree, led-display, 0.7218000000000001, 0.027124896313165885 +BaggingStree, libras, 0.8544444444444445, 0.044724810139063854 +BaggingStree, low-res-spect, 0.910904602362899, 0.034998937080933226 +BaggingStree, lymphography, 0.8511724137931036, 0.060541983349731314 +BaggingStree, mammographic, 0.8272695379965458, 0.02450569044585343 +BaggingStree, molec-biol-promoter, 0.8387012987012987, 0.07620183897953593 +BaggingStree, musk-1, 0.9128135964912282, 0.029764363025043043 +BaggingStree, oocytes_merluccius_nucleus_4d, 0.8454954567192731, 0.02495631167694985 +BaggingStree, oocytes_merluccius_states_2f, 0.9220148254423719, 0.01653121938374588 +BaggingStree, oocytes_trisopterus_nucleus_2f, 0.8103038491563082, 0.020971220779186443 +BaggingStree, oocytes_trisopterus_states_5b, 0.9239998799015193, 0.01817568579552671 +BaggingStree, parkinsons, 0.901025641025641, 0.04865312826739729 +BaggingStree, pima, 0.7726398438163143, 0.028486201404109596 +BaggingStree, pittsburg-bridges-MATERIAL, 0.8658874458874459, 0.07136421080457399 +BaggingStree, pittsburg-bridges-REL-L, 0.6818095238095239, 0.09893968478062681 +BaggingStree, pittsburg-bridges-SPAN, 0.7003508771929825, 0.10417934569394204 +BaggingStree, pittsburg-bridges-T-OR-D, 0.8628095238095238, 0.0747571882042698 +BaggingStree, planning, 0.7352702702702704, 0.06697755238925641 +BaggingStree, post-operative, 0.711111111111111, 0.07535922203472521 +BaggingStree, seeds, 0.9576190476190476, 0.028686277108245766 +BaggingStree, statlog-australian-credit, 0.6782608695652174, 0.03904983647915211 +BaggingStree, statlog-german-credit, 0.7656000000000001, 0.028716545753276115 +BaggingStree, statlog-heart, 0.8392592592592593, 0.04262317742463941 +BaggingStree, statlog-image, 0.9613419913419912, 0.007744079362039781 +BaggingStree, statlog-vehicle, 0.8039122868082146, 0.02550795916537555 +BaggingStree, synthetic-control, 0.9868333333333333, 0.009441339358845712 +BaggingStree, tic-tac-toe, 0.9862183682373472, 0.007729402310947018 +BaggingStree, vertebral-column-2clases, 0.8574193548387095, 0.03942352546439275 +BaggingStree, wine, 0.9791746031746031, 0.025059546117196532 +BaggingStree, zoo, 0.9664285714285715, 0.04138270586454204 SVC, balance-scale, 0.9785600000000001, 0.013711542582802286 SVC, balloons, 0.86, 0.28501461950807594 SVC, breast-cancer-wisc-diag, 0.9753951249805931, 0.014597293231205878 @@ -342,104 +440,6 @@ BaggingWodt, tic-tac-toe, 0.9527105148342061, 0.020956068837478 BaggingWodt, vertebral-column-2clases, 0.8429032258064517, 0.04325588746295833 BaggingWodt, wine, 0.9831111111111112, 0.020289564182456803 BaggingWodt, zoo, 0.9574761904761906, 0.038427155222620905 -BaggingStree, balance-scale, 0.9046400000000001, 0.024778829673735604 -BaggingStree, balloons, 0.7466666666666666, 0.22543784558547889 -BaggingStree, breast-cancer-wisc-diag, 0.9664291259121255, 0.014671587276866486 -BaggingStree, breast-cancer-wisc-prog, 0.7687564102564102, 0.07070554199381442 -BaggingStree, breast-cancer-wisc, 0.9678129496402877, 0.013280622942249616 -BaggingStree, breast-cancer, 0.7293768905021173, 0.04592856682964331 -BaggingStree, cardiotocography-10clases, 0.8248878210439105, 0.020088771819471586 -BaggingStree, cardiotocography-3clases, 0.8991088649544325, 0.017672766557020134 -BaggingStree, conn-bench-sonar-mines-rocks, 0.8200696864111499, 0.04751360241183439 -BaggingStree, cylinder-bands, 0.6814201408718826, 0.04672859958144014 -BaggingStree, dermatology, 0.983054424287301, 0.01146631014778772 -BaggingStree, echocardiogram, 0.855156695156695, 0.06266151037590971 -BaggingStree, fertility, 0.88, 0.0547722557505166 -BaggingStree, haberman-survival, 0.7353199365415125, 0.048398466240040176 -BaggingStree, heart-hungarian, 0.8207364114552892, 0.04947084712984143 -BaggingStree, hepatitis, 0.8019354838709677, 0.07688254755551763 -BaggingStree, ilpd-indian-liver, 0.7135661656351313, 0.038048725185040336 -BaggingStree, ionosphere, 0.9208088531187122, 0.03440093358479876 -BaggingStree, iris, 0.9553333333333331, 0.0295221197673127 -BaggingStree, led-display, 0.7128, 0.029885782572989444 -BaggingStree, libras, 0.8544444444444445, 0.044724810139063854 -BaggingStree, low-res-spect, 0.9043078822077234, 0.031947679613072245 -BaggingStree, lymphography, 0.7700689655172414, 0.07050802195491458 -BaggingStree, mammographic, 0.8272695379965458, 0.02450569044585343 -BaggingStree, molec-biol-promoter, 0.8387012987012987, 0.07620183897953593 -BaggingStree, musk-1, 0.8318991228070175, 0.03598591892932648 -BaggingStree, oocytes_merluccius_nucleus_4d, 0.7072391200382592, 0.03671500267792582 -BaggingStree, oocytes_merluccius_states_2f, 0.9130105212816835, 0.018260354243601108 -BaggingStree, oocytes_trisopterus_nucleus_2f, 0.7445030925358793, 0.03262686720944289 -BaggingStree, oocytes_trisopterus_states_5b, 0.8790548249564645, 0.02150378389813439 -BaggingStree, parkinsons, 0.8697435897435898, 0.04751275824369424 -BaggingStree, pima, 0.759612087259146, 0.025906439151399386 -BaggingStree, pittsburg-bridges-MATERIAL, 0.8563636363636362, 0.07381651843817168 -BaggingStree, pittsburg-bridges-REL-L, 0.6818095238095239, 0.09893968478062681 -BaggingStree, pittsburg-bridges-SPAN, 0.6563157894736843, 0.10692196863427415 -BaggingStree, pittsburg-bridges-T-OR-D, 0.8628095238095238, 0.0747571882042698 -BaggingStree, planning, 0.7143693693693695, 0.0715459100205182 -BaggingStree, post-operative, 0.711111111111111, 0.07535922203472521 -BaggingStree, seeds, 0.939047619047619, 0.04045097253637199 -BaggingStree, statlog-australian-credit, 0.6782608695652174, 0.03904983647915211 -BaggingStree, statlog-german-credit, 0.7364999999999999, 0.03200390601161053 -BaggingStree, statlog-heart, 0.8392592592592593, 0.04262317742463941 -BaggingStree, statlog-image, 0.9594372294372293, 0.008806199315273038 -BaggingStree, statlog-vehicle, 0.7127880264531847, 0.04127485840961743 -BaggingStree, synthetic-control, 0.9860000000000001, 0.008406346808612346 -BaggingStree, tic-tac-toe, 0.7933235165794066, 0.042192838956410524 -BaggingStree, vertebral-column-2clases, 0.8487096774193548, 0.042781783007912466 -BaggingStree, wine, 0.978063492063492, 0.025306267118142396 -BaggingStree, zoo, 0.9664285714285715, 0.04138270586454204 -Bagging, balance-scale, nan, nan -Bagging, balloons, nan, nan -Bagging, breast-cancer-wisc-diag, nan, nan -Bagging, breast-cancer-wisc-prog, nan, nan -Bagging, breast-cancer-wisc, nan, nan -Bagging, breast-cancer, nan, nan -Bagging, cardiotocography-10clases, nan, nan -Bagging, cardiotocography-3clases, nan, nan -Bagging, conn-bench-sonar-mines-rocks, nan, nan -Bagging, cylinder-bands, nan, nan -Bagging, dermatology, nan, nan -Bagging, echocardiogram, nan, nan -Bagging, fertility, nan, nan -Bagging, haberman-survival, nan, nan -Bagging, heart-hungarian, nan, nan -Bagging, hepatitis, nan, nan -Bagging, ilpd-indian-liver, nan, nan -Bagging, ionosphere, nan, nan -Bagging, iris, nan, nan -Bagging, led-display, nan, nan -Bagging, libras, nan, nan -Bagging, low-res-spect, nan, nan -Bagging, lymphography, nan, nan -Bagging, mammographic, nan, nan -Bagging, molec-biol-promoter, nan, nan -Bagging, musk-1, nan, nan -Bagging, oocytes_merluccius_nucleus_4d, nan, nan -Bagging, oocytes_merluccius_states_2f, nan, nan -Bagging, oocytes_trisopterus_nucleus_2f, nan, nan -Bagging, oocytes_trisopterus_states_5b, nan, nan -Bagging, parkinsons, nan, nan -Bagging, pima, nan, nan -Bagging, pittsburg-bridges-MATERIAL, nan, nan -Bagging, pittsburg-bridges-REL-L, nan, nan -Bagging, pittsburg-bridges-SPAN, nan, nan -Bagging, pittsburg-bridges-T-OR-D, nan, nan -Bagging, planning, nan, nan -Bagging, post-operative, nan, nan -Bagging, seeds, nan, nan -Bagging, statlog-australian-credit, nan, nan -Bagging, statlog-german-credit, nan, nan -Bagging, statlog-heart, nan, nan -Bagging, statlog-image, nan, nan -Bagging, statlog-vehicle, nan, nan -Bagging, synthetic-control, nan, nan -Bagging, tic-tac-toe, nan, nan -Bagging, vertebral-column-2clases, nan, nan -Bagging, wine, nan, nan -Bagging, zoo, nan, nan Cart, balance-scale, 0.7820799999999999, 0.03608203985364464 Cart, balloons, 0.6833333333333335, 0.26977356760397747 Cart, breast-cancer-wisc-diag, 0.9239217512808571, 0.02323176886368342 @@ -542,11 +542,11 @@ TBRRoF, balance-scale, 0.901701780173118, 0.022727898539488985 TBRRoF, balloons, 0.64875, 0.23921130353453926 TBRRoF, breast-cancer-wisc-diag, 0.9734979808923474, 0.01211458933120479 TBRRoF, breast-cancer-wisc-prog, 0.8079471788715488, 0.05471208977777354 -TBRRoF, breast-cancer-wisc, 0.9688194038573934, 0.01104260329962437 +TBRRoF, breast-cancer-wisc, 0.9684692187804401, 0.011827258213964388 TBRRoF, breast-cancer, 0.7354775226702683, 0.04827367740143163 TBRRoF, cardiotocography-10clases, 0.8288138243181649, 0.01645252887633946 TBRRoF, cardiotocography-3clases, 0.9224819890962925, 0.011610247810599902 -TBRRoF, conn-bench-sonar-mines-rocks, 0.8375, 0.053844346412695955 +TBRRoF, conn-bench-sonar-mines-rocks, 0.834423076923077, 0.05150748510916756 TBRRoF, cylinder-bands, 0.767890625, 0.03324347930143141 TBRRoF, dermatology, 0.9746077041238331, 0.014736301000625167 TBRRoF, echocardiogram, 0.8499598214285714, 0.05162023787508073 @@ -554,43 +554,43 @@ TBRRoF, fertility, 0.8810000000000003, 0.060740820180344164 TBRRoF, haberman-survival, 0.7374089068825913, 0.044260313726551134 TBRRoF, heart-hungarian, 0.8190036529680362, 0.03888797653544859 TBRRoF, hepatitis, 0.8227984595635432, 0.0532198072811453 -TBRRoF, ilpd-indian-liver, 0.7193709226467846, 0.023486304382908652 +TBRRoF, ilpd-indian-liver, 0.714239981360671, 0.033670460871576914 TBRRoF, ionosphere, 0.9459827586206895, 0.02184731993247911 TBRRoF, iris, 0.9658281358281358, 0.02676690588381821 TBRRoF, led-display, 0.68436, 0.04995546157031798 TBRRoF, libras, 0.8801666666666665, 0.03679035193712203 TBRRoF, low-res-spect, 0.8999957912457909, 0.026355170969855124 -TBRRoF, lymphography, 0.8621621621621622, 0.05538892305924108 +TBRRoF, lymphography, 0.8536486486486488, 0.05135724820856693 TBRRoF, mammographic, 0.8280522130013831, 0.020736800209974978 -TBRRoF, molec-biol-promoter, 0.8082417582417584, 0.08100093455762149 +TBRRoF, molec-biol-promoter, 0.8059340659340658, 0.07345265473126247 TBRRoF, musk-1, 0.8918907563025209, 0.028415223920829437 -TBRRoF, oocytes_merluccius_nucleus_4d, 0.8403234912642101, 0.018770954783619315 +TBRRoF, oocytes_merluccius_nucleus_4d, 0.8380727855344474, 0.021149025869688552 TBRRoF, oocytes_merluccius_states_2f, 0.9260048065918971, 0.01392436830249517 -TBRRoF, oocytes_trisopterus_nucleus_2f, 0.8344298245614035, 0.02138638757870041 -TBRRoF, oocytes_trisopterus_states_5b, 0.9350877192982455, 0.013985948140735555 +TBRRoF, oocytes_trisopterus_nucleus_2f, 0.8335307017543863, 0.025458035585743156 +TBRRoF, oocytes_trisopterus_states_5b, 0.931666666666666, 0.01590439823771617 TBRRoF, parkinsons, 0.9318872549019607, 0.03330032511327817 TBRRoF, pima, 0.768046875, 0.028059285918720294 TBRRoF, pittsburg-bridges-MATERIAL, 0.8622252747252745, 0.05272285056647456 TBRRoF, pittsburg-bridges-REL-L, 0.6864928571428571, 0.08623338832389287 -TBRRoF, pittsburg-bridges-SPAN, 0.6956521739130435, 0.06464277753695896 +TBRRoF, pittsburg-bridges-SPAN, 0.6932608695652175, 0.08145095608868286 TBRRoF, pittsburg-bridges-T-OR-D, 0.8713629629629633, 0.06055900326616563 TBRRoF, planning, 0.7224751773049648, 0.05837993833973262 TBRRoF, post-operative, 0.7113068181818182, 0.08162598674627758 -TBRRoF, seeds, 0.9512464387464385, 0.033266940266918926 +TBRRoF, seeds, 0.9474358974358972, 0.027630596849567368 TBRRoF, statlog-australian-credit, 0.6782665062817429, 0.029157752633879357 -TBRRoF, statlog-german-credit, 0.7592000000000001, 0.019449259220096972 -TBRRoF, statlog-heart, 0.8392277741726153, 0.037384083235462114 +TBRRoF, statlog-german-credit, 0.7554400000000001, 0.024236821524035296 +TBRRoF, statlog-heart, 0.8349664719878868, 0.0410218444181296 TBRRoF, statlog-image, 0.9756969824863881, 0.006903978139917843 TBRRoF, statlog-vehicle, 0.7870681752441981, 0.026493453010463675 -TBRRoF, synthetic-control, 0.9919999999999998, 0.009575797952794753 +TBRRoF, synthetic-control, 0.9910666666666664, 0.00849185901074688 TBRRoF, tic-tac-toe, 0.9844217781558706, 0.008102161082608183 TBRRoF, vertebral-column-2clases, 0.8515140555646883, 0.03497531619650492 -TBRRoF, wine, 0.9821640316205533, 0.018615197860478525 +TBRRoF, wine, 0.9804743083003953, 0.020476239593149058 TBRRoF, zoo, 0.9492615384615388, 0.04884462984878655 TBRaF, balance-scale, 0.8975269475747183, 0.023461084398242734 -TBRaF, balloons, 0.6375, 0.23612831034708318 -TBRaF, breast-cancer-wisc-diag, 0.9722372697724811, 0.013193347862443736 -TBRaF, breast-cancer-wisc-prog, 0.801140456182473, 0.05994146019366561 +TBRaF, balloons, 0.59875, 0.23763055126492547 +TBRaF, breast-cancer-wisc-diag, 0.9693809711415347, 0.012888038813231393 +TBRaF, breast-cancer-wisc-prog, 0.8002541016406561, 0.05869323051922061 TBRaF, breast-cancer-wisc, 0.9685330216247806, 0.011892547172713566 TBRaF, breast-cancer, 0.732153193131391, 0.04414297240873954 TBRaF, cardiotocography-10clases, 0.8268112132229536, 0.016587713750123762 @@ -598,90 +598,41 @@ TBRaF, cardiotocography-3clases, 0.9193786017390813, 0.011408461529019366 TBRaF, conn-bench-sonar-mines-rocks, 0.8092307692307693, 0.052101905394016206 TBRaF, cylinder-bands, 0.748671875, 0.037879462930709165 TBRaF, dermatology, 0.974489542715349, 0.015244381530713037 -TBRaF, echocardiogram, 0.8470982142857144, 0.04121407375891862 +TBRaF, echocardiogram, 0.8456473214285714, 0.06257980864237837 TBRaF, fertility, 0.8804000000000003, 0.05947711861036103 -TBRaF, haberman-survival, 0.7405026990553306, 0.04442778063213871 +TBRaF, haberman-survival, 0.7328744939271254, 0.04650268909435261 TBRaF, heart-hungarian, 0.819897716894977, 0.040808946053684174 -TBRaF, hepatitis, 0.8308087291399229, 0.030786481618938533 +TBRaF, hepatitis, 0.8162130937098846, 0.057721855658188784 TBRaF, ilpd-indian-liver, 0.7113035880708294, 0.03241044043427038 -TBRaF, ionosphere, 0.9350574712643678, 0.03531528446913812 -TBRaF, iris, 0.9625086625086627, 0.02370416415994463 +TBRaF, ionosphere, 0.932176245210728, 0.027745840941158267 +TBRaF, iris, 0.9624047124047124, 0.027672604537966147 TBRaF, led-display, 0.7121600000000001, 0.025910057029585667 TBRaF, libras, 0.8463888888888887, 0.03918389343605342 TBRaF, low-res-spect, 0.9000336700336697, 0.023601420494052557 TBRaF, lymphography, 0.8422972972972973, 0.0589135421754256 -TBRaF, mammographic, 0.8293430152143845, 0.022325145379837995 +TBRaF, mammographic, 0.827950899031812, 0.021234429745443983 TBRaF, molec-biol-promoter, 0.7957554945054945, 0.07181386667033816 TBRaF, musk-1, 0.8739495798319328, 0.0282061820436449 TBRaF, oocytes_merluccius_nucleus_4d, 0.8366516365300984, 0.02109662119057668 TBRaF, oocytes_merluccius_states_2f, 0.9237768368047604, 0.015521407216536862 -TBRaF, oocytes_trisopterus_nucleus_2f, 0.8346491228070174, 0.019722730155514016 +TBRaF, oocytes_trisopterus_nucleus_2f, 0.8296710526315794, 0.02406624812234792 TBRaF, oocytes_trisopterus_states_5b, 0.9273903508771925, 0.016976508458830007 TBRaF, parkinsons, 0.9110845588235295, 0.03900626598564447 -TBRaF, pima, 0.7598958333333333, 0.02539774065272653 +TBRaF, pima, 0.7593229166666666, 0.028362314210191343 TBRaF, pittsburg-bridges-MATERIAL, 0.8643956043956043, 0.0575076392003003 TBRaF, pittsburg-bridges-REL-L, 0.6964571428571429, 0.08540119415248532 TBRaF, pittsburg-bridges-SPAN, 0.6832608695652175, 0.08456145562451363 TBRaF, pittsburg-bridges-T-OR-D, 0.8654074074074076, 0.059112371460567796 -TBRaF, planning, 0.7153900709219856, 0.05557611621471211 -TBRaF, post-operative, 0.707007575757576, 0.10139602230667759 +TBRaF, planning, 0.7097068557919625, 0.055516738956114635 +TBRaF, post-operative, 0.7067613636363635, 0.08307013468275573 TBRaF, seeds, 0.9433297720797718, 0.03028629022052037 -TBRaF, statlog-australian-credit, 0.6782812082330928, 0.03941790588788404 -TBRaF, statlog-german-credit, 0.7564000000000001, 0.023820380482179344 -TBRaF, statlog-heart, 0.8361345446679644, 0.04254934551175193 +TBRaF, statlog-australian-credit, 0.6782645014701952, 0.030260627344985316 +TBRaF, statlog-german-credit, 0.74954, 0.026938015580533888 +TBRaF, statlog-heart, 0.8338795154661477, 0.03857659315818731 TBRaF, statlog-image, 0.9680695515784999, 0.007978763699442637 TBRaF, statlog-vehicle, 0.7753996172930158, 0.02537062422962424 TBRaF, synthetic-control, 0.9886666666666664, 0.008239844094951121 -TBRaF, tic-tac-toe, 0.9768216462091356, 0.010279827512750403 -TBRaF, vertebral-column-2clases, 0.8508877198750617, 0.031040561304764965 +TBRaF, tic-tac-toe, 0.9759070469973432, 0.012840130632245466 +TBRaF, vertebral-column-2clases, 0.8492429722176555, 0.03473914078871642 TBRaF, wine, 0.9804347826086953, 0.019004456684509077 TBRaF, zoo, 0.9336076923076927, 0.058309997782000134 -RandomForest, balance-scale, 0.83616, 0.02649630917694009 -RandomForest, balloons, 0.625, 0.24958298553119898 -RandomForest, breast-cancer-wisc-diag, 0.9602856699270299, 0.01304850246785924 -RandomForest, breast-cancer-wisc-prog, 0.7889487179487179, 0.062095973522275645 -RandomForest, breast-cancer-wisc, 0.9678078108941419, 0.013450156204218109 -RandomForest, breast-cancer, 0.7173260738052026, 0.05543339031060783 -RandomForest, cardiotocography-10clases, 0.8729086992543498, 0.01716119423915263 -RandomForest, cardiotocography-3clases, 0.9415357083678542, 0.011745284632829643 -RandomForest, conn-bench-sonar-mines-rocks, 0.833437862950058, 0.05787314265134896 -RandomForest, cylinder-bands, 0.792147344374643, 0.03975693903506292 -RandomForest, dermatology, 0.9778563495001852, 0.015194540700548658 -RandomForest, echocardiogram, 0.8139316239316239, 0.07230626105687148 -RandomForest, fertility, 0.8740000000000001, 0.0626418390534633 -RandomForest, haberman-survival, 0.7029666842940243, 0.046522788130533295 -RandomForest, heart-hungarian, 0.813249561659848, 0.04539952943524693 -RandomForest, hepatitis, 0.8225806451612903, 0.07162452681024038 -RandomForest, ilpd-indian-liver, 0.7048010610079575, 0.03367965359465586 -RandomForest, ionosphere, 0.9321851106639838, 0.031025947121713787 -RandomForest, iris, 0.9473333333333332, 0.03061590000854675 -RandomForest, led-display, 0.7097, 0.028747347703744767 -RandomForest, libras, 0.8008333333333334, 0.051039351799359346 -RandomForest, low-res-spect, 0.8941421266090636, 0.033512494391602414 -RandomForest, lymphography, 0.8472873563218392, 0.07011193134668385 -RandomForest, mammographic, 0.7956336355785838, 0.021570639366604298 -RandomForest, molec-biol-promoter, 0.8914718614718615, 0.06923296108787423 -RandomForest, musk-1, 0.8892916666666667, 0.032218163597528444 -RandomForest, oocytes_merluccius_nucleus_4d, 0.8008857006217122, 0.026005202449345177 -RandomForest, oocytes_merluccius_states_2f, 0.9224098517455765, 0.014089731590980637 -RandomForest, oocytes_trisopterus_nucleus_2f, 0.8086627034168018, 0.02785857804335842 -RandomForest, oocytes_trisopterus_states_5b, 0.9135879421125322, 0.018448127398280962 -RandomForest, parkinsons, 0.906153846153846, 0.043092182889324544 -RandomForest, pima, 0.7619658772599949, 0.029215416907967737 -RandomForest, pittsburg-bridges-MATERIAL, 0.8291341991341992, 0.07027590215086539 -RandomForest, pittsburg-bridges-REL-L, 0.6680952380952381, 0.07481193351882705 -RandomForest, pittsburg-bridges-SPAN, 0.6433333333333333, 0.1000367396003129 -RandomForest, pittsburg-bridges-T-OR-D, 0.8541428571428571, 0.0780557536653904 -RandomForest, planning, 0.6983483483483484, 0.0654856086595986 -RandomForest, post-operative, 0.6188888888888889, 0.09687079341723154 -RandomForest, seeds, 0.9333333333333332, 0.041785544701867246 -RandomForest, statlog-australian-credit, 0.6607246376811594, 0.04062342366030316 -RandomForest, statlog-german-credit, 0.76, 0.023748684174075843 -RandomForest, statlog-heart, 0.822962962962963, 0.04257809737244419 -RandomForest, statlog-image, 0.9785714285714286, 0.007182103906076649 -RandomForest, statlog-vehicle, 0.7494166376609818, 0.02747614895571888 -RandomForest, synthetic-control, 0.9860000000000001, 0.010598742063723111 -RandomForest, tic-tac-toe, 0.9884075043630017, 0.0071140588943835546 -RandomForest, vertebral-column-2clases, 0.8322580645161289, 0.04539112025635577 -RandomForest, wine, 0.9825873015873016, 0.02303907423919074 -RandomForest, zoo, 0.9594761904761906, 0.04292716501935155 diff --git a/results/exreport_accuracy.txt b/results/exreport_accuracy.txt index c9c6e11..a988153 100644 --- a/results/exreport_accuracy.txt +++ b/results/exreport_accuracy.txt @@ -1,41 +1,39 @@ --------------------------------------------------------------------- -Friedman test, objetive maximize output variable accuracy. Obtained p-value: 6.6349e-82 -Chi squared with 13 degrees of freedom statistic: 421.4222 -Test rejected: p-value: 6.6349e-82 < 0.0500 +Friedman test, objetive maximize output variable accuracy. Obtained p-value: 3.5365e-68 +Chi squared with 12 degrees of freedom statistic: 352.8361 +Test rejected: p-value: 3.5365e-68 < 0.0500 --------------------------------------------------------------------- Control post hoc test for output accuracy Adjust method: Holm Control method: ODTE p-values: - TBRRoF 0.2667 - SVC 0.0337 - TBRaF 0.0337 - STree 0.0305 - BaggingWodt 0.0181 - RandomForest 0.0001 - TBRoF 0.0001 - BaggingStree 0.0000 + BaggingStree 0.4919 + TBRRoF 0.2100 + SVC 0.0072 + BaggingWodt 0.0068 + STree 0.0052 + TBRaF 0.0022 + RandomForest 0.0002 + TBRoF 0.0000 Hedge 0.0000 Wodt 0.0000 Cart 0.0000 ExtraTree 0.0000 - Bagging 0.0000 --------------------------------------------------------------------- $testMultiple classifier pvalue rank win tie loss -ODTE ODTE NA 2.918367 NA NA NA -TBRRoF TBRRoF 2.666656e-01 3.857143 30 0 19 -TBRaF TBRaF 3.368966e-02 5.040816 37 0 12 -SVC SVC 3.368966e-02 5.061224 34 3 12 -STree STree 3.049694e-02 5.173469 36 6 7 -BaggingWodt BaggingWodt 1.808617e-02 5.377551 33 1 15 -RandomForest RandomForest 9.782582e-05 6.561224 39 0 10 -TBRoF TBRoF 6.942731e-05 6.653061 43 0 6 -BaggingStree BaggingStree 1.994251e-05 6.897959 42 4 3 -Hedge Hedge 3.459008e-14 9.561224 47 0 2 -Wodt Wodt 1.250970e-16 10.142857 49 0 0 -Cart Cart 2.205000e-22 11.346939 48 0 1 -ExtraTree ExtraTree 3.546304e-28 12.408163 49 0 0 -Bagging Bagging 3.655835e-38 14.000000 49 0 0 +ODTE ODTE NA 3.091837 NA NA NA +BaggingStree BaggingStree 4.918524e-01 3.632653 27 5 17 +TBRRoF TBRRoF 2.099730e-01 4.367347 34 0 15 +SVC SVC 7.221246e-03 5.479592 35 3 11 +BaggingWodt BaggingWodt 6.791738e-03 5.561224 33 1 15 +STree STree 5.168361e-03 5.673469 36 6 7 +TBRaF TBRaF 2.170524e-03 5.897959 39 0 10 +RandomForest RandomForest 2.461390e-04 6.346939 38 0 11 +TBRoF TBRoF 5.434435e-06 7.000000 43 0 6 +Hedge Hedge 3.112186e-16 9.724490 47 0 2 +Wodt Wodt 2.308557e-19 10.367347 49 0 0 +Cart Cart 4.521871e-25 11.408163 48 0 1 +ExtraTree ExtraTree 1.549559e-31 12.448980 49 0 0 diff --git a/results/exreport_err_accuracy.txt b/results/exreport_err_accuracy.txt index 3cd9b3a..8ee4ae4 100644 --- a/results/exreport_err_accuracy.txt +++ b/results/exreport_err_accuracy.txt @@ -1,21 +1,17 @@ Warning messages: -1: Removed 49 rows containing missing values (geom_bar). -2: Removed 49 rows containing missing values (geom_bar). -3: In grSoftVersion() : +1: In grSoftVersion() : unable to load shared object '/Library/Frameworks/R.framework/Resources/modules//R_X11.so': dlopen(/Library/Frameworks/R.framework/Resources/modules//R_X11.so, 0x0006): Library not loaded: /opt/X11/lib/libSM.6.dylib Referenced from: /Library/Frameworks/R.framework/Versions/4.0/Resources/modules/R_X11.so Reason: tried: '/opt/X11/lib/libSM.6.dylib' (no such file), '/Library/Frameworks/R.framework/Resources/lib/libSM.6.dylib' (no such file), '/Library/Java/JavaVirtualMachines/jdk1.8.0_241.jdk/Contents/Home/jre/lib/server/libSM.6.dylib' (no such file) -4: In cairoVersion() : +2: In cairoVersion() : unable to load shared object '/Library/Frameworks/R.framework/Resources/library/grDevices/libs//cairo.so': dlopen(/Library/Frameworks/R.framework/Resources/library/grDevices/libs//cairo.so, 0x0006): Library not loaded: /opt/X11/lib/libXrender.1.dylib Referenced from: /Library/Frameworks/R.framework/Versions/4.0/Resources/library/grDevices/libs/cairo.so Reason: tried: '/opt/X11/lib/libXrender.1.dylib' (no such file), '/Library/Frameworks/R.framework/Resources/lib/libXrender.1.dylib' (no such file), '/Library/Java/JavaVirtualMachines/jdk1.8.0_241.jdk/Contents/Home/jre/lib/server/libXrender.1.dylib' (no such file) +3: In svg(paste(figPath, id, ".svg", sep = ""), width = 11.69, height = 8.27) : + failed to load cairo DLL +4: In svg(paste(figPath, id, ".svg", sep = ""), width = 11.69, height = 8.27) : + failed to load cairo DLL 5: In svg(paste(figPath, id, ".svg", sep = ""), width = 11.69, height = 8.27) : failed to load cairo DLL -6: Removed 49 rows containing missing values (geom_bar). -7: Removed 49 rows containing missing values (geom_bar). -8: In svg(paste(figPath, id, ".svg", sep = ""), width = 11.69, height = 8.27) : - failed to load cairo DLL -9: In svg(paste(figPath, id, ".svg", sep = ""), width = 11.69, height = 8.27) : - failed to load cairo DLL 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": 0.0005154132843017579, "time_std": 2.0927665269655704e-05}, {"dataset": "breast-cancer", "samples": 286, "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": 0.0004943180084228516, "time_std": 1.8228932626018702e-05}, {"dataset": "cardiotocography-10clases", "samples": 2126, "features": 21, "classes": 10, "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": 0.0005937576293945313, "time_std": 2.4039261891669122e-05}, {"dataset": 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"max_samples": 0.4, "n_estimators": 10}, "nodes": 0.0, "leaves": 0.0, "depth": 0.0, "score": NaN, "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)