10398522 9706 anshal joshi 146825 Supervised Classification 17293 sklearn.tree.tree.ExtraTreeClassifier(27) 8236291 class_weight null 17293 criterion "gini" 17293 max_depth null 17293 max_features "auto" 17293 max_leaf_nodes null 17293 min_impurity_decrease 0.0 17293 min_impurity_split null 17293 min_samples_leaf 1 17293 min_samples_split 2 17293 min_weight_fraction_leaf 0.0 17293 random_state 9202 17293 splitter "random" 17293 openml-python Sklearn_0.20.1. 40996 Fashion-MNIST https://www.openml.org/data/download/18238735/phpnBqZGZ -1 21718799 description https://api.openml.org/data/download/21718799/description.xml -1 21718800 predictions https://api.openml.org/data/download/21718800/predictions.arff area_under_roc_curve 0.8682063492063492 [0.840056,0.963357,0.790183,0.872675,0.792413,0.917413,0.713444,0.911667,0.943381,0.937476] average_cost 0 f_measure 0.7630378646973608 [0.715673,0.931066,0.621215,0.774384,0.623439,0.855275,0.482866,0.836906,0.904934,0.884621] kappa 0.7364126984126984 kb_relative_information_score 0.7519164444529105 mean_absolute_error 0.047445714285702434 mean_prior_absolute_error 0.1800000000001732 number_of_instances 70000 [7000,7000,7000,7000,7000,7000,7000,7000,7000,7000] precision 0.7633626511641235 [0.720701,0.927306,0.619582,0.779256,0.619222,0.860468,0.480611,0.831594,0.913899,0.880986] predictive_accuracy 0.7627714285714287 prior_entropy 3.321928094891228 recall 0.7627714285714285 [0.710714,0.934857,0.622857,0.769571,0.627714,0.850143,0.485143,0.842286,0.896143,0.888286] relative_absolute_error 0.2635873015869821 root_mean_prior_squared_error 0.3000000000001443 root_mean_squared_error 0.21782037160399492 root_relative_squared_error 0.7260679053463005 total_cost 0 area_under_roc_curve 0.8696031746031745 [0.848175,0.963889,0.788175,0.871032,0.792857,0.92619,0.718016,0.918492,0.940556,0.928651] area_under_roc_curve 0.8667460317460317 [0.834762,0.968968,0.792381,0.85619,0.779921,0.921508,0.706667,0.919048,0.947619,0.940397] area_under_roc_curve 0.8701587301587299 [0.837698,0.970714,0.785952,0.868413,0.81254,0.919444,0.713968,0.913571,0.94246,0.936825] area_under_roc_curve 0.8707936507936508 [0.844921,0.963175,0.801111,0.876667,0.810079,0.924365,0.71746,0.904683,0.935556,0.929921] area_under_roc_curve 0.870873015873016 [0.827143,0.970159,0.797619,0.878492,0.797381,0.920397,0.724921,0.909841,0.938968,0.94381] area_under_roc_curve 0.8616666666666666 [0.833968,0.961746,0.777619,0.854444,0.77873,0.911667,0.701825,0.909365,0.946905,0.940397] area_under_roc_curve 0.8692857142857141 [0.850317,0.958413,0.781746,0.879683,0.787619,0.915952,0.719762,0.91627,0.94627,0.936825] area_under_roc_curve 0.873015873015873 [0.845714,0.965556,0.790714,0.884365,0.794762,0.920317,0.71746,0.916508,0.950397,0.944365] area_under_roc_curve 0.8638888888888888 [0.82373,0.960635,0.799524,0.894444,0.782381,0.912063,0.695952,0.900714,0.94,0.929444] area_under_roc_curve 0.866031746031746 [0.854127,0.950317,0.786984,0.863016,0.787857,0.902222,0.718413,0.908175,0.945079,0.944127] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.7662176325145537 [0.725588,0.932384,0.619014,0.778182,0.621127,0.876812,0.487702,0.840925,0.903553,0.87689] f_measure 0.7604462107967989 [0.70546,0.938342,0.612725,0.756241,0.600142,0.87363,0.474747,0.84507,0.910791,0.887314] f_measure 0.7664106861877024 [0.713357,0.93728,0.615605,0.768012,0.655415,0.857348,0.48433,0.840312,0.909091,0.883357] f_measure 0.7677084885455939 [0.726879,0.931624,0.649709,0.780488,0.647592,0.857749,0.489362,0.823529,0.892909,0.877243] f_measure 0.7674406532484744 [0.696662,0.932679,0.632624,0.785047,0.640636,0.85531,0.501412,0.839542,0.895608,0.894886] f_measure 0.7515568775945893 [0.700428,0.924929,0.599144,0.756278,0.596615,0.839629,0.460127,0.835949,0.915156,0.887314] f_measure 0.7652986123613369 [0.743777,0.928264,0.604255,0.780939,0.612994,0.853852,0.493267,0.842403,0.909877,0.883357] f_measure 0.7713767379563131 [0.724534,0.935897,0.624195,0.788913,0.625706,0.859397,0.493525,0.848787,0.918412,0.894401] f_measure 0.7542784495874314 [0.685838,0.931232,0.637269,0.788966,0.610632,0.847262,0.45806,0.820842,0.893983,0.868701] f_measure 0.7594516242582664 [0.734375,0.917749,0.618364,0.759019,0.623283,0.832127,0.485396,0.831557,0.900143,0.892504] kappa 0.7392063492063492 kappa 0.7334920634920635 kappa 0.7403174603174603 kappa 0.7415873015873017 kappa 0.7417460317460317 kappa 0.7233333333333334 kappa 0.7385714285714285 kappa 0.746031746031746 kappa 0.7277777777777777 kappa 0.7320634920634921 kb_relative_information_score 0.7545457775727246 kb_relative_information_score 0.7491675961926987 kb_relative_information_score 0.7555915350632855 kb_relative_information_score 0.7567866864810685 kb_relative_information_score 0.7569360804082923 kb_relative_information_score 0.7396063848504304 kb_relative_information_score 0.7539482018638333 kb_relative_information_score 0.7609697164433126 kb_relative_information_score 0.7437894148126756 kb_relative_information_score 0.7478230508476904 mean_absolute_error 0.046942857142855704 mean_absolute_error 0.04797142857142707 mean_absolute_error 0.04674285714285571 mean_absolute_error 0.046514285714284294 mean_absolute_error 0.04648571428571287 mean_absolute_error 0.049799999999998394 mean_absolute_error 0.04705714285714141 mean_absolute_error 0.04571428571428434 mean_absolute_error 0.04899999999999844 mean_absolute_error 0.048228571428569914 mean_prior_absolute_error 0.17999999999999403 mean_prior_absolute_error 0.17999999999999403 mean_prior_absolute_error 0.17999999999999403 mean_prior_absolute_error 0.17999999999999403 mean_prior_absolute_error 0.17999999999999403 mean_prior_absolute_error 0.17999999999999403 mean_prior_absolute_error 0.17999999999999403 mean_prior_absolute_error 0.17999999999999403 mean_prior_absolute_error 0.17999999999999403 mean_prior_absolute_error 0.17999999999999403 number_of_instances 7000 [700,700,700,700,700,700,700,700,700,700] number_of_instances 7000 [700,700,700,700,700,700,700,700,700,700] number_of_instances 7000 [700,700,700,700,700,700,700,700,700,700] number_of_instances 7000 [700,700,700,700,700,700,700,700,700,700] number_of_instances 7000 [700,700,700,700,700,700,700,700,700,700] number_of_instances 7000 [700,700,700,700,700,700,700,700,700,700] number_of_instances 7000 [700,700,700,700,700,700,700,700,700,700] number_of_instances 7000 [700,700,700,700,700,700,700,700,700,700] number_of_instances 7000 [700,700,700,700,700,700,700,700,700,700] number_of_instances 7000 [700,700,700,700,700,700,700,700,700,700] precision 0.7674042319101297 [0.72404,0.929078,0.619456,0.792593,0.6125,0.889706,0.479945,0.825309,0.917526,0.88389] precision 0.7611708354863154 [0.709538,0.931083,0.593834,0.777946,0.59467,0.893871,0.479592,0.833333,0.917391,0.88045] precision 0.7667026304514712 [0.721168,0.924896,0.61693,0.774709,0.645429,0.860432,0.482955,0.834979,0.925926,0.879603] precision 0.7681846933126494 [0.73538,0.928977,0.661243,0.783862,0.633015,0.84993,0.485915,0.817159,0.904692,0.881674] precision 0.7674717115545208 [0.707965,0.915978,0.628169,0.790159,0.648609,0.853485,0.49581,0.841954,0.902758,0.889831] precision 0.7523892531152022 [0.69943,0.917135,0.598291,0.782875,0.589136,0.837838,0.454672,0.834758,0.929308,0.88045] precision 0.7660580183627427 [0.762763,0.932277,0.6,0.77762,0.606145,0.860668,0.489451,0.833566,0.918486,0.879603] precision 0.7713906279633467 [0.727666,0.933239,0.625538,0.785007,0.618715,0.863112,0.497101,0.847578,0.928467,0.887482] precision 0.7538206898603003 [0.690304,0.933908,0.634561,0.762667,0.614162,0.854651,0.467958,0.820257,0.896552,0.863188] precision 0.7602242555679593 [0.730226,0.927114,0.621037,0.766764,0.63104,0.843109,0.4729,0.82744,0.89886,0.883754] predictive_accuracy 0.7652857142857142 predictive_accuracy 0.7601428571428572 predictive_accuracy 0.7662857142857143 predictive_accuracy 0.7674285714285715 predictive_accuracy 0.7675714285714286 predictive_accuracy 0.7509999999999999 predictive_accuracy 0.7647142857142858 predictive_accuracy 0.7714285714285714 predictive_accuracy 0.755 predictive_accuracy 0.7588571428571429 prior_entropy 3.3219280948870473 prior_entropy 3.3219280948870473 prior_entropy 3.3219280948870473 prior_entropy 3.3219280948870473 prior_entropy 3.3219280948870473 prior_entropy 3.3219280948870473 prior_entropy 3.3219280948870473 prior_entropy 3.3219280948870473 prior_entropy 3.3219280948870473 prior_entropy 3.3219280948870473 recall 0.7652857142857142 [0.727143,0.935714,0.618571,0.764286,0.63,0.864286,0.495714,0.857143,0.89,0.87] recall 0.7601428571428571 [0.701429,0.945714,0.632857,0.735714,0.605714,0.854286,0.47,0.857143,0.904286,0.894286] recall 0.7662857142857142 [0.705714,0.95,0.614286,0.761429,0.665714,0.854286,0.485714,0.845714,0.892857,0.887143] recall 0.7674285714285715 [0.718571,0.934286,0.638571,0.777143,0.662857,0.865714,0.492857,0.83,0.881429,0.872857] recall 0.7675714285714286 [0.685714,0.95,0.637143,0.78,0.632857,0.857143,0.507143,0.837143,0.888571,0.9] recall 0.751 [0.701429,0.932857,0.6,0.731429,0.604286,0.841429,0.465714,0.837143,0.901429,0.894286] recall 0.7647142857142857 [0.725714,0.924286,0.608571,0.784286,0.62,0.847143,0.497143,0.851429,0.901429,0.887143] recall 0.7714285714285715 [0.721429,0.938571,0.622857,0.792857,0.632857,0.855714,0.49,0.85,0.908571,0.901429] recall 0.755 [0.681429,0.928571,0.64,0.817143,0.607143,0.84,0.448571,0.821429,0.891429,0.874286] recall 0.7588571428571429 [0.738571,0.908571,0.615714,0.751429,0.615714,0.821429,0.498571,0.835714,0.901429,0.901429] relative_absolute_error 0.2607936507936514 relative_absolute_error 0.266507936507937 relative_absolute_error 0.25968253968254035 relative_absolute_error 0.2584126984126991 relative_absolute_error 0.25825396825396896 relative_absolute_error 0.27666666666666695 relative_absolute_error 0.26142857142857207 relative_absolute_error 0.2539682539682548 relative_absolute_error 0.2722222222222226 relative_absolute_error 0.2679365079365084 root_mean_prior_squared_error 0.29999999999999505 root_mean_prior_squared_error 0.29999999999999505 root_mean_prior_squared_error 0.29999999999999505 root_mean_prior_squared_error 0.29999999999999505 root_mean_prior_squared_error 0.29999999999999505 root_mean_prior_squared_error 0.29999999999999505 root_mean_prior_squared_error 0.29999999999999505 root_mean_prior_squared_error 0.29999999999999505 root_mean_prior_squared_error 0.29999999999999505 root_mean_prior_squared_error 0.29999999999999505 root_mean_squared_error 0.21666300363203614 root_mean_squared_error 0.21902380822966958 root_mean_squared_error 0.21620096471305514 root_mean_squared_error 0.21567170819160378 root_mean_squared_error 0.21560545977714216 root_mean_squared_error 0.22315913604421037 root_mean_squared_error 0.21692658402588977 root_mean_squared_error 0.2138089935299363 root_mean_squared_error 0.22135943621178303 root_mean_squared_error 0.21961004400657524 root_relative_squared_error 0.722210012106799 root_relative_squared_error 0.7300793607655772 root_relative_squared_error 0.7206698823768624 root_relative_squared_error 0.7189056939720244 root_relative_squared_error 0.7186848659238191 root_relative_squared_error 0.743863786814047 root_relative_squared_error 0.7230886134196445 root_relative_squared_error 0.7126966450997995 root_relative_squared_error 0.7378647873726223 root_relative_squared_error 0.7320334800219297 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 875 usercpu_time_millis 984.375 usercpu_time_millis 968.75 usercpu_time_millis 921.875 usercpu_time_millis 875 usercpu_time_millis 968.75 usercpu_time_millis 906.25 usercpu_time_millis 921.875 usercpu_time_millis 921.875 usercpu_time_millis 937.5 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_training 859.375 usercpu_time_millis_training 968.75 usercpu_time_millis_training 953.125 usercpu_time_millis_training 921.875 usercpu_time_millis_training 875 usercpu_time_millis_training 953.125 usercpu_time_millis_training 890.625 usercpu_time_millis_training 906.25 usercpu_time_millis_training 906.25 usercpu_time_millis_training 921.875 wall_clock_time_millis 864.410400390625 wall_clock_time_millis 994.3466186523438 wall_clock_time_millis 964.4510746002197 wall_clock_time_millis 930.833101272583 wall_clock_time_millis 883.3320140838623 wall_clock_time_millis 967.6306247711182 wall_clock_time_millis 907.5682163238525 wall_clock_time_millis 914.7384166717529 wall_clock_time_millis 929.1670322418213 wall_clock_time_millis 937.5014305114746 wall_clock_time_millis_testing 12.011051177978516 wall_clock_time_millis_testing 12.965202331542969 wall_clock_time_millis_testing 13.011932373046875 wall_clock_time_millis_testing 10.970115661621094 wall_clock_time_millis_testing 11.965513229370117 wall_clock_time_millis_testing 10.973691940307617 wall_clock_time_millis_testing 9.836196899414062 wall_clock_time_millis_testing 12.184381484985352 wall_clock_time_millis_testing 11.974573135375977 wall_clock_time_millis_testing 11.965274810791016 wall_clock_time_millis_training 852.3993492126465 wall_clock_time_millis_training 981.3814163208008 wall_clock_time_millis_training 951.4391422271729 wall_clock_time_millis_training 919.8629856109619 wall_clock_time_millis_training 871.3665008544922 wall_clock_time_millis_training 956.6569328308105 wall_clock_time_millis_training 897.7320194244385 wall_clock_time_millis_training 902.5540351867676 wall_clock_time_millis_training 917.1924591064453 wall_clock_time_millis_training 925.5361557006836