10559759 24602 Mohammad Mirkazemi 32 Supervised Classification 18732 sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree._classes.DecisionTreeClassifier)(8) 8276268 memory null 18732 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": "estimator"}}] 18732 verbose false 18732 add_indicator false 18733 copy true 18733 fill_value null 18733 missing_values NaN 18733 strategy "mean" 18733 verbose 0 18733 ccp_alpha 0.0 18734 class_weight null 18734 criterion "gini" 18734 max_depth null 18734 max_features null 18734 max_leaf_nodes null 18734 min_impurity_decrease 0.0 18734 min_impurity_split null 18734 min_samples_leaf 1 18734 min_samples_split 2 18734 min_weight_fraction_leaf 0.0 18734 presort "deprecated" 18734 random_state 60558 18734 splitter "best" 18734 openml-python Sklearn_0.22.1. 32 pendigits https://www.openml.org/data/download/32/dataset_32_pendigits.arff -1 22045038 description https://api.openml.org/data/download/22045038/description.xml -1 22045039 predictions https://api.openml.org/data/download/22045039/predictions.arff area_under_roc_curve 0.9788673098103101 [0.988771,0.962521,0.975019,0.980523,0.989166,0.976136,0.985384,0.978775,0.975389,0.976983] average_cost 0 f_measure 0.962000707235887 [0.979878,0.927486,0.954585,0.960415,0.979913,0.95867,0.973946,0.966946,0.959505,0.958748] kappa 0.957739310813877 kb_relative_information_score 0.9602238611131991 mean_absolute_error 0.007605531295487686 mean_prior_absolute_error 0.17996797657803554 weighted_recall 0.9619723435225619 [0.979878,0.934383,0.95542,0.965877,0.980769,0.956398,0.973485,0.960595,0.954502,0.958294] number_of_instances 10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055] precision 0.9620607462925904 [0.979878,0.92069,0.953752,0.955014,0.979058,0.960952,0.974408,0.973381,0.964559,0.959203] predictive_accuracy 0.9619723435225619 prior_entropy 3.320771739846944 relative_absolute_error 0.04226047011308075 root_mean_prior_squared_error 0.29997328837006915 root_mean_squared_error 0.08720969725602587 root_relative_squared_error 0.2907248766378077 total_cost 0 unweighted_recall 0.9619600913716315 [0.979878,0.934383,0.95542,0.965877,0.980769,0.956398,0.973485,0.960595,0.954502,0.958294] area_under_roc_curve 0.9823080702290254 [0.992606,0.965241,0.985434,0.987461,0.985828,0.979947,0.999497,0.977056,0.975409,0.974906] area_under_roc_curve 0.9757234351595959 [0.982101,0.951906,0.952461,0.984207,0.994093,0.97418,0.970189,0.985321,0.983837,0.980126] area_under_roc_curve 0.9797908991351006 [0.978261,0.971146,0.980068,0.983199,0.997462,0.969416,0.994232,0.976736,0.986452,0.960754] area_under_roc_curve 0.9823182303876895 [0.995106,0.970864,0.989705,0.973675,0.990288,0.998489,0.984205,0.963693,0.982193,0.975184] area_under_roc_curve 0.9807734480774665 [0.985319,0.960136,0.975532,0.983331,0.990288,0.983835,0.975184,0.981441,0.97894,0.994735] area_under_roc_curve 0.9787792629891823 [0.975532,0.97572,0.979918,0.974905,0.990288,0.965471,0.97894,0.994599,0.968913,0.98169] area_under_roc_curve 0.9706927682704738 [0.991228,0.950049,0.983289,0.984338,0.981592,0.970373,0.991255,0.962374,0.927565,0.963146] area_under_roc_curve 0.9807837280351898 [0.994091,0.96473,0.96676,0.983835,0.973177,0.980629,0.989055,0.980933,0.989559,0.986955] area_under_roc_curve 0.9812842133235563 [0.995614,0.972994,0.96676,0.977607,0.999492,0.95664,0.990566,0.98869,0.989559,0.973394] area_under_roc_curve 0.9762274036095544 [0.99797,0.942292,0.970356,0.972669,0.989198,0.982193,0.980629,0.977055,0.971195,0.979118] 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 0.9681904294917029 [0.970213,0.934498,0.973913,0.962617,0.977974,0.971154,0.995305,0.968889,0.966507,0.961905] f_measure 0.9565889257716808 [0.977974,0.889831,0.921053,0.971429,0.982609,0.956938,0.956938,0.973684,0.967136,0.971429] f_measure 0.9635678460568412 [0.977778,0.951542,0.961039,0.962264,0.978541,0.951923,0.985782,0.964912,0.953704,0.94686] f_measure 0.968109516239443 [0.991228,0.947826,0.978166,0.952381,0.982609,0.986047,0.971429,0.951111,0.953271,0.966184] f_measure 0.9654723639664256 [0.973684,0.922414,0.95614,0.962617,0.982609,0.967136,0.966184,0.973451,0.961905,0.990476] f_measure 0.9617775641277378 [0.95614,0.956522,0.960699,0.961905,0.982609,0.951923,0.961905,0.9869,0.947368,0.948837] f_measure 0.947147077766491 [0.99115,0.904348,0.956897,0.971698,0.973684,0.922374,0.958904,0.942222,0.913706,0.933333] f_measure 0.9654566882142783 [0.982609,0.930435,0.946903,0.967136,0.96861,0.976077,0.976526,0.969163,0.981132,0.95814] f_measure 0.9663769830209816 [0.995595,0.935622,0.946903,0.948837,0.995633,0.950495,0.990476,0.969697,0.981132,0.948357] f_measure 0.9572104931129346 [0.982759,0.902655,0.943723,0.943396,0.973913,0.953271,0.976077,0.968889,0.966184,0.962264] kappa 0.964639483460922 kappa 0.9515048201269692 kappa 0.9595519802139624 kappa 0.9646082757656169 kappa 0.9615738155024195 kappa 0.9575286804244372 kappa 0.9413505871658059 kappa 0.9615765731367233 kappa 0.9625845144810986 kappa 0.9524734018326811 kb_relative_information_score 0.9667433405943605 kb_relative_information_score 0.9544213918752625 kb_relative_information_score 0.9619074581900015 kb_relative_information_score 0.966710976133873 kb_relative_information_score 0.963900165289921 kb_relative_information_score 0.9598944020066683 kb_relative_information_score 0.9447130004884136 kb_relative_information_score 0.9639876586557713 kb_relative_information_score 0.9646714542052693 kb_relative_information_score 0.9552884752916775 mean_absolute_error 0.0063636363636363664 mean_absolute_error 0.008727272727272726 mean_absolute_error 0.007279344858962696 mean_absolute_error 0.00636942675159236 mean_absolute_error 0.006915377616014563 mean_absolute_error 0.00764331210191083 mean_absolute_error 0.010555050045495897 mean_absolute_error 0.006915377616014563 mean_absolute_error 0.006733393994540495 mean_absolute_error 0.008553230209281164 mean_prior_absolute_error 0.17996798929120086 mean_prior_absolute_error 0.17996798929120086 mean_prior_absolute_error 0.17996580653132724 mean_prior_absolute_error 0.17996580653132724 mean_prior_absolute_error 0.17996724559468558 mean_prior_absolute_error 0.17996724559468558 mean_prior_absolute_error 0.1799686846580439 mean_prior_absolute_error 0.1799701568033185 mean_prior_absolute_error 0.1799701568033185 mean_prior_absolute_error 0.1799686846580439 number_of_instances 1100 [115,114,115,105,114,105,106,114,106,106] number_of_instances 1100 [115,114,115,105,114,105,106,114,106,106] number_of_instances 1099 [115,114,115,105,114,105,105,115,105,106] number_of_instances 1099 [114,115,114,105,115,106,105,115,105,105] number_of_instances 1099 [114,115,114,106,115,106,105,114,105,105] number_of_instances 1099 [114,115,114,106,115,106,105,114,105,105] number_of_instances 1099 [114,114,114,106,115,106,106,114,105,105] number_of_instances 1099 [114,114,114,106,114,106,106,114,106,105] number_of_instances 1099 [114,114,114,106,114,105,106,114,106,106] number_of_instances 1099 [114,114,115,105,114,105,106,114,106,106] precision 0.968475056038719 [0.95,0.930435,0.973913,0.944954,0.982301,0.980583,0.990654,0.981982,0.980583,0.971154] precision 0.9571556191468384 [0.991071,0.860656,0.929204,0.971429,0.974138,0.961538,0.970874,0.973684,0.962617,0.980769] precision 0.9640349553190484 [1,0.955752,0.956897,0.953271,0.957983,0.961165,0.981132,0.973451,0.927928,0.970297] precision 0.9683078701838315 [0.991228,0.947826,0.973913,0.952381,0.982609,0.972477,0.971429,0.972727,0.93578,0.980392] precision 0.9656108991137186 [0.973684,0.91453,0.95614,0.953704,0.982609,0.962617,0.980392,0.982143,0.961905,0.990476] precision 0.961966414594414 [0.95614,0.956522,0.956522,0.971154,0.982609,0.970588,0.961905,0.982609,0.951923,0.927273] precision 0.9483439314645488 [1,0.896552,0.940678,0.971698,0.982301,0.893805,0.929204,0.954955,0.978261,0.933333] precision 0.9657867759513887 [0.974138,0.922414,0.955357,0.962617,0.990826,0.990291,0.971963,0.973451,0.981132,0.936364] precision 0.9669099583469788 [1,0.915966,0.955357,0.93578,0.991304,0.989691,1,0.957265,0.981132,0.943925] precision 0.9575444665822512 [0.966102,0.910714,0.939655,0.934579,0.965517,0.93578,0.990291,0.981982,0.990099,0.962264] predictive_accuracy 0.9681818181818181 predictive_accuracy 0.9563636363636364 predictive_accuracy 0.9636032757051864 predictive_accuracy 0.9681528662420382 predictive_accuracy 0.9654231119199272 predictive_accuracy 0.9617834394904459 predictive_accuracy 0.9472247497725205 predictive_accuracy 0.9654231119199272 predictive_accuracy 0.9663330300272976 predictive_accuracy 0.9572338489535942 prior_entropy 3.3207726565016804 prior_entropy 3.3207726565016804 prior_entropy 3.320615093773185 prior_entropy 3.320615093773185 prior_entropy 3.3207190205874304 prior_entropy 3.3207190205874304 prior_entropy 3.320822852867135 prior_entropy 3.3209290746720725 prior_entropy 3.3209290746720725 prior_entropy 3.3208228528671353 relative_absolute_error 0.03535982364807975 relative_absolute_error 0.048493472431652196 relative_absolute_error 0.04044848851715371 relative_absolute_error 0.0353924274525095 relative_absolute_error 0.03842575682682323 relative_absolute_error 0.042470573334909875 relative_absolute_error 0.05864937039214021 relative_absolute_error 0.038425135249351795 relative_absolute_error 0.03741394747963201 relative_absolute_error 0.04752621393845848 root_mean_prior_squared_error 0.29997330956058954 root_mean_prior_squared_error 0.29997330956058954 root_mean_prior_squared_error 0.29996967128171426 root_mean_prior_squared_error 0.29996967128171426 root_mean_prior_squared_error 0.29997206995355086 root_mean_prior_squared_error 0.29997206995355086 root_mean_prior_squared_error 0.2999744686062071 root_mean_prior_squared_error 0.29997692238045737 root_mean_prior_squared_error 0.29997692238045737 root_mean_prior_squared_error 0.2999744686062071 root_mean_squared_error 0.07977240352174658 root_mean_squared_error 0.09341987329938276 root_mean_squared_error 0.08531907675873372 root_mean_squared_error 0.07980868844676223 root_mean_squared_error 0.08315874948563477 root_mean_squared_error 0.08742603789438722 root_mean_squared_error 0.10273777321655311 root_mean_squared_error 0.08315874948563477 root_mean_squared_error 0.08205726046207304 root_mean_squared_error 0.09248367536641892 root_relative_squared_error 0.2659316711830121 root_relative_squared_error 0.3114272847681921 root_relative_squared_error 0.28442567674985697 root_relative_squared_error 0.2660558585998199 root_relative_squared_error 0.2772216409964817 root_relative_squared_error 0.2914472600996642 root_relative_squared_error 0.3424883914084789 root_relative_squared_error 0.2772171566590228 root_relative_squared_error 0.2735452441171482 root_relative_squared_error 0.3083051560892247 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 unweighted_recall 0.968215596415156 [0.991304,0.938596,0.973913,0.980952,0.973684,0.961905,1,0.95614,0.95283,0.95283] unweighted_recall 0.956539379622148 [0.965217,0.921053,0.913043,0.971429,0.991228,0.952381,0.943396,0.973684,0.971698,0.962264] unweighted_recall 0.9635871878218929 [0.956522,0.947368,0.965217,0.971429,1,0.942857,0.990476,0.956522,0.980952,0.924528] unweighted_recall 0.9682172823362756 [0.991228,0.947826,0.982456,0.952381,0.982609,1,0.971429,0.930435,0.971429,0.952381] unweighted_recall 0.9655938451543132 [0.973684,0.930435,0.95614,0.971698,0.982609,0.971698,0.952381,0.964912,0.961905,0.990476] unweighted_recall 0.9614394065557658 [0.95614,0.956522,0.964912,0.95283,0.982609,0.933962,0.961905,0.991228,0.942857,0.971429] unweighted_recall 0.9469033535438267 [0.982456,0.912281,0.973684,0.971698,0.965217,0.95283,0.990566,0.929825,0.857143,0.933333] unweighted_recall 0.9657880550432687 [0.991228,0.938596,0.938596,0.971698,0.947368,0.962264,0.981132,0.964912,0.981132,0.980952] unweighted_recall 0.9660065257483332 [0.991228,0.95614,0.938596,0.962264,1,0.914286,0.981132,0.982456,0.981132,0.95283] unweighted_recall 0.9572893472401264 [1,0.894737,0.947826,0.952381,0.982456,0.971429,0.962264,0.95614,0.943396,0.962264] usercpu_time_millis 61.52699999999989 usercpu_time_millis 50.534000000000084 usercpu_time_millis 55.471000000000046 usercpu_time_millis 51.08500000000005 usercpu_time_millis 52.357999999999905 usercpu_time_millis 51.34199999999956 usercpu_time_millis 53.035999999999646 usercpu_time_millis 52.89200000000039 usercpu_time_millis 53.03299999999966 usercpu_time_millis 53.32600000000021 usercpu_time_millis_testing 0.8219999999998784 usercpu_time_millis_testing 0.6880000000000219 usercpu_time_millis_testing 0.8729999999999016 usercpu_time_millis_testing 0.6889999999999397 usercpu_time_millis_testing 0.6900000000000794 usercpu_time_millis_testing 0.7829999999997561 usercpu_time_millis_testing 0.7589999999999542 usercpu_time_millis_testing 0.7700000000001594 usercpu_time_millis_testing 0.7409999999996586 usercpu_time_millis_testing 0.8770000000000167 usercpu_time_millis_training 60.70500000000001 usercpu_time_millis_training 49.84600000000006 usercpu_time_millis_training 54.59800000000015 usercpu_time_millis_training 50.39600000000011 usercpu_time_millis_training 51.66799999999982 usercpu_time_millis_training 50.5589999999998 usercpu_time_millis_training 52.27699999999969 usercpu_time_millis_training 52.12200000000023 usercpu_time_millis_training 52.292 usercpu_time_millis_training 52.44900000000019 wall_clock_time_millis 61.814069747924805 wall_clock_time_millis 50.70638656616211 wall_clock_time_millis 55.86695671081543 wall_clock_time_millis 51.20205879211426 wall_clock_time_millis 52.54387855529785 wall_clock_time_millis 51.41091346740723 wall_clock_time_millis 53.20405960083008 wall_clock_time_millis 52.971839904785156 wall_clock_time_millis 53.379058837890625 wall_clock_time_millis 53.53283882141113 wall_clock_time_millis_testing 0.8242130279541016 wall_clock_time_millis_testing 0.6902217864990234 wall_clock_time_millis_testing 0.8757114410400391 wall_clock_time_millis_testing 0.6909370422363281 wall_clock_time_millis_testing 0.6918907165527344 wall_clock_time_millis_testing 0.7848739624023438 wall_clock_time_millis_testing 0.7619857788085938 wall_clock_time_millis_testing 0.7719993591308594 wall_clock_time_millis_testing 0.7429122924804688 wall_clock_time_millis_testing 0.9169578552246094 wall_clock_time_millis_training 60.9898567199707 wall_clock_time_millis_training 50.016164779663086 wall_clock_time_millis_training 54.99124526977539 wall_clock_time_millis_training 50.51112174987793 wall_clock_time_millis_training 51.85198783874512 wall_clock_time_millis_training 50.62603950500488 wall_clock_time_millis_training 52.442073822021484 wall_clock_time_millis_training 52.1998405456543 wall_clock_time_millis_training 52.636146545410156 wall_clock_time_millis_training 52.61588096618652 weighted_recall 0.9681818181818181 [0.991304,0.938596,0.973913,0.980952,0.973684,0.961905,1,0.95614,0.95283,0.95283] weighted_recall 0.9563636363636364 [0.965217,0.921053,0.913043,0.971429,0.991228,0.952381,0.943396,0.973684,0.971698,0.962264] weighted_recall 0.9636032757051866 [0.956522,0.947368,0.965217,0.971429,1,0.942857,0.990476,0.956522,0.980952,0.924528] weighted_recall 0.9681528662420382 [0.991228,0.947826,0.982456,0.952381,0.982609,1,0.971429,0.930435,0.971429,0.952381] weighted_recall 0.9654231119199272 [0.973684,0.930435,0.95614,0.971698,0.982609,0.971698,0.952381,0.964912,0.961905,0.990476] weighted_recall 0.9617834394904459 [0.95614,0.956522,0.964912,0.95283,0.982609,0.933962,0.961905,0.991228,0.942857,0.971429] weighted_recall 0.9472247497725205 [0.982456,0.912281,0.973684,0.971698,0.965217,0.95283,0.990566,0.929825,0.857143,0.933333] weighted_recall 0.9654231119199272 [0.991228,0.938596,0.938596,0.971698,0.947368,0.962264,0.981132,0.964912,0.981132,0.980952] weighted_recall 0.9663330300272975 [0.991228,0.95614,0.938596,0.962264,1,0.914286,0.981132,0.982456,0.981132,0.95283] weighted_recall 0.9572338489535942 [1,0.894737,0.947826,0.952381,0.982456,0.971429,0.962264,0.95614,0.943396,0.962264]