10559737 869 Pieter Gijsbers 32 Supervised Classification 18717 sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree._classes.DecisionTreeClassifier)(7) 8276254 memory null 18717 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"}}] 18717 verbose false 18717 add_indicator false 18718 copy true 18718 fill_value null 18718 missing_values NaN 18718 strategy "mean" 18718 verbose 0 18718 ccp_alpha 0.0 18719 class_weight null 18719 criterion "gini" 18719 max_depth null 18719 max_features null 18719 max_leaf_nodes null 18719 min_impurity_decrease 0.0 18719 min_impurity_split null 18719 min_samples_leaf 1 18719 min_samples_split 2 18719 min_weight_fraction_leaf 0.0 18719 presort "deprecated" 18719 random_state 46567 18719 splitter "best" 18719 openml-python Sklearn_0.23.2. 32 pendigits https://www.openml.org/data/download/32/dataset_32_pendigits.arff -1 22044712 description https://api.openml.org/data/download/22044712/description.xml -1 22044713 predictions https://api.openml.org/data/download/22044713/predictions.arff area_under_roc_curve 0.979121147924288 [0.988435,0.962947,0.977438,0.9815,0.985131,0.975884,0.985807,0.98012,0.977336,0.976732] average_cost 0 f_measure 0.9624352938318178 [0.980289,0.933917,0.955652,0.965452,0.975033,0.956398,0.973971,0.965366,0.961941,0.956481] kappa 0.9582450269187228 kb_relative_information_score 0.9607099326774309 mean_absolute_error 0.007514556040756972 mean_prior_absolute_error 0.17996797657803554 weighted_recall 0.9624272197962155 [0.979003,0.933508,0.960664,0.966825,0.972902,0.956398,0.974432,0.964098,0.958294,0.958294] number_of_instances 10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055] precision 0.9624542400934529 [0.981579,0.934326,0.950692,0.964083,0.977173,0.956398,0.97351,0.966637,0.965616,0.954674] predictive_accuracy 0.9624272197962155 prior_entropy 3.320771739846944 relative_absolute_error 0.04175496209737403 root_mean_prior_squared_error 0.29997328837006915 root_mean_squared_error 0.08668653898245662 root_relative_squared_error 0.2889808604408594 total_cost 0 unweighted_recall 0.9624417687976685 [0.979003,0.933508,0.960664,0.966825,0.972902,0.956398,0.974432,0.964098,0.958294,0.958294] area_under_roc_curve 0.9848400100011969 [0.993622,0.966763,0.989782,0.987964,0.977056,0.979947,1,0.985321,0.975409,0.993271] area_under_roc_curve 0.9782594469387168 [0.982609,0.953934,0.969852,0.983704,0.994093,0.974683,0.974906,0.980935,0.993271,0.975409] area_under_roc_curve 0.9777670737589781 [0.977753,0.967268,0.984416,0.97894,0.993076,0.968913,0.992723,0.97572,0.983199,0.95503] area_under_roc_curve 0.9807887467792299 [0.995106,0.952457,0.98869,0.97894,0.990288,0.988048,0.984708,0.976736,0.978437,0.974681] area_under_roc_curve 0.9797643540558792 [0.980426,0.96934,0.963897,0.984338,0.995144,0.978614,0.975184,0.983289,0.974178,0.993729] area_under_roc_curve 0.9757478818917356 [0.975532,0.971881,0.974517,0.980125,0.972897,0.974401,0.983702,0.984812,0.959893,0.979678] area_under_roc_curve 0.9722074225250439 [0.991228,0.952587,0.986152,0.980629,0.972389,0.970373,0.991758,0.96676,0.949363,0.959893] area_under_roc_curve 0.9807873110116216 [0.998985,0.969116,0.957481,0.988048,0.968791,0.974905,0.989055,0.981441,0.994779,0.987458] area_under_roc_curve 0.9812847198876133 [0.995106,0.973502,0.971654,0.978614,0.998477,0.965661,0.984842,0.984812,0.989559,0.96918] area_under_roc_curve 0.9797664082242449 [0.994091,0.952587,0.987747,0.973675,0.989198,0.983199,0.981132,0.981441,0.974905,0.979118] 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 0.9726803104068245 [0.978541,0.946903,0.978355,0.967136,0.968889,0.971154,1,0.973684,0.966507,0.976744] f_measure 0.9610374999633685 [0.982301,0.905172,0.939655,0.966825,0.982609,0.961538,0.961905,0.969163,0.976744,0.966507] f_measure 0.9598659287164771 [0.973451,0.951111,0.965517,0.961905,0.974138,0.947368,0.971963,0.956522,0.962264,0.932692] f_measure 0.9653786719020073 [0.991228,0.921053,0.969697,0.961905,0.982609,0.967442,0.976077,0.964912,0.957346,0.961538] f_measure 0.9636172677269825 [0.964912,0.935622,0.954955,0.971698,0.991304,0.957746,0.966184,0.956897,0.956938,0.981132] f_measure 0.9564251184760577 [0.95614,0.95614,0.947826,0.971429,0.964602,0.957346,0.966825,0.969432,0.941748,0.931507] f_measure 0.9499933481729383 [0.99115,0.924444,0.949153,0.976077,0.960352,0.922374,0.963303,0.946903,0.92233,0.941748] f_measure 0.9653946195490912 [0.991304,0.935065,0.933333,0.967442,0.963964,0.961905,0.976526,0.973451,0.990566,0.962617] f_measure 0.9663190738861661 [0.991228,0.939655,0.955752,0.957746,0.987013,0.956098,0.976303,0.969432,0.981132,0.947867] f_measure 0.9635673521458786 [0.982609,0.924444,0.961702,0.952381,0.973913,0.962264,0.980769,0.973451,0.961905,0.962264] kappa 0.9696916539080778 kappa 0.9565569200785099 kappa 0.9555066050921364 kappa 0.9615737094316568 kappa 0.9595510869955273 kappa 0.9514634927294608 kappa 0.944384893890113 kappa 0.9615771034056366 kappa 0.9625846177628061 kappa 0.9595509381219527 kb_relative_information_score 0.9715434274073611 kb_relative_information_score 0.9591624976455548 kb_relative_information_score 0.958070071418456 kb_relative_information_score 0.9638408853665322 kb_relative_information_score 0.9619683836897791 kb_relative_information_score 0.9543219210407493 kb_relative_information_score 0.9476125674543033 kb_relative_information_score 0.9640167016757811 kb_relative_information_score 0.964671177739463 kb_relative_information_score 0.9618830221336423 mean_absolute_error 0.005454545454545457 mean_absolute_error 0.00781818181818182 mean_absolute_error 0.008007279344858963 mean_absolute_error 0.006915377616014563 mean_absolute_error 0.007279344858962696 mean_absolute_error 0.00873521383075523 mean_absolute_error 0.010009099181073696 mean_absolute_error 0.006915377616014563 mean_absolute_error 0.006733393994540495 mean_absolute_error 0.007279344858962696 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 0.9728510095174976 [0.966102,0.955357,0.974138,0.953704,0.981982,0.980583,1,0.973684,0.980583,0.963303] precision 0.9614329418166666 [1,0.889831,0.931624,0.962264,0.974138,0.970874,0.971154,0.973451,0.963303,0.980583] precision 0.9600942732436376 [0.990991,0.963964,0.957265,0.961905,0.957627,0.951923,0.954128,0.956522,0.953271,0.95098] precision 0.9654602512798206 [0.991228,0.929204,0.957265,0.961905,0.982609,0.954128,0.980769,0.973451,0.95283,0.970874] precision 0.9639313096035019 [0.964912,0.923729,0.981481,0.971698,0.991304,0.953271,0.980392,0.940678,0.961538,0.971963] precision 0.957017957582882 [0.95614,0.964602,0.939655,0.980769,0.981982,0.961905,0.962264,0.965217,0.960396,0.894737] precision 0.9508554164448514 [1,0.936937,0.918033,0.990291,0.973214,0.893805,0.9375,0.955357,0.940594,0.960396] precision 0.9657324506156331 [0.982759,0.923077,0.945946,0.954128,0.990741,0.971154,0.971963,0.982143,0.990566,0.944954] precision 0.9665381475570962 [0.991228,0.923729,0.964286,0.953271,0.974359,0.98,0.980952,0.965217,0.981132,0.952381] precision 0.9638063862449214 [0.974138,0.936937,0.941667,0.952381,0.965517,0.953271,1,0.982143,0.971154,0.962264] predictive_accuracy 0.9727272727272727 predictive_accuracy 0.9609090909090909 predictive_accuracy 0.9599636032757052 predictive_accuracy 0.9654231119199272 predictive_accuracy 0.9636032757051864 predictive_accuracy 0.9563239308462238 predictive_accuracy 0.9499545040946314 predictive_accuracy 0.9654231119199272 predictive_accuracy 0.9663330300272976 predictive_accuracy 0.9636032757051864 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 0.030308420269782633 relative_absolute_error 0.043442069053355105 relative_absolute_error 0.04449333736886906 relative_absolute_error 0.038426064091296036 relative_absolute_error 0.04044816508086655 relative_absolute_error 0.04853779809703984 relative_absolute_error 0.055615782268408825 relative_absolute_error 0.038425135249351795 relative_absolute_error 0.03741394747963201 relative_absolute_error 0.04044784164975192 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 0.07385489458759965 root_mean_squared_error 0.08842048302391149 root_mean_squared_error 0.08948340262226824 root_mean_squared_error 0.08315874948563477 root_mean_squared_error 0.08531907675873372 root_mean_squared_error 0.0934623658525464 root_mean_squared_error 0.10004548556068733 root_mean_squared_error 0.08315874948563477 root_mean_squared_error 0.08205726046207304 root_mean_squared_error 0.08531907675873372 root_relative_squared_error 0.24620488634733756 root_relative_squared_error 0.2947611677633341 root_relative_squared_error 0.2983081664220333 root_relative_squared_error 0.27722385776639685 root_relative_squared_error 0.2844234023919125 root_relative_squared_error 0.31157022674483853 root_relative_squared_error 0.3335133354032957 root_relative_squared_error 0.2772171566590228 root_relative_squared_error 0.2735452441171482 root_relative_squared_error 0.2844211280885266 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 0.9728587465382079 [0.991304,0.938596,0.982609,0.980952,0.95614,0.961905,1,0.973684,0.95283,0.990566] unweighted_recall 0.9610272399620874 [0.965217,0.921053,0.947826,0.971429,0.991228,0.952381,0.95283,0.964912,0.990566,0.95283] unweighted_recall 0.9598542089431946 [0.956522,0.938596,0.973913,0.961905,0.991228,0.942857,0.990476,0.956522,0.971429,0.915094] unweighted_recall 0.9654609246660539 [0.991228,0.913043,0.982456,0.961905,0.982609,0.981132,0.971429,0.956522,0.961905,0.952381] unweighted_recall 0.9636751846803225 [0.964912,0.947826,0.929825,0.971698,0.991304,0.962264,0.952381,0.973684,0.952381,0.990476] unweighted_recall 0.9563378092483055 [0.95614,0.947826,0.95614,0.962264,0.947826,0.95283,0.971429,0.973684,0.92381,0.971429] unweighted_recall 0.9497847366570651 [0.982456,0.912281,0.982456,0.962264,0.947826,0.95283,0.990566,0.938596,0.904762,0.92381] unweighted_recall 0.9658542582872274 [1,0.947368,0.921053,0.981132,0.938596,0.95283,0.981132,0.964912,0.990566,0.980952] unweighted_recall 0.966024495200265 [0.991228,0.95614,0.947368,0.962264,1,0.933333,0.971698,0.973684,0.981132,0.943396] unweighted_recall 0.9634653903010191 [0.991228,0.912281,0.982609,0.952381,0.982456,0.971429,0.962264,0.964912,0.95283,0.962264] usercpu_time_millis 78.125 usercpu_time_millis 78.125 usercpu_time_millis 78.125 usercpu_time_millis 78.125 usercpu_time_millis 78.125 usercpu_time_millis 78.125 usercpu_time_millis 62.5 usercpu_time_millis 62.5 usercpu_time_millis 62.5 usercpu_time_millis 93.75 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_training 78.125 usercpu_time_millis_training 62.5 usercpu_time_millis_training 78.125 usercpu_time_millis_training 78.125 usercpu_time_millis_training 78.125 usercpu_time_millis_training 78.125 usercpu_time_millis_training 62.5 usercpu_time_millis_training 62.5 usercpu_time_millis_training 62.5 usercpu_time_millis_training 78.125 wall_clock_time_millis 74.99933242797852 wall_clock_time_millis 77.99983024597168 wall_clock_time_millis 76.0047435760498 wall_clock_time_millis 74.00155067443848 wall_clock_time_millis 87.99862861633301 wall_clock_time_millis 80.99794387817383 wall_clock_time_millis 72.9677677154541 wall_clock_time_millis 72.0357894897461 wall_clock_time_millis 70.00565528869629 wall_clock_time_millis 79.96845245361328 wall_clock_time_millis_testing 2.0020008087158203 wall_clock_time_millis_testing 2.003908157348633 wall_clock_time_millis_testing 2.0275115966796875 wall_clock_time_millis_testing 2.0046234130859375 wall_clock_time_millis_testing 2.002239227294922 wall_clock_time_millis_testing 2.001047134399414 wall_clock_time_millis_testing 1.0020732879638672 wall_clock_time_millis_testing 2.005338668823242 wall_clock_time_millis_testing 2.000093460083008 wall_clock_time_millis_testing 2.002716064453125 wall_clock_time_millis_training 72.9973316192627 wall_clock_time_millis_training 75.99592208862305 wall_clock_time_millis_training 73.97723197937012 wall_clock_time_millis_training 71.99692726135254 wall_clock_time_millis_training 85.99638938903809 wall_clock_time_millis_training 78.99689674377441 wall_clock_time_millis_training 71.96569442749023 wall_clock_time_millis_training 70.03045082092285 wall_clock_time_millis_training 68.00556182861328 wall_clock_time_millis_training 77.96573638916016 weighted_recall 0.9727272727272728 [0.991304,0.938596,0.982609,0.980952,0.95614,0.961905,1,0.973684,0.95283,0.990566] weighted_recall 0.9609090909090909 [0.965217,0.921053,0.947826,0.971429,0.991228,0.952381,0.95283,0.964912,0.990566,0.95283] weighted_recall 0.9599636032757052 [0.956522,0.938596,0.973913,0.961905,0.991228,0.942857,0.990476,0.956522,0.971429,0.915094] weighted_recall 0.9654231119199272 [0.991228,0.913043,0.982456,0.961905,0.982609,0.981132,0.971429,0.956522,0.961905,0.952381] weighted_recall 0.9636032757051866 [0.964912,0.947826,0.929825,0.971698,0.991304,0.962264,0.952381,0.973684,0.952381,0.990476] weighted_recall 0.9563239308462238 [0.95614,0.947826,0.95614,0.962264,0.947826,0.95283,0.971429,0.973684,0.92381,0.971429] weighted_recall 0.9499545040946314 [0.982456,0.912281,0.982456,0.962264,0.947826,0.95283,0.990566,0.938596,0.904762,0.92381] weighted_recall 0.9654231119199272 [1,0.947368,0.921053,0.981132,0.938596,0.95283,0.981132,0.964912,0.990566,0.980952] weighted_recall 0.9663330300272975 [0.991228,0.95614,0.947368,0.962264,1,0.933333,0.971698,0.973684,0.981132,0.943396] weighted_recall 0.9636032757051866 [0.991228,0.912281,0.982609,0.952381,0.982456,0.971429,0.962264,0.964912,0.95283,0.962264]