10591688 32759 Steve De Picker 32 Supervised Classification 19194 sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree._classes.DecisionTreeClassifier)(21) 8304462 Python_3.9.7. Sklearn_1.1.3. NumPy_1.23.4. SciPy_1.9.3. memory null 19194 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"}}] 19194 verbose false 19194 add_indicator false 19195 copy true 19195 fill_value null 19195 missing_values NaN 19195 strategy "mean" 19195 verbose "deprecated" 19195 ccp_alpha 0.0 19196 class_weight null 19196 criterion "gini" 19196 max_depth null 19196 max_features null 19196 max_leaf_nodes null 19196 min_impurity_decrease 0.0 19196 min_samples_leaf 1 19196 min_samples_split 2 19196 min_weight_fraction_leaf 0.0 19196 random_state 19279 19196 splitter "best" 19196 openml-python Sklearn_1.1.3. 32 pendigits https://www.openml.org/data/download/32/dataset_32_pendigits.arff -1 22111058 description https://api.openml.org/data/download/22111058/description.xml -1 22111059 predictions https://api.openml.org/data/download/22111059/predictions.arff area_under_roc_curve 0.979471609285726 [0.989056,0.965521,0.977875,0.979454,0.988292,0.974966,0.985635,0.978807,0.978334,0.976581] average_cost 0 f_measure 0.9630770047173264 [0.979039,0.9363,0.956106,0.962121,0.979021,0.959466,0.976258,0.964004,0.963386,0.955125] kappa 0.9589521727607099 kb_relative_information_score 0.961349380271923 mean_absolute_error 0.007387190684133972 mean_prior_absolute_error 0.17996797657803554 weighted_recall 0.9630640465793304 [0.980752,0.938758,0.961538,0.963033,0.979021,0.953555,0.973485,0.961471,0.96019,0.958294] number_of_instances 10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055] precision 0.9631124809338772 [0.977332,0.933856,0.950735,0.961211,0.979021,0.965451,0.979048,0.966549,0.966603,0.951977] predictive_accuracy 0.9630640465793304 prior_entropy 3.320771739846944 relative_absolute_error 0.04104725087538464 root_mean_prior_squared_error 0.29997328837006915 root_mean_squared_error 0.0859487677871764 root_relative_squared_error 0.2865214041363032 total_cost 0 unweighted_recall 0.9630096543661523 [0.980752,0.938758,0.961538,0.963033,0.979021,0.953555,0.973485,0.961471,0.96019,0.958294] area_under_roc_curve 0.9838380457908427 [0.997462,0.972163,0.989782,0.983202,0.977563,0.979445,0.998994,0.984814,0.971698,0.982831] area_under_roc_curve 0.9747235209602311 [0.982609,0.956799,0.952968,0.982699,0.993586,0.969921,0.979623,0.980428,0.989057,0.960252] area_under_roc_curve 0.9787879114180342 [0.977753,0.972669,0.987747,0.982696,0.99797,0.964655,0.992723,0.968041,0.982193,0.960754] area_under_roc_curve 0.9817891551557821 [0.994599,0.969848,0.985319,0.974178,0.98594,0.992765,0.985211,0.971372,0.97894,0.979946] area_under_roc_curve 0.9802668562964284 [0.984812,0.974196,0.96676,0.984338,0.994128,0.978614,0.970423,0.980933,0.97894,0.98947] area_under_roc_curve 0.9777660701230605 [0.975024,0.976228,0.980933,0.975408,0.981592,0.966478,0.984205,0.983796,0.96841,0.984943] area_under_roc_curve 0.9737302467446968 [0.986334,0.946678,0.983796,0.979118,0.986448,0.978614,0.993269,0.962374,0.953622,0.966901] area_under_roc_curve 0.9822805137396784 [0.998477,0.960344,0.965237,0.984842,0.973177,0.980125,0.994276,0.985319,0.994779,0.988464] area_under_roc_curve 0.9827998900102863 [0.995106,0.978903,0.983796,0.974401,0.998477,0.960396,0.985849,0.985319,0.989559,0.973897] area_under_roc_curve 0.9787460585211541 [0.998477,0.947186,0.982383,0.973675,0.994091,0.978437,0.971698,0.985827,0.975912,0.978614] 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 0.9708831579120647 [0.978723,0.96,0.978355,0.962264,0.973214,0.966507,0.990654,0.969432,0.970874,0.95814] f_measure 0.9546994925891925 [0.982301,0.898305,0.92511,0.957746,0.978355,0.956522,0.966825,0.964912,0.976526,0.942308] f_measure 0.9617084245251923 [0.973451,0.964286,0.961702,0.957746,0.982759,0.94686,0.971963,0.955752,0.953271,0.94686] f_measure 0.9672592430210285 [0.9869,0.939655,0.973684,0.956938,0.978166,0.972222,0.980769,0.951965,0.961905,0.971154] f_measure 0.9645051476065015 [0.969432,0.944206,0.946903,0.971698,0.982759,0.957746,0.961165,0.969163,0.961905,0.980952] f_measure 0.9600741158124158 [0.951965,0.960699,0.969163,0.966507,0.973684,0.961165,0.971429,0.961039,0.942857,0.940639] f_measure 0.9526615082965068 [0.982301,0.907489,0.961039,0.962264,0.982456,0.957746,0.976744,0.942222,0.923077,0.929577] f_measure 0.9681581424470436 [0.987013,0.925764,0.934498,0.976303,0.96861,0.971429,0.985915,0.973684,0.990566,0.971698] f_measure 0.9690376216498552 [0.991228,0.952381,0.961039,0.957346,0.987013,0.946341,0.985646,0.973684,0.981132,0.95283] f_measure 0.9617718728225131 [0.987013,0.911504,0.949153,0.952381,0.982609,0.957346,0.970874,0.977974,0.971154,0.957746] kappa 0.967670800579354 kappa 0.9494846979965632 kappa 0.9575298136880275 kappa 0.9635953753502303 kappa 0.9605615840512779 kappa 0.955507219173595 kappa 0.947419993246706 kappa 0.9646088619078551 kappa 0.9656175381288675 kappa 0.9575271562849375 kb_relative_information_score 0.9695563119305336 kb_relative_information_score 0.9524895086873727 kb_relative_information_score 0.9599734780295752 kb_relative_information_score 0.9657458188423724 kb_relative_information_score 0.9628781982115443 kb_relative_information_score 0.9580738849571376 kb_relative_information_score 0.950538735416028 kb_relative_information_score 0.9668583660170511 kb_relative_information_score 0.9674566165548617 kb_relative_information_score 0.9599232311115994 mean_absolute_error 0.005818181818181821 mean_absolute_error 0.009090909090909087 mean_absolute_error 0.00764331210191083 mean_absolute_error 0.006551410373066427 mean_absolute_error 0.00709736123748863 mean_absolute_error 0.008007279344858963 mean_absolute_error 0.009463148316651496 mean_absolute_error 0.00636942675159236 mean_absolute_error 0.006187443130118293 mean_absolute_error 0.00764331210191083 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 0.9712893815775862 [0.958333,0.972973,0.974138,0.953271,0.990909,0.971154,0.981481,0.965217,1,0.944954] precision 0.9553502536477181 [1,0.868852,0.9375,0.944444,0.965812,0.970588,0.971429,0.964912,0.971963,0.960784] precision 0.9622850411273605 [0.990991,0.981818,0.941667,0.944444,0.966102,0.960784,0.954128,0.972973,0.93578,0.970297] precision 0.967404771745678 [0.982609,0.931624,0.973684,0.961538,0.982456,0.954545,0.990291,0.95614,0.961905,0.980583] precision 0.9646416207050086 [0.965217,0.932203,0.955357,0.971698,0.974359,0.953271,0.980198,0.973451,0.961905,0.980952] precision 0.9607453631213683 [0.947826,0.964912,0.973451,0.980583,0.982301,0.99,0.971429,0.948718,0.942857,0.903509] precision 0.9528349022480193 [0.991071,0.911504,0.948718,0.962264,0.99115,0.953271,0.963303,0.954955,0.932039,0.916667] precision 0.9683483406648432 [0.974359,0.921739,0.930435,0.980952,0.990826,0.980769,0.981308,0.973684,0.990566,0.962617] precision 0.9692649328227125 [0.991228,0.940171,0.948718,0.961905,0.974359,0.97,1,0.973684,0.981132,0.95283] precision 0.9621939926322475 [0.974359,0.919643,0.92562,0.952381,0.974138,0.95283,1,0.982301,0.990196,0.953271] predictive_accuracy 0.9709090909090909 predictive_accuracy 0.9545454545454546 predictive_accuracy 0.9617834394904459 predictive_accuracy 0.9672429481346678 predictive_accuracy 0.9645131938125568 predictive_accuracy 0.9599636032757052 predictive_accuracy 0.9526842584167424 predictive_accuracy 0.9681528662420382 predictive_accuracy 0.9690627843494086 predictive_accuracy 0.9617834394904459 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 0.03232898162110148 relative_absolute_error 0.050514033782971014 relative_absolute_error 0.04247091294301139 relative_absolute_error 0.036403639665438345 relative_absolute_error 0.0394369609538449 relative_absolute_error 0.044492981588953186 relative_absolute_error 0.05258219414467744 relative_absolute_error 0.035391571940192434 relative_absolute_error 0.03438038417047266 relative_absolute_error 0.04247023373223951 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 0.07627700713964741 root_mean_squared_error 0.09534625892455921 root_mean_squared_error 0.08742603789438722 root_mean_squared_error 0.08094078312610045 root_mean_squared_error 0.0842458381018827 root_mean_squared_error 0.08948340262226824 root_mean_squared_error 0.09727871461245516 root_mean_squared_error 0.07980868844676223 root_mean_squared_error 0.078660302123233 root_mean_squared_error 0.08742603789438722 root_relative_squared_error 0.25427931322083425 root_relative_squared_error 0.3178491415260426 root_relative_squared_error 0.2914495906230524 root_relative_squared_error 0.2698298890693037 root_relative_squared_error 0.2808456071091143 root_relative_squared_error 0.29830578105529715 root_relative_squared_error 0.324289980625512 root_relative_squared_error 0.266049427447428 root_relative_squared_error 0.26222117854609167 root_relative_squared_error 0.291444929632182 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 0.9708229351064288 [1,0.947368,0.982609,0.971429,0.95614,0.961905,1,0.973684,0.943396,0.971698] unweighted_recall 0.9546436024433522 [0.965217,0.929825,0.913043,0.971429,0.991228,0.942857,0.962264,0.964912,0.981132,0.924528] unweighted_recall 0.9616824259171309 [0.956522,0.947368,0.982609,0.971429,1,0.933333,0.990476,0.93913,0.971429,0.924528] unweighted_recall 0.9672662583447955 [0.991228,0.947826,0.973684,0.952381,0.973913,0.990566,0.971429,0.947826,0.961905,0.961905] unweighted_recall 0.964469561927789 [0.973684,0.956522,0.938596,0.971698,0.991304,0.962264,0.942857,0.964912,0.961905,0.980952] unweighted_recall 0.9598506520608329 [0.95614,0.956522,0.964912,0.95283,0.965217,0.933962,0.971429,0.973684,0.942857,0.980952] unweighted_recall 0.9526851994629725 [0.973684,0.903509,0.973684,0.962264,0.973913,0.962264,0.990566,0.929825,0.914286,0.942857] unweighted_recall 0.9685520404785549 [1,0.929825,0.938596,0.971698,0.947368,0.962264,0.990566,0.973684,0.990566,0.980952] unweighted_recall 0.9685808861777085 [0.991228,0.964912,0.973684,0.95283,1,0.92381,0.971698,0.973684,0.981132,0.95283] unweighted_recall 0.9615110376433289 [1,0.903509,0.973913,0.952381,0.991228,0.961905,0.943396,0.973684,0.95283,0.962264] 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 62.5 usercpu_time_millis 78.125 usercpu_time_millis 78.125 usercpu_time_millis 62.5 usercpu_time_millis 62.5 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 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_training 62.5 usercpu_time_millis_training 78.125 usercpu_time_millis_training 78.125 usercpu_time_millis_training 62.5 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 62.5 usercpu_time_millis_training 62.5 wall_clock_time_millis 70.77860832214355 wall_clock_time_millis 71.8388557434082 wall_clock_time_millis 71.51913642883301 wall_clock_time_millis 67.78836250305176 wall_clock_time_millis 71.49457931518555 wall_clock_time_millis 67.81935691833496 wall_clock_time_millis 90.5919075012207 wall_clock_time_millis 70.78003883361816 wall_clock_time_millis 70.81151008605957 wall_clock_time_millis 67.84915924072266 wall_clock_time_millis_testing 1.9953250885009766 wall_clock_time_millis_testing 1.0275840759277344 wall_clock_time_millis_testing 1.9953250885009766 wall_clock_time_millis_testing 1.9955635070800781 wall_clock_time_millis_testing 0.9980201721191406 wall_clock_time_millis_testing 1.9946098327636719 wall_clock_time_millis_testing 2.0265579223632812 wall_clock_time_millis_testing 1.9953250885009766 wall_clock_time_millis_testing 1.995086669921875 wall_clock_time_millis_testing 0.9975433349609375 wall_clock_time_millis_training 68.78328323364258 wall_clock_time_millis_training 70.81127166748047 wall_clock_time_millis_training 69.52381134033203 wall_clock_time_millis_training 65.79279899597168 wall_clock_time_millis_training 70.4965591430664 wall_clock_time_millis_training 65.82474708557129 wall_clock_time_millis_training 88.56534957885742 wall_clock_time_millis_training 68.78471374511719 wall_clock_time_millis_training 68.8164234161377 wall_clock_time_millis_training 66.85161590576172 weighted_recall 0.9709090909090909 [1,0.947368,0.982609,0.971429,0.95614,0.961905,1,0.973684,0.943396,0.971698] weighted_recall 0.9545454545454546 [0.965217,0.929825,0.913043,0.971429,0.991228,0.942857,0.962264,0.964912,0.981132,0.924528] weighted_recall 0.9617834394904459 [0.956522,0.947368,0.982609,0.971429,1,0.933333,0.990476,0.93913,0.971429,0.924528] weighted_recall 0.9672429481346679 [0.991228,0.947826,0.973684,0.952381,0.973913,0.990566,0.971429,0.947826,0.961905,0.961905] weighted_recall 0.9645131938125568 [0.973684,0.956522,0.938596,0.971698,0.991304,0.962264,0.942857,0.964912,0.961905,0.980952] weighted_recall 0.9599636032757052 [0.95614,0.956522,0.964912,0.95283,0.965217,0.933962,0.971429,0.973684,0.942857,0.980952] weighted_recall 0.9526842584167425 [0.973684,0.903509,0.973684,0.962264,0.973913,0.962264,0.990566,0.929825,0.914286,0.942857] weighted_recall 0.9681528662420382 [1,0.929825,0.938596,0.971698,0.947368,0.962264,0.990566,0.973684,0.990566,0.980952] weighted_recall 0.9690627843494085 [0.991228,0.964912,0.973684,0.95283,1,0.92381,0.971698,0.973684,0.981132,0.95283] weighted_recall 0.9617834394904459 [1,0.903509,0.973913,0.952381,0.991228,0.961905,0.943396,0.973684,0.95283,0.962264]