10587867 30355 Tan Tran 32 Supervised Classification 19083 sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree._classes.DecisionTreeClassifier)(18) 8304000 Python_3.8.13. Sklearn_1.0.2. NumPy_1.21.5. SciPy_1.8.1. memory null 19083 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"}}] 19083 verbose false 19083 add_indicator false 19084 copy true 19084 fill_value null 19084 missing_values NaN 19084 strategy "mean" 19084 verbose 0 19084 ccp_alpha 0.0 19085 class_weight null 19085 criterion "gini" 19085 max_depth null 19085 max_features null 19085 max_leaf_nodes null 19085 min_impurity_decrease 0.0 19085 min_samples_leaf 1 19085 min_samples_split 2 19085 min_weight_fraction_leaf 0.0 19085 random_state 58674 19085 splitter "best" 19085 openml-python Sklearn_1.0.2. 32 pendigits https://www.openml.org/data/download/32/dataset_32_pendigits.arff -1 22103025 description https://api.openml.org/data/download/22103025/description.xml -1 22103026 predictions https://api.openml.org/data/download/22103026/predictions.arff area_under_roc_curve 0.9794222122448241 [0.988771,0.962744,0.975995,0.981572,0.988627,0.977558,0.986482,0.978267,0.97791,0.976509] average_cost 0 f_measure 0.9629767166931945 [0.979878,0.932285,0.956332,0.9623,0.978612,0.960152,0.976303,0.962703,0.963351,0.958254] kappa 0.958851537915658 kb_relative_information_score 0.9612865372309526 mean_absolute_error 0.007405385735080114 mean_prior_absolute_error 0.17996797657803554 weighted_recall 0.9629730713245997 [0.979878,0.933508,0.957168,0.967773,0.979895,0.959242,0.975379,0.960595,0.959242,0.957346] number_of_instances 10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055] precision 0.9629919599585837 [0.979878,0.931065,0.955497,0.956888,0.977332,0.961064,0.97723,0.96482,0.967495,0.959164] predictive_accuracy 0.9629730713245997 prior_entropy 3.320771739846944 relative_absolute_error 0.04114835247852598 root_mean_prior_squared_error 0.29997328837006915 root_mean_squared_error 0.08605455092602665 root_relative_squared_error 0.2868740459979337 total_cost 0 unweighted_recall 0.9630024894032914 [0.979878,0.933508,0.957168,0.967773,0.979895,0.959242,0.975379,0.960595,0.959242,0.957346] area_under_roc_curve 0.9848476670210169 [0.99797,0.971149,0.985434,0.982699,0.977563,0.980952,0.999497,0.981442,0.984843,0.987548] area_under_roc_curve 0.976743241138779 [0.982609,0.962706,0.965504,0.982699,0.993586,0.969921,0.975409,0.984814,0.984843,0.964969] area_under_roc_curve 0.9798041808846816 [0.982101,0.967268,0.989272,0.97894,0.998477,0.973172,0.993226,0.972389,0.982193,0.96025] area_under_roc_curve 0.9833089492951386 [0.994599,0.96166,0.984812,0.97894,0.994636,0.992765,0.985714,0.972389,0.988464,0.979946] area_under_roc_curve 0.9787619101190532 [0.979918,0.969848,0.972669,0.988552,0.990796,0.97289,0.971429,0.97941,0.968913,0.993226] area_under_roc_curve 0.9772272682058661 [0.971146,0.966008,0.975532,0.975912,0.983908,0.975408,0.984205,0.993076,0.959893,0.986955] area_under_roc_curve 0.9742327860132785 [0.991228,0.951572,0.975532,0.983331,0.990288,0.977104,0.990751,0.961867,0.955131,0.965158] area_under_roc_curve 0.9792593657034246 [0.998477,0.96473,0.965745,0.988552,0.964405,0.984338,0.988552,0.97604,0.989559,0.974178] area_under_roc_curve 0.9817964236413005 [0.995614,0.969116,0.967268,0.977607,0.998985,0.965661,0.994779,0.984812,0.989559,0.973897] area_under_roc_curve 0.9782384443079561 [0.994091,0.943308,0.978036,0.978437,0.993584,0.983199,0.981132,0.976547,0.975408,0.979118] 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 0.9727445066718877 [0.982906,0.951542,0.973913,0.957746,0.973214,0.980583,0.995305,0.973451,0.976303,0.962963] f_measure 0.958325780800304 [0.982301,0.91453,0.935065,0.957746,0.978355,0.956522,0.966507,0.969432,0.976303,0.947368] f_measure 0.9635294351126061 [0.977974,0.951111,0.974138,0.961905,0.987013,0.947867,0.976526,0.960352,0.953271,0.942308] f_measure 0.9699448382787573 [0.9869,0.934498,0.969432,0.961905,0.987013,0.972222,0.985507,0.960352,0.971698,0.971154] f_measure 0.9618291786053279 [0.960699,0.939655,0.964286,0.971963,0.9869,0.943925,0.970588,0.956522,0.947368,0.976526] f_measure 0.959022429247938 [0.951542,0.93913,0.95614,0.971154,0.961373,0.966507,0.971429,0.974138,0.941748,0.95814] f_measure 0.9535596376943142 [0.99115,0.9163,0.95614,0.962617,0.982609,0.944444,0.954545,0.938053,0.936585,0.951456] f_measure 0.9626580815992271 [0.987013,0.930435,0.938596,0.971963,0.959276,0.971698,0.971963,0.960352,0.981132,0.956938] f_measure 0.9672546262096012 [0.995595,0.935065,0.951111,0.948837,0.991304,0.956098,0.990566,0.969432,0.981132,0.95283] f_measure 0.960823065642274 [0.982609,0.910714,0.944681,0.957346,0.978355,0.962264,0.980769,0.964602,0.966507,0.962264] kappa 0.9696920436103941 kappa 0.9535247269577708 kappa 0.9595525384554515 kappa 0.9666297388862412 kappa 0.9575289539763584 kappa 0.95449342360729 kappa 0.9484305778546553 kappa 0.9585426106958022 kappa 0.9635969161718796 kappa 0.9565172984909827 kb_relative_information_score 0.9715434271015165 kb_relative_information_score 0.9562105377005031 kb_relative_information_score 0.9618784121176902 kb_relative_information_score 0.9686443456708657 kb_relative_information_score 0.9600354093937306 kb_relative_information_score 0.9571362762179979 kb_relative_information_score 0.9514772313290071 kb_relative_information_score 0.9611453546256474 kb_relative_information_score 0.9656933563364827 kb_relative_information_score 0.9590965780375836 mean_absolute_error 0.005454545454545457 mean_absolute_error 0.008363636363636363 mean_absolute_error 0.007279344858962696 mean_absolute_error 0.006005459508644225 mean_absolute_error 0.00764331210191083 mean_absolute_error 0.00818926296633303 mean_absolute_error 0.009281164695177431 mean_absolute_error 0.007461328480436763 mean_absolute_error 0.006551410373066427 mean_absolute_error 0.007825295723384897 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 0.9730847952109251 [0.966387,0.955752,0.973913,0.944444,0.990909,1,0.990654,0.982143,0.980952,0.945455] precision 0.95885539881859 [1,0.891667,0.931034,0.944444,0.965812,0.970588,0.980583,0.965217,0.980952,0.961165] precision 0.9637832402671439 [0.991071,0.963964,0.965812,0.961905,0.974359,0.943396,0.962963,0.973214,0.93578,0.960784] precision 0.9701050083951109 [0.982609,0.938596,0.965217,0.961905,0.982759,0.954545,1,0.973214,0.962617,0.980583] precision 0.9622101158895997 [0.956522,0.931624,0.981818,0.962963,0.991228,0.935185,1,0.948276,0.951923,0.962963] precision 0.959363133734152 [0.955752,0.93913,0.95614,0.990196,0.949153,0.980583,0.971429,0.957627,0.960396,0.936364] precision 0.9540577614875704 [1,0.920354,0.95614,0.953704,0.982609,0.927273,0.921053,0.946429,0.96,0.970297] precision 0.9629126144764026 [0.974359,0.922414,0.938596,0.962963,0.990654,0.971698,0.962963,0.964602,0.981132,0.961538] precision 0.9675018990358838 [1,0.923077,0.963964,0.93578,0.982759,0.98,0.990566,0.965217,0.981132,0.95283] precision 0.9611166360774125 [0.974138,0.927273,0.925,0.95283,0.965812,0.953271,1,0.973214,0.980583,0.962264] predictive_accuracy 0.9727272727272727 predictive_accuracy 0.9581818181818181 predictive_accuracy 0.9636032757051864 predictive_accuracy 0.9699727024567788 predictive_accuracy 0.9617834394904459 predictive_accuracy 0.9590536851683349 predictive_accuracy 0.9535941765241128 predictive_accuracy 0.9626933575978163 predictive_accuracy 0.9672429481346678 predictive_accuracy 0.9608735213830755 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 0.04647291108033335 relative_absolute_error 0.04044848851715371 relative_absolute_error 0.033370003026651815 relative_absolute_error 0.042470573334909875 relative_absolute_error 0.045504185715974865 relative_absolute_error 0.05157099810343366 relative_absolute_error 0.041458698558511135 relative_absolute_error 0.036402759709912226 relative_absolute_error 0.04348142977348329 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 0.09145291883606757 root_mean_squared_error 0.08531907675873372 root_mean_squared_error 0.07749489988795537 root_mean_squared_error 0.08742603789438722 root_mean_squared_error 0.09049454661101425 root_mean_squared_error 0.09633880160754249 root_mean_squared_error 0.08637898170525492 root_mean_squared_error 0.08094078312610045 root_mean_squared_error 0.08846070157637739 root_relative_squared_error 0.24620488634733756 root_relative_squared_error 0.30487018651769626 root_relative_squared_error 0.28442567674985697 root_relative_squared_error 0.258342450277837 root_relative_squared_error 0.2914472600996642 root_relative_squared_error 0.3016765748392071 root_relative_squared_error 0.3211566706165641 root_relative_squared_error 0.28795208984676973 root_relative_squared_error 0.2698233666903355 root_relative_squared_error 0.29489410211275213 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 0.9728497618122418 [1,0.947368,0.973913,0.971429,0.95614,0.961905,1,0.964912,0.971698,0.981132] unweighted_recall 0.9580632878340232 [0.965217,0.938596,0.93913,0.971429,0.991228,0.942857,0.95283,0.973684,0.971698,0.933962] unweighted_recall 0.9634967443218383 [0.965217,0.938596,0.982609,0.961905,1,0.952381,0.990476,0.947826,0.971429,0.924528] unweighted_recall 0.9701234012019384 [0.991228,0.930435,0.973684,0.961905,0.991304,0.990566,0.971429,0.947826,0.980952,0.961905] unweighted_recall 0.9617780505406255 [0.964912,0.947826,0.947368,0.981132,0.982609,0.95283,0.942857,0.964912,0.942857,0.990476] unweighted_recall 0.9589631173915099 [0.947368,0.93913,0.95614,0.95283,0.973913,0.95283,0.971429,0.991228,0.92381,0.980952] unweighted_recall 0.9535457799543978 [0.982456,0.912281,0.95614,0.971698,0.982609,0.962264,0.990566,0.929825,0.914286,0.933333] unweighted_recall 0.9630633186740436 [1,0.938596,0.938596,0.981132,0.929825,0.971698,0.981132,0.95614,0.981132,0.952381] unweighted_recall 0.9671002979145978 [0.991228,0.947368,0.938596,0.962264,1,0.933333,0.990566,0.973684,0.981132,0.95283] unweighted_recall 0.9609242548537053 [0.991228,0.894737,0.965217,0.961905,0.991228,0.971429,0.962264,0.95614,0.95283,0.962264] usercpu_time_millis 52.82578500000001 usercpu_time_millis 53.009263999999945 usercpu_time_millis 53.72476500000012 usercpu_time_millis 50.69950400000023 usercpu_time_millis 52.4619340000001 usercpu_time_millis 52.05734400000006 usercpu_time_millis 52.89281400000023 usercpu_time_millis 52.53139400000029 usercpu_time_millis 52.060514999999974 usercpu_time_millis 51.75560400000023 usercpu_time_millis_testing 0.813951000000035 usercpu_time_millis_testing 0.9921699999999589 usercpu_time_millis_testing 0.9416600000000663 usercpu_time_millis_testing 0.8411409999999897 usercpu_time_millis_testing 0.7860100000001147 usercpu_time_millis_testing 0.8877799999997826 usercpu_time_millis_testing 0.7862400000000491 usercpu_time_millis_testing 0.8116900000003646 usercpu_time_millis_testing 0.7717710000001432 usercpu_time_millis_testing 0.9333310000001482 usercpu_time_millis_training 52.01183399999998 usercpu_time_millis_training 52.017093999999986 usercpu_time_millis_training 52.78310500000005 usercpu_time_millis_training 49.85836300000024 usercpu_time_millis_training 51.67592399999998 usercpu_time_millis_training 51.16956400000028 usercpu_time_millis_training 52.10657400000018 usercpu_time_millis_training 51.71970399999992 usercpu_time_millis_training 51.28874399999983 usercpu_time_millis_training 50.82227300000008 wall_clock_time_millis 53.08365821838379 wall_clock_time_millis 53.22551727294922 wall_clock_time_millis 53.999900817871094 wall_clock_time_millis 50.80366134643555 wall_clock_time_millis 52.451133728027344 wall_clock_time_millis 52.06441879272461 wall_clock_time_millis 52.89578437805176 wall_clock_time_millis 52.5362491607666 wall_clock_time_millis 52.063703536987305 wall_clock_time_millis 51.76997184753418 wall_clock_time_millis_testing 0.81634521484375 wall_clock_time_millis_testing 0.9949207305908203 wall_clock_time_millis_testing 0.9717941284179688 wall_clock_time_millis_testing 0.8440017700195312 wall_clock_time_millis_testing 0.7889270782470703 wall_clock_time_millis_testing 0.8902549743652344 wall_clock_time_millis_testing 0.7884502410888672 wall_clock_time_millis_testing 0.8144378662109375 wall_clock_time_millis_testing 0.7741451263427734 wall_clock_time_millis_testing 0.9362697601318359 wall_clock_time_millis_training 52.26731300354004 wall_clock_time_millis_training 52.2305965423584 wall_clock_time_millis_training 53.028106689453125 wall_clock_time_millis_training 49.959659576416016 wall_clock_time_millis_training 51.66220664978027 wall_clock_time_millis_training 51.174163818359375 wall_clock_time_millis_training 52.10733413696289 wall_clock_time_millis_training 51.721811294555664 wall_clock_time_millis_training 51.28955841064453 wall_clock_time_millis_training 50.833702087402344 weighted_recall 0.9727272727272728 [1,0.947368,0.973913,0.971429,0.95614,0.961905,1,0.964912,0.971698,0.981132] weighted_recall 0.9581818181818181 [0.965217,0.938596,0.93913,0.971429,0.991228,0.942857,0.95283,0.973684,0.971698,0.933962] weighted_recall 0.9636032757051866 [0.965217,0.938596,0.982609,0.961905,1,0.952381,0.990476,0.947826,0.971429,0.924528] weighted_recall 0.9699727024567789 [0.991228,0.930435,0.973684,0.961905,0.991304,0.990566,0.971429,0.947826,0.980952,0.961905] weighted_recall 0.9617834394904459 [0.964912,0.947826,0.947368,0.981132,0.982609,0.95283,0.942857,0.964912,0.942857,0.990476] weighted_recall 0.9590536851683349 [0.947368,0.93913,0.95614,0.95283,0.973913,0.95283,0.971429,0.991228,0.92381,0.980952] weighted_recall 0.9535941765241128 [0.982456,0.912281,0.95614,0.971698,0.982609,0.962264,0.990566,0.929825,0.914286,0.933333] weighted_recall 0.9626933575978162 [1,0.938596,0.938596,0.981132,0.929825,0.971698,0.981132,0.95614,0.981132,0.952381] weighted_recall 0.9672429481346679 [0.991228,0.947368,0.938596,0.962264,1,0.933333,0.990566,0.973684,0.981132,0.95283] weighted_recall 0.9608735213830755 [0.991228,0.894737,0.965217,0.961905,0.991228,0.971429,0.962264,0.95614,0.95283,0.962264]