10560606 27395 Jake Currant 32 Supervised Classification 18818 sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree._classes.DecisionTreeClassifier)(13) 8276994 Python_3.9.1. Sklearn_0.24.2. NumPy_1.21.2. SciPy_1.7.1. memory null 18818 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"}}] 18818 verbose false 18818 add_indicator false 18819 copy true 18819 fill_value null 18819 missing_values NaN 18819 strategy "mean" 18819 verbose 0 18819 ccp_alpha 0.0 18820 class_weight null 18820 criterion "gini" 18820 max_depth null 18820 max_features null 18820 max_leaf_nodes null 18820 min_impurity_decrease 0.0 18820 min_impurity_split null 18820 min_samples_leaf 1 18820 min_samples_split 2 18820 min_weight_fraction_leaf 0.0 18820 random_state 58469 18820 splitter "best" 18820 openml-python Sklearn_0.24.2. 32 pendigits https://www.openml.org/data/download/32/dataset_32_pendigits.arff -1 22047302 description https://api.openml.org/data/download/22047302/description.xml -1 22047303 predictions https://api.openml.org/data/download/22047303/predictions.arff area_under_roc_curve 0.9797263106685263 [0.989494,0.96488,0.978078,0.980976,0.988292,0.976388,0.986431,0.9796,0.97791,0.975058] average_cost 0 f_measure 0.9635339113580363 [0.979485,0.934205,0.957771,0.964505,0.979021,0.960952,0.975841,0.96743,0.963351,0.952741] kappa 0.9594578821560514 kb_relative_information_score 0.9618296104859553 mean_absolute_error 0.007296215429403257 mean_prior_absolute_error 0.17996797657803554 weighted_recall 0.963518922852984 [0.981627,0.937883,0.961538,0.965877,0.979021,0.956398,0.975379,0.962347,0.959242,0.95545] number_of_instances 10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055] precision 0.9635709885561177 [0.977352,0.930556,0.954033,0.963138,0.979021,0.96555,0.976303,0.972566,0.967495,0.950047] predictive_accuracy 0.963518922852984 prior_entropy 3.320771739846944 relative_absolute_error 0.040541742859677925 root_mean_prior_squared_error 0.29997328837006915 root_mean_squared_error 0.08541788705770739 root_relative_squared_error 0.2847516441274918 total_cost 0 unweighted_recall 0.9634761874395175 [0.981627,0.937883,0.961538,0.965877,0.979021,0.956398,0.975379,0.962347,0.959242,0.95545] area_under_roc_curve 0.9858485923120573 [0.997462,0.976042,0.984926,0.987964,0.986335,0.98045,0.999497,0.981442,0.980629,0.983837] area_under_roc_curve 0.9782584172952821 [0.982609,0.958827,0.964489,0.988466,0.990214,0.974683,0.975409,0.989707,0.98434,0.974403] area_under_roc_curve 0.9757468408514839 [0.982609,0.970131,0.97572,0.978437,0.992568,0.95939,0.992723,0.971881,0.982696,0.950313] area_under_roc_curve 0.9833094465551497 [0.994599,0.966008,0.989705,0.975184,0.990288,0.998489,0.984708,0.976228,0.977934,0.979946] area_under_roc_curve 0.9833212365246972 [0.985319,0.973688,0.981949,0.983835,0.995144,0.982828,0.979946,0.981949,0.979443,0.988967] area_under_roc_curve 0.9772518056369509 [0.971146,0.967533,0.979918,0.980629,0.988764,0.970188,0.984708,0.984812,0.964152,0.980181] area_under_roc_curve 0.9752341984020492 [0.990213,0.954943,0.987675,0.981132,0.986448,0.97289,0.991758,0.967775,0.955634,0.962643] area_under_roc_curve 0.9782482268175176 [0.99797,0.960344,0.961359,0.982828,0.964405,0.975912,0.988552,0.980426,0.993772,0.97894] area_under_roc_curve 0.9812883028640452 [0.995106,0.96473,0.971146,0.978111,0.999492,0.970926,0.990566,0.984812,0.989055,0.968173] area_under_roc_curve 0.9787567983345549 [0.99797,0.956465,0.983908,0.973172,0.989198,0.977934,0.976415,0.977055,0.971195,0.983331] 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 0.9745456631765501 [0.978723,0.960352,0.969697,0.967136,0.982301,0.975845,0.995305,0.973451,0.976077,0.967136] f_measure 0.9610687715939379 [0.982301,0.913793,0.927039,0.971698,0.982456,0.961538,0.966507,0.978166,0.971698,0.957346] f_measure 0.9562235245130342 [0.982301,0.943231,0.956522,0.957346,0.969957,0.937198,0.971963,0.95614,0.957746,0.927536] f_measure 0.9699493941071429 [0.9869,0.93913,0.978166,0.966184,0.982609,0.986047,0.976077,0.960699,0.95283,0.971154] f_measure 0.9700623019576444 [0.973684,0.940171,0.977778,0.967136,0.991304,0.95814,0.971154,0.977778,0.966507,0.976303] f_measure 0.9591172254875384 [0.951542,0.951542,0.960699,0.976077,0.969957,0.956938,0.976077,0.969432,0.942308,0.93578] f_measure 0.9554717678597667 [0.982456,0.913043,0.961373,0.980769,0.982456,0.943925,0.963303,0.955357,0.941176,0.92891] f_measure 0.9608260731940553 [0.982759,0.925764,0.933921,0.95814,0.959276,0.971154,0.971963,0.964912,0.981308,0.961905] f_measure 0.9663848009293148 [0.991228,0.930435,0.951542,0.953271,0.995633,0.965854,0.990476,0.969432,0.976526,0.938967] f_measure 0.9617835212302895 [0.982759,0.92511,0.961373,0.947867,0.973913,0.95283,0.975845,0.968889,0.966184,0.962617] kappa 0.9717117166763103 kappa 0.9565566008708887 kappa 0.9514615723646013 kappa 0.9666291554830891 kappa 0.966630352972785 kappa 0.9544953915715031 kappa 0.9504509934000293 kappa 0.9565203390267151 kappa 0.9625854439959405 kappa 0.9575282896298655 kb_relative_information_score 0.9733894179141196 kb_relative_information_score 0.9591356154110237 kb_relative_information_score 0.95423298965249 kb_relative_information_score 0.9685883916266727 kb_relative_information_score 0.9685903200370325 kb_relative_information_score 0.9571350543970962 kb_relative_information_score 0.9532970514409363 kb_relative_information_score 0.9592415171023938 kb_relative_information_score 0.9647270976763747 kb_relative_information_score 0.9599507188611973 mean_absolute_error 0.005090909090909093 mean_absolute_error 0.00781818181818182 mean_absolute_error 0.00873521383075523 mean_absolute_error 0.006005459508644225 mean_absolute_error 0.006005459508644225 mean_absolute_error 0.00818926296633303 mean_absolute_error 0.008917197452229297 mean_absolute_error 0.007825295723384897 mean_absolute_error 0.006733393994540495 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 0.974800842105316 [0.958333,0.964602,0.965517,0.953704,0.991071,0.990196,0.990654,0.982143,0.990291,0.962617] precision 0.9614611546985004 [1,0.898305,0.915254,0.962617,0.982456,0.970874,0.980583,0.973913,0.971698,0.961905] precision 0.9565467816978083 [1,0.93913,0.956522,0.95283,0.94958,0.95098,0.954128,0.964602,0.944444,0.950495] precision 0.9700511552607117 [0.982609,0.93913,0.973913,0.980392,0.982609,0.972477,0.980769,0.964912,0.943925,0.980583] precision 0.9703472325096344 [0.973684,0.92437,0.990991,0.962617,0.991304,0.944954,0.980583,0.990991,0.971154,0.971698] precision 0.9595995695437544 [0.955752,0.964286,0.956522,0.990291,0.957627,0.970874,0.980769,0.965217,0.951456,0.902655] precision 0.9561012428946881 [0.982456,0.905172,0.941176,1,0.99115,0.935185,0.9375,0.972727,0.969697,0.924528] precision 0.9611847481205965 [0.966102,0.921739,0.938053,0.944954,0.990654,0.990196,0.962963,0.964912,0.972222,0.961905] precision 0.9666141691920732 [0.991228,0.922414,0.955752,0.944444,0.991304,0.99,1,0.965217,0.971963,0.934579] precision 0.9621875264282288 [0.966102,0.929204,0.949153,0.943396,0.965517,0.943925,1,0.981982,0.990099,0.953704] predictive_accuracy 0.9745454545454545 predictive_accuracy 0.9609090909090909 predictive_accuracy 0.9563239308462238 predictive_accuracy 0.9699727024567788 predictive_accuracy 0.9699727024567788 predictive_accuracy 0.9590536851683349 predictive_accuracy 0.9554140127388535 predictive_accuracy 0.9608735213830755 predictive_accuracy 0.9663330300272976 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 0.028287858918463794 relative_absolute_error 0.043442069053355105 relative_absolute_error 0.04853818622058442 relative_absolute_error 0.033370003026651815 relative_absolute_error 0.03336973619171491 relative_absolute_error 0.045504185715974865 relative_absolute_error 0.04954860602094607 relative_absolute_error 0.0434810740979507 relative_absolute_error 0.03741394747963201 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 0.07135060680126759 root_mean_squared_error 0.08842048302391149 root_mean_squared_error 0.0934623658525464 root_mean_squared_error 0.07749489988795537 root_mean_squared_error 0.07749489988795537 root_mean_squared_error 0.09049454661101425 root_mean_squared_error 0.09443091364711716 root_mean_squared_error 0.08846070157637739 root_mean_squared_error 0.08205726046207304 root_mean_squared_error 0.08742603789438722 root_relative_squared_error 0.23785651765413476 root_relative_squared_error 0.2947611677633341 root_relative_squared_error 0.3115727181791386 root_relative_squared_error 0.258342450277837 root_relative_squared_error 0.25834038448964614 root_relative_squared_error 0.3016765748392071 root_relative_squared_error 0.3147965028019828 root_relative_squared_error 0.29489168991534515 root_relative_squared_error 0.2735452441171482 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 0.974546929259161 [1,0.95614,0.973913,0.980952,0.973684,0.961905,1,0.964912,0.962264,0.971698] unweighted_recall 0.9609776492091588 [0.965217,0.929825,0.93913,0.980952,0.982456,0.952381,0.95283,0.982456,0.971698,0.95283] unweighted_recall 0.9561441133596913 [0.965217,0.947368,0.956522,0.961905,0.991228,0.92381,0.990476,0.947826,0.971429,0.90566] unweighted_recall 0.969956412771058 [0.991228,0.93913,0.982456,0.952381,0.982609,1,0.971429,0.956522,0.961905,0.961905] unweighted_recall 0.9699492990063346 [0.973684,0.956522,0.964912,0.971698,0.991304,0.971698,0.961905,0.964912,0.961905,0.980952] unweighted_recall 0.9589554896264451 [0.947368,0.93913,0.964912,0.962264,0.982609,0.943396,0.971429,0.973684,0.933333,0.971429] unweighted_recall 0.9551753871964571 [0.982456,0.921053,0.982456,0.962264,0.973913,0.95283,0.990566,0.938596,0.914286,0.933333] unweighted_recall 0.9612517141911383 [1,0.929825,0.929825,0.971698,0.929825,0.95283,0.981132,0.964912,0.990566,0.961905] unweighted_recall 0.9661658864141487 [0.991228,0.938596,0.947368,0.962264,1,0.942857,0.981132,0.973684,0.981132,0.943396] unweighted_recall 0.9615772408872878 [1,0.921053,0.973913,0.952381,0.982456,0.961905,0.95283,0.95614,0.943396,0.971698] usercpu_time_millis 109.375 usercpu_time_millis 93.75 usercpu_time_millis 109.375 usercpu_time_millis 78.125 usercpu_time_millis 93.75 usercpu_time_millis 78.125 usercpu_time_millis 78.125 usercpu_time_millis 109.375 usercpu_time_millis 93.75 usercpu_time_millis 93.75 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_testing 0 usercpu_time_millis_training 109.375 usercpu_time_millis_training 93.75 usercpu_time_millis_training 93.75 usercpu_time_millis_training 78.125 usercpu_time_millis_training 93.75 usercpu_time_millis_training 78.125 usercpu_time_millis_training 78.125 usercpu_time_millis_training 109.375 usercpu_time_millis_training 93.75 usercpu_time_millis_training 93.75 wall_clock_time_millis 99.99966621398926 wall_clock_time_millis 85.00075340270996 wall_clock_time_millis 114.00055885314941 wall_clock_time_millis 84.0001106262207 wall_clock_time_millis 98.00171852111816 wall_clock_time_millis 88.00029754638672 wall_clock_time_millis 87.00037002563477 wall_clock_time_millis 126.9996166229248 wall_clock_time_millis 87.99934387207031 wall_clock_time_millis 100.99935531616211 wall_clock_time_millis_testing 1.9998550415039062 wall_clock_time_millis_testing 2.001047134399414 wall_clock_time_millis_testing 5.998373031616211 wall_clock_time_millis_testing 1.9996166229248047 wall_clock_time_millis_testing 4.999876022338867 wall_clock_time_millis_testing 2.001047134399414 wall_clock_time_millis_testing 1.9993782043457031 wall_clock_time_millis_testing 1.9996166229248047 wall_clock_time_millis_testing 2.000093460083008 wall_clock_time_millis_testing 2.999544143676758 wall_clock_time_millis_training 97.99981117248535 wall_clock_time_millis_training 82.99970626831055 wall_clock_time_millis_training 108.0021858215332 wall_clock_time_millis_training 82.0004940032959 wall_clock_time_millis_training 93.0018424987793 wall_clock_time_millis_training 85.9992504119873 wall_clock_time_millis_training 85.00099182128906 wall_clock_time_millis_training 125 wall_clock_time_millis_training 85.9992504119873 wall_clock_time_millis_training 97.99981117248535 weighted_recall 0.9745454545454545 [1,0.95614,0.973913,0.980952,0.973684,0.961905,1,0.964912,0.962264,0.971698] weighted_recall 0.9609090909090909 [0.965217,0.929825,0.93913,0.980952,0.982456,0.952381,0.95283,0.982456,0.971698,0.95283] weighted_recall 0.9563239308462238 [0.965217,0.947368,0.956522,0.961905,0.991228,0.92381,0.990476,0.947826,0.971429,0.90566] weighted_recall 0.9699727024567789 [0.991228,0.93913,0.982456,0.952381,0.982609,1,0.971429,0.956522,0.961905,0.961905] weighted_recall 0.9699727024567789 [0.973684,0.956522,0.964912,0.971698,0.991304,0.971698,0.961905,0.964912,0.961905,0.980952] weighted_recall 0.9590536851683349 [0.947368,0.93913,0.964912,0.962264,0.982609,0.943396,0.971429,0.973684,0.933333,0.971429] weighted_recall 0.9554140127388535 [0.982456,0.921053,0.982456,0.962264,0.973913,0.95283,0.990566,0.938596,0.914286,0.933333] weighted_recall 0.9608735213830755 [1,0.929825,0.929825,0.971698,0.929825,0.95283,0.981132,0.964912,0.990566,0.961905] weighted_recall 0.9663330300272975 [0.991228,0.938596,0.947368,0.962264,1,0.942857,0.981132,0.973684,0.981132,0.943396] weighted_recall 0.9617834394904459 [1,0.921053,0.973913,0.952381,0.982456,0.961905,0.95283,0.95614,0.943396,0.971698]