10558635 8323 Heinrich Peters 32 Supervised Classification 18591 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1) 8275573 copy true 17405 with_mean true 17405 with_std true 17405 add_indicator false 17407 copy true 17407 fill_value null 17407 missing_values NaN 17407 strategy "median" 17407 verbose 0 17407 C 1.0 17462 class_weight null 17462 dual false 17462 fit_intercept true 17462 intercept_scaling 1 17462 l1_ratio null 17462 max_iter 100 17462 multi_class "warn" 17462 n_jobs null 17462 penalty "l2" 17462 random_state 1 17462 solver "liblinear" 17462 tol 0.0001 17462 verbose 0 17462 warm_start false 17462 memory null 18591 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "logisticregression", "step_name": "logisticregression"}}] 18591 verbose false 18591 openml-python Sklearn_0.21.2. 32 pendigits https://www.openml.org/data/download/32/dataset_32_pendigits.arff -1 22042234 description https://api.openml.org/data/download/22042234/description.xml -1 22042235 predictions https://api.openml.org/data/download/22042235/predictions.arff area_under_roc_curve 0.9934754098193778 [0.988981,0.988328,0.998671,0.997852,0.999406,0.985574,0.999105,0.9934,0.990568,0.992735] average_cost 0 f_measure 0.9303526308607069 [0.938577,0.877812,0.965041,0.969725,0.978686,0.854831,0.985822,0.94591,0.894938,0.887541] kappa 0.9227613613845712 kb_relative_information_score 0.8916274556405682 mean_absolute_error 0.0340771735908037 mean_prior_absolute_error 0.17996797657803554 weighted_recall 0.9304949053857351 [0.929134,0.870516,0.977273,0.98673,0.983392,0.851185,0.987689,0.926445,0.888152,0.901422] number_of_instances 10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055] precision 0.9304757106496816 [0.948214,0.885231,0.953112,0.953297,0.974026,0.858509,0.983962,0.96621,0.901829,0.874081] predictive_accuracy 0.9304949053857351 prior_entropy 3.320771739846944 relative_absolute_error 0.1893513181553584 root_mean_prior_squared_error 0.29997328837006915 root_mean_squared_error 0.11191156647588929 root_relative_squared_error 0.3730717727700706 total_cost 0 unweighted_recall 0.9301936758632248 [0.929134,0.870516,0.977273,0.98673,0.983392,0.851185,0.987689,0.926445,0.888152,0.901422] area_under_roc_curve 0.9947008874546792 [0.991145,0.991895,0.999285,0.999675,0.999573,0.987566,0.999962,0.993746,0.992056,0.991914] area_under_roc_curve 0.9900780574314957 [0.970355,0.987038,0.995639,0.997444,0.999582,0.977497,0.999962,0.990258,0.989873,0.993783] area_under_roc_curve 0.993627520226145 [0.992939,0.993232,0.999417,0.999032,0.999599,0.980981,0.999981,0.99248,0.992373,0.985464] area_under_roc_curve 0.9944279965509999 [0.992288,0.987619,0.998379,0.997499,0.999558,0.994062,0.991913,0.995705,0.99085,0.996292] area_under_roc_curve 0.993713899751552 [0.988058,0.993779,0.999421,0.999477,0.999514,0.986737,0.999981,0.995173,0.984488,0.989834] area_under_roc_curve 0.9932693894193373 [0.985662,0.987893,0.999795,0.999743,0.999903,0.984875,0.999818,0.989304,0.991674,0.994357] area_under_roc_curve 0.9942924008560151 [0.989652,0.989491,0.999448,0.999325,0.999903,0.986889,0.999876,0.994675,0.988924,0.99451] area_under_roc_curve 0.9947458948466114 [0.997863,0.983044,0.999252,0.999971,0.998068,0.984961,0.999848,0.998299,0.991345,0.994596] area_under_roc_curve 0.9926851070823286 [0.993178,0.99056,0.998691,0.987868,0.999991,0.978902,0.999924,0.99235,0.991896,0.992504] area_under_roc_curve 0.9938118114893052 [0.991166,0.980337,0.998065,0.999233,0.998539,0.993111,0.999981,0.992662,0.991564,0.994091] 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 0.9307856390812519 [0.925764,0.891775,0.970213,0.971963,0.977974,0.872549,0.980952,0.951111,0.889952,0.87037] f_measure 0.9152909268578711 [0.9375,0.837838,0.932773,0.962963,0.982456,0.807512,0.985915,0.926606,0.907407,0.867925] f_measure 0.9336249165287889 [0.92511,0.89083,0.969957,0.95814,0.986784,0.886792,0.990566,0.945455,0.86385,0.914286] f_measure 0.9381600976638204 [0.943231,0.866953,0.964912,0.985782,0.982609,0.897196,0.985782,0.938053,0.908213,0.909091] f_measure 0.9298572765485129 [0.939655,0.898678,0.970213,0.971698,0.978166,0.84507,0.995215,0.950673,0.878049,0.86385] f_measure 0.9291489278464081 [0.945946,0.878261,0.977974,0.981132,0.978723,0.837209,0.971154,0.921053,0.90566,0.889952] f_measure 0.9367905633240742 [0.951542,0.889908,0.978355,0.967742,0.982759,0.861244,0.985915,0.951111,0.884615,0.908257] f_measure 0.9386309584737889 [0.951965,0.896861,0.982609,0.986047,0.973684,0.825243,0.986047,0.973684,0.932692,0.87037] f_measure 0.9222689539200252 [0.924444,0.877637,0.956522,0.958525,0.991304,0.821782,0.985915,0.93578,0.868293,0.895928] f_measure 0.9287343734806098 [0.940639,0.847926,0.947826,0.954128,0.95279,0.892019,0.990566,0.964602,0.909953,0.885845] kappa 0.9232163883413821 kappa 0.9060539634115543 kappa 0.9261873217407306 kappa 0.9312364682640825 kappa 0.9221356991758382 kappa 0.9211262888447644 kappa 0.930232493950741 kappa 0.9322524966095426 kappa 0.9140493023837827 kappa 0.9211375359826897 kb_relative_information_score 0.8947065684174409 kb_relative_information_score 0.8812146274414299 kb_relative_information_score 0.891055559347267 kb_relative_information_score 0.9010853576768781 kb_relative_information_score 0.8915422881680481 kb_relative_information_score 0.890258386309846 kb_relative_information_score 0.8963561032225317 kb_relative_information_score 0.896296452555008 kb_relative_information_score 0.8833354164276909 kb_relative_information_score 0.8904309853150043 mean_absolute_error 0.03316905512034325 mean_absolute_error 0.03616016429527809 mean_absolute_error 0.03444790258218087 mean_absolute_error 0.03188919657163456 mean_absolute_error 0.03397751791479923 mean_absolute_error 0.03380955693803026 mean_absolute_error 0.03344596596774239 mean_absolute_error 0.03363788927447624 mean_absolute_error 0.035874797620487134 mean_absolute_error 0.03435862058554607 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 0.9311470387330565 [0.929825,0.880342,0.95,0.954128,0.982301,0.89899,0.990385,0.963964,0.902913,0.854545] precision 0.9162573219649843 [0.963303,0.861111,0.902439,0.936937,0.982456,0.796296,0.981308,0.971154,0.890909,0.867925] precision 0.9343382424113961 [0.9375,0.886957,0.957627,0.936364,0.99115,0.878505,0.981308,0.990476,0.851852,0.923077] precision 0.9383539747652055 [0.93913,0.855932,0.964912,0.981132,0.982609,0.888889,0.981132,0.954955,0.921569,0.913462] precision 0.9302914928945958 [0.923729,0.910714,0.942149,0.971698,0.982456,0.841121,1,0.972477,0.9,0.851852] precision 0.9295795328715639 [0.972222,0.878261,0.982301,0.981132,0.958333,0.825688,0.980583,0.921053,0.897196,0.894231] precision 0.9372304755476569 [0.955752,0.932692,0.965812,0.945946,0.974359,0.873786,0.981308,0.963964,0.893204,0.876106] precision 0.9387434323171089 [0.947826,0.917431,0.974138,0.972477,0.973684,0.85,0.972477,0.973684,0.95098,0.846847] precision 0.9234496351139584 [0.936937,0.845528,0.948276,0.936937,0.982759,0.85567,0.981308,0.980769,0.89899,0.86087] precision 0.9297908030770661 [0.980952,0.893204,0.947826,0.920354,0.932773,0.87963,0.990566,0.973214,0.914286,0.858407] predictive_accuracy 0.9309090909090909 predictive_accuracy 0.9154545454545455 predictive_accuracy 0.9335759781619655 predictive_accuracy 0.9381255686988171 predictive_accuracy 0.9299363057324841 predictive_accuracy 0.9290263876251137 predictive_accuracy 0.9372156505914468 predictive_accuracy 0.9390354868061874 predictive_accuracy 0.9226569608735214 predictive_accuracy 0.9290263876251137 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 0.18430530479880727 relative_absolute_error 0.20092553368904068 relative_absolute_error 0.19141359820585924 relative_absolute_error 0.17719586396032128 relative_absolute_error 0.18879834384597916 relative_absolute_error 0.1878650574792631 relative_absolute_error 0.18584325395994652 relative_absolute_error 0.1869081511732949 relative_absolute_error 0.19933748048957436 relative_absolute_error 0.19091443964726657 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 0.11007311413754019 root_mean_squared_error 0.120494602186663 root_mean_squared_error 0.11213981491481437 root_mean_squared_error 0.1062005760659741 root_mean_squared_error 0.11202629526900826 root_mean_squared_error 0.11222371265228268 root_mean_squared_error 0.10909723959722724 root_mean_squared_error 0.10812087109966999 root_mean_squared_error 0.11656066103229056 root_mean_squared_error 0.11148467459678782 root_relative_squared_error 0.36694302669387086 root_relative_squared_error 0.4016844110669957 root_relative_squared_error 0.37383717639073955 root_relative_squared_error 0.3540377119200048 root_relative_squared_error 0.37345575301845585 root_relative_squared_error 0.37411387223370474 root_relative_squared_error 0.36368841689805664 root_relative_squared_error 0.3604306299353972 root_relative_squared_error 0.38856542732463256 root_relative_squared_error 0.371647210893604 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 0.9302777246644093 [0.921739,0.903509,0.991304,0.990476,0.973684,0.847619,0.971698,0.938596,0.877358,0.886792] unweighted_recall 0.9155014073329344 [0.913043,0.815789,0.965217,0.990476,0.982456,0.819048,0.990566,0.885965,0.924528,0.867925] unweighted_recall 0.9335234312195583 [0.913043,0.894737,0.982609,0.980952,0.982456,0.895238,1,0.904348,0.87619,0.90566] unweighted_recall 0.9381502155717432 [0.947368,0.878261,0.964912,0.990476,0.982609,0.90566,0.990476,0.921739,0.895238,0.904762] unweighted_recall 0.9291398718288748 [0.95614,0.886957,1,0.971698,0.973913,0.849057,0.990476,0.929825,0.857143,0.87619] unweighted_recall 0.9286143784399474 [0.921053,0.878261,0.973684,0.981132,1,0.849057,0.961905,0.921053,0.914286,0.885714] unweighted_recall 0.9368610821557587 [0.947368,0.850877,0.991228,0.990566,0.991304,0.849057,0.990566,0.938596,0.87619,0.942857] unweighted_recall 0.938414905187497 [0.95614,0.877193,0.991228,1,0.973684,0.801887,1,0.973684,0.915094,0.895238] unweighted_recall 0.9219969735659905 [0.912281,0.912281,0.964912,0.981132,1,0.790476,0.990566,0.894737,0.839623,0.933962] unweighted_recall 0.929473581410458 [0.903509,0.807018,0.947826,0.990476,0.973684,0.904762,0.990566,0.95614,0.90566,0.915094] usercpu_time_millis 615.9399999996822 usercpu_time_millis 898.6299999996845 usercpu_time_millis 896.9139999994695 usercpu_time_millis 886.8539999998575 usercpu_time_millis 838.2619999997587 usercpu_time_millis 898.0540000002293 usercpu_time_millis 881.8599999999606 usercpu_time_millis 863.5659999999916 usercpu_time_millis 903.4959999999046 usercpu_time_millis 880.402000000231 usercpu_time_millis_testing 1.4099999998506973 usercpu_time_millis_testing 1.467999999931635 usercpu_time_millis_testing 1.5359999997599516 usercpu_time_millis_testing 1.4519999999720312 usercpu_time_millis_testing 1.4080000000831205 usercpu_time_millis_testing 1.4439999999922293 usercpu_time_millis_testing 1.4240000000427244 usercpu_time_millis_testing 1.5260000000125729 usercpu_time_millis_testing 1.4059999998607964 usercpu_time_millis_testing 1.4220000002751476 usercpu_time_millis_training 614.5299999998315 usercpu_time_millis_training 897.1619999997529 usercpu_time_millis_training 895.3779999997096 usercpu_time_millis_training 885.4019999998854 usercpu_time_millis_training 836.8539999996756 usercpu_time_millis_training 896.610000000237 usercpu_time_millis_training 880.4359999999178 usercpu_time_millis_training 862.039999999979 usercpu_time_millis_training 902.0900000000438 usercpu_time_millis_training 878.9799999999559 wall_clock_time_millis 309.68379974365234 wall_clock_time_millis 330.13439178466797 wall_clock_time_millis 323.90618324279785 wall_clock_time_millis 325.38509368896484 wall_clock_time_millis 330.39069175720215 wall_clock_time_millis 325.1688480377197 wall_clock_time_millis 321.4991092681885 wall_clock_time_millis 316.73717498779297 wall_clock_time_millis 335.48808097839355 wall_clock_time_millis 319.91124153137207 wall_clock_time_millis_testing 0.6346702575683594 wall_clock_time_millis_testing 0.6651878356933594 wall_clock_time_millis_testing 0.7011890411376953 wall_clock_time_millis_testing 0.6511211395263672 wall_clock_time_millis_testing 0.637054443359375 wall_clock_time_millis_testing 0.6499290466308594 wall_clock_time_millis_testing 0.6430149078369141 wall_clock_time_millis_testing 0.6961822509765625 wall_clock_time_millis_testing 0.6380081176757812 wall_clock_time_millis_testing 0.6461143493652344 wall_clock_time_millis_training 309.049129486084 wall_clock_time_millis_training 329.4692039489746 wall_clock_time_millis_training 323.20499420166016 wall_clock_time_millis_training 324.7339725494385 wall_clock_time_millis_training 329.7536373138428 wall_clock_time_millis_training 324.51891899108887 wall_clock_time_millis_training 320.85609436035156 wall_clock_time_millis_training 316.0409927368164 wall_clock_time_millis_training 334.8500728607178 wall_clock_time_millis_training 319.26512718200684 weighted_recall 0.9309090909090909 [0.921739,0.903509,0.991304,0.990476,0.973684,0.847619,0.971698,0.938596,0.877358,0.886792] weighted_recall 0.9154545454545454 [0.913043,0.815789,0.965217,0.990476,0.982456,0.819048,0.990566,0.885965,0.924528,0.867925] weighted_recall 0.9335759781619655 [0.913043,0.894737,0.982609,0.980952,0.982456,0.895238,1,0.904348,0.87619,0.90566] weighted_recall 0.9381255686988171 [0.947368,0.878261,0.964912,0.990476,0.982609,0.90566,0.990476,0.921739,0.895238,0.904762] weighted_recall 0.9299363057324841 [0.95614,0.886957,1,0.971698,0.973913,0.849057,0.990476,0.929825,0.857143,0.87619] weighted_recall 0.9290263876251137 [0.921053,0.878261,0.973684,0.981132,1,0.849057,0.961905,0.921053,0.914286,0.885714] weighted_recall 0.9372156505914467 [0.947368,0.850877,0.991228,0.990566,0.991304,0.849057,0.990566,0.938596,0.87619,0.942857] weighted_recall 0.9390354868061874 [0.95614,0.877193,0.991228,1,0.973684,0.801887,1,0.973684,0.915094,0.895238] weighted_recall 0.9226569608735213 [0.912281,0.912281,0.964912,0.981132,1,0.790476,0.990566,0.894737,0.839623,0.933962] weighted_recall 0.9290263876251137 [0.903509,0.807018,0.947826,0.990476,0.973684,0.904762,0.990566,0.95614,0.90566,0.915094]