10558636 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) 8275912 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 224.662208931 17462 class_weight null 17462 dual true 17462 fit_intercept true 17462 intercept_scaling 1 17462 l1_ratio null 17462 max_iter 785 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 22042236 description https://api.openml.org/data/download/22042236/description.xml -1 22042237 predictions https://api.openml.org/data/download/22042237/predictions.arff area_under_roc_curve 0.9937349913859489 [0.99057,0.990326,0.998767,0.997828,0.999635,0.98626,0.999013,0.994113,0.99011,0.990317] average_cost 0 f_measure 0.9337929175963554 [0.939568,0.880591,0.971776,0.974166,0.982548,0.859449,0.990521,0.947791,0.896912,0.890038] kappa 0.9263995292616692 kb_relative_information_score 0.9062647631242126 mean_absolute_error 0.028556618409146386 mean_prior_absolute_error 0.17996797657803554 weighted_recall 0.9337700145560408 [0.931759,0.887139,0.978147,0.982938,0.984266,0.85782,0.989583,0.929947,0.894787,0.89763] number_of_instances 10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055] precision 0.9339501226827323 [0.947509,0.874138,0.965487,0.965549,0.980836,0.861085,0.991461,0.966333,0.899048,0.882572] predictive_accuracy 0.9337700145560407 prior_entropy 3.320771739846944 relative_absolute_error 0.1586761097842538 root_mean_prior_squared_error 0.29997328837006915 root_mean_squared_error 0.1088095077917187 root_relative_squared_error 0.3627306563959231 total_cost 0 unweighted_recall 0.9334016374586879 [0.931759,0.887139,0.978147,0.982938,0.984266,0.85782,0.989583,0.929947,0.894787,0.89763] area_under_roc_curve 0.9943500939264932 [0.991278,0.991931,0.999585,0.99956,0.999617,0.986322,0.999848,0.9946,0.991088,0.989228] area_under_roc_curve 0.9904134766188095 [0.97318,0.988621,0.996319,0.997913,0.999778,0.976234,1,0.990712,0.988734,0.992948] area_under_roc_curve 0.9939665931758713 [0.994565,0.994577,0.999496,0.999291,0.99976,0.982265,1,0.994362,0.991319,0.982966] area_under_roc_curve 0.9950496360811919 [0.994211,0.988494,0.998335,0.997442,0.999903,0.994737,0.992306,0.996297,0.992383,0.996225] area_under_roc_curve 0.9936933417773952 [0.991166,0.995431,0.999448,0.999506,0.9997,0.986595,0.99999,0.996367,0.984565,0.982936] area_under_roc_curve 0.9937253291436507 [0.987506,0.991402,0.999742,0.999449,0.999735,0.985901,1,0.990587,0.990869,0.992019] area_under_roc_curve 0.9947697406819606 [0.991691,0.993365,0.999359,0.998822,0.999947,0.988495,0.999829,0.994977,0.988991,0.991674] area_under_roc_curve 0.995094508451033 [0.998183,0.985404,0.999118,0.999886,0.999056,0.987887,0.999781,0.998272,0.990718,0.992268] area_under_roc_curve 0.992958392879346 [0.993935,0.991753,0.998744,0.988808,0.999964,0.98009,0.999962,0.992965,0.991383,0.990908] area_under_roc_curve 0.994161653089766 [0.992261,0.983454,0.998427,0.998946,0.998949,0.993868,0.99999,0.992929,0.990785,0.992371] 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 0.9371862934988454 [0.938053,0.895652,0.978723,0.980952,0.977974,0.875,0.985782,0.960699,0.892019,0.881517] f_measure 0.9230147956974695 [0.950226,0.845815,0.944681,0.981132,0.982456,0.81106,0.995305,0.93578,0.914027,0.865385] f_measure 0.9354084012571685 [0.934498,0.895652,0.969957,0.95814,0.982456,0.873786,1,0.950226,0.874419,0.909953] f_measure 0.9455271786109605 [0.947826,0.87069,0.969163,0.985782,0.991228,0.917431,0.990476,0.938053,0.913462,0.932692] f_measure 0.9324917855490505 [0.931034,0.918455,0.987013,0.971698,0.982456,0.851675,0.990476,0.946903,0.872549,0.86385] f_measure 0.9303695668036351 [0.928571,0.87395,0.986667,0.990566,0.978723,0.834862,0.985507,0.928571,0.902913,0.889952] f_measure 0.9433750338778859 [0.955752,0.891892,0.982609,0.967742,0.991304,0.877358,0.981308,0.951111,0.90566,0.92381] f_measure 0.9361451036392825 [0.943723,0.89083,0.982609,0.981132,0.982301,0.819512,0.995305,0.973451,0.913462,0.87156] f_measure 0.9217451839690064 [0.920354,0.859504,0.964912,0.971963,0.991304,0.83,0.985782,0.931507,0.875,0.881818] f_measure 0.9326059802829308 [0.945946,0.863636,0.951965,0.953271,0.965517,0.901408,0.995261,0.960352,0.904762,0.881818] kappa 0.9302887551812722 kappa 0.9141364468284208 kappa 0.9282063502724844 kappa 0.939327747020444 kappa 0.9251668255481411 kappa 0.9221341229449593 kappa 0.9373102415291819 kappa 0.9292170725513506 kappa 0.9130347570210581 kappa 0.925178805046838 kb_relative_information_score 0.9064190337487346 kb_relative_information_score 0.8931873015852279 kb_relative_information_score 0.9057893926099108 kb_relative_information_score 0.9137401122878583 kb_relative_information_score 0.9079852724657178 kb_relative_information_score 0.9063363616356888 kb_relative_information_score 0.9131362464573166 kb_relative_information_score 0.9112273385819922 kb_relative_information_score 0.8985422422247309 kb_relative_information_score 0.9062964754213675 mean_absolute_error 0.02855206385269601 mean_absolute_error 0.03176462765851308 mean_absolute_error 0.028886720916236223 mean_absolute_error 0.026826275640126383 mean_absolute_error 0.027470295419993244 mean_absolute_error 0.02749040243445842 mean_absolute_error 0.027716267598938357 mean_absolute_error 0.028122197875370784 mean_absolute_error 0.030168588574822356 mean_absolute_error 0.028565829238877575 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 0.9373030913910689 [0.954955,0.887931,0.958333,0.980952,0.982301,0.883495,0.990476,0.956522,0.88785,0.885714] precision 0.9246707533352777 [0.990566,0.849558,0.925,0.971963,0.982456,0.785714,0.990654,0.980769,0.878261,0.882353] precision 0.9360591848055839 [0.938596,0.887931,0.957627,0.936364,0.982456,0.891089,1,0.990566,0.854545,0.914286] precision 0.9459302506670805 [0.939655,0.863248,0.973451,0.981132,1,0.892857,0.990476,0.954955,0.92233,0.941748] precision 0.9326835297210939 [0.915254,0.90678,0.974359,0.971698,0.99115,0.864078,0.990476,0.955357,0.89899,0.851852] precision 0.9314923941226166 [0.945455,0.845528,1,0.990566,0.958333,0.8125,1,0.945455,0.920792,0.894231] precision 0.9434973801281671 [0.964286,0.916667,0.974138,0.945946,0.991304,0.877358,0.972222,0.963964,0.897196,0.92381] precision 0.9365467612427656 [0.931624,0.886957,0.974138,0.981132,0.991071,0.848485,0.990654,0.982143,0.931373,0.840708] precision 0.923405354900414 [0.928571,0.8125,0.964912,0.962963,0.982759,0.873684,0.990476,0.971429,0.892157,0.850877] precision 0.9333370302144923 [0.972222,0.896226,0.95614,0.93578,0.949153,0.888889,1,0.964602,0.913462,0.850877] predictive_accuracy 0.9372727272727274 predictive_accuracy 0.9227272727272726 predictive_accuracy 0.935395814376706 predictive_accuracy 0.9454049135577798 predictive_accuracy 0.9326660600545951 predictive_accuracy 0.9299363057324841 predictive_accuracy 0.9435850773430391 predictive_accuracy 0.9363057324840764 predictive_accuracy 0.921747042766151 predictive_accuracy 0.9326660600545951 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 0.15865079098314958 relative_absolute_error 0.17650154221101885 relative_absolute_error 0.16051227437589827 relative_absolute_error 0.1490631812630287 relative_absolute_error 0.15264052816511206 relative_absolute_error 0.152752254131683 relative_absolute_error 0.1540060575071806 relative_absolute_error 0.1562603399079343 relative_absolute_error 0.16763106234214312 relative_absolute_error 0.15872666565939028 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 0.10771565357792282 root_mean_squared_error 0.1187822507906003 root_mean_squared_error 0.10869862745330434 root_mean_squared_error 0.10295280587835402 root_mean_squared_error 0.10825398647672445 root_mean_squared_error 0.10968161286263925 root_mean_squared_error 0.10396729848954338 root_mean_squared_error 0.10520754513838584 root_mean_squared_error 0.11406073568846273 root_mean_squared_error 0.10784258535365891 root_relative_squared_error 0.3590841256367379 root_relative_squared_error 0.39597606521925677 root_relative_squared_error 0.36236539177062627 root_relative_squared_error 0.3432107167316481 root_relative_squared_error 0.3608802195934009 root_relative_squared_error 0.3656394172951598 root_relative_squared_error 0.3465871578091766 root_relative_squared_error 0.35071879631111186 root_relative_squared_error 0.38023170177004745 root_relative_squared_error 0.35950588013285156 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 0.93661804223438 [0.921739,0.903509,1,0.980952,0.973684,0.866667,0.981132,0.964912,0.896226,0.877358] unweighted_recall 0.9228017336203511 [0.913043,0.842105,0.965217,0.990476,0.982456,0.838095,1,0.894737,0.95283,0.849057] unweighted_recall 0.9351045579494264 [0.930435,0.903509,0.982609,0.980952,0.982456,0.857143,1,0.913043,0.895238,0.90566] unweighted_recall 0.9456581363170026 [0.95614,0.878261,0.964912,0.990476,0.982609,0.943396,0.990476,0.921739,0.904762,0.92381] unweighted_recall 0.9315919207370355 [0.947368,0.930435,1,0.971698,0.973913,0.839623,0.990476,0.938596,0.847619,0.87619] unweighted_recall 0.9294507186752773 [0.912281,0.904348,0.973684,0.990566,1,0.858491,0.971429,0.912281,0.885714,0.885714] unweighted_recall 0.9433504187046781 [0.947368,0.868421,0.991228,0.990566,0.991304,0.877358,0.990566,0.938596,0.914286,0.92381] unweighted_recall 0.9355274979902587 [0.95614,0.894737,0.991228,0.981132,0.973684,0.792453,1,0.964912,0.896226,0.904762] unweighted_recall 0.9210535773395753 [0.912281,0.912281,0.964912,0.981132,1,0.790476,0.981132,0.894737,0.858491,0.915094] unweighted_recall 0.9328409621263989 [0.921053,0.833333,0.947826,0.971429,0.982456,0.914286,0.990566,0.95614,0.896226,0.915094] usercpu_time_millis 28153.945999999905 usercpu_time_millis 30631.818000000294 usercpu_time_millis 28512.385999999424 usercpu_time_millis 30149.795999999697 usercpu_time_millis 28628.655999999864 usercpu_time_millis 29612.00000000008 usercpu_time_millis 29064.316000000417 usercpu_time_millis 26706.35399999992 usercpu_time_millis 27832.22599999999 usercpu_time_millis 28384.284000000207 usercpu_time_millis_testing 2.007999999932508 usercpu_time_millis_testing 2.5400000004083267 usercpu_time_millis_testing 1.8659999996089027 usercpu_time_millis_testing 1.874000000043452 usercpu_time_millis_testing 1.5739999998913845 usercpu_time_millis_testing 1.9059999999626598 usercpu_time_millis_testing 1.7600000001039007 usercpu_time_millis_testing 2.4699999999029387 usercpu_time_millis_testing 2.292000000124972 usercpu_time_millis_testing 1.9060000004174071 usercpu_time_millis_training 28151.937999999973 usercpu_time_millis_training 30629.277999999886 usercpu_time_millis_training 28510.519999999815 usercpu_time_millis_training 30147.921999999653 usercpu_time_millis_training 28627.081999999973 usercpu_time_millis_training 29610.094000000117 usercpu_time_millis_training 29062.556000000313 usercpu_time_millis_training 26703.884000000016 usercpu_time_millis_training 27829.933999999867 usercpu_time_millis_training 28382.37799999979 wall_clock_time_millis 14563.635110855103 wall_clock_time_millis 15975.34990310669 wall_clock_time_millis 14575.727939605713 wall_clock_time_millis 15680.720567703247 wall_clock_time_millis 14609.074115753174 wall_clock_time_millis 15334.957838058472 wall_clock_time_millis 14902.635097503662 wall_clock_time_millis 13393.584966659546 wall_clock_time_millis 14041.399002075195 wall_clock_time_millis 14318.098068237305 wall_clock_time_millis_testing 0.9560585021972656 wall_clock_time_millis_testing 1.2478828430175781 wall_clock_time_millis_testing 0.8959770202636719 wall_clock_time_millis_testing 0.8847713470458984 wall_clock_time_millis_testing 0.7610321044921875 wall_clock_time_millis_testing 0.9069442749023438 wall_clock_time_millis_testing 0.8599758148193359 wall_clock_time_millis_testing 1.6489028930664062 wall_clock_time_millis_testing 1.1219978332519531 wall_clock_time_millis_testing 0.9069442749023438 wall_clock_time_millis_training 14562.679052352905 wall_clock_time_millis_training 15974.102020263672 wall_clock_time_millis_training 14574.83196258545 wall_clock_time_millis_training 15679.835796356201 wall_clock_time_millis_training 14608.313083648682 wall_clock_time_millis_training 15334.05089378357 wall_clock_time_millis_training 14901.775121688843 wall_clock_time_millis_training 13391.93606376648 wall_clock_time_millis_training 14040.277004241943 wall_clock_time_millis_training 14317.191123962402 weighted_recall 0.9372727272727273 [0.921739,0.903509,1,0.980952,0.973684,0.866667,0.981132,0.964912,0.896226,0.877358] weighted_recall 0.9227272727272727 [0.913043,0.842105,0.965217,0.990476,0.982456,0.838095,1,0.894737,0.95283,0.849057] weighted_recall 0.935395814376706 [0.930435,0.903509,0.982609,0.980952,0.982456,0.857143,1,0.913043,0.895238,0.90566] weighted_recall 0.9454049135577798 [0.95614,0.878261,0.964912,0.990476,0.982609,0.943396,0.990476,0.921739,0.904762,0.92381] weighted_recall 0.9326660600545951 [0.947368,0.930435,1,0.971698,0.973913,0.839623,0.990476,0.938596,0.847619,0.87619] weighted_recall 0.9299363057324841 [0.912281,0.904348,0.973684,0.990566,1,0.858491,0.971429,0.912281,0.885714,0.885714] weighted_recall 0.9435850773430391 [0.947368,0.868421,0.991228,0.990566,0.991304,0.877358,0.990566,0.938596,0.914286,0.92381] weighted_recall 0.9363057324840764 [0.95614,0.894737,0.991228,0.981132,0.973684,0.792453,1,0.964912,0.896226,0.904762] weighted_recall 0.921747042766151 [0.912281,0.912281,0.964912,0.981132,1,0.790476,0.981132,0.894737,0.858491,0.915094] weighted_recall 0.9326660600545951 [0.921053,0.833333,0.947826,0.971429,0.982456,0.914286,0.990566,0.95614,0.896226,0.915094]