10516026 8323 Heinrich Peters 32 Supervised Classification 18601 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2) 8275618 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 C 0.001 13106 class_weight null 13106 dual false 13106 fit_intercept true 13106 intercept_scaling 1 13106 l1_ratio null 13106 max_iter 10000 13106 multi_class "warn" 13106 n_jobs null 13106 penalty "l2" 13106 random_state 1 13106 solver "lbfgs" 13106 tol 0.0001 13106 verbose 0 13106 warm_start false 13106 copy true 13294 with_mean true 13294 with_std true 13294 memory null 18601 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"}}] 18601 verbose false 18601 openml-python Sklearn_0.21.2. 32 pendigits https://www.openml.org/data/download/32/dataset_32_pendigits.arff -1 21957006 description https://api.openml.org/data/download/21957006/description.xml -1 21957007 predictions https://api.openml.org/data/download/21957007/predictions.arff area_under_roc_curve 0.9721387199944789 [0.976907,0.949772,0.989087,0.996249,0.996194,0.888503,0.99898,0.972427,0.966316,0.984912] average_cost 0 f_measure 0.838430557434868 [0.900132,0.708814,0.860587,0.875209,0.942035,0.650602,0.930912,0.867249,0.820774,0.820583] kappa 0.8262051027885138 kb_relative_information_score 0.575126540046183 mean_absolute_error 0.11883288610048122 mean_prior_absolute_error 0.17996797657803554 weighted_recall 0.8436135371179039 [0.895013,0.671916,0.936189,0.990521,0.958916,0.537441,0.995265,0.82662,0.763981,0.854028] number_of_instances 10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055] precision 0.8453428158133531 [0.90531,0.75,0.796283,0.783946,0.925738,0.824128,0.874376,0.912077,0.886689,0.789658] predictive_accuracy 0.8436135371179039 prior_entropy 3.320771739846944 relative_absolute_error 0.6603001731752779 root_mean_prior_squared_error 0.29997328837006915 root_mean_squared_error 0.21245381889060677 root_relative_squared_error 0.7082424573367616 total_cost 0 unweighted_recall 0.8429890709433087 [0.895013,0.671916,0.936189,0.990521,0.958916,0.537441,0.995265,0.82662,0.763981,0.854028] area_under_roc_curve 0.9727096185562385 [0.983183,0.962306,0.990201,0.997588,0.996717,0.87619,0.99981,0.975179,0.963394,0.978266] area_under_roc_curve 0.9683729917738717 [0.95247,0.938445,0.984215,0.99642,0.997037,0.885408,0.999573,0.960517,0.978142,0.991676] area_under_roc_curve 0.9732832570533557 [0.978208,0.957449,0.992294,0.994472,0.996251,0.894539,0.999885,0.969928,0.970988,0.97622] area_under_roc_curve 0.9780827387123401 [0.983445,0.96125,0.989224,0.995784,0.994715,0.932927,0.992872,0.974125,0.960036,0.995861] area_under_roc_curve 0.970514914345563 [0.975278,0.9576,0.991905,0.99753,0.995758,0.878147,0.999751,0.979339,0.955169,0.971122] area_under_roc_curve 0.9716966505573134 [0.97331,0.944795,0.990151,0.99733,0.997004,0.888978,0.999578,0.958794,0.979007,0.9881] area_under_roc_curve 0.9711160361995526 [0.977371,0.93849,0.989607,0.998641,0.998445,0.886517,0.999677,0.969757,0.966676,0.98444] area_under_roc_curve 0.9730320797990885 [0.991326,0.939238,0.989011,0.998584,0.993935,0.867079,0.99999,0.983614,0.979945,0.985302] area_under_roc_curve 0.9697500735727256 [0.979339,0.959916,0.987541,0.988685,0.9987,0.858082,0.999202,0.973782,0.960839,0.986547] area_under_roc_curve 0.9725155539653355 [0.97624,0.937163,0.986417,0.997279,0.994007,0.915138,0.999458,0.979535,0.947861,0.990804] 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 0.8362600684246534 [0.888889,0.72973,0.882812,0.881356,0.932203,0.646341,0.933921,0.875576,0.8,0.779817] f_measure 0.8370841271138475 [0.891775,0.695238,0.809524,0.87395,0.961039,0.677083,0.976744,0.862559,0.808081,0.810811] f_measure 0.8331142116988876 [0.900901,0.737778,0.897959,0.861925,0.943723,0.596491,0.92511,0.82243,0.81592,0.816143] f_measure 0.8468808392380527 [0.904348,0.711712,0.852459,0.877637,0.936709,0.719101,0.936937,0.868778,0.80203,0.857143] f_measure 0.8438221336157686 [0.902655,0.727273,0.902439,0.878661,0.961039,0.64,0.9375,0.873874,0.764398,0.839286] f_measure 0.8420363624291947 [0.90991,0.709677,0.859438,0.886076,0.932773,0.644068,0.929204,0.842593,0.884422,0.820276] f_measure 0.8419505174880064 [0.929204,0.695652,0.854902,0.883333,0.935065,0.674157,0.913793,0.872727,0.836735,0.816901] f_measure 0.8348275829933209 [0.913793,0.682464,0.857143,0.876033,0.947368,0.576687,0.933921,0.892857,0.874372,0.784141] f_measure 0.82923954900596 [0.866071,0.717489,0.837398,0.852459,0.961039,0.619048,0.903509,0.861244,0.821782,0.843049] f_measure 0.8374009747029542 [0.893805,0.67619,0.85259,0.881356,0.910638,0.700565,0.921739,0.896861,0.795812,0.840183] kappa 0.8251860670631443 kappa 0.8221998543434756 kappa 0.8210257462435953 kappa 0.834154420898626 kappa 0.8331517648639248 kappa 0.8301217556440683 kappa 0.830121286732435 kappa 0.8250690745618838 kappa 0.8159681138245194 kappa 0.8250550708421744 kb_relative_information_score 0.5813944212615462 kb_relative_information_score 0.5703178104795348 kb_relative_information_score 0.5738743392992547 kb_relative_information_score 0.5835883277591333 kb_relative_information_score 0.575286428818143 kb_relative_information_score 0.5722264324796782 kb_relative_information_score 0.5776888582302447 kb_relative_information_score 0.5743260587950766 kb_relative_information_score 0.5705127398716208 kb_relative_information_score 0.5720492163907882 mean_absolute_error 0.11739407424947093 mean_absolute_error 0.1197218411708847 mean_absolute_error 0.11907847467175697 mean_absolute_error 0.11777970585866161 mean_absolute_error 0.11881736175594967 mean_absolute_error 0.11946853183141011 mean_absolute_error 0.11817297752171661 mean_absolute_error 0.11900554417232363 mean_absolute_error 0.11939758404034374 mean_absolute_error 0.11949326605693288 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 0.8481739506314475 [0.87395,0.75,0.801418,0.793893,0.901639,0.898305,0.876033,0.92233,0.904762,0.758929] precision 0.842364754364292 [0.887931,0.760417,0.744526,0.781955,0.948718,0.747126,0.963303,0.938144,0.869565,0.775862] precision 0.8396733732993719 [0.934579,0.747748,0.846154,0.768657,0.931624,0.772727,0.860656,0.888889,0.854167,0.777778] precision 0.8530858974577781 [0.896552,0.738318,0.8,0.787879,0.909836,0.888889,0.888889,0.90566,0.858696,0.857143] precision 0.8500140520434043 [0.910714,0.761905,0.840909,0.789474,0.956897,0.811594,0.882353,0.898148,0.848837,0.789916] precision 0.8482058787486905 [0.935185,0.754902,0.792593,0.801527,0.902439,0.802817,0.867769,0.892157,0.93617,0.794643] precision 0.8499839611938287 [0.9375,0.774194,0.77305,0.791045,0.931034,0.833333,0.84127,0.90566,0.901099,0.805556] precision 0.8450191599101378 [0.898305,0.742268,0.801527,0.779412,0.947368,0.824561,0.876033,0.909091,0.935484,0.729508] precision 0.8390865728101935 [0.881818,0.733945,0.780303,0.753623,0.948718,0.825397,0.844262,0.947368,0.864583,0.803419] precision 0.844819645119319 [0.901786,0.739583,0.786765,0.793893,0.884298,0.861111,0.854839,0.917431,0.894118,0.814159] predictive_accuracy 0.8427272727272727 predictive_accuracy 0.84 predictive_accuracy 0.8389444949954504 predictive_accuracy 0.8507734303912647 predictive_accuracy 0.8498635122838943 predictive_accuracy 0.8471337579617834 predictive_accuracy 0.8471337579617834 predictive_accuracy 0.8425841674249318 predictive_accuracy 0.8343949044585988 predictive_accuracy 0.8425841674249318 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 0.6523053055814223 relative_absolute_error 0.6652396442412121 relative_absolute_error 0.6616727753281765 relative_absolute_error 0.6544560221119522 relative_absolute_error 0.6602165930990853 relative_absolute_error 0.663834863042089 relative_absolute_error 0.6566307785504769 relative_absolute_error 0.6612515446234767 relative_absolute_error 0.6634299050526924 relative_absolute_error 0.6639669911683826 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 0.21041177150430038 root_mean_squared_error 0.21405288546174997 root_mean_squared_error 0.21267718129925745 root_mean_squared_error 0.21069403607222253 root_mean_squared_error 0.21229597565735622 root_mean_squared_error 0.21325850351479259 root_mean_squared_error 0.21146553390788053 root_mean_squared_error 0.21239987524822226 root_mean_squared_error 0.21369693599803205 root_mean_squared_error 0.21355227702908874 root_relative_squared_error 0.7014349770401849 root_relative_squared_error 0.7135731034714438 root_relative_squared_error 0.7089956140916769 root_relative_squared_error 0.7023844616422932 root_relative_squared_error 0.7077191409527867 root_relative_squared_error 0.7109278658770283 root_relative_squared_error 0.7049451071300435 root_relative_squared_error 0.7080540515007947 root_relative_squared_error 0.7123779199487974 root_relative_squared_error 0.7119015095562367 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 0.840983447133009 [0.904348,0.710526,0.982609,0.990476,0.964912,0.504762,1,0.833333,0.716981,0.801887] unweighted_recall 0.8398752829571879 [0.895652,0.640351,0.886957,0.990476,0.973684,0.619048,0.990566,0.798246,0.754717,0.849057] unweighted_recall 0.838162448779866 [0.869565,0.72807,0.956522,0.980952,0.95614,0.485714,1,0.765217,0.780952,0.858491] unweighted_recall 0.8505767700629752 [0.912281,0.686957,0.912281,0.990476,0.965217,0.603774,0.990476,0.834783,0.752381,0.857143] unweighted_recall 0.8489511925835919 [0.894737,0.695652,0.973684,0.990566,0.965217,0.528302,1,0.850877,0.695238,0.895238] unweighted_recall 0.847160579874625 [0.885965,0.669565,0.938596,0.990566,0.965217,0.537736,1,0.798246,0.838095,0.847619] unweighted_recall 0.8465569173137931 [0.921053,0.631579,0.95614,1,0.93913,0.566038,1,0.842105,0.780952,0.828571] unweighted_recall 0.8418787534874923 [0.929825,0.631579,0.921053,1,0.947368,0.443396,1,0.877193,0.820755,0.847619] unweighted_recall 0.8337177850286093 [0.850877,0.701754,0.903509,0.981132,0.973684,0.495238,0.971698,0.789474,0.783019,0.886792] unweighted_recall 0.8420854227447206 [0.885965,0.622807,0.930435,0.990476,0.938596,0.590476,1,0.877193,0.716981,0.867925] usercpu_time_millis 221.4063390129013 usercpu_time_millis 197.46085701626725 usercpu_time_millis 196.72190300479997 usercpu_time_millis 201.32064798963256 usercpu_time_millis 207.0528629992623 usercpu_time_millis 216.62036400812212 usercpu_time_millis 210.97174998431 usercpu_time_millis 208.68363299814519 usercpu_time_millis 201.8867680017138 usercpu_time_millis 210.53865499561653 usercpu_time_millis_testing 0.9506750066066161 usercpu_time_millis_testing 0.9007720072986558 usercpu_time_millis_testing 0.9167950047412887 usercpu_time_millis_testing 0.9897399868350476 usercpu_time_millis_testing 0.9353130008094013 usercpu_time_millis_testing 0.9663759992690757 usercpu_time_millis_testing 0.9678289934527129 usercpu_time_millis_testing 0.9146939992206171 usercpu_time_millis_testing 0.9538879967294633 usercpu_time_millis_testing 0.9684219985501841 usercpu_time_millis_training 220.45566400629468 usercpu_time_millis_training 196.5600850089686 usercpu_time_millis_training 195.80510800005868 usercpu_time_millis_training 200.3309080027975 usercpu_time_millis_training 206.1175499984529 usercpu_time_millis_training 215.65398800885305 usercpu_time_millis_training 210.0039209908573 usercpu_time_millis_training 207.76893899892457 usercpu_time_millis_training 200.93288000498433 usercpu_time_millis_training 209.57023299706634 wall_clock_time_millis 221.41122817993164 wall_clock_time_millis 197.46756553649902 wall_clock_time_millis 196.72751426696777 wall_clock_time_millis 201.32708549499512 wall_clock_time_millis 207.0610523223877 wall_clock_time_millis 216.6271209716797 wall_clock_time_millis 210.9823226928711 wall_clock_time_millis 208.71281623840332 wall_clock_time_millis 201.91454887390137 wall_clock_time_millis 210.54911613464355 wall_clock_time_millis_testing 0.9551048278808594 wall_clock_time_millis_testing 0.9064674377441406 wall_clock_time_millis_testing 0.9229183197021484 wall_clock_time_millis_testing 0.9958744049072266 wall_clock_time_millis_testing 0.9403228759765625 wall_clock_time_millis_testing 0.9732246398925781 wall_clock_time_millis_testing 0.9748935699462891 wall_clock_time_millis_testing 0.9191036224365234 wall_clock_time_millis_testing 0.9615421295166016 wall_clock_time_millis_testing 0.9765625 wall_clock_time_millis_training 220.45612335205078 wall_clock_time_millis_training 196.56109809875488 wall_clock_time_millis_training 195.80459594726562 wall_clock_time_millis_training 200.3312110900879 wall_clock_time_millis_training 206.12072944641113 wall_clock_time_millis_training 215.6538963317871 wall_clock_time_millis_training 210.0074291229248 wall_clock_time_millis_training 207.7937126159668 wall_clock_time_millis_training 200.95300674438477 wall_clock_time_millis_training 209.57255363464355 weighted_recall 0.8427272727272728 [0.904348,0.710526,0.982609,0.990476,0.964912,0.504762,1,0.833333,0.716981,0.801887] weighted_recall 0.84 [0.895652,0.640351,0.886957,0.990476,0.973684,0.619048,0.990566,0.798246,0.754717,0.849057] weighted_recall 0.8389444949954504 [0.869565,0.72807,0.956522,0.980952,0.95614,0.485714,1,0.765217,0.780952,0.858491] weighted_recall 0.8507734303912647 [0.912281,0.686957,0.912281,0.990476,0.965217,0.603774,0.990476,0.834783,0.752381,0.857143] weighted_recall 0.8498635122838945 [0.894737,0.695652,0.973684,0.990566,0.965217,0.528302,1,0.850877,0.695238,0.895238] weighted_recall 0.8471337579617835 [0.885965,0.669565,0.938596,0.990566,0.965217,0.537736,1,0.798246,0.838095,0.847619] weighted_recall 0.8471337579617835 [0.921053,0.631579,0.95614,1,0.93913,0.566038,1,0.842105,0.780952,0.828571] weighted_recall 0.8425841674249318 [0.929825,0.631579,0.921053,1,0.947368,0.443396,1,0.877193,0.820755,0.847619] weighted_recall 0.8343949044585988 [0.850877,0.701754,0.903509,0.981132,0.973684,0.495238,0.971698,0.789474,0.783019,0.886792] weighted_recall 0.8425841674249318 [0.885965,0.622807,0.930435,0.990476,0.938596,0.590476,1,0.877193,0.716981,0.867925]