10559256 8323 Heinrich Peters 32 Supervised Classification 17494 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(4) 8270480 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 memory null 17494 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": "svc", "step_name": "svc"}}] 17494 verbose false 17494 C 1.0167588209539864 17495 cache_size 200 17495 class_weight null 17495 coef0 -0.6354734369237474 17495 decision_function_shape "ovr" 17495 degree 3 17495 gamma 0.0003345572257968965 17495 kernel "poly" 17495 max_iter -1 17495 probability true 17495 random_state 1 17495 shrinking true 17495 tol 0.001 17495 verbose false 17495 openml-python Sklearn_0.21.2. 32 pendigits https://www.openml.org/data/download/32/dataset_32_pendigits.arff -1 22043477 description https://api.openml.org/data/download/22043477/description.xml -1 22043478 predictions https://api.openml.org/data/download/22043478/predictions.arff area_under_roc_curve 0.990770012316289 [0.988889,0.964826,0.993275,0.997942,0.997867,0.98969,0.999213,0.994039,0.987012,0.996181] average_cost 0 f_measure 0.895794897839583 [0.923814,0.713722,0.868191,0.960682,0.970097,0.858423,0.98142,0.910014,0.854808,0.924436] kappa 0.8836325678946193 kb_relative_information_score 0.8766760657159541 mean_absolute_error 0.03497204022515257 mean_prior_absolute_error 0.17996797657803554 weighted_recall 0.8952874818049491 [0.928259,0.712161,0.912587,0.961137,0.964161,0.908057,0.975379,0.863398,0.842654,0.892891] number_of_instances 10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055] precision 0.8980535859848612 [0.919411,0.71529,0.827914,0.960227,0.976106,0.813934,0.987536,0.961951,0.867317,0.958291] predictive_accuracy 0.895287481804949 prior_entropy 3.320771739846944 relative_absolute_error 0.19432368408047537 root_mean_prior_squared_error 0.29997328837006915 root_mean_squared_error 0.12399241939373147 root_relative_squared_error 0.4133448683629633 total_cost 0 unweighted_recall 0.8960683871787612 [0.928259,0.712161,0.912587,0.961137,0.964161,0.908057,0.975379,0.863398,0.842654,0.892891] area_under_roc_curve 0.9929035985483696 [0.994138,0.97396,0.993882,0.999311,0.998986,0.993204,0.999934,0.995703,0.986978,0.993575] area_under_roc_curve 0.988047083873806 [0.975652,0.955767,0.988665,0.997875,0.999377,0.987203,0.999801,0.988986,0.99328,0.99646] area_under_roc_curve 0.9912027149459943 [0.990836,0.969142,0.99483,0.996915,0.997649,0.984699,0.999904,0.994821,0.990457,0.993435] area_under_roc_curve 0.9912016628920322 [0.991219,0.970979,0.992332,0.99749,0.995095,0.995202,0.993705,0.993081,0.984929,0.999224] area_under_roc_curve 0.9905372054509992 [0.982527,0.973604,0.995057,0.999677,0.996677,0.989901,0.999933,0.995191,0.980646,0.993006] area_under_roc_curve 0.991254142425626 [0.988788,0.960401,0.995031,0.99962,0.99932,0.988067,0.999847,0.991424,0.994395,0.997643] area_under_roc_curve 0.9906578765443257 [0.987684,0.960326,0.993597,0.999259,0.999797,0.989844,0.999819,0.993107,0.98581,0.998697] area_under_roc_curve 0.9913853726069576 [0.99805,0.959462,0.993481,0.999477,0.994942,0.986775,0.999876,0.996322,0.990984,0.995631] area_under_roc_curve 0.9909186987051067 [0.991059,0.970042,0.992867,0.991155,0.999858,0.991156,0.999724,0.99528,0.983175,0.995288] area_under_roc_curve 0.9898036818918321 [0.99203,0.953691,0.993717,0.999013,0.996999,0.990275,0.99981,0.995948,0.979061,0.998803] 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 0.9014719984432262 [0.909091,0.738197,0.881633,0.966184,0.96,0.900474,0.990566,0.916667,0.862745,0.897561] f_measure 0.8799845341867879 [0.920354,0.678571,0.819672,0.966825,0.977778,0.824561,0.980769,0.886792,0.849057,0.904762] f_measure 0.8991885689699658 [0.919643,0.740426,0.89916,0.951923,0.973214,0.846847,0.985782,0.903226,0.86385,0.912621] f_measure 0.8958729717546268 [0.926407,0.717949,0.865546,0.961538,0.974138,0.88,0.980769,0.891892,0.835821,0.934673] f_measure 0.9041921251441338 [0.917749,0.756522,0.903766,0.962617,0.968889,0.837838,0.980769,0.949772,0.846154,0.920792] f_measure 0.8950680786321428 [0.938596,0.715517,0.863248,0.976303,0.956897,0.862069,0.966507,0.888889,0.879227,0.913706] f_measure 0.9002123386804501 [0.938053,0.678571,0.852459,0.95283,0.973684,0.875,0.981308,0.910798,0.894231,0.956098] f_measure 0.8963202558970763 [0.92827,0.690909,0.866667,0.962617,0.96861,0.837004,0.985782,0.926606,0.879227,0.925373] f_measure 0.8977005526116852 [0.9163,0.738197,0.869198,0.95814,0.974138,0.894009,0.976077,0.895238,0.826291,0.936585] f_measure 0.8876348428374612 [0.924444,0.675926,0.861789,0.947867,0.973684,0.830357,0.985646,0.928571,0.811594,0.942308] kappa 0.8898624796649761 kappa 0.8656463256611845 kappa 0.8867517966449134 kappa 0.8836970685238081 kappa 0.8928109723051612 kappa 0.8826990157442278 kappa 0.888773881321391 kappa 0.8847265376649593 kappa 0.8857385494269308 kappa 0.8756257722957114 kb_relative_information_score 0.8815774681042566 kb_relative_information_score 0.8638781380968785 kb_relative_information_score 0.8789930726070093 kb_relative_information_score 0.8818232953161059 kb_relative_information_score 0.8799915801690404 kb_relative_information_score 0.8778109593106812 kb_relative_information_score 0.8770605348005794 kb_relative_information_score 0.8770806381918451 kb_relative_information_score 0.8749571833435152 kb_relative_information_score 0.8735955011137219 mean_absolute_error 0.03316126765811662 mean_absolute_error 0.03731411991572016 mean_absolute_error 0.03443536667789697 mean_absolute_error 0.034132657757959595 mean_absolute_error 0.03416927918350041 mean_absolute_error 0.035237582500649914 mean_absolute_error 0.03480906231390005 mean_absolute_error 0.03522560798236465 mean_absolute_error 0.03554273524225962 mean_absolute_error 0.03569223957318629 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 0.9043917883138991 [0.866142,0.722689,0.830769,0.980392,0.972973,0.896226,0.990566,0.970588,0.897959,0.929293] precision 0.8837155854968881 [0.936937,0.690909,0.775194,0.962264,0.990991,0.764228,1,0.959184,0.849057,0.913462] precision 0.9021981497661592 [0.944954,0.719008,0.869919,0.961165,0.990909,0.803419,0.981132,0.960784,0.851852,0.94] precision 0.8985094242302716 [0.91453,0.705882,0.830645,0.970874,0.965812,0.831933,0.990291,0.925234,0.875,0.989362] precision 0.9063527362559579 [0.905983,0.756522,0.864,0.953704,0.990909,0.801724,0.990291,0.990476,0.854369,0.958763] precision 0.8984538949749709 [0.938596,0.709402,0.841667,0.980952,0.948718,0.793651,0.971154,0.941176,0.892157,0.978261] precision 0.9029238799606311 [0.946429,0.690909,0.8,0.95283,0.982301,0.830508,0.972222,0.979798,0.902913,0.98] precision 0.898978965732419 [0.894309,0.716981,0.825397,0.953704,0.990826,0.785124,0.990476,0.971154,0.90099,0.96875] precision 0.9004583940365268 [0.920354,0.722689,0.837398,0.944954,0.957627,0.866071,0.990291,0.979167,0.82243,0.969697] precision 0.8893096267522597 [0.936937,0.715686,0.80916,0.943396,0.973684,0.781513,1,0.945455,0.831683,0.960784] predictive_accuracy 0.9009090909090909 predictive_accuracy 0.879090909090909 predictive_accuracy 0.8980891719745223 predictive_accuracy 0.8953594176524113 predictive_accuracy 0.9035486806187443 predictive_accuracy 0.8944494995450409 predictive_accuracy 0.8999090081892629 predictive_accuracy 0.8962693357597815 predictive_accuracy 0.8971792538671519 predictive_accuracy 0.8880800727934486 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 0.18426203342450725 relative_absolute_error 0.20733753854049727 relative_absolute_error 0.19134394106084088 relative_absolute_error 0.18966190531320745 relative_absolute_error 0.18986387812177213 relative_absolute_error 0.19579997673582486 relative_absolute_error 0.193417329131678 relative_absolute_error 0.19573027333004536 relative_absolute_error 0.19749238359059007 relative_absolute_error 0.19832472322062386 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 0.12221215134740468 root_mean_squared_error 0.13295000580555194 root_mean_squared_error 0.12260539436583606 root_mean_squared_error 0.12174660243006667 root_mean_squared_error 0.12182039182662863 root_mean_squared_error 0.1216970848470595 root_mean_squared_error 0.1233373196457402 root_mean_squared_error 0.12219654328014572 root_mean_squared_error 0.1245638765027836 root_mean_squared_error 0.12634490916335014 root_relative_squared_error 0.40741008433858644 root_relative_squared_error 0.4432061172385681 root_relative_squared_error 0.4087259683352859 root_relative_squared_error 0.40586303911947574 root_relative_squared_error 0.4061057812665422 root_relative_squared_error 0.40569471973141924 root_relative_squared_error 0.4111593903934933 root_relative_squared_error 0.40735314673695205 root_relative_squared_error 0.41524486455261594 root_relative_squared_error 0.4211855420576143 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 0.901164971493541 [0.956522,0.754386,0.93913,0.952381,0.947368,0.904762,0.990566,0.868421,0.830189,0.867925] unweighted_recall 0.8804267230833442 [0.904348,0.666667,0.869565,0.971429,0.964912,0.895238,0.962264,0.824561,0.849057,0.896226] unweighted_recall 0.8989113472771347 [0.895652,0.763158,0.930435,0.942857,0.95614,0.895238,0.990476,0.852174,0.87619,0.886792] unweighted_recall 0.8959504380310909 [0.938596,0.730435,0.903509,0.952381,0.982609,0.933962,0.971429,0.86087,0.8,0.885714] unweighted_recall 0.9038116209309164 [0.929825,0.756522,0.947368,0.971698,0.947826,0.877358,0.971429,0.912281,0.838095,0.885714] unweighted_recall 0.8954431813742726 [0.938596,0.721739,0.885965,0.971698,0.965217,0.943396,0.961905,0.842105,0.866667,0.857143] unweighted_recall 0.9011838661460873 [0.929825,0.666667,0.912281,0.95283,0.965217,0.924528,0.990566,0.850877,0.885714,0.933333] unweighted_recall 0.8970454437981747 [0.964912,0.666667,0.912281,0.971698,0.947368,0.896226,0.981132,0.885965,0.858491,0.885714] unweighted_recall 0.8979585756844944 [0.912281,0.754386,0.903509,0.971698,0.991228,0.92381,0.962264,0.824561,0.830189,0.90566] unweighted_recall 0.8887110105041109 [0.912281,0.640351,0.921739,0.952381,0.973684,0.885714,0.971698,0.912281,0.792453,0.924528] usercpu_time_millis 16708.513999999923 usercpu_time_millis 16705.850000000282 usercpu_time_millis 16600.864 usercpu_time_millis 16746.557999999823 usercpu_time_millis 16713.69199999981 usercpu_time_millis 16663.864000000103 usercpu_time_millis 16609.989999999925 usercpu_time_millis 16678.472000000056 usercpu_time_millis 16675.127999999404 usercpu_time_millis 16591.942000000017 usercpu_time_millis_testing 430.95199999970646 usercpu_time_millis_testing 426.1300000002848 usercpu_time_millis_testing 432.20000000019354 usercpu_time_millis_testing 427.4619999996503 usercpu_time_millis_testing 427.8079999999136 usercpu_time_millis_testing 469.97800000008283 usercpu_time_millis_testing 440.92799999998533 usercpu_time_millis_testing 432.9760000000533 usercpu_time_millis_testing 432.74799999971947 usercpu_time_millis_testing 428.2459999999446 usercpu_time_millis_training 16277.562000000216 usercpu_time_millis_training 16279.719999999998 usercpu_time_millis_training 16168.663999999808 usercpu_time_millis_training 16319.096000000172 usercpu_time_millis_training 16285.883999999896 usercpu_time_millis_training 16193.88600000002 usercpu_time_millis_training 16169.06199999994 usercpu_time_millis_training 16245.496000000003 usercpu_time_millis_training 16242.379999999685 usercpu_time_millis_training 16163.696000000073 wall_clock_time_millis 8425.803184509277 wall_clock_time_millis 8435.147762298584 wall_clock_time_millis 8356.05001449585 wall_clock_time_millis 8473.749160766602 wall_clock_time_millis 8424.545288085938 wall_clock_time_millis 8422.69492149353 wall_clock_time_millis 8383.059978485107 wall_clock_time_millis 8394.726753234863 wall_clock_time_millis 8420.418977737427 wall_clock_time_millis 8365.783214569092 wall_clock_time_millis_testing 224.8551845550537 wall_clock_time_millis_testing 213.48977088928223 wall_clock_time_millis_testing 216.8290615081787 wall_clock_time_millis_testing 223.88100624084473 wall_clock_time_millis_testing 214.54906463623047 wall_clock_time_millis_testing 235.5809211730957 wall_clock_time_millis_testing 222.8679656982422 wall_clock_time_millis_testing 216.98689460754395 wall_clock_time_millis_testing 216.8738842010498 wall_clock_time_millis_testing 214.59102630615234 wall_clock_time_millis_training 8200.947999954224 wall_clock_time_millis_training 8221.657991409302 wall_clock_time_millis_training 8139.220952987671 wall_clock_time_millis_training 8249.868154525757 wall_clock_time_millis_training 8209.996223449707 wall_clock_time_millis_training 8187.114000320435 wall_clock_time_millis_training 8160.192012786865 wall_clock_time_millis_training 8177.739858627319 wall_clock_time_millis_training 8203.545093536377 wall_clock_time_millis_training 8151.192188262939 weighted_recall 0.9009090909090909 [0.956522,0.754386,0.93913,0.952381,0.947368,0.904762,0.990566,0.868421,0.830189,0.867925] weighted_recall 0.8790909090909091 [0.904348,0.666667,0.869565,0.971429,0.964912,0.895238,0.962264,0.824561,0.849057,0.896226] weighted_recall 0.8980891719745223 [0.895652,0.763158,0.930435,0.942857,0.95614,0.895238,0.990476,0.852174,0.87619,0.886792] weighted_recall 0.8953594176524113 [0.938596,0.730435,0.903509,0.952381,0.982609,0.933962,0.971429,0.86087,0.8,0.885714] weighted_recall 0.9035486806187443 [0.929825,0.756522,0.947368,0.971698,0.947826,0.877358,0.971429,0.912281,0.838095,0.885714] weighted_recall 0.8944494995450409 [0.938596,0.721739,0.885965,0.971698,0.965217,0.943396,0.961905,0.842105,0.866667,0.857143] weighted_recall 0.899909008189263 [0.929825,0.666667,0.912281,0.95283,0.965217,0.924528,0.990566,0.850877,0.885714,0.933333] weighted_recall 0.8962693357597816 [0.964912,0.666667,0.912281,0.971698,0.947368,0.896226,0.981132,0.885965,0.858491,0.885714] weighted_recall 0.8971792538671519 [0.912281,0.754386,0.903509,0.971698,0.991228,0.92381,0.962264,0.824561,0.830189,0.90566] weighted_recall 0.8880800727934486 [0.912281,0.640351,0.921739,0.952381,0.973684,0.885714,0.971698,0.912281,0.792453,0.924528]