8709224 1 Jan van Rijn 9954 Supervised Classification 7707 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1) 6686643 axis 0 7660 categorical_features [] 7660 copy true 7660 fill_empty 0 7660 missing_values "NaN" 7660 strategy "most_frequent" 7660 strategy_nominal "most_frequent" 7660 verbose 0 7660 categorical_features [] 7661 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 7661 handle_unknown "ignore" 7661 n_values "auto" 7661 sparse true 7661 threshold 0.0 7662 copy true 7663 with_mean false 7663 with_std true 7663 C 31.406141496632607 7708 cache_size 200 7708 class_weight null 7708 coef0 -0.969227113713518 7708 decision_function_shape null 7708 degree 2 7708 gamma 0.04651342901186553 7708 kernel "sigmoid" 7708 max_iter -1 7708 probability true 7708 random_state 25637 7708 shrinking false 7708 tol 0.0024221315429020936 7708 verbose false 7708 openml-pimp openml-python Sklearn_0.18.1. study_71 1491 one-hundred-plants-margin https://www.openml.org/data/download/1592283/phpCsX3fx -1 18335292 description https://api.openml.org/data/download/18335292/description.xml -1 18335293 predictions https://api.openml.org/data/download/18335293/predictions.arff area_under_roc_curve 0.9800753630050508 [0.963976,0.978575,0.999566,0.98982,0.968395,0.9869,0.989504,0.983823,0.981258,0.999882,0.976839,0.989938,0.961016,0.845802,0.988715,0.986387,0.981534,0.979246,0.952178,0.954545,0.974392,0.991753,0.930792,0.995936,0.98907,0.970486,0.956242,0.997238,0.998698,0.999961,0.947483,0.989938,0.994713,0.986032,0.961411,0.998698,0.982205,0.972775,0.996922,0.965515,0.985322,0.946851,0.982876,0.995581,0.993213,0.994594,0.993371,0.957741,0.996567,0.990136,0.985243,0.98986,0.997199,0.977391,0.987019,0.974787,0.999369,0.99858,0.981889,0.982086,0.979482,0.972656,0.988518,0.970526,0.999014,0.954901,0.977825,0.989702,0.994476,0.987098,0.976405,0.994515,0.984533,0.987453,0.97163,0.997199,0.999448,0.973682,0.997751,0.994239,0.976405,0.986664,0.923729,0.983783,0.998777,0.996725,0.999961,0.983349,0.997475,0.976562,0.991319,0.966225,0.960188,0.979443,0.988913,0.987847,0.976799,0.973406,0.920691,0.98039] average_cost 0 kappa 0.5031565656565657 kb_relative_information_score 662.7619563848858 mean_absolute_error 0.018457175943199514 mean_prior_absolute_error 0.019800000000000036 number_of_instances 1600 [16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16] predictive_accuracy 0.508125 prior_entropy 6.6438561897747395 recall 0.508125 [0.375,0.5625,1,0.0625,0.6875,0.125,0.9375,0.4375,0.4375,0.375,0.75,0.75,0.5625,0,0.75,0.875,0.75,0.5,0.1875,0.0625,0.375,0.4375,0.3125,0.8125,0.375,0.1875,0.25,0.75,0.6875,0.5625,0.8125,0.8125,0.625,0.5,0.375,0.4375,0.625,0.3125,0,0.5625,0.1875,0.6875,0.375,0.75,0.1875,0.3125,0,0,0.8125,0.875,0.3125,0.8125,0.625,0.1875,0.6875,0.3125,0.9375,0.9375,0.1875,0.5,0.25,0.3125,0.3125,0.5,0.75,0.5,0.1875,1,0.625,0.5625,0.3125,0.0625,0.5,0.625,0.3125,0.875,0.8125,0.25,0.75,0.9375,0.1875,0.6875,0.6875,0.375,0.8125,0.75,1,0.875,0.5625,0.5625,0.375,0.125,0.375,0.4375,0.8125,0.875,0.4375,0.0625,0,0.6875] relative_absolute_error 0.9321806031918931 root_mean_prior_squared_error 0.09949874371066209 root_mean_squared_error 0.09380828519403718 root_relative_squared_error 0.9428087400462813 total_cost 0 area_under_roc_curve 0.9755873835681868 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[1,0.984177,1,1,0.971519,0.993711,1,0.955975,0.977848,1,0.981132,1,0.936709,0.822785,0.996835,0.987421,1,1,0.943038,0.981132,0.946203,0.993671,0.937107,1,0.993671,1,0.987421,1,1,1,0.990506,0.987342,1,0.987421,0.977848,1,1,1,1,0.949686,1,0.946203,0.990506,1,0.996835,1,1,0.993671,1,0.993711,0.990506,0.984177,1,0.993671,0.987342,0.993711,1,0.993711,0.974684,0.977848,0.981013,0.993671,0.981013,0.990506,1,0.981132,0.993671,0.974843,0.987342,0.987421,0.981132,1,0.990506,0.984177,0.981013,0.996835,1,0.987421,0.993711,1,0.990506,0.968553,0.949686,1,0.996835,1,1,0.977848,1,0.943038,0.981013,0.996835,0.977848,0.958861,0.981132,0.984177,0.930818,0.974684,0.93038,0.937107] 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 kappa 0.5073035925779708 kappa 0.5451853606537961 kappa 0.5450955615226664 kappa 0.5264777839160287 kappa 0.4946703513620213 kappa 0.4695923280318876 kappa 0.4567706277141729 kappa 0.4883335307355206 kappa 0.5390686661404893 kappa 0.45711354848891345 kb_relative_information_score 65.9512128922303 kb_relative_information_score 67.0704266390756 kb_relative_information_score 67.96804642040334 kb_relative_information_score 67.4945234836201 kb_relative_information_score 66.76535464090409 kb_relative_information_score 64.57492955320093 kb_relative_information_score 65.62865610794114 kb_relative_information_score 65.73987946349813 kb_relative_information_score 66.43256697453617 kb_relative_information_score 65.1363602094775 mean_absolute_error 0.018458143790199034 mean_absolute_error 0.018414614758684437 mean_absolute_error 0.018363167319900335 mean_absolute_error 0.018379451240581008 mean_absolute_error 0.018463448283007923 mean_absolute_error 0.01853785475303117 mean_absolute_error 0.018485893082427308 mean_absolute_error 0.01847051133975525 mean_absolute_error 0.018439943122463588 mean_absolute_error 0.018558731741944792 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 number_of_instances 160 [1,2,2,1,2,1,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,1,1,1,2,2,2,2,1,2,2,2,2,2,1,1,1,1,2,1,1,2,2,2,2,1,1,2,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,1,2,2,1,1,1,2,1,2,2,1,2,2,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,1,2,2,1] number_of_instances 160 [1,2,2,1,2,1,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,1,1,1,2,2,2,2,1,2,2,2,2,2,1,1,1,1,2,1,1,2,2,2,2,1,1,2,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,1,2,2,1,1,1,2,1,2,2,1,2,2,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,1,2,2,1] number_of_instances 160 [2,2,2,1,2,2,1,2,2,2,2,2,1,2,2,2,2,2,1,2,1,1,2,1,1,2,2,1,2,2,1,2,2,2,1,1,1,1,1,2,2,1,1,1,2,1,2,1,2,2,2,1,1,2,1,2,1,2,1,2,1,1,2,1,2,2,2,2,1,2,2,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,1,1,2,2,1,2,2,1,2] number_of_instances 160 [2,2,2,1,2,2,1,2,2,2,2,2,1,2,2,2,2,2,1,2,1,1,2,1,1,2,2,1,2,2,1,2,2,2,1,1,1,1,1,2,2,1,1,1,2,1,2,1,2,2,2,1,1,2,1,2,1,2,1,2,1,1,2,1,2,2,2,2,1,2,2,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,1,1,2,2,1,2,2,1,2] number_of_instances 160 [2,1,2,2,1,2,1,2,1,2,2,2,1,1,1,2,2,2,1,2,2,2,2,2,2,2,2,1,1,2,1,1,2,2,1,2,2,2,2,2,2,2,1,1,1,1,2,2,2,2,1,1,2,1,2,2,1,2,2,1,2,2,1,1,2,2,1,2,2,2,2,2,1,1,2,1,2,2,2,1,1,2,2,2,1,1,1,1,2,2,1,2,1,1,2,1,2,1,1,2] number_of_instances 160 [2,1,2,2,1,2,1,2,1,2,2,2,1,1,1,2,2,2,1,2,2,2,2,2,2,2,2,1,1,2,1,1,2,2,1,2,2,2,2,2,2,2,1,1,1,1,2,2,2,2,1,1,2,1,2,2,1,2,2,1,2,2,1,1,2,2,1,2,2,2,2,2,1,1,2,1,2,2,2,1,1,2,2,2,1,1,1,1,2,2,1,2,1,1,2,1,2,1,1,2] number_of_instances 160 [2,1,1,2,1,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,2,2,2,2,2,1,1,2,1,2,2,1,1,1,2,2,2,2,2,1,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,2,1,1,1,1,1,2,1,2,2,2,2,2,1,1,2,1,2,2,1,1,2,2,1,2,2] number_of_instances 160 [2,1,1,2,1,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,2,2,2,2,2,1,1,2,1,2,2,1,1,1,2,2,2,2,2,1,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,2,1,1,1,1,1,2,1,2,2,2,2,2,1,1,2,1,2,2,1,1,2,2,1,2,2] number_of_instances 160 [1,2,1,2,2,1,2,1,2,1,1,1,2,2,2,1,1,1,2,1,2,2,1,2,2,1,1,2,2,1,2,2,1,1,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,2,2,1,1,2,1,2,1,1,1,2,2,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,2,2,2,2,1,2,1,2,2,1] number_of_instances 160 [1,2,1,2,2,1,2,1,2,1,1,1,2,2,2,1,1,1,2,1,2,2,1,2,2,1,1,2,2,1,2,2,1,1,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,2,2,1,1,2,1,2,1,1,1,2,2,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,2,2,2,2,1,2,1,2,2,1] predictive_accuracy 0.5125 predictive_accuracy 0.55 predictive_accuracy 0.55 predictive_accuracy 0.53125 predictive_accuracy 0.5 predictive_accuracy 0.475 predictive_accuracy 0.4625 predictive_accuracy 0.49375 predictive_accuracy 0.54375 predictive_accuracy 0.4625 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 recall 0.5125 [0,0.5,1,0,0.5,0,1,1,0,0,0.5,0.5,0.5,0,0.5,0,0,0.5,0,0,0,1,0,1,1,0.5,0,1,0.5,1,1,1,0.5,0.5,0.5,0,1,1,0,0.5,0,1,0,1,0.5,0,0,0,1,0.5,0.5,1,1,0.5,0,0,1,1,0,0.5,0,0,0.5,1,1,1,0,1,1,0,0.5,0,0.5,1,0,1,0.5,0,1,1,0,1,1,0,1,0.5,1,0.5,0,0,0.5,0,1,0.5,1,0.5,0,0,0,1] recall 0.55 [0,1,1,0,1,0,1,1,0.5,1,1,1,1,0,1,1,0,0.5,0.5,0,0,0,0,1,1,0,0.5,1,1,0,1,0.5,0.5,1,0.5,1,1,0,0,0.5,1,1,0.5,0,0.5,0,0,0,0.5,1,0.5,0.5,1,0,1,0,1,1,1,0,0,0,0,0.5,1,0.5,0.5,1,0,1,0.5,0,0,0.5,0,1,1,0.5,1,1,0,0.5,0,0,1,1,1,1,0.5,1,0.5,0,0.5,0.5,0.5,1,0,0,0,0] recall 0.55 [0.5,1,1,0,1,0,0,0,1,0.5,1,0.5,1,0,0.5,1,1,0.5,0,0,0,0,0,1,0,0.5,0.5,1,1,1,0,1,0.5,0.5,1,1,1,0,0,0.5,0,1,1,1,0,0,0,0,0.5,1,1,1,1,0,1,0.5,1,1,0,0.5,0,0,1,0,0.5,0.5,0,1,0,0.5,0.5,0,0,0.5,0,1,1,0.5,0.5,1,1,1,1,0.5,1,0,1,1,1,0,0,0,0,0,1,1,1,0,0,1] recall 0.53125 [0,1,1,0,0.5,0,1,0.5,0,0.5,1,0.5,0,0,1,1,1,1,0,0,0,1,1,1,0,0,0,1,1,1,1,1,0.5,0.5,1,1,1,0,0,0.5,0,0,1,1,0,1,0,0,1,1,0,1,1,0.5,1,0.5,1,1,0,0.5,0,0,0.5,1,1,0.5,0,1,1,0,0,0,1,0.5,1,1,0.5,0,0.5,1,0,0,1,0.5,1,1,1,1,0.5,0,0.5,0,0,0.5,0.5,1,0,0.5,0,0.5] recall 0.5 [0,0,1,0,1,0,1,0.5,0,0,0.5,0.5,0,0,1,1,1,0.5,0,0.5,1,0.5,0,1,0.5,0,0,1,1,0,1,1,0.5,0,1,0,0.5,0.5,0,1,0.5,1,0,0,0,0,0,0,1,1,0,0,0.5,1,0.5,0.5,0,1,0,1,0.5,0.5,0,0,0.5,0.5,1,1,0.5,0.5,0.5,0.5,1,0,0.5,1,0.5,0.5,1,1,1,1,0,0.5,1,0,1,1,1,1,0,0,0,1,0.5,1,1,0,0,0.5] recall 0.475 [0.5,0,1,0,1,0,1,0,1,0.5,1,1,0,0,1,1,1,1,0,0,0.5,0,0,1,0,0,0,1,1,0,1,1,0.5,0.5,1,0,0.5,0,0,0,0,0.5,0,1,0,1,0,0,0.5,0.5,0,1,0,0,0.5,0.5,1,1,0,1,0.5,0.5,0,1,0.5,0,1,1,1,1,0,0,1,1,0.5,1,1,0,0.5,1,0,0.5,0.5,0.5,0,1,1,1,1,1,0,0,0,1,1,1,0.5,0,0,0.5] recall 0.4625 [1,0,1,0,0,0.5,1,0.5,0,0.5,1,1,1,0,0,1,1,0,0,0,0.5,0.5,0,0,0.5,0,0,0.5,0,0.5,0.5,1,1,0,0,0,0.5,0.5,0,1,0.5,0,0.5,1,0,0.5,0,0,1,1,0,1,1,0,0.5,0,1,1,0.5,1,0,0,1,0,1,0,0,1,0.5,0.5,0,0,0.5,1,0,1,1,0,0,1,0,1,0.5,0.5,1,1,1,1,0,0.5,1,0,0,0,1,1,0.5,0,0,1] recall 0.49375 [0,0,1,0,0,0.5,1,1,0,0,1,1,0,0,1,0.5,1,0,0.5,0,0,0.5,0.5,1,0.5,0,1,0.5,0,0.5,0.5,1,1,0,0,1,0.5,0.5,0,1,0,1,0.5,1,0,0.5,0,0,1,1,0,1,0,0,1,0,1,1,0.5,1,0.5,0.5,0,0,0.5,0,0,1,0.5,0.5,0,0,1,1,0.5,1,1,0,1,1,0.5,1,1,0,0,0.5,1,1,1,0.5,1,0.5,0,1,1,0.5,0.5,0,0,1] recall 0.54375 [1,0.5,1,0.5,1,0,1,0,0.5,1,0,1,1,0,1,1,1,0,0.5,0,1,0.5,1,0.5,0,0,0,0.5,1,1,1,0.5,1,1,0,1,0.5,0,0,1,0,1,0,0.5,0.5,0,0,0,1,1,0.5,1,0.5,0,0.5,0,1,0,0,0.5,0.5,0.5,0,0.5,1,1,0,1,1,1,1,0,0,0.5,0.5,1,1,1,1,0.5,0,1,1,0,1,1,1,1,0,0.5,0.5,0,1,0.5,1,1,0,0,0,1] recall 0.4625 [1,0.5,1,0,0.5,0,1,0,1,0,0,1,0.5,0,0.5,1,1,0,0,0,0,0.5,1,1,0.5,1,1,0.5,0,1,1,0.5,1,1,0,0,0.5,0.5,0,0,0,0.5,0.5,1,0,0.5,0,0,1,1,0,0.5,1,0,1,1,1,1,0,0,0,0.5,0,1,1,1,0,1,0.5,1,0,0,0.5,0.5,0,0,1,0,1,1,0,0,1,1,1,1,1,0.5,0,0.5,0,0.5,0.5,0,1,1,0,0,0,0] relative_absolute_error 0.9322294843534852 relative_absolute_error 0.9300310484184044 relative_absolute_error 0.9274326929242578 relative_absolute_error 0.9282551131606555 relative_absolute_error 0.9324973880307017 relative_absolute_error 0.9362552905571283 relative_absolute_error 0.9336309637589534 relative_absolute_error 0.9328541080684455 relative_absolute_error 0.9313102587102807 relative_absolute_error 0.9373096839366041 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_squared_error 0.09383487691163518 root_mean_squared_error 0.09356782430020252 root_mean_squared_error 0.09336461916659791 root_mean_squared_error 0.09344975255083791 root_mean_squared_error 0.0938421846804165 root_mean_squared_error 0.09418484810844525 root_mean_squared_error 0.09392496639877418 root_mean_squared_error 0.09391806158214469 root_mean_squared_error 0.09373108254066452 root_mean_squared_error 0.09426056863725434 root_relative_squared_error 0.9430759968638686 root_relative_squared_error 0.9403920171323331 root_relative_squared_error 0.9383497286970587 root_relative_squared_error 0.9392053514020806 root_relative_squared_error 0.9431494427035723 root_relative_squared_error 0.9465933397343249 root_relative_squared_error 0.9439814302771885 root_relative_squared_error 0.943912034258988 root_relative_squared_error 0.9420328241855028 root_relative_squared_error 0.9473543596827705 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 usercpu_time_millis 1620.064882990846 usercpu_time_millis 1423.5484699966037 usercpu_time_millis 1415.1936599955661 usercpu_time_millis 1417.478522998863 usercpu_time_millis 1437.9200690018479 usercpu_time_millis 1433.1030960020144 usercpu_time_millis 1437.6877110044006 usercpu_time_millis 1438.4752460027812 usercpu_time_millis 1425.4205109973554 usercpu_time_millis 1434.7296560008544 usercpu_time_millis_testing 157.05462199548492 usercpu_time_millis_testing 165.73819099721732 usercpu_time_millis_testing 156.7776709998725 usercpu_time_millis_testing 156.31889299402246 usercpu_time_millis_testing 165.079282996885 usercpu_time_millis_testing 156.30291499837767 usercpu_time_millis_testing 164.008443003695 usercpu_time_millis_testing 164.82824500417337 usercpu_time_millis_testing 154.87428999767872 usercpu_time_millis_testing 165.2252190033323 usercpu_time_millis_training 1463.010260995361 usercpu_time_millis_training 1257.8102789993864 usercpu_time_millis_training 1258.4159889956936 usercpu_time_millis_training 1261.1596300048404 usercpu_time_millis_training 1272.8407860049629 usercpu_time_millis_training 1276.8001810036367 usercpu_time_millis_training 1273.6792680007056 usercpu_time_millis_training 1273.6470009986078 usercpu_time_millis_training 1270.5462209996767 usercpu_time_millis_training 1269.5044369975221