10070653 1 Jan van Rijn 14 Supervised Classification 8815 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier)(1) 7995541 axis 0 8778 copy true 8778 missing_values "NaN" 8778 strategy "median" 8778 verbose 0 8778 copy true 8779 with_mean true 8779 with_std true 8779 memory null 8780 copy true 8781 fill_value -1 8781 missing_values NaN 8781 strategy "constant" 8781 verbose 0 8781 categorical_features null 8782 categories null 8782 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 8782 handle_unknown "ignore" 8782 n_values null 8782 sparse true 8782 class_weight null 8783 criterion "gini" 8783 max_depth null 8783 max_features 1.0 8783 max_leaf_nodes null 8783 min_impurity_decrease 0.0 8783 min_impurity_split null 8783 min_samples_leaf 3 8783 min_samples_split 17 8783 min_weight_fraction_leaf 0.0 8783 presort false 8783 random_state 19180 8783 splitter "best" 8783 n_jobs null 8812 remainder "passthrough" 8812 sparse_threshold 0.3 8812 transformer_weights null 8812 memory null 8813 memory null 8815 threshold 0.0 8816 openml-python Sklearn_0.20.0. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 21061842 description https://api.openml.org/data/download/21061842/description.xml -1 21061843 predictions https://api.openml.org/data/download/21061843/predictions.arff area_under_roc_curve 0.9110915277777777 [0.994619,0.870797,0.944701,0.925511,0.875961,0.938142,0.807151,0.95645,0.980297,0.817285] average_cost 0 f_measure 0.7565897070848654 [0.975369,0.693976,0.894057,0.80798,0.654822,0.817955,0.508235,0.793103,0.942708,0.47769] kappa 0.7283333333333333 kb_relative_information_score 1513.0225341444939 mean_absolute_error 0.05391631521256546 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7590916662287047 [0.961165,0.669767,0.925134,0.80597,0.664948,0.81592,0.48,0.781553,0.983696,0.502762] predictive_accuracy 0.7555 prior_entropy 3.321928094887362 recall 0.7555 [0.99,0.72,0.865,0.81,0.645,0.82,0.54,0.805,0.905,0.455] relative_absolute_error 0.2995350845142433 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.19912769790369972 root_relative_squared_error 0.6637589930123222 total_cost 0 area_under_roc_curve 0.9309305555555557 [1,0.929583,0.940556,0.944583,0.905972,0.997639,0.82625,0.962361,0.974028,0.828333] area_under_roc_curve 0.9023333333333333 [0.974722,0.869028,0.894861,0.917222,0.841528,0.900417,0.825139,0.969167,0.973056,0.858194] area_under_roc_curve 0.8829305555555556 [1,0.853889,0.92125,0.877361,0.893194,0.862778,0.690278,0.915,1,0.815556] area_under_roc_curve 0.925888888888889 [1,0.805972,0.973333,0.993889,0.904028,0.99625,0.838611,0.889028,0.974583,0.883194] area_under_roc_curve 0.916125 [0.999722,0.841528,0.945139,0.938056,0.922778,0.912917,0.880417,0.948333,0.97125,0.801111] area_under_roc_curve 0.9298472222222223 [1,0.938889,0.99625,0.929861,0.892639,0.964444,0.832083,0.9625,0.999861,0.781944] area_under_roc_curve 0.903625 [1,0.86625,0.874306,0.93875,0.846806,0.936944,0.806944,0.990278,0.99875,0.777222] area_under_roc_curve 0.9061944444444446 [0.974583,0.887361,0.9425,0.883889,0.816111,0.967083,0.874306,0.963056,0.968889,0.784167] area_under_roc_curve 0.9087777777777779 [1,0.835139,0.995972,0.972083,0.8625,0.9175,0.717361,0.982778,1,0.804444] area_under_roc_curve 0.9060277777777777 [0.997222,0.877222,0.969167,0.86375,0.874028,0.923333,0.784861,0.985972,0.94125,0.843472] 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 0.769534093036401 [0.97561,0.765957,0.85,0.85,0.717949,0.923077,0.47619,0.756757,0.947368,0.432432] f_measure 0.716015782758846 [0.926829,0.65,0.864865,0.789474,0.564103,0.6,0.465116,0.826087,0.947368,0.526316] f_measure 0.724784675159037 [1,0.697674,0.918919,0.717949,0.744186,0.756757,0.355556,0.722222,0.97561,0.358974] f_measure 0.8015266104066593 [1,0.65,0.923077,0.837209,0.711111,0.947368,0.615385,0.756757,0.974359,0.6] f_measure 0.7433292250622162 [0.97561,0.628571,0.918919,0.857143,0.65,0.7,0.52381,0.755556,0.95,0.473684] f_measure 0.7838507312735026 [0.97561,0.829268,0.95,0.761905,0.684211,0.878049,0.625,0.8,0.947368,0.387097] f_measure 0.75470736477839 [0.97561,0.608696,0.857143,0.769231,0.628571,0.857143,0.55814,0.818182,0.974359,0.5] f_measure 0.7130893096009374 [0.974359,0.666667,0.864865,0.761905,0.540541,0.837209,0.5,0.666667,0.857143,0.461538] f_measure 0.7908309589856607 [1,0.777778,0.95,0.923077,0.594595,0.790698,0.457143,0.869565,1,0.545455] f_measure 0.7551600245310128 [0.952381,0.666667,0.844444,0.810811,0.682927,0.894737,0.5,0.904762,0.833333,0.461538] kappa 0.7444444444444445 kappa 0.6833333333333333 kappa 0.6888888888888889 kappa 0.7777777777777778 kappa 0.7166666666666667 kappa 0.7666666666666667 kappa 0.7277777777777777 kappa 0.6777777777777777 kappa 0.7722222222222223 kappa 0.7277777777777777 kb_relative_information_score 156.14779919761503 kb_relative_information_score 148.13863616377614 kb_relative_information_score 145.3887241634207 kb_relative_information_score 156.9866124766578 kb_relative_information_score 149.12029563910238 kb_relative_information_score 157.51621042784228 kb_relative_information_score 150.16152032991863 kb_relative_information_score 145.25474457896917 kb_relative_information_score 155.17932989616952 kb_relative_information_score 149.12866127104743 mean_absolute_error 0.04899570845820846 mean_absolute_error 0.05678688672438669 mean_absolute_error 0.058712731712731676 mean_absolute_error 0.049272256909756916 mean_absolute_error 0.05670585664335662 mean_absolute_error 0.04969996669996668 mean_absolute_error 0.05270275002775 mean_absolute_error 0.06061177988677989 mean_absolute_error 0.04975817099567098 mean_absolute_error 0.055917044067044064 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] precision 0.7751921246967686 [0.952381,0.666667,0.85,0.85,0.736842,0.947368,0.454545,0.823529,1,0.470588] precision 0.7229326472124966 [0.904762,0.65,0.941176,0.833333,0.578947,0.6,0.434783,0.730769,1,0.555556] precision 0.7361499608996916 [1,0.652174,1,0.736842,0.695652,0.823529,0.32,0.8125,0.952381,0.368421] precision 0.8075085475837932 [1,0.65,0.947368,0.782609,0.64,1,0.631579,0.823529,1,0.6] precision 0.7483896103896105 [0.952381,0.733333,1,0.818182,0.65,0.7,0.5,0.68,0.95,0.5] precision 0.78997113997114 [0.952381,0.809524,0.95,0.727273,0.722222,0.857143,0.535714,0.8,1,0.545455] precision 0.7666070457002951 [0.952381,0.538462,1,0.789474,0.733333,0.818182,0.521739,0.75,1,0.5625] precision 0.7365851674418473 [1,0.548387,0.941176,0.727273,0.588235,0.782609,0.458333,0.846154,1,0.473684] precision 0.7961121781928755 [1,0.875,0.95,0.947368,0.647059,0.73913,0.533333,0.769231,1,0.5] precision 0.7645708868874505 [0.909091,0.75,0.76,0.882353,0.666667,0.944444,0.458333,0.863636,0.9375,0.473684] predictive_accuracy 0.77 predictive_accuracy 0.715 predictive_accuracy 0.72 predictive_accuracy 0.8 predictive_accuracy 0.745 predictive_accuracy 0.79 predictive_accuracy 0.755 predictive_accuracy 0.71 predictive_accuracy 0.795 predictive_accuracy 0.755 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 recall 0.77 [1,0.9,0.85,0.85,0.7,0.9,0.5,0.7,0.9,0.4] recall 0.715 [0.95,0.65,0.8,0.75,0.55,0.6,0.5,0.95,0.9,0.5] recall 0.72 [1,0.75,0.85,0.7,0.8,0.7,0.4,0.65,1,0.35] recall 0.8 [1,0.65,0.9,0.9,0.8,0.9,0.6,0.7,0.95,0.6] recall 0.745 [1,0.55,0.85,0.9,0.65,0.7,0.55,0.85,0.95,0.45] recall 0.79 [1,0.85,0.95,0.8,0.65,0.9,0.75,0.8,0.9,0.3] recall 0.755 [1,0.7,0.75,0.75,0.55,0.9,0.6,0.9,0.95,0.45] recall 0.71 [0.95,0.85,0.8,0.8,0.5,0.9,0.55,0.55,0.75,0.45] recall 0.795 [1,0.7,0.95,0.9,0.55,0.85,0.4,1,1,0.6] recall 0.755 [1,0.6,0.95,0.75,0.7,0.85,0.55,0.95,0.75,0.45] relative_absolute_error 0.2721983803233806 relative_absolute_error 0.31548270402437084 relative_absolute_error 0.3261818428485097 relative_absolute_error 0.27373476060976093 relative_absolute_error 0.31503253690753713 relative_absolute_error 0.2761109261109263 relative_absolute_error 0.2927930557097226 relative_absolute_error 0.3367321104821109 relative_absolute_error 0.2764342833092835 relative_absolute_error 0.3106502448169118 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_squared_error 0.18866259584296569 root_mean_squared_error 0.20661706429287932 root_mean_squared_error 0.21409198603829424 root_mean_squared_error 0.18680945813920508 root_mean_squared_error 0.2036780660088073 root_mean_squared_error 0.18437819434171848 root_mean_squared_error 0.20045254518524477 root_mean_squared_error 0.21137645149959525 root_mean_squared_error 0.1907031800292673 root_mean_squared_error 0.20197044126824992 root_relative_squared_error 0.6288753194765526 root_relative_squared_error 0.6887235476429315 root_relative_squared_error 0.7136399534609812 root_relative_squared_error 0.6226981937973507 root_relative_squared_error 0.6789268866960247 root_relative_squared_error 0.614593981139062 root_relative_squared_error 0.668175150617483 root_relative_squared_error 0.7045881716653178 root_relative_squared_error 0.6356772667642246 root_relative_squared_error 0.6732348042275 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 186.9278359999953 usercpu_time_millis 176.02978599984453 usercpu_time_millis 174.7173369999473 usercpu_time_millis 170.5332010001257 usercpu_time_millis 142.07416900012504 usercpu_time_millis 142.2522000002573 usercpu_time_millis 145.05983399999423 usercpu_time_millis 145.04695799996625 usercpu_time_millis 144.46307200000774 usercpu_time_millis 141.53374100010296 usercpu_time_millis_testing 1.8167499999890424 usercpu_time_millis_testing 1.8206229999577772 usercpu_time_millis_testing 1.8403599999601283 usercpu_time_millis_testing 1.5107270000953577 usercpu_time_millis_testing 1.4638200000263168 usercpu_time_millis_testing 1.6210820001560933 usercpu_time_millis_testing 1.544601999967199 usercpu_time_millis_testing 1.4556249998349813 usercpu_time_millis_testing 1.4759969999431632 usercpu_time_millis_testing 1.5557389999685256 usercpu_time_millis_training 185.11108600000625 usercpu_time_millis_training 174.20916299988676 usercpu_time_millis_training 172.87697699998716 usercpu_time_millis_training 169.02247400003034 usercpu_time_millis_training 140.61034900009872 usercpu_time_millis_training 140.6311180001012 usercpu_time_millis_training 143.51523200002703 usercpu_time_millis_training 143.59133300013127 usercpu_time_millis_training 142.98707500006458 usercpu_time_millis_training 139.97800200013444