10144291 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) 8069880 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 "entropy" 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 10 8783 min_samples_split 7 8783 min_weight_fraction_leaf 0.0 8783 presort false 8783 random_state 25162 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 21209120 description https://api.openml.org/data/download/21209120/description.xml -1 21209122 predictions https://api.openml.org/data/download/21209122/predictions.arff area_under_roc_curve 0.9303565277777779 [0.988689,0.882012,0.967064,0.941118,0.916381,0.944494,0.848425,0.975429,0.975153,0.8648] average_cost 0 f_measure 0.7628443286237421 [0.962594,0.689157,0.908629,0.813725,0.709512,0.838875,0.49635,0.833333,0.935323,0.440945] kappa 0.7372222222222222 kb_relative_information_score 1532.9609306442558 mean_absolute_error 0.05470115343720636 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7630371574786736 [0.960199,0.665116,0.92268,0.798077,0.730159,0.858639,0.483412,0.817308,0.930693,0.464088] predictive_accuracy 0.7635 prior_entropy 3.321928094887362 recall 0.7635 [0.965,0.715,0.895,0.83,0.69,0.82,0.51,0.85,0.94,0.42] relative_absolute_error 0.3038952968733593 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.1910444431687692 root_relative_squared_error 0.6368148105625542 total_cost 0 area_under_roc_curve 0.9439583333333335 [0.999861,0.943194,0.990278,0.940694,0.936111,0.968333,0.858472,0.988611,0.998333,0.815694] area_under_roc_curve 0.9067083333333334 [0.971528,0.912083,0.917917,0.903611,0.798472,0.89125,0.860139,0.98875,0.948333,0.875] area_under_roc_curve 0.9338750000000001 [0.999583,0.874444,0.945417,0.934444,0.985139,0.990417,0.836528,0.943056,0.999861,0.829861] area_under_roc_curve 0.9186527777777779 [0.97125,0.868889,0.97,0.984861,0.945417,0.879861,0.793611,0.968472,0.949167,0.855] area_under_roc_curve 0.9194722222222222 [0.997222,0.843333,0.946111,0.915139,0.901528,0.946111,0.874306,0.928333,0.996667,0.845972] area_under_roc_curve 0.9419444444444445 [1,0.915694,0.998333,0.964028,0.920139,0.936111,0.8525,0.99,0.998194,0.844444] area_under_roc_curve 0.9450972222222224 [0.999583,0.8975,0.947639,0.912222,0.979583,0.980694,0.892917,0.985417,0.974583,0.880833] area_under_roc_curve 0.9180416666666666 [0.974306,0.795139,0.997083,0.923889,0.847361,0.990417,0.839306,0.985556,0.920417,0.906944] area_under_roc_curve 0.9534305555555557 [0.974444,0.890556,0.995278,0.989722,0.9525,0.917222,0.887361,0.989167,0.999722,0.938333] area_under_roc_curve 0.9224861111111111 [0.999583,0.877639,0.964028,0.941111,0.902639,0.9425,0.785417,0.991111,0.969444,0.851389] 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 0.7645620986403743 [0.97561,0.682927,0.9,0.85,0.75,0.923077,0.465116,0.820513,0.9,0.378378] f_measure 0.7180252304924136 [0.923077,0.697674,0.864865,0.75,0.585366,0.666667,0.363636,0.871795,0.947368,0.509804] f_measure 0.7496940152427958 [0.974359,0.666667,0.918919,0.820513,0.791667,0.857143,0.5,0.777778,0.97561,0.214286] f_measure 0.7846532688413987 [0.95,0.666667,0.95,0.851064,0.727273,0.777778,0.578947,0.833333,0.947368,0.564103] f_measure 0.7494632608788128 [0.97561,0.564103,0.894737,0.8,0.685714,0.9,0.511628,0.782609,0.930233,0.45] f_measure 0.7417876547896708 [1,0.711111,0.95,0.837209,0.647059,0.8,0.30303,0.818182,0.930233,0.421053] f_measure 0.792309216089704 [0.974359,0.780488,0.923077,0.810811,0.769231,0.829268,0.622222,0.863636,0.95,0.4] f_measure 0.7690216919661782 [0.95,0.65,0.930233,0.727273,0.709677,0.95,0.512821,0.837209,0.864865,0.55814] f_measure 0.7854473133204151 [0.974359,0.7,0.871795,0.837209,0.736842,0.756757,0.622222,0.909091,0.97561,0.470588] f_measure 0.7485836007645423 [0.930233,0.761905,0.878049,0.85,0.666667,0.918919,0.409091,0.810811,0.926829,0.333333] kappa 0.7388888888888889 kappa 0.6833333333333333 kappa 0.7333333333333334 kappa 0.7611111111111112 kappa 0.7222222222222222 kappa 0.7277777777777777 kappa 0.7722222222222223 kappa 0.7444444444444445 kappa 0.7666666666666667 kappa 0.7222222222222222 kb_relative_information_score 154.48369364742024 kb_relative_information_score 143.22774577897425 kb_relative_information_score 153.36963160604012 kb_relative_information_score 153.2454348105422 kb_relative_information_score 152.62052795149953 kb_relative_information_score 151.75719244940555 kb_relative_information_score 157.25952127014628 kb_relative_information_score 153.02555814725696 kb_relative_information_score 161.04354438461934 kb_relative_information_score 152.9280805983724 mean_absolute_error 0.05292293758013572 mean_absolute_error 0.06397306226625109 mean_absolute_error 0.05570012307953481 mean_absolute_error 0.05429610018464508 mean_absolute_error 0.05483726359639669 mean_absolute_error 0.055957335071189516 mean_absolute_error 0.051235816557024 mean_absolute_error 0.05334152185533763 mean_absolute_error 0.047836024175343016 mean_absolute_error 0.05691135000620291 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 0.765506861783615 [0.952381,0.666667,0.9,0.85,0.75,0.947368,0.434783,0.842105,0.9,0.411765] precision 0.7321988044782108 [0.947368,0.652174,0.941176,0.75,0.571429,0.684211,0.461538,0.894737,1,0.419355] precision 0.7606174527227157 [1,0.636364,1,0.842105,0.678571,0.818182,0.428571,0.875,0.952381,0.375] precision 0.7946329523303207 [0.95,0.636364,0.95,0.740741,0.666667,0.875,0.611111,0.9375,1,0.578947] precision 0.7599239877843997 [0.952381,0.578947,0.944444,0.933333,0.8,0.9,0.478261,0.692308,0.869565,0.45] precision 0.7406948027817593 [1,0.64,0.95,0.782609,0.785714,0.8,0.384615,0.75,0.869565,0.444444] precision 0.7958956951201535 [1,0.761905,0.947368,0.882353,0.789474,0.809524,0.56,0.791667,0.95,0.466667] precision 0.7858071970206848 [0.95,0.65,0.869565,0.666667,1,0.95,0.526316,0.782609,0.941176,0.521739] precision 0.7895795584442777 [1,0.7,0.894737,0.782609,0.777778,0.823529,0.56,0.833333,0.952381,0.571429] precision 0.7525306174061055 [0.869565,0.727273,0.857143,0.85,0.684211,1,0.375,0.882353,0.904762,0.375] predictive_accuracy 0.765 predictive_accuracy 0.715 predictive_accuracy 0.76 predictive_accuracy 0.785 predictive_accuracy 0.75 predictive_accuracy 0.755 predictive_accuracy 0.795 predictive_accuracy 0.77 predictive_accuracy 0.79 predictive_accuracy 0.75 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 0.765 [1,0.7,0.9,0.85,0.75,0.9,0.5,0.8,0.9,0.35] recall 0.715 [0.9,0.75,0.8,0.75,0.6,0.65,0.3,0.85,0.9,0.65] recall 0.76 [0.95,0.7,0.85,0.8,0.95,0.9,0.6,0.7,1,0.15] recall 0.785 [0.95,0.7,0.95,1,0.8,0.7,0.55,0.75,0.9,0.55] recall 0.75 [1,0.55,0.85,0.7,0.6,0.9,0.55,0.9,1,0.45] recall 0.755 [1,0.8,0.95,0.9,0.55,0.8,0.25,0.9,1,0.4] recall 0.795 [0.95,0.8,0.9,0.75,0.75,0.85,0.7,0.95,0.95,0.35] recall 0.77 [0.95,0.65,1,0.8,0.55,0.95,0.5,0.9,0.8,0.6] recall 0.79 [0.95,0.7,0.85,0.9,0.7,0.7,0.7,1,1,0.4] recall 0.75 [1,0.8,0.9,0.85,0.65,0.85,0.45,0.75,0.95,0.3] relative_absolute_error 0.2940163198896432 relative_absolute_error 0.35540590147917306 relative_absolute_error 0.3094451282196382 relative_absolute_error 0.3016450010258063 relative_absolute_error 0.3046514644244264 relative_absolute_error 0.31087408372883096 relative_absolute_error 0.28464342531680026 relative_absolute_error 0.2963417880852094 relative_absolute_error 0.26575568986301706 relative_absolute_error 0.31617416670112763 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 0.18935394130285677 root_mean_squared_error 0.21299529984979176 root_mean_squared_error 0.18896788643464674 root_mean_squared_error 0.19223343298353815 root_mean_squared_error 0.19492955764564712 root_mean_squared_error 0.18918317504622123 root_mean_squared_error 0.18218079186143288 root_mean_squared_error 0.19403049525530017 root_mean_squared_error 0.17117956438767523 root_mean_squared_error 0.19278848905129295 root_relative_squared_error 0.6311798043428563 root_relative_squared_error 0.7099843328326396 root_relative_squared_error 0.6298929547821561 root_relative_squared_error 0.6407781099451276 root_relative_squared_error 0.6497651921521574 root_relative_squared_error 0.6306105834874045 root_relative_squared_error 0.6072693062047767 root_relative_squared_error 0.6467683175176675 root_relative_squared_error 0.5705985479589177 root_relative_squared_error 0.6426282968376436 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 597.2376110003097 usercpu_time_millis 545.3068179995171 usercpu_time_millis 531.5983740001684 usercpu_time_millis 527.2880650009029 usercpu_time_millis 524.2957719965489 usercpu_time_millis 527.5645640031144 usercpu_time_millis 530.8125189985731 usercpu_time_millis 523.6925579993112 usercpu_time_millis 517.1943769964855 usercpu_time_millis 529.3675920001988 usercpu_time_millis_testing 1.7550140000821557 usercpu_time_millis_testing 1.874851997854421 usercpu_time_millis_testing 1.7751600025803782 usercpu_time_millis_testing 1.7852249984571245 usercpu_time_millis_testing 1.7232979989785235 usercpu_time_millis_testing 1.69425400235923 usercpu_time_millis_testing 1.550586999655934 usercpu_time_millis_testing 1.743370001349831 usercpu_time_millis_testing 1.8671959987841547 usercpu_time_millis_testing 1.4060549983696546 usercpu_time_millis_training 595.4825970002275 usercpu_time_millis_training 543.4319660016627 usercpu_time_millis_training 529.823213997588 usercpu_time_millis_training 525.5028400024457 usercpu_time_millis_training 522.5724739975703 usercpu_time_millis_training 525.8703100007551 usercpu_time_millis_training 529.2619319989171 usercpu_time_millis_training 521.9491879979614 usercpu_time_millis_training 515.3271809977014 usercpu_time_millis_training 527.9615370018291