10078999 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) 8003963 axis 0 8778 copy true 8778 missing_values "NaN" 8778 strategy "mean" 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 1 8783 min_samples_split 12 8783 min_weight_fraction_leaf 0.0 8783 presort false 8783 random_state 2822 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 21078534 description https://api.openml.org/data/download/21078534/description.xml -1 21078535 predictions https://api.openml.org/data/download/21078535/predictions.arff area_under_roc_curve 0.8916229166666666 [0.993875,0.848686,0.940832,0.901813,0.861337,0.919318,0.766833,0.938086,0.977119,0.768329] average_cost 0 f_measure 0.7540552039453409 [0.985075,0.678049,0.873096,0.789873,0.674817,0.823529,0.504808,0.79602,0.930591,0.484694] kappa 0.725 kb_relative_information_score 1505.6921965545378 mean_absolute_error 0.05159329365079396 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7562573681734086 [0.980198,0.661905,0.886598,0.8,0.660287,0.842932,0.486111,0.792079,0.957672,0.494792] predictive_accuracy 0.7525 prior_entropy 3.321928094887362 recall 0.7525 [0.99,0.695,0.86,0.78,0.69,0.805,0.525,0.8,0.905,0.475] relative_absolute_error 0.2866294091710687 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.20751001267918248 root_relative_squared_error 0.691700042263931 total_cost 0 area_under_roc_curve 0.902138888888889 [1,0.901111,0.910972,0.94375,0.882361,0.948889,0.737361,0.915139,0.974028,0.807778] area_under_roc_curve 0.8930000000000001 [0.972222,0.874861,0.892222,0.916528,0.822917,0.904028,0.812083,0.969028,0.97375,0.792361] area_under_roc_curve 0.8699583333333333 [1,0.879167,0.923333,0.810278,0.873333,0.889444,0.656667,0.919444,0.997222,0.750694] area_under_roc_curve 0.9126666666666666 [1,0.828611,0.945694,0.944028,0.892083,0.947361,0.842639,0.888194,0.974861,0.863194] area_under_roc_curve 0.8720694444444445 [0.997222,0.746528,0.972917,0.907222,0.85375,0.831806,0.782361,0.948194,0.971667,0.709028] area_under_roc_curve 0.9094722222222222 [1,0.936944,0.996806,0.863611,0.905278,0.944583,0.809583,0.939306,0.999583,0.699028] area_under_roc_curve 0.894263888888889 [1,0.829722,0.872222,0.91625,0.8525,0.9125,0.819444,0.960139,0.996111,0.78375] area_under_roc_curve 0.8867777777777779 [0.974583,0.859861,0.941667,0.882917,0.802222,0.969306,0.81125,0.915,0.945,0.765972] area_under_roc_curve 0.8958749999999999 [1,0.787361,0.990417,0.967361,0.880556,0.917917,0.673333,0.988611,0.997222,0.755972] area_under_roc_curve 0.8794305555555556 [0.994444,0.832361,0.965,0.868611,0.849444,0.924167,0.725,0.939306,0.939861,0.756111] 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 0.7639635293293828 [1,0.755556,0.809524,0.829268,0.714286,0.918919,0.487805,0.756757,0.923077,0.444444] f_measure 0.7360378383484931 [0.95,0.666667,0.842105,0.842105,0.540541,0.634146,0.52381,0.863636,0.947368,0.55] f_measure 0.7199727677988548 [1,0.714286,0.918919,0.648649,0.695652,0.777778,0.333333,0.777778,0.952381,0.380952] f_measure 0.792575234855631 [1,0.65,0.894737,0.857143,0.693878,0.918919,0.594595,0.756757,0.974359,0.585366] f_measure 0.7181768888572485 [0.97561,0.540541,0.894737,0.761905,0.65,0.684211,0.52381,0.727273,0.95,0.473684] f_measure 0.7831210532330377 [1,0.790698,0.926829,0.702703,0.75,0.878049,0.595745,0.769231,0.947368,0.470588] f_measure 0.7631637069441948 [1,0.7,0.833333,0.780488,0.648649,0.829268,0.545455,0.844444,0.95,0.5] f_measure 0.7256835328616998 [0.974359,0.627451,0.842105,0.761905,0.615385,0.878049,0.511628,0.727273,0.857143,0.461538] f_measure 0.7811759836583327 [1,0.6875,0.904762,0.9,0.736842,0.829268,0.444444,0.844444,0.97561,0.488889] f_measure 0.7457208956952218 [0.952381,0.631579,0.863636,0.8,0.682927,0.894737,0.47619,0.857143,0.810811,0.487805] kappa 0.7388888888888889 kappa 0.7055555555555556 kappa 0.6833333333333333 kappa 0.7666666666666667 kappa 0.6888888888888889 kappa 0.7611111111111112 kappa 0.7388888888888889 kappa 0.6888888888888889 kappa 0.7611111111111112 kappa 0.7166666666666667 kb_relative_information_score 154.49664966030122 kb_relative_information_score 149.5915482039085 kb_relative_information_score 144.83858557084207 kb_relative_information_score 157.14300074507676 kb_relative_information_score 143.32685172483878 kb_relative_information_score 157.23022190883287 kb_relative_information_score 151.07586238544928 kb_relative_information_score 145.4468412231914 kb_relative_information_score 154.59725812329782 kb_relative_information_score 147.94537700882896 mean_absolute_error 0.04816471861471862 mean_absolute_error 0.05233708513708511 mean_absolute_error 0.056309559884559865 mean_absolute_error 0.04609852092352092 mean_absolute_error 0.05946911976911972 mean_absolute_error 0.0443994227994228 mean_absolute_error 0.049513311688311676 mean_absolute_error 0.05798906926406924 mean_absolute_error 0.047058008658008646 mean_absolute_error 0.05459411976911976 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 0.7691157573077078 [1,0.68,0.772727,0.809524,0.681818,1,0.47619,0.823529,0.947368,0.5] precision 0.7413090993973347 [0.95,0.636364,0.888889,0.888889,0.588235,0.619048,0.5,0.791667,1,0.55] precision 0.7343994241053065 [1,0.681818,1,0.705882,0.615385,0.875,0.318182,0.875,0.909091,0.363636] precision 0.8040849965900675 [1,0.65,0.944444,0.818182,0.586207,1,0.647059,0.823529,1,0.571429] precision 0.7201222307104661 [0.952381,0.588235,0.944444,0.727273,0.65,0.722222,0.5,0.666667,0.95,0.5] precision 0.7895161853197926 [1,0.73913,0.904762,0.764706,0.75,0.857143,0.518519,0.789474,1,0.571429] precision 0.7687310924369748 [1,0.7,0.9375,0.761905,0.705882,0.809524,0.5,0.76,0.95,0.5625] precision 0.7496034456099414 [1,0.516129,0.888889,0.727273,0.631579,0.857143,0.478261,0.923077,1,0.473684] precision 0.7919985569985569 [1,0.916667,0.863636,0.9,0.777778,0.809524,0.5,0.76,0.952381,0.44] precision 0.7543139376962905 [0.909091,0.666667,0.791667,0.933333,0.666667,0.944444,0.454545,0.818182,0.882353,0.47619] predictive_accuracy 0.765 predictive_accuracy 0.735 predictive_accuracy 0.715 predictive_accuracy 0.79 predictive_accuracy 0.72 predictive_accuracy 0.785 predictive_accuracy 0.765 predictive_accuracy 0.72 predictive_accuracy 0.785 predictive_accuracy 0.745 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 [1,0.85,0.85,0.85,0.75,0.85,0.5,0.7,0.9,0.4] recall 0.735 [0.95,0.7,0.8,0.8,0.5,0.65,0.55,0.95,0.9,0.55] recall 0.715 [1,0.75,0.85,0.6,0.8,0.7,0.35,0.7,1,0.4] recall 0.79 [1,0.65,0.85,0.9,0.85,0.85,0.55,0.7,0.95,0.6] recall 0.72 [1,0.5,0.85,0.8,0.65,0.65,0.55,0.8,0.95,0.45] recall 0.785 [1,0.85,0.95,0.65,0.75,0.9,0.7,0.75,0.9,0.4] recall 0.765 [1,0.7,0.75,0.8,0.6,0.85,0.6,0.95,0.95,0.45] recall 0.72 [0.95,0.8,0.8,0.8,0.6,0.9,0.55,0.6,0.75,0.45] recall 0.785 [1,0.55,0.95,0.9,0.7,0.85,0.4,0.95,1,0.55] recall 0.745 [1,0.6,0.95,0.7,0.7,0.85,0.5,0.9,0.75,0.5] relative_absolute_error 0.2675817700817704 relative_absolute_error 0.2907615840949176 relative_absolute_error 0.31283088824755517 relative_absolute_error 0.25610289401956093 relative_absolute_error 0.3303839987173321 relative_absolute_error 0.24666345999679362 relative_absolute_error 0.27507395382395405 relative_absolute_error 0.3221614959114962 relative_absolute_error 0.2614333814333817 relative_absolute_error 0.30330066538399897 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 0.20017107959341468 root_mean_squared_error 0.20994062327110316 root_mean_squared_error 0.22184004517658032 root_mean_squared_error 0.19211685136896833 root_mean_squared_error 0.22428142568641074 root_mean_squared_error 0.19313076109541133 root_mean_squared_error 0.20495768142590795 root_mean_squared_error 0.21447236838742464 root_mean_squared_error 0.1985634391180224 root_mean_squared_error 0.2128461906434385 root_relative_squared_error 0.6672369319780493 root_relative_squared_error 0.6998020775703444 root_relative_squared_error 0.7394668172552682 root_relative_squared_error 0.6403895045632281 root_relative_squared_error 0.7476047522880362 root_relative_squared_error 0.6437692036513716 root_relative_squared_error 0.6831922714196935 root_relative_squared_error 0.7149078946247492 root_relative_squared_error 0.6618781303934084 root_relative_squared_error 0.7094873021447954 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 189.6953539999231 usercpu_time_millis 179.13526600023033 usercpu_time_millis 178.3111739996457 usercpu_time_millis 151.51797400085343 usercpu_time_millis 128.12318399937794 usercpu_time_millis 126.47859400021844 usercpu_time_millis 132.74928000100772 usercpu_time_millis 127.34681799884129 usercpu_time_millis 131.43229899924336 usercpu_time_millis 126.34545500077365 usercpu_time_millis_testing 1.758260999849881 usercpu_time_millis_testing 1.7512290005470277 usercpu_time_millis_testing 1.7457129997637821 usercpu_time_millis_testing 1.2942720004502917 usercpu_time_millis_testing 1.297746999625815 usercpu_time_millis_testing 1.4235300004656892 usercpu_time_millis_testing 1.294485000471468 usercpu_time_millis_testing 1.5572939992125612 usercpu_time_millis_testing 1.2880929998573265 usercpu_time_millis_testing 1.340976000392402 usercpu_time_millis_training 187.93709300007322 usercpu_time_millis_training 177.3840369996833 usercpu_time_millis_training 176.5654609998819 usercpu_time_millis_training 150.22370200040314 usercpu_time_millis_training 126.82543699975213 usercpu_time_millis_training 125.05506399975275 usercpu_time_millis_training 131.45479500053625 usercpu_time_millis_training 125.78952399962873 usercpu_time_millis_training 130.14420599938603 usercpu_time_millis_training 125.00447900038125