10092327 1 Jan van Rijn 9954 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) 8017434 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 "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 15 8783 min_samples_split 2 8783 min_weight_fraction_leaf 0.0 8783 presort false 8783 random_state 39629 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. 1491 one-hundred-plants-margin https://www.openml.org/data/download/1592283/phpCsX3fx -1 21105191 description https://api.openml.org/data/download/21105191/description.xml -1 21105192 predictions https://api.openml.org/data/download/21105192/predictions.arff area_under_roc_curve 0.8592651120580805 [0.826448,0.868115,0.903784,0.925051,0.897648,0.856199,0.827139,0.927044,0.893308,0.833866,0.926827,0.961687,0.887488,0.852075,0.83428,0.786833,0.901851,0.814216,0.788313,0.783381,0.891552,0.83213,0.926728,0.997968,0.861032,0.815262,0.878196,0.797743,0.927123,0.8692,0.952375,0.934699,0.829171,0.840475,0.864504,0.869081,0.755978,0.751716,0.987788,0.964587,0.794291,0.858211,0.929707,0.890566,0.836865,0.75294,0.963581,0.831163,0.720526,0.830867,0.950107,0.821398,0.923295,0.779356,0.856278,0.73982,0.998126,0.925762,0.888573,0.818044,0.803918,0.793304,0.957465,0.635496,0.867188,0.924696,0.821358,0.933357,0.65331,0.715396,0.806187,0.965061,0.865215,0.865728,0.69403,0.928089,0.900489,0.73984,0.894985,0.926156,0.924479,0.793383,0.791035,0.821989,0.883503,0.865767,0.844973,0.877723,0.789556,0.858862,0.965475,0.962753,0.886166,0.874882,0.893407,0.859237,0.889461,0.892144,0.755425,0.852687] average_cost 0 kappa 0.351010101010101 kb_relative_information_score 853.8527868632956 mean_absolute_error 0.014644314085509605 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 0.3575 prior_entropy 6.6438561897747395 recall 0.3575 [0.3125,0.6875,0.6875,0.25,0.4375,0.125,0.3125,0.5,0.25,0.3125,0.4375,0.8125,0.375,0.125,0.6875,0.1875,0.8125,0.1875,0.375,0.125,0.25,0.25,0.3125,1,0.1875,0.0625,0.25,0.375,0.5625,0.6875,0.1875,0.8125,0.4375,0.125,0.4375,0.75,0.1875,0.25,0.0625,0.9375,0.1875,0.25,0.6875,0.25,0.6875,0.125,0.875,0.375,0.0625,0.5625,0.4375,0.25,0.375,0.125,0.25,0,1,0.5625,0.25,0,0.4375,0.3125,0.6875,0.0625,0.6875,0.375,0.25,0.6875,0.1875,0,0.0625,0.5625,0.5,0.5625,0,0.625,0.5625,0,0.5625,0.1875,0.0625,0.1875,0.3125,0.0625,0.4375,0.5625,0.1875,0.125,0,0.0625,0.875,0.5,0.3125,0.0625,0.3125,0.375,0.25,0.125,0,0.1875] relative_absolute_error 0.7396118225004836 root_mean_prior_squared_error 0.09949874371066209 root_mean_squared_error 0.09025123082009737 root_relative_squared_error 0.9070589984788545 total_cost 0 area_under_roc_curve 0.8580120263115993 [0.996855,0.996835,0.75,0.993711,0.990506,0.993711,1,0.996855,0.996835,0.996855,0.996835,0.738924,0.969937,0.952532,0.993671,0.990566,0.996835,0.727848,0.468354,0.471698,0.993711,0.477987,0.987421,1,0.990566,0.740506,0.737342,0.97943,0.985759,0.493711,0.726266,1,0.734177,0.700949,1,0.481132,0.949686,0.487421,0.984277,1,0.993711,0.977987,0.990506,0.990506,0.996835,0.969937,1,0.996855,0.468354,0.718354,0.734177,0.737342,0.981132,0.700949,0.996855,0.965409,0.996835,1,0.968553,0.71519,0.484277,0.987421,0.745253,0.474684,1,0.993671,0.996835,0.996855,0.449686,0.940252,0.672468,1,0.740506,0.734177,0.990566,0.987342,0.996835,0.984177,0.740506,0.990506,1,0.474684,0.987421,0.996855,0.734177,0.738924,0.914557,0.734177,0.992089,0.471698,0.987342,0.996855,0.996835,0.963608,0.963608,0.726266,0.993711,0.987342,0.439873,0.993711] area_under_roc_curve 0.8847577571451313 [1,0.996835,0.745253,1,0.996835,0.974843,0.735759,0.993711,0.987342,1,0.990506,0.993671,0.996835,0.740506,0.996835,0.996855,0.996835,0.966772,0.731013,0.981132,0.993711,0.965409,0.984277,0.993711,0.990566,0.719937,0.969937,0.484177,0.993671,0.996855,0.988924,0.996835,0.962025,0.971519,0.981013,1,0.459119,0.962264,0.981132,0.996835,0.990566,0.996855,0.996835,0.988924,0.743671,0.471519,0.996855,1,0.443038,0.990506,0.935127,0.718354,0.974843,0.982595,1,0.471698,1,0.993711,0.987421,0.712025,1,0.987421,0.993671,0.496835,0.996855,0.993671,0.734177,0.974843,0.443396,0.955975,0.911392,0.990566,0.985759,0.996835,0.927673,0.996835,0.981013,0.712025,0.988924,0.75,0.966772,0.731013,0.455975,0.443396,0.987342,0.723101,0.734177,0.949367,0.724684,0.974843,0.746835,1,0.982595,0.727848,0.985759,0.988924,0.990566,0.72943,0.927215,0.996855] area_under_roc_curve 0.847923259493671 [0.726266,0.742089,0.950949,1,0.72943,0.954114,0.490566,0.996835,0.957278,0.727848,0.710443,1,1,0.743671,0.458861,0.719937,0.993671,0.691456,0.474843,0.688291,0.990566,0.984277,0.708861,0.996855,0.481132,0.996835,0.996835,0.996855,1,0.993671,0.977987,0.990506,0.977848,0.713608,0.468553,0.996855,0.996855,0.468553,0.996855,0.996835,0.481013,0.993711,0.993711,0.993711,0.740506,0.449686,0.993671,0.987421,0.724684,0.745253,0.987342,0.996855,0.984277,0.723101,0.990566,0.97943,1,0.985759,0.996855,0.455696,0.490566,0.490566,0.990506,0.996855,0.981013,0.731013,0.973101,0.996835,0.477987,0.468354,0.974684,0.990506,0.484277,0.738924,0.465409,0.974684,0.993671,0.452532,0.734177,0.996835,0.990566,0.993671,0.990506,0.992089,0.996855,0.977987,1,0.992089,0.745253,0.990566,0.990506,0.996855,0.959119,0.724684,0.993671,0.987421,0.726266,0.97943,0.987421,0.726266] area_under_roc_curve 0.8621402555529019 [0.990506,0.988924,0.996835,0.990566,0.745253,0.471519,0.990566,0.968354,0.971519,0.743671,0.990506,0.990506,0.481132,0.990506,1,0.724684,0.743671,0.962025,0.455975,0.723101,0.955975,1,0.996835,1,0.487421,0.984177,0.737342,0.987421,0.968354,0.748418,0.993711,0.996835,0.737342,0.981013,0.996855,0.496855,0.996855,0.91195,0.993711,0.993671,0.726266,0.977987,0.996855,0.959119,0.993671,0.993711,0.996835,1,0.993671,0.990506,0.974684,0.987421,0.459119,0.436709,0.996855,0.971519,1,0.993671,0.974843,0.990506,0.990566,0.987421,0.977848,0.474843,0.745253,0.974684,0.734177,1,0.984277,0.719937,0.707278,0.746835,1,1,0.41195,0.746835,0.737342,0.46519,0.996835,0.971519,0.484277,0.962025,1,0.446203,0.899371,0.496855,0.996855,0.974684,0.985759,0.968553,1,0.981132,0.459119,0.681962,0.998418,0.496855,0.732595,0.977848,0.877358,0.677215] area_under_roc_curve 0.8341208651779317 [0.734177,1,1,1,0.490566,0.743671,0.477987,0.992089,0.487421,0.740506,1,0.984177,0.996855,0.468553,0.996855,0.977848,0.75,0.996835,0.996855,0.987342,0.462025,0.719937,1,0.996835,0.993671,0.71519,0.962025,1,1,0.743671,0.990566,0.996855,0.493671,0.452532,0.971698,1,0.681962,0.471519,0.982595,0.987342,0.992089,0.745253,0.5,0.993711,0.996855,0.465409,0.996835,0.493671,0.737342,0.992089,0.996855,0.465409,0.981013,0.95283,0.738924,0.927215,0.996855,0.721519,0.990506,0.481132,0.743671,1,0.993711,0.490566,0.735759,0.968354,0.465409,0.987342,0.474684,0.71519,0.990506,0.996835,0.996855,0.490566,0.957278,0.993711,0.746835,0.689873,0.987342,0.981132,0.993711,0.996835,0.474684,0.977848,0.977987,0.990566,0.465409,0.996855,1,0.737342,0.996855,0.987342,0.933962,0.990566,0.748418,0.990566,0.731013,0.993711,0.459119,0.734177] area_under_roc_curve 0.8668985351484751 [0.724684,0.996855,1,0.990506,0.993711,0.97943,0.971698,0.738924,1,0.732595,0.97943,0.993671,0.977987,0.943396,0.996855,0.982595,0.996835,0.982595,0.962264,0.726266,0.990506,0.737342,0.993671,0.996835,0.990506,0.96519,0.957278,0.996855,1,0.993671,0.984277,1,0.72943,0.977848,0.481132,1,0.723101,0.724684,0.988924,0.996835,0.981013,0.732595,1,0.996855,0.996855,0.984277,0.996835,0.746835,0.727848,0.738924,0.984277,0.974843,0.981013,0.993711,0.710443,0.458861,0.993711,1,0.993671,0.993711,0.745253,0.481013,0.965409,0.996855,0.748418,0.988924,0.984277,0.996835,0.718354,0.995253,0.46519,0.987342,0.990566,0.996855,0.667722,0.987421,0.743671,0.952532,0.990506,0.490566,0.990566,0.487342,0.723101,0.719937,0.471698,0.993711,0.940252,0.471698,0.468354,0.984177,0.996855,0.981013,0.487421,0.996855,0.988924,0.949686,0.968354,0.484277,0.886792,0.735759] area_under_roc_curve 0.8475143798264467 [0.987342,0.477987,1,0.946203,1,0.993671,0.996835,0.996835,0.984277,0.735759,1,0.996855,0.726266,0.993711,0.487421,0.713608,0.493711,0.459119,0.685127,0.985759,0.737342,0.740506,0.995253,1,0.727848,0.462264,0.974843,0.740506,0.959119,1,0.985759,0.5,0.981132,0.959119,1,0.743671,0.716772,0.734177,0.995253,0.493711,0.724684,0.987342,0.985759,0.990506,0.484277,0.966772,0.740506,0.740506,0.971698,1,0.987421,0.974684,0.985759,0.965409,0.723101,0.704114,0.996835,0.737342,0.987342,0.946541,0.987342,0.685127,0.987421,0.477848,0.743671,0.990566,0.462264,0.996835,0.724684,0.455696,0.974843,1,0.984177,0.996855,0.427215,0.996855,0.996855,0.977987,0.993711,0.993711,0.992089,0.990566,0.985759,0.960443,0.993671,0.993671,0.723101,0.459119,0.977987,0.740506,0.996855,0.990506,0.727848,0.987421,0.487421,0.735759,0.984177,0.487421,0.705696,0.987342] area_under_roc_curve 0.8435836866093464 [1,0.993711,1,0.468354,0.996855,0.716772,0.987342,0.996835,0.493711,0.996835,0.987421,1,0.732595,0.993711,0.474843,0.458861,1,0.462264,0.971519,0.477848,0.977848,0.735759,0.727848,1,0.987342,0.977987,0.427673,0.735759,0.996855,0.734177,0.981013,0.996855,1,0.984277,0.981013,1,0.735759,0.981013,0.987342,0.996855,0.726266,0.727848,0.990506,0.726266,1,0.723101,0.996835,0.996835,0.930818,0.484277,0.962264,0.723101,0.731013,1,0.990506,0.710443,1,0.988924,0.724684,0.965409,0.490506,0.734177,0.987421,0.732595,0.993671,0.984277,0.974843,0.743671,0.446203,0.721519,0.974843,1,0.996835,0.465409,0.68038,1,0.981132,0.902516,1,0.949686,0.721519,1,0.719937,0.996835,0.696203,0.735759,0.734177,0.974843,0.968553,0.724684,1,0.996835,0.993671,0.962264,0.462264,0.993671,0.981013,0.990566,0.704114,0.968354] area_under_roc_curve 0.8856694331661492 [0.471698,0.996835,1,1,0.996835,0.990566,0.72943,0.974843,0.974684,0.996855,0.481132,0.996855,0.939873,0.743671,0.996835,0.468553,0.993711,0.462264,1,1,0.993671,0.993671,0.990566,0.993671,0.740506,0.987421,0.933962,0.990506,0.72943,0.990566,0.990506,1,0.943396,0.962264,0.738924,1,0.735759,0.704114,0.993671,0.996855,0.484277,0.719937,0.740506,0.735759,0.487342,0.740506,0.990566,0.974684,0.45283,0.993711,0.987342,0.990506,0.990506,0.696203,0.993671,0.462264,1,0.949686,0.974684,0.973101,0.97943,0.990506,0.981013,0.723101,0.996855,1,0.985759,0.5,0.727848,0.993711,0.974843,1,0.745253,0.990506,0.685127,0.731013,0.996855,0.990566,0.996855,0.988924,0.993671,0.987421,0.468553,0.981132,0.981013,0.996835,0.920886,0.957278,0.449686,0.993671,1,0.743671,0.996835,0.957278,0.993711,0.712025,0.974843,0.987342,0.958861,0.996855] area_under_roc_curve 0.8583156695326803 [0.443396,0.477848,0.496855,0.977848,0.993671,0.987421,0.704114,0.481132,0.735759,0.987421,1,0.993711,0.990506,0.981013,0.735759,1,0.993711,0.981132,0.993671,0.993711,0.984177,0.990506,1,0.990506,1,0.446541,0.993711,0.487342,0.738924,0.990566,0.981013,0.75,1,0.95283,0.737342,0.732595,0.713608,0.990506,0.984177,1,0.981132,0.968354,0.995253,0.742089,1,0.708861,0.993711,0.724684,0.990566,0.474843,0.990506,0.704114,0.993671,0.723101,0.734177,0.449686,1,0.987421,0.468354,1,1,0.732595,0.990506,0.708861,0.990566,0.490566,0.708861,0.993711,0.981013,0.433962,0.45283,0.993711,0.740506,0.990506,0.716772,0.996835,1,0.459119,0.481132,0.996835,0.993671,0.477987,0.987421,0.471698,0.973101,1,0.954114,0.935127,0.449686,0.988924,1,0.996835,0.996835,0.982595,0.990566,0.993671,0.996855,0.996835,0.726266,0.990566] 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 0.3810200536870362 kappa 0.3998736576121289 kappa 0.32412159494670345 kappa 0.3620213185945519 kappa 0.3493367024636766 kappa 0.3310720201940523 kappa 0.3118958374432827 kappa 0.3370165745856354 kappa 0.34353795171216667 kappa 0.3687864920309295 kb_relative_information_score 86.95002467535335 kb_relative_information_score 89.89954251004995 kb_relative_information_score 83.91090162647868 kb_relative_information_score 85.17552811667649 kb_relative_information_score 81.33833542695376 kb_relative_information_score 86.07490517438217 kb_relative_information_score 81.4309340918447 kb_relative_information_score 81.63554641798427 kb_relative_information_score 89.9620940405668 kb_relative_information_score 87.47497478301194 mean_absolute_error 0.014370593458813358 mean_absolute_error 0.014445798442969606 mean_absolute_error 0.014783191543141352 mean_absolute_error 0.01465728187459631 mean_absolute_error 0.014594216516918501 mean_absolute_error 0.014834261721422678 mean_absolute_error 0.014952455418156294 mean_absolute_error 0.01481015636529658 mean_absolute_error 0.01453930637289424 mean_absolute_error 0.014455879140887692 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 0.3875 predictive_accuracy 0.40625 predictive_accuracy 0.33125 predictive_accuracy 0.36875 predictive_accuracy 0.35625 predictive_accuracy 0.3375 predictive_accuracy 0.31875 predictive_accuracy 0.34375 predictive_accuracy 0.35 predictive_accuracy 0.375 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 0.3875 [0,1,0.5,0,0.5,0,1,1,1,0,1,0.5,0,0,1,1,1,0,0,0,1,0,1,1,0,0.5,0,0,0.5,0,0,1,0.5,0,1,0,0,0,0,1,1,0,1,0,1,0.5,1,1,0,0,0.5,0.5,0,0,1,0,1,1,0,0,0,1,0,0,1,0.5,0,1,0,0,0,1,0.5,0.5,0,0.5,1,0,0.5,0,0,0,0,1,0.5,0.5,0,0.5,0,0,1,0,1,0,0,0,0,0,0,0] recall 0.40625 [1,1,0.5,1,0,0,0.5,1,0,1,0.5,1,0.5,0.5,1,0,1,0,0.5,0,0,0,0,1,1,0,0.5,0,0.5,1,0.5,1,0,0,0,1,0,0,0,1,0,1,1,0,0.5,0,1,1,0,1,0,0.5,0,0.5,1,0,1,0,0,0,1,1,1,0,1,1,0.5,0,0,0,0,0,0.5,1,0,1,0,0,0.5,0.5,0,0,0,0,1,0,0.5,0,0,0,0.5,1,0,0,0.5,0.5,0,0,0,1] recall 0.33125 [0,0.5,0,1,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,0,0,0,1,0,0,0,1,1,1,0,1,1,0,0,1,0,0,0,1,0,0,1,0,0.5,0,0.5,0,0,0.5,1,1,0,0,0,0,1,0.5,1,0,0,0,1,1,0.5,0.5,0,1,0,0,0,0,0,0.5,0,0,1,0,0,1,0,0.5,1,0,1,0,0,0,0,1,0.5,1,0,0,0.5,1,0,0.5,0,0.5] recall 0.36875 [1,0.5,1,0,0.5,0,0,0,0,0,1,0.5,0,0,1,0,0.5,0.5,0,0,0,1,0,1,0,0,0.5,0,0,0.5,1,1,0.5,0.5,1,0,1,0,0,1,0,0,1,0,1,1,1,0,0,1,0,1,0,0,0,0,1,1,0,0,1,0,1,0,0.5,0,0.5,1,0,0,0,0.5,1,1,0,0.5,0,0,1,0,0,0,1,0,0,0,1,0,0,0,1,0,0,0,0.5,0,0.5,0,0,0] recall 0.35625 [0,1,1,1,0,0.5,0,0.5,0,0.5,0,0.5,1,0,1,0.5,0.5,1,1,0,0,0,1,1,0,0,0.5,0,1,0.5,0,0,0,0,0,1,0,0,0,1,1,0.5,0,1,1,0,1,0,0,0.5,0,0,0,0,0.5,0,1,0,1,0,0.5,1,1,0,0.5,0,0,0,0,0,0,0,1,0,0,1,0.5,0,0.5,0,0,1,0,0,0,0,0,1,0,0,1,1,0,0,0.5,0,0.5,1,0,0] recall 0.3375 [0,1,1,0,1,0,0,0.5,1,0.5,0,1,0,0,1,0,1,0,0,0,0.5,0.5,0,1,0,0,0.5,1,1,1,0,1,0,0,0,1,0,0.5,0,1,0,0.5,1,1,1,0,1,0.5,0,0.5,1,0,0,0,0,0,1,1,0,0,0.5,0,0,0,0.5,0,1,1,0,0,0,1,1,1,0,0,0.5,0,0.5,0,0,0,0,0,0,1,0,0,0,0,1,0,0,1,0,0,0,0,0,0.5] recall 0.31875 [0.5,0,1,0,1,0,0,1,0,0,1,1,0.5,1,0,0,0,0,0,0,0.5,0.5,0,1,0,0,0,0.5,0,1,0.5,0,1,0,1,0.5,0,0.5,0.5,0,0,0,0.5,0,0,0,0.5,0,0,1,1,0,0.5,0,0,0,1,0.5,0.5,0,0,0,1,0,0.5,1,0,1,0.5,0,0,1,0,0,0,1,1,0,1,0,0.5,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0.5,0.5,0,0,0] recall 0.34375 [0.5,1,1,0,1,0,0.5,1,0,0.5,0,1,0,0,0,0,1,0,0,0,0,0.5,0,1,0.5,0,0,0.5,1,0,0,1,1,1,0,1,0.5,0,0,1,0,0.5,1,0,1,0,1,1,0,0,0,0,0.5,1,0,0,1,0.5,0,0,0,0.5,1,0,1,0,0,0.5,0,0,1,1,1,0,0,1,0,0,1,0,0,0,0,0,0,0.5,0.5,0,0,0,1,1,0,0,0,1,0,0,0,0] recall 0.35 [0,1,1,0,0,1,0.5,0,0,1,0,1,0,0,1,0,1,0,1,1,0.5,0,1,1,0,0,0,1,0.5,1,0,1,0,0,0.5,1,0.5,0,0,1,0,0,0,0.5,0,0,1,0,0,1,0.5,0,1,0,0,0,1,0,0,0,0.5,0,1,0,1,1,0.5,0,0.5,0,0,1,0.5,0,0,0.5,1,0,1,0,0,0,0,0,0.5,1,0,0,0,0,1,0,0.5,0,1,0.5,0,0,0,0] recall 0.375 [0,0,0,0,1,0,0,0,0.5,0,1,1,1,0,0.5,1,1,0,1,1,0,0,1,1,0.5,0,0,0,0.5,1,0,0.5,1,0,0.5,0.5,0,1,0,1,0,0,0.5,0.5,1,0,1,0.5,1,0,0.5,0,1,0,0.5,0,1,1,0,0,1,0,0,0,1,0,0,1,0.5,0,0,0,0,1,0,1,1,0,0,0,0,0,1,0,0,1,0,0,0,0,1,1,1,0,0,0,1,0,0,0] relative_absolute_error 0.7257875484249159 relative_absolute_error 0.7295857799479587 relative_absolute_error 0.7466258355121883 relative_absolute_error 0.7402667613432468 relative_absolute_error 0.7370816422686101 relative_absolute_error 0.7492051374455886 relative_absolute_error 0.7551745160684985 relative_absolute_error 0.7479876952169978 relative_absolute_error 0.7343084026714252 relative_absolute_error 0.7300949061054378 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 0.0891527664369984 root_mean_squared_error 0.08821482088633023 root_mean_squared_error 0.09084227024853954 root_mean_squared_error 0.0897664851352851 root_mean_squared_error 0.09165877165963357 root_mean_squared_error 0.09078615750542343 root_mean_squared_error 0.09263783887154695 root_mean_squared_error 0.09108105997864385 root_mean_squared_error 0.08906036234293542 root_mean_squared_error 0.08921716598034461 root_relative_squared_error 0.8960190160415563 root_relative_squared_error 0.8865923085707997 root_relative_squared_error 0.9129991682377905 root_relative_squared_error 0.9021871210386542 root_relative_squared_error 0.9212053161814104 root_relative_squared_error 0.9124352139502944 root_relative_squared_error 0.931045311897944 root_relative_squared_error 0.9153990953242942 root_relative_squared_error 0.8950903199533755 root_relative_squared_error 0.8966662558050399 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 99.18561700033024 usercpu_time_millis 96.28711900040798 usercpu_time_millis 95.18229799869005 usercpu_time_millis 95.56653599975107 usercpu_time_millis 96.45516800082987 usercpu_time_millis 93.55307000078028 usercpu_time_millis 92.88489500067953 usercpu_time_millis 99.04426399953081 usercpu_time_millis 98.79790700142621 usercpu_time_millis 96.58408900031645 usercpu_time_millis_testing 1.3689059996977448 usercpu_time_millis_testing 1.352867000605329 usercpu_time_millis_testing 1.4026339995325543 usercpu_time_millis_testing 1.2939259995619068 usercpu_time_millis_testing 1.3519420008378802 usercpu_time_millis_testing 1.2707000005320879 usercpu_time_millis_testing 1.6694850000931183 usercpu_time_millis_testing 1.347014000202762 usercpu_time_millis_testing 1.4088120005908422 usercpu_time_millis_testing 1.4076280003791908 usercpu_time_millis_training 97.8167110006325 usercpu_time_millis_training 94.93425199980265 usercpu_time_millis_training 93.77966399915749 usercpu_time_millis_training 94.27261000018916 usercpu_time_millis_training 95.10322599999199 usercpu_time_millis_training 92.28237000024819 usercpu_time_millis_training 91.21541000058642 usercpu_time_millis_training 97.69724999932805 usercpu_time_millis_training 97.38909500083537 usercpu_time_millis_training 95.17646099993726