6016419 1 Jan van Rijn 9954 Supervised Classification 6969 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(1) 4051108 bootstrap true 6902 class_weight null 6902 criterion "entropy" 6902 max_depth null 6902 max_features 0.5229662449100313 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 19 6902 min_samples_split 15 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 100 6902 n_jobs 1 6902 oob_score false 6902 random_state 59753 6902 verbose 0 6902 warm_start false 6902 axis 0 6947 categorical_features [] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "median" 6947 strategy_nominal "most_frequent" 6947 verbose 0 6947 categorical_features [] 6948 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 6948 handle_unknown "ignore" 6948 n_values "auto" 6948 sparse false 6948 threshold 0.0 6949 openml-pimp openml-python Sklearn_0.18.1. study_71 1491 one-hundred-plants-margin https://www.openml.org/data/download/1592283/phpCsX3fx -1 12955967 description https://api.openml.org/data/download/12955967/description.xml -1 12955968 predictions https://api.openml.org/data/download/12955968/predictions.arff area_under_roc_curve 0.991198311237374 [0.970368,0.998816,0.999448,0.999566,0.995778,0.988952,0.99854,0.997672,0.993174,0.998698,0.995265,0.999014,0.997001,0.976286,0.996725,0.995147,0.999684,0.974116,0.982008,0.962634,0.996686,0.996567,0.989702,1,0.994713,0.958886,0.987768,0.992661,0.993411,0.999329,0.999921,0.999487,0.995739,0.987019,0.996252,0.996173,0.987137,0.987176,0.996725,0.999408,0.992385,0.996765,0.999724,0.992188,0.993529,0.999053,0.997317,0.99053,0.994003,0.996646,0.991477,0.990412,0.994673,0.971907,0.984612,0.968158,1,0.999645,0.993726,0.978338,0.999369,0.99708,0.991004,0.996409,0.99566,0.989623,0.971236,0.999961,0.983665,0.973603,0.99345,0.995936,0.989268,0.994871,0.951547,0.993371,0.998106,0.970644,0.999448,0.996922,0.984414,0.992661,0.989307,0.991398,0.994397,0.986979,0.999605,0.991122,0.995541,0.999803,0.999527,0.998895,0.992503,0.986348,0.994831,0.999369,0.995699,0.992069,0.962318,0.993134] average_cost 0 f_measure 0.6527319809164722 [0.538462,0.769231,0.914286,0.875,0.769231,0.514286,0.823529,0.75,0.416667,0.875,0.518519,0.857143,0.65,0.434783,0.83871,0.692308,0.780488,0.454545,0.571429,0,0.756757,0.896552,0.347826,0.969697,0.727273,0.117647,0.368421,0.702703,0.787879,0.744186,0.848485,0.941176,0.903226,0.347826,0.777778,0.581818,0.487805,0.5,0.827586,0.761905,0.551724,0.8,0.761905,0.56,0.733333,0.875,0.777778,0.714286,0.785714,0.83871,0.705882,0.625,0.666667,0.434783,0.538462,0,0.969697,0.914286,0.615385,0.416667,0.833333,0.756757,0.538462,0.742857,0.75,0.588235,0.285714,0.888889,0.434783,0.380952,0.6,0.697674,0.478261,0.777778,0.285714,0.8125,0.761905,0.210526,0.842105,0.814815,0.315789,0.615385,0.6875,0.615385,0.740741,0.848485,0.969697,0.622222,0.733333,0.969697,0.780488,0.697674,0.740741,0.190476,0.583333,0.8,0.733333,0.555556,0.2,0.666667] kappa 0.6755050505050505 kb_relative_information_score 902.1483614910417 mean_absolute_error 0.01701045613539483 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] precision 0.694704005833794 [0.7,0.652174,0.842105,0.875,0.652174,0.473684,0.777778,0.625,0.625,0.875,0.636364,0.789474,0.541667,0.714286,0.866667,0.9,0.64,0.833333,0.526316,0,0.666667,1,0.571429,0.941176,0.705882,1,0.318182,0.619048,0.764706,0.592593,0.823529,0.888889,0.933333,0.571429,0.7,0.410256,0.4,0.416667,0.923077,0.615385,0.615385,0.736842,0.615385,0.777778,0.785714,0.875,0.7,0.833333,0.916667,0.866667,0.666667,0.625,0.6,0.714286,0.7,0,0.941176,0.842105,0.521739,0.625,0.75,0.666667,0.7,0.684211,0.625,0.555556,0.333333,0.8,0.714286,0.8,0.642857,0.555556,0.366667,0.7,0.6,0.8125,0.615385,0.666667,0.727273,1,1,0.8,0.6875,0.8,0.909091,0.823529,0.941176,0.482759,0.785714,0.941176,0.64,0.555556,0.909091,0.4,0.875,0.736842,0.785714,0.5,0.5,0.714286] predictive_accuracy 0.67875 prior_entropy 6.6438561897747395 recall 0.67875 [0.4375,0.9375,1,0.875,0.9375,0.5625,0.875,0.9375,0.3125,0.875,0.4375,0.9375,0.8125,0.3125,0.8125,0.5625,1,0.3125,0.625,0,0.875,0.8125,0.25,1,0.75,0.0625,0.4375,0.8125,0.8125,1,0.875,1,0.875,0.25,0.875,1,0.625,0.625,0.75,1,0.5,0.875,1,0.4375,0.6875,0.875,0.875,0.625,0.6875,0.8125,0.75,0.625,0.75,0.3125,0.4375,0,1,1,0.75,0.3125,0.9375,0.875,0.4375,0.8125,0.9375,0.625,0.25,1,0.3125,0.25,0.5625,0.9375,0.6875,0.875,0.1875,0.8125,1,0.125,1,0.6875,0.1875,0.5,0.6875,0.5,0.625,0.875,1,0.875,0.6875,1,1,0.9375,0.625,0.125,0.4375,0.875,0.6875,0.625,0.125,0.625] relative_absolute_error 0.8591139462320606 root_mean_prior_squared_error 0.09949874371066209 root_mean_squared_error 0.0879461201224136 root_relative_squared_error 0.883891764283547 total_cost 0 area_under_roc_curve 0.990512051190192 [1,1,1,1,0.996835,1,1,1,0.993671,1,0.974684,0.996835,0.996835,0.984177,1,1,1,0.933544,0.977848,0.974843,1,1,1,1,1,0.974684,0.984177,1,0.977848,0.993711,1,1,0.996835,0.990506,1,0.993711,1,0.993711,1,0.996835,1,1,1,0.996835,1,1,1,1,1,0.984177,0.962025,1,0.987421,0.996835,0.993711,1,1,1,0.987421,0.968354,1,1,0.987342,1,1,0.996835,0.990506,1,1,0.943396,0.990506,0.993711,1,0.996835,1,1,1,0.968354,0.996835,0.996835,0.993671,0.993671,0.993711,1,0.993671,0.911392,1,0.996835,0.990506,1,1,1,0.993671,0.990506,1,1,1,0.993671,0.848101,1] area_under_roc_curve 0.9918609684738477 [0.987421,1,1,1,1,0.993711,0.996835,1,1,1,0.996835,1,0.990506,0.939873,1,1,1,0.96519,1,0.987421,1,0.987421,1,1,1,0.949367,0.987342,0.962025,0.993671,1,1,1,1,0.987342,0.996835,0.987421,0.974843,1,0.981132,1,1,1,1,0.996835,1,1,1,1,0.990506,1,1,0.939873,1,0.990506,1,0.974843,1,1,1,0.939873,1,1,0.993671,0.993671,1,0.984177,1,1,0.943396,1,1,1,0.996835,1,1,1,1,0.971519,1,0.987342,0.996835,0.990506,0.962264,0.981132,1,1,0.996835,1,0.996835,1,1,1,1,0.977848,0.993671,1,0.993711,0.968354,1,1] area_under_roc_curve 0.9907929304991644 [0.984177,0.996835,1,1,0.971519,0.987342,1,1,0.984177,1,1,1,1,0.993671,0.987342,1,1,0.990506,0.949686,0.89557,0.993711,0.993711,0.939873,1,0.981132,0.981013,1,1,0.993671,1,1,1,1,0.974684,0.993711,1,0.993711,0.968553,1,1,0.993671,1,1,1,0.990506,1,0.996835,1,0.977848,1,0.984177,1,1,0.987342,1,0.990506,1,1,0.987421,0.974684,1,0.987421,1,1,1,0.981013,0.974684,1,0.981132,0.952532,1,0.987342,0.993711,0.990506,1,1,1,0.974684,1,1,1,0.996835,0.996835,0.993671,1,1,1,1,0.996835,1,1,1,0.974843,0.990506,0.993671,1,0.993671,0.987342,0.955975,1] area_under_roc_curve 0.9899288969827245 [0.990506,0.987342,0.996835,1,0.996835,0.977848,1,1,0.996835,1,0.990506,1,1,0.990506,1,1,1,0.981013,0.899371,0.987342,1,1,0.996835,1,0.987421,0.962025,0.974684,1,1,1,1,1,1,0.993671,1,0.981132,1,0.993711,1,1,0.993671,1,1,1,1,1,1,1,1,1,0.987342,1,0.987421,0.917722,0.993711,0.974684,1,1,1,0.990506,1,1,0.993671,1,0.984177,0.993671,0.949367,1,1,0.952532,0.987342,0.993671,0.962264,1,0.987421,0.96519,1,0.962025,1,0.996835,0.943396,0.981013,1,0.974684,0.993711,1,1,1,1,1,1,1,0.90566,0.993671,1,0.993711,0.993671,0.993671,0.968553,0.993671] area_under_roc_curve 0.987482584985272 [1,1,1,1,1,0.993671,0.993711,1,1,0.996835,0.993671,0.993671,1,0.842767,1,0.993671,1,1,1,0.993671,0.974684,1,1,1,0.993671,0.946203,0.993671,1,1,1,1,1,0.984177,0.971519,1,1,0.987342,0.981013,1,1,1,1,1,1,0.987421,1,1,0.996835,1,1,0.993711,0.974843,0.987342,0.974843,0.920886,0.968354,1,0.996835,0.993671,0.968553,1,1,0.987421,1,1,1,0.830189,1,0.955696,0.943038,1,1,0.987421,1,0.791139,1,0.993671,0.977848,1,1,1,1,0.993671,0.993671,0.974843,1,1,1,1,1,1,1,0.993711,0.987421,0.990506,1,0.996835,1,0.943396,0.981013] area_under_roc_curve 0.9911051568346465 [0.917722,1,1,1,1,0.96519,1,1,1,0.996835,0.996835,1,1,1,1,0.993671,1,0.990506,1,0.924051,1,0.990506,0.984177,1,0.993671,0.981013,0.981013,0.993711,1,1,1,1,0.981013,0.993671,0.974843,0.996835,0.96519,0.987342,1,1,1,0.990506,1,1,0.987421,1,1,0.996835,0.990506,0.996835,1,1,1,1,0.981013,0.962025,1,1,1,1,1,0.993671,0.987421,1,1,0.990506,0.981132,1,0.993671,1,0.981013,0.990506,1,1,0.933544,1,1,0.974684,1,0.993711,0.987421,0.996835,1,0.987342,1,1,1,0.987421,0.987342,1,1,1,1,1,1,1,1,0.981132,0.987421,0.971519] area_under_roc_curve 0.992224942281665 [0.996835,1,1,1,1,1,1,1,0.993711,1,1,1,0.987342,0.987421,0.981132,0.990506,1,0.993711,0.987342,0.936709,0.996835,0.993671,0.996835,1,0.990506,0.861635,0.987421,0.993671,1,1,1,1,1,0.981132,1,1,0.996835,1,1,1,0.993671,0.996835,1,0.993671,0.987421,0.996835,0.996835,0.977848,0.993711,1,1,1,1,1,0.996835,0.977848,1,1,0.990506,0.993711,0.996835,1,1,0.968354,0.996835,0.981132,0.968553,1,0.996835,0.990506,1,0.993671,0.996835,1,0.987342,1,1,0.955975,1,1,0.974684,1,0.949367,0.993671,1,1,1,0.924528,1,1,1,1,0.993671,0.974843,0.987421,1,1,1,0.974684,1] area_under_roc_curve 0.9933681136056046 [1,1,1,1,1,0.993671,1,1,0.993711,1,0.993711,1,1,1,1,0.993671,1,0.981132,0.974684,0.974684,0.996835,1,1,1,0.996835,0.949686,0.993711,0.990506,0.993711,0.996835,1,1,1,0.987421,1,1,0.971519,0.981013,1,1,1,1,1,0.987342,0.993711,1,1,0.987342,1,1,0.987421,1,0.981013,1,0.996835,0.955696,1,1,0.993671,1,1,0.996835,0.993711,0.996835,1,0.968553,0.962264,1,0.981013,0.981013,1,1,0.996835,0.930818,0.993671,1,1,0.981132,1,0.993711,0.987342,1,0.990506,0.996835,0.990506,0.990506,1,1,0.993711,1,1,1,1,0.968553,0.993711,1,0.977848,0.993711,0.990506,1] area_under_roc_curve 0.9943560425125385 [0.974843,1,1,1,1,1,1,1,0.993671,1,0.993711,1,1,1,1,0.993711,1,1,1,1,1,1,0.987421,1,1,0.981132,0.987421,0.996835,0.990506,1,1,1,1,0.987421,1,1,0.993671,0.984177,1,1,0.949686,1,0.996835,0.987342,0.984177,1,1,0.984177,0.987421,1,0.996835,0.996835,1,0.920886,0.993671,0.930818,1,1,0.996835,0.993671,0.996835,1,1,1,1,1,1,1,0.996835,0.993711,1,0.993711,0.981013,1,0.993671,0.987342,0.993711,0.993711,1,0.993671,0.984177,0.981132,1,0.993711,0.993671,1,1,0.996835,0.993711,1,1,0.993671,1,1,0.974843,1,0.987421,1,0.981013,1] area_under_roc_curve 0.9951494208263674 [0.830189,0.996835,1,1,1,1,1,0.949686,0.993671,1,1,1,0.996835,0.993671,1,1,1,0.981132,0.990506,0.981132,1,1,1,1,1,0.974843,1,1,0.993671,1,1,1,1,0.981132,0.993671,0.996835,0.993671,1,0.990506,1,1,1,1,0.981013,1,1,1,0.987342,1,1,1,0.990506,0.996835,0.987342,0.996835,0.987421,1,1,0.993671,0.990506,1,1,0.984177,1,1,0.993711,1,1,1,1,0.974843,1,0.984177,1,0.987342,0.996835,1,1,0.993711,1,1,0.993711,1,0.987421,1,1,0.996835,0.987342,1,1,1,1,1,1,1,1,0.993711,1,1,1] 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 0.677941350593993 kappa 0.6905711015510912 kappa 0.6652851786066706 kappa 0.633722766024629 kappa 0.6968022108172127 kappa 0.6526681401957689 kappa 0.6841814377640045 kappa 0.6525721504994275 kappa 0.6904733704449445 kappa 0.7094010344691436 kb_relative_information_score 89.58349445667656 kb_relative_information_score 90.04221964032578 kb_relative_information_score 89.62326123338144 kb_relative_information_score 89.17552060716436 kb_relative_information_score 89.27773634248666 kb_relative_information_score 89.80551446895029 kb_relative_information_score 91.39243374762056 kb_relative_information_score 90.37470512565403 kb_relative_information_score 91.3857412307429 kb_relative_information_score 91.4877346380395 mean_absolute_error 0.017040651647671833 mean_absolute_error 0.01701600081811017 mean_absolute_error 0.01703270495389214 mean_absolute_error 0.017073684169365742 mean_absolute_error 0.017031100562353914 mean_absolute_error 0.01703742745675301 mean_absolute_error 0.016907027364685422 mean_absolute_error 0.017007363443824634 mean_absolute_error 0.01697444087889922 mean_absolute_error 0.016984160058392282 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 0.68125 predictive_accuracy 0.69375 predictive_accuracy 0.66875 predictive_accuracy 0.6375 predictive_accuracy 0.7 predictive_accuracy 0.65625 predictive_accuracy 0.6875 predictive_accuracy 0.65625 predictive_accuracy 0.69375 predictive_accuracy 0.7125 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 0.68125 [1,1,1,1,1,1,1,1,0,1,0.5,1,1,0,1,1,1,0,0.5,0,1,1,0,1,1,0,0,1,0.5,1,1,1,1,0,1,1,0,1,1,1,1,1,1,0.5,1,1,1,1,1,0.5,0.5,0.5,1,0.5,1,0,1,1,1,0.5,1,1,0,1,1,0.5,0.5,1,0,0,0.5,1,1,0.5,0,1,1,0,1,1,0,1,0,0,0.5,0.5,1,1,0,1,1,1,1,0,0.5,0,1,1,0,1] recall 0.69375 [0,1,1,1,1,1,0.5,1,0,1,0.5,1,0.5,0.5,1,1,1,0,0.5,0,1,0,1,1,1,0,0,0.5,0.5,1,1,1,1,0.5,1,1,0,1,1,1,1,1,1,0.5,0.5,1,1,1,0.5,1,1,0.5,1,1,1,0,1,1,1,0.5,1,1,0.5,1,1,0.5,0,1,0,0,1,1,1,1,0,1,1,0.5,1,0,0,0.5,1,0,1,1,1,1,1,1,1,1,0.5,0,0,1,1,0,0,1] recall 0.66875 [0.5,1,1,1,0.5,0.5,1,1,0,1,0.5,1,1,0.5,0.5,0.5,1,1,0,0,0,0,0.5,1,0,0.5,0.5,1,1,1,1,1,1,0,1,1,1,0,1,1,0,1,1,1,0.5,1,0.5,1,0.5,1,1,1,1,0,1,0,1,1,1,0,1,1,0,1,1,0.5,0.5,1,0,0.5,0.5,1,0,1,0,1,1,0.5,1,1,1,0.5,1,0.5,1,1,1,1,1,1,1,1,0,0,0.5,1,0,0.5,0,0.5] recall 0.6375 [1,1,1,1,1,0,1,1,0.5,0.5,0,1,1,0,0.5,1,1,0,0,0,1,1,0.5,1,0,0,0.5,1,1,1,1,1,1,0,1,1,1,1,1,1,0,1,1,1,1,1,1,1,1,1,0,1,1,0,0,0,1,1,1,0,1,1,1,1,0.5,0.5,0,1,0,0,0,0.5,0,1,0,0.5,1,0,1,1,0,0.5,1,0.5,1,1,1,1,0.5,1,1,1,0,0,1,1,1,0.5,0,0] recall 0.7 [0.5,1,1,1,1,0.5,0,1,1,1,1,0.5,1,0,1,0.5,1,0.5,1,0,0.5,1,0,1,0.5,0,0.5,1,1,1,1,1,0.5,0,1,1,1,0.5,0.5,1,1,1,1,0,1,1,1,0.5,0.5,0.5,1,0,0.5,0,0,0,1,1,1,0,1,1,1,1,1,1,0,1,0.5,0.5,1,1,0,1,0,1,1,0,1,1,1,1,0.5,0,1,1,1,1,1,1,1,1,1,1,0.5,1,0.5,1,0,0.5] recall 0.65625 [0,1,1,0.5,1,0.5,1,1,0,0.5,0,1,1,1,1,0.5,1,0,1,0,1,1,0,1,1,0,1,1,1,1,1,1,0.5,1,0,1,0.5,0.5,1,1,1,0.5,1,1,1,1,0.5,0,0.5,0.5,1,0,1,0,0,0,1,1,0.5,1,1,0.5,0,1,1,0.5,0,1,0.5,0.5,0.5,1,1,1,0.5,1,1,0,1,0,1,0,1,0.5,0,1,1,0,1,1,1,1,1,1,0,1,1,0,0,0.5] recall 0.6875 [0.5,1,1,1,1,1,1,1,1,1,1,1,0.5,0,1,0.5,1,0,0.5,0,1,1,0.5,1,0.5,0,0,0.5,1,1,0.5,1,1,0,1,1,1,1,0.5,1,0,0.5,1,0.5,1,1,1,0.5,1,1,1,1,1,0,0.5,0,1,1,0,1,0.5,0.5,1,0,1,1,0,1,0.5,0,1,1,1,1,0,1,1,0,1,1,0,0,0.5,0.5,0.5,1,1,0,0,1,1,1,0.5,0,1,1,1,1,0,1] recall 0.65625 [0.5,1,1,0.5,1,0,1,1,1,1,0,1,0.5,0,1,0.5,1,1,1,0,1,0.5,0,1,1,0,0,0.5,0,1,0.5,1,1,0,1,1,0.5,0.5,1,1,0.5,1,1,0,0,1,1,1,1,1,1,0.5,0,1,0.5,0,1,1,1,1,1,1,1,0.5,1,0,0,1,0,0.5,0,1,1,0,0.5,1,1,0,1,1,0,0,0,1,0.5,0.5,1,1,1,1,1,1,1,0,0,1,0.5,0,0,0.5] recall 0.69375 [0,1,1,1,1,1,1,1,0,1,0,1,1,0.5,1,0,1,1,1,0,1,1,0,1,1,0,1,1,1,1,1,1,1,1,0.5,1,0.5,0,0.5,1,0,1,1,0.5,0.5,0.5,1,0,0,1,1,0.5,1,0.5,0,0,1,1,0.5,0,1,1,0.5,1,1,1,1,1,0.5,0,1,1,0.5,1,0.5,0.5,1,0,1,0.5,0,1,1,1,0.5,1,1,1,0,1,1,0.5,0,0,0,1,0,1,0.5,1] recall 0.7125 [0,0.5,1,1,1,1,1,0,0.5,1,1,1,1,0.5,0.5,0,1,0,0.5,0,1,1,0,1,1,0,1,1,1,1,1,1,1,0,1,1,0.5,1,0.5,1,1,1,1,0,0.5,0.5,1,1,1,1,0.5,1,0.5,0,1,0,1,1,1,0,1,1,0,1,1,1,0,1,0.5,0,0,1,0.5,1,0,0.5,1,0,1,0.5,0,0,1,1,0.5,1,1,1,1,1,1,1,1,0,1,1,1,1,0.5,1] relative_absolute_error 0.8606389721046367 relative_absolute_error 0.8593939807126334 relative_absolute_error 0.8602376239339451 relative_absolute_error 0.8623072812810966 relative_absolute_error 0.860156594058277 relative_absolute_error 0.8604761341794436 relative_absolute_error 0.8538902709437067 relative_absolute_error 0.8589577496881113 relative_absolute_error 0.8572949938837976 relative_absolute_error 0.8577858615349624 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 0.08806460505366373 root_mean_squared_error 0.08796030587487177 root_mean_squared_error 0.0881194823672603 root_mean_squared_error 0.08832620563345946 root_mean_squared_error 0.08810315689007871 root_mean_squared_error 0.08810289337604478 root_mean_squared_error 0.08744432067476883 root_mean_squared_error 0.087907029619707 root_mean_squared_error 0.08772036540727984 root_mean_squared_error 0.08770943473467373 root_relative_squared_error 0.8850825826479949 root_relative_squared_error 0.8840343364601311 root_relative_squared_error 0.8856341204016389 root_relative_squared_error 0.8877117673998796 root_relative_squared_error 0.8854700431824425 root_relative_squared_error 0.885467394766753 root_relative_squared_error 0.8788484900779555 root_relative_squared_error 0.8834988899491711 root_relative_squared_error 0.8816228440267224 root_relative_squared_error 0.8815129866335688 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 3374.2096969999693 usercpu_time_millis 3199.0996440000004 usercpu_time_millis 3190.280360000088 usercpu_time_millis 3198.8200849999657 usercpu_time_millis 3187.400706999995 usercpu_time_millis 3181.964746999995 usercpu_time_millis 3182.5207120000414 usercpu_time_millis 3198.1968409999695 usercpu_time_millis 3195.4347340000027 usercpu_time_millis 3199.5047640000394 usercpu_time_millis_testing 40.34441900000729 usercpu_time_millis_testing 34.221584000022176 usercpu_time_millis_testing 31.58050200005391 usercpu_time_millis_testing 31.263797999997678 usercpu_time_millis_testing 30.928149999965626 usercpu_time_millis_testing 30.74814699999706 usercpu_time_millis_testing 30.854827000041496 usercpu_time_millis_testing 30.92679600001702 usercpu_time_millis_testing 31.066447999990032 usercpu_time_millis_testing 30.886801999997715 usercpu_time_millis_training 3333.865277999962 usercpu_time_millis_training 3164.878059999978 usercpu_time_millis_training 3158.699858000034 usercpu_time_millis_training 3167.556286999968 usercpu_time_millis_training 3156.472557000029 usercpu_time_millis_training 3151.216599999998 usercpu_time_millis_training 3151.665885 usercpu_time_millis_training 3167.2700449999525 usercpu_time_millis_training 3164.3682860000126 usercpu_time_millis_training 3168.6179620000416