4112528 1 Jan van Rijn 9954 Supervised Classification 6840 sklearn.pipeline.Pipeline(imputation=sklearn.preprocessing.imputation.Imputer,classifier=sklearn.tree.tree.DecisionTreeClassifier)(1) 2149146 axis 0 6758 copy true 6758 missing_values "NaN" 6758 strategy "most_frequent" 6758 verbose 0 6758 class_weight null 6841 criterion "entropy" 6841 max_depth 1.1718070839402668 6841 max_features 1.0 6841 max_leaf_nodes null 6841 min_impurity_split 1e-07 6841 min_samples_leaf 7 6841 min_samples_split 2 6841 min_weight_fraction_leaf 0.0 6841 presort false 6841 random_state 975 6841 splitter "best" 6841 openml-pimp openml-python Sklearn_0.18.1. 1491 one-hundred-plants-margin https://www.openml.org/data/download/1592283/phpCsX3fx -1 9196814 description https://api.openml.org/data/download/9196814/description.xml -1 9196815 predictions https://api.openml.org/data/download/9196815/predictions.arff area_under_roc_curve 0.6852527225378786 [0.591777,0.712397,0.730291,0.47889,0.595565,0.646425,0.699673,0.709438,0.66426,0.769689,0.625493,0.730291,0.699673,0.469263,0.712397,0.669902,0.757674,0.757674,0.753393,0.769689,0.783341,0.65258,0.769689,0.704979,0.783341,0.757674,0.757674,0.543462,0.676926,0.709438,0.781822,0.766414,0.693241,0.743549,0.748639,0.783341,0.783341,0.783341,0.697562,0.757674,0.714607,0.612334,0.699673,0.699673,0.656467,0.699673,0.709438,0.629616,0.422368,0.730291,0.712397,0.699673,0.697562,0.676926,0.644018,0.769689,0.781822,0.709438,0.631116,0.582268,0.783341,0.528685,0.60318,0.667673,0.709438,0.757674,0.766414,0.769689,0.537445,0.495344,0.663727,0.721157,0.781822,0.61991,0.697562,0.712397,0.730291,0.692807,0.702513,0.641769,0.647195,0.643012,0.458965,0.567195,0.699673,0.683811,0.699673,0.691406,0.633898,0.697562,0.766414,0.69188,0.47749,0.712397,0.572345,0.699673,0.709438,0.66426,0.781822,0.743391] average_cost 0 f_measure 0.002243835943254353 [0,0.021858,0.019139,0.023121,0,0.018182,0.021858,0.019802,0,0.028708,0,0,0,0,0,0,0.027027,0,0.025641,0,0,0,0,0,0,0,0,0,0,0,0.019048,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] kappa 0.002525252525252526 kb_relative_information_score 192.55260166026724 mean_absolute_error 0.019650269711017486 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 0.0012512639683534567 [0,0.011429,0.010363,0.012739,0,0.010638,0.011976,0.011765,0,0.015544,0,0,0,0,0,0,0.015152,0,0.014286,0,0,0,0,0,0,0,0,0,0,0,0.011236,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] predictive_accuracy 0.0125 prior_entropy 6.6438561897747395 recall 0.0125 [0,0.25,0.125,0.125,0,0.0625,0.125,0.0625,0,0.1875,0,0,0,0,0,0,0.125,0,0.125,0,0,0,0,0,0,0,0,0,0,0,0.0625,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] relative_absolute_error 0.9924378641928004 root_mean_prior_squared_error 0.09949874371066209 root_mean_squared_error 0.09914816035853351 root_relative_squared_error 0.9964765047371045 total_cost 0 area_under_roc_curve 0.7029983679643332 [0.707547,0.708861,0.708861,0.204403,0.455696,0.707547,0.708861,0.707547,0.708861,0.795597,0.708861,0.708861,0.708861,0.291139,0.708861,0.707547,0.797468,0.797468,0.797468,0.795597,0.795597,0.707547,0.795597,0.707547,0.795597,0.797468,0.797468,0.708861,0.708861,0.707547,0.797468,0.797468,0.797468,0.797468,0.797468,0.795597,0.795597,0.795597,0.707547,0.797468,0.795597,0.795597,0.708861,0.708861,0.708861,0.708861,0.707547,0.707547,0.708861,0.708861,0.708861,0.708861,0.707547,0.708861,0.707547,0.795597,0.797468,0.707547,0.707547,0.455696,0.795597,0.707547,0.544304,0.708861,0.707547,0.797468,0.797468,0.795597,0.292453,0.707547,0.797468,0.795597,0.797468,0.544304,0.707547,0.708861,0.708861,0.797468,0.797468,0.544304,0.708861,0.291139,0.204403,0.707547,0.708861,0.708861,0.708861,0.708861,0.544304,0.707547,0.797468,0.707547,0.797468,0.708861,0.455696,0.708861,0.707547,0.708861,0.797468,0.795597] area_under_roc_curve 0.7023699347185739 [0.735849,0.737342,0.737342,0.767296,0.768987,0.767296,0.737342,0.735849,0.484177,0.767296,0.515823,0.737342,0.737342,0.768987,0.737342,0.735849,0.768987,0.768987,0.768987,0.767296,0.767296,0.735849,0.767296,0.735849,0.767296,0.768987,0.768987,0.231013,0.737342,0.735849,0.768987,0.768987,0.515823,0.515823,0.262658,0.767296,0.767296,0.767296,0.735849,0.768987,0.767296,0.767296,0.737342,0.737342,0.737342,0.737342,0.735849,0.735849,0.262658,0.737342,0.737342,0.737342,0.735849,0.737342,0.735849,0.767296,0.768987,0.735849,0.767296,0.737342,0.767296,0.735849,0.768987,0.737342,0.735849,0.768987,0.768987,0.767296,0.735849,0.735849,0.515823,0.767296,0.768987,0.768987,0.735849,0.737342,0.737342,0.515823,0.768987,0.768987,0.737342,0.768987,0.264151,0.264151,0.737342,0.484177,0.737342,0.737342,0.737342,0.735849,0.768987,0.767296,0.768987,0.737342,0.768987,0.737342,0.735849,0.484177,0.768987,0.767296] area_under_roc_curve 0.6923622721120921 [0.759494,0.759494,0.759494,0.745283,0.493671,0.240506,0.757862,0.759494,0.506329,0.746835,0.493671,0.759494,0.757862,0.746835,0.759494,0.759494,0.746835,0.746835,0.242138,0.746835,0.745283,0.254717,0.746835,0.757862,0.745283,0.746835,0.746835,0.757862,0.759494,0.759494,0.745283,0.746835,0.746835,0.746835,0.242138,0.745283,0.745283,0.745283,0.757862,0.746835,0.746835,0.745283,0.757862,0.757862,0.506329,0.757862,0.759494,0.757862,0.746835,0.759494,0.759494,0.757862,0.757862,0.759494,0.757862,0.746835,0.745283,0.759494,0.745283,0.759494,0.745283,0.254717,0.746835,0.757862,0.759494,0.746835,0.746835,0.746835,0.757862,0.253165,0.240506,0.746835,0.745283,0.746835,0.757862,0.759494,0.759494,0.746835,0.746835,0.746835,0.757862,0.746835,0.746835,0.493671,0.757862,0.254717,0.757862,0.759494,0.759494,0.757862,0.746835,0.745283,0.242138,0.759494,0.493671,0.757862,0.759494,0.506329,0.745283,0.746835] area_under_roc_curve 0.6835512698033596 [0.724684,0.724684,0.724684,0.27673,0.471519,0.724684,0.72327,0.724684,0.724684,0.781646,0.724684,0.724684,0.72327,0.218354,0.724684,0.724684,0.781646,0.781646,0.779874,0.781646,0.779874,0.72327,0.781646,0.72327,0.779874,0.781646,0.781646,0.72327,0.724684,0.724684,0.779874,0.781646,0.781646,0.781646,0.779874,0.779874,0.779874,0.779874,0.72327,0.781646,0.781646,0.779874,0.72327,0.72327,0.724684,0.72327,0.724684,0.72327,0.218354,0.724684,0.724684,0.72327,0.72327,0.724684,0.72327,0.781646,0.779874,0.724684,0.72327,0.724684,0.779874,0.220126,0.275316,0.72327,0.724684,0.781646,0.781646,0.781646,0.27673,0.471519,0.781646,0.528481,0.779874,0.781646,0.72327,0.724684,0.724684,0.528481,0.781646,0.528481,0.220126,0.528481,0.275316,0.471519,0.72327,0.72327,0.72327,0.724684,0.528481,0.72327,0.781646,0.72327,0.779874,0.724684,0.471519,0.72327,0.724684,0.724684,0.779874,0.781646] area_under_roc_curve 0.7004020380542954 [0.781646,0.779874,0.781646,0.724684,0.72327,0.471519,0.779874,0.781646,0.779874,0.724684,0.275316,0.781646,0.779874,0.220126,0.779874,0.528481,0.724684,0.724684,0.72327,0.724684,0.724684,0.528481,0.724684,0.781646,0.724684,0.724684,0.724684,0.779874,0.779874,0.781646,0.72327,0.72327,0.724684,0.724684,0.72327,0.724684,0.724684,0.724684,0.781646,0.724684,0.724684,0.724684,0.779874,0.779874,0.779874,0.779874,0.781646,0.275316,0.471519,0.781646,0.779874,0.779874,0.781646,0.779874,0.528481,0.724684,0.72327,0.781646,0.724684,0.27673,0.724684,0.781646,0.72327,0.779874,0.781646,0.724684,0.72327,0.724684,0.528481,0.528481,0.471519,0.724684,0.72327,0.72327,0.781646,0.779874,0.781646,0.724684,0.724684,0.72327,0.779874,0.724684,0.724684,0.724684,0.779874,0.779874,0.779874,0.779874,0.781646,0.781646,0.72327,0.724684,0.220126,0.779874,0.724684,0.779874,0.781646,0.779874,0.72327,0.471519] area_under_roc_curve 0.6964144972534037 [0.46519,0.716981,0.718354,0.212025,0.716981,0.718354,0.716981,0.718354,0.716981,0.787975,0.718354,0.718354,0.716981,0.283019,0.716981,0.718354,0.787975,0.787975,0.786164,0.787975,0.787975,0.718354,0.787975,0.718354,0.787975,0.787975,0.787975,0.716981,0.716981,0.718354,0.786164,0.786164,0.53481,0.787975,0.786164,0.787975,0.787975,0.787975,0.718354,0.787975,0.787975,0.281646,0.716981,0.716981,0.716981,0.716981,0.718354,0.718354,0.46519,0.718354,0.716981,0.716981,0.718354,0.716981,0.718354,0.787975,0.786164,0.718354,0.718354,0.716981,0.787975,0.718354,0.786164,0.716981,0.718354,0.787975,0.786164,0.787975,0.53481,0.718354,0.53481,0.787975,0.786164,0.786164,0.718354,0.716981,0.718354,0.787975,0.787975,0.786164,0.716981,0.787975,0.281646,0.46519,0.716981,0.716981,0.716981,0.716981,0.281646,0.718354,0.786164,0.718354,0.283019,0.716981,0.46519,0.716981,0.718354,0.716981,0.786164,0.787975] area_under_roc_curve 0.7100847862431335 [0.468354,0.720126,0.720126,0.21519,0.720126,0.721519,0.721519,0.721519,0.720126,0.78481,0.720126,0.720126,0.721519,0.279874,0.720126,0.721519,0.783019,0.783019,0.78481,0.78481,0.78481,0.721519,0.78481,0.721519,0.78481,0.783019,0.783019,0.721519,0.720126,0.721519,0.78481,0.783019,0.783019,0.783019,0.78481,0.78481,0.78481,0.78481,0.721519,0.783019,0.78481,0.78481,0.721519,0.721519,0.720126,0.721519,0.721519,0.468354,0.720126,0.720126,0.720126,0.721519,0.721519,0.720126,0.721519,0.78481,0.78481,0.721519,0.468354,0.720126,0.78481,0.721519,0.783019,0.468354,0.721519,0.783019,0.783019,0.78481,0.531646,0.468354,0.783019,0.78481,0.78481,0.279874,0.721519,0.720126,0.720126,0.783019,0.783019,0.783019,0.721519,0.783019,0.278481,0.721519,0.721519,0.721519,0.721519,0.720126,0.783019,0.721519,0.783019,0.721519,0.78481,0.720126,0.720126,0.721519,0.721519,0.720126,0.78481,0.78481] area_under_roc_curve 0.7063271236366525 [0.696203,0.694969,0.694969,0.556962,0.694969,0.696203,0.696203,0.696203,0.694969,0.810127,0.694969,0.694969,0.696203,0.305031,0.694969,0.696203,0.808176,0.808176,0.810127,0.810127,0.810127,0.696203,0.810127,0.696203,0.810127,0.808176,0.808176,0.443038,0.694969,0.696203,0.810127,0.808176,0.808176,0.808176,0.810127,0.810127,0.810127,0.810127,0.696203,0.808176,0.810127,0.556962,0.696203,0.696203,0.694969,0.696203,0.696203,0.696203,0.694969,0.694969,0.694969,0.696203,0.696203,0.694969,0.696203,0.810127,0.810127,0.696203,0.696203,0.694969,0.810127,0.696203,0.305031,0.696203,0.696203,0.808176,0.808176,0.810127,0.556962,0.696203,0.808176,0.810127,0.810127,0.305031,0.696203,0.694969,0.694969,0.808176,0.808176,0.305031,0.696203,0.808176,0.189873,0.696203,0.696203,0.696203,0.696203,0.694969,0.808176,0.696203,0.808176,0.696203,0.303797,0.694969,0.694969,0.696203,0.696203,0.694969,0.810127,0.810127] area_under_roc_curve 0.7024261603375521 [0.191824,0.696203,0.694969,0.303797,0.696203,0.694969,0.696203,0.694969,0.696203,0.808176,0.694969,0.694969,0.696203,0.556962,0.696203,0.694969,0.808176,0.808176,0.810127,0.808176,0.810127,0.696203,0.808176,0.696203,0.810127,0.808176,0.808176,0.696203,0.443038,0.694969,0.810127,0.810127,0.808176,0.808176,0.810127,0.810127,0.810127,0.810127,0.696203,0.808176,0.305031,0.810127,0.696203,0.696203,0.696203,0.696203,0.694969,0.696203,0.694969,0.694969,0.696203,0.696203,0.696203,0.443038,0.696203,0.808176,0.810127,0.694969,0.443038,0.696203,0.810127,0.696203,0.556962,0.696203,0.694969,0.808176,0.810127,0.808176,0.556962,0.694969,0.808176,0.808176,0.810127,0.810127,0.696203,0.696203,0.694969,0.808176,0.808176,0.556962,0.696203,0.808176,0.694969,0.694969,0.696203,0.696203,0.696203,0.696203,0.305031,0.696203,0.810127,0.696203,0.556962,0.696203,0.694969,0.696203,0.694969,0.696203,0.810127,0.808176] area_under_roc_curve 0.7134832019743657 [0.201258,0.705696,0.704403,0.547468,0.705696,0.704403,0.705696,0.704403,0.705696,0.798742,0.704403,0.704403,0.705696,0.547468,0.705696,0.704403,0.798742,0.798742,0.800633,0.798742,0.800633,0.705696,0.798742,0.705696,0.800633,0.798742,0.798742,0.705696,0.705696,0.704403,0.800633,0.800633,0.798742,0.798742,0.800633,0.800633,0.800633,0.800633,0.705696,0.798742,0.798742,0.547468,0.705696,0.705696,0.705696,0.705696,0.704403,0.705696,0.704403,0.704403,0.705696,0.705696,0.705696,0.705696,0.705696,0.798742,0.800633,0.704403,0.705696,0.705696,0.800633,0.199367,0.800633,0.705696,0.704403,0.798742,0.800633,0.798742,0.547468,0.704403,0.798742,0.798742,0.800633,0.800633,0.705696,0.705696,0.704403,0.798742,0.295597,0.800633,0.705696,0.295597,0.704403,0.704403,0.705696,0.705696,0.705696,0.705696,0.798742,0.705696,0.800633,0.705696,0.800633,0.705696,0.201258,0.705696,0.704403,0.705696,0.800633,0.798742] 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 0.0003181461115475255 [0,0,0,0,0,0.021053,0,0,0,0.029851,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.0003098225214198286 [0,0,0,0.026316,0,0,0,0.023256,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.00030883025773982006 [0,0,0,0.024096,0,0,0.025316,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.0003125 [0,0,0,0,0,0,0.022222,0,0,0,0,0,0,0,0,0,0,0,0.027778,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.0003125 [0,0.027778,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.022222,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.0003144409937888199 [0,0.021739,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.028571,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.0003134189753908064 [0,0.021978,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.028169,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.0003246753246753247 [0,0.020202,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.031746,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.0003246753246753247 [0,0,0.020202,0,0,0,0,0,0,0.031746,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.0003196022727272727 [0,0,0.020833,0,0,0,0,0,0,0.030303,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] kappa 0.006289308176100629 kappa 0.006289308176100629 kappa 0.006289308176100629 kappa 0.006289308176100629 kappa 0.006289308176100629 kappa 0.006289308176100629 kappa 0.006289308176100629 kappa 0.006289308176100629 kappa 0.006289308176100629 kappa 0.006289308176100629 kb_relative_information_score 19.518967717483765 kb_relative_information_score 19.30730433237767 kb_relative_information_score 18.98610108435397 kb_relative_information_score 19.008865730354106 kb_relative_information_score 19.250922260208007 kb_relative_information_score 19.375063926469252 kb_relative_information_score 19.552531390709397 kb_relative_information_score 19.420265389675617 kb_relative_information_score 19.009376122622665 kb_relative_information_score 19.12320370601408 mean_absolute_error 0.01964461921951822 mean_absolute_error 0.019654058664222644 mean_absolute_error 0.0196590367547861 mean_absolute_error 0.01965357742641285 mean_absolute_error 0.01965473180457466 mean_absolute_error 0.019646870622308528 mean_absolute_error 0.01964462562479337 mean_absolute_error 0.019645696033742846 mean_absolute_error 0.019651367193282303 mean_absolute_error 0.019648113766534244 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] precision 0.00016118633139909736 [0,0,0,0,0,0.010638,0,0,0,0.015152,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.00015686274509803922 [0,0,0,0.013333,0,0,0,0.011765,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.00015634771732332708 [0,0,0,0.012195,0,0,0.012821,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.0001582528881152081 [0,0,0,0,0,0,0.011236,0,0,0,0,0,0,0,0,0,0,0,0.014085,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.0001582528881152081 [0,0.014085,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.011236,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.00015926102882624622 [0,0.010989,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.014493,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.00015873015873015873 [0,0.011111,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.014286,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.00016458196181698485 [0,0.010204,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.016129,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.00016458196181698485 [0,0,0.010204,0,0,0,0,0,0,0.016129,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.00016194331983805668 [0,0,0.010526,0,0,0,0,0,0,0.015385,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] predictive_accuracy 0.0125 predictive_accuracy 0.0125 predictive_accuracy 0.0125 predictive_accuracy 0.0125 predictive_accuracy 0.0125 predictive_accuracy 0.0125 predictive_accuracy 0.0125 predictive_accuracy 0.0125 predictive_accuracy 0.0125 predictive_accuracy 0.0125 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 0.0125 [0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.0125 [0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.0125 [0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.0125 [0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.0125 [0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.0125 [0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.0125 [0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.0125 [0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.0125 [0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.0125 [0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] relative_absolute_error 0.9921524858342521 relative_absolute_error 0.9926292254657885 relative_absolute_error 0.9928806441811144 relative_absolute_error 0.9926049205259 relative_absolute_error 0.9926632224532639 relative_absolute_error 0.9922661930458836 relative_absolute_error 0.9921528093329968 relative_absolute_error 0.9922068703910512 relative_absolute_error 0.9924932925900137 relative_absolute_error 0.9923289781077884 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 0.09911753336560203 root_mean_squared_error 0.099163955249312 root_mean_squared_error 0.0991924433360416 root_mean_squared_error 0.09917799616767559 root_mean_squared_error 0.09917021493692167 root_mean_squared_error 0.09913591573556511 root_mean_squared_error 0.09912558284252278 root_mean_squared_error 0.09911569035139407 root_mean_squared_error 0.0991475110966543 root_mean_squared_error 0.09913472812847991 root_relative_squared_error 0.9961686918764666 root_relative_squared_error 0.9966352493623074 root_relative_squared_error 0.9969215654067838 root_relative_squared_error 0.9967763659014711 root_relative_squared_error 0.9966981615899018 root_relative_squared_error 0.9963534416459364 root_relative_squared_error 0.9962495921634507 root_relative_squared_error 0.9961501688867361 root_relative_squared_error 0.9964699794096985 root_relative_squared_error 0.9963415057456335 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 271.9136860000617 usercpu_time_millis 184.1238990001557 usercpu_time_millis 157.18088200003422 usercpu_time_millis 158.17975199990997 usercpu_time_millis 157.4612839999645 usercpu_time_millis 180.58605299995634 usercpu_time_millis 160.02055500007373 usercpu_time_millis 158.71488100003717 usercpu_time_millis 158.5946079999303 usercpu_time_millis 156.92998099996203 usercpu_time_millis_testing 1.2753160000329444 usercpu_time_millis_testing 0.9094650000633919 usercpu_time_millis_testing 0.8841280000524421 usercpu_time_millis_testing 0.9086709999337472 usercpu_time_millis_testing 0.9013549999963288 usercpu_time_millis_testing 0.9070060000340163 usercpu_time_millis_testing 0.9244310000440237 usercpu_time_millis_testing 0.8859460000394392 usercpu_time_millis_testing 0.903165999943667 usercpu_time_millis_testing 0.8880799999815281 usercpu_time_millis_training 270.6383700000288 usercpu_time_millis_training 183.2144340000923 usercpu_time_millis_training 156.29675399998177 usercpu_time_millis_training 157.27108099997622 usercpu_time_millis_training 156.55992899996818 usercpu_time_millis_training 179.67904699992232 usercpu_time_millis_training 159.0961240000297 usercpu_time_millis_training 157.82893499999773 usercpu_time_millis_training 157.69144199998664 usercpu_time_millis_training 156.0419009999805