5958200 1 Jan van Rijn 9954 Supervised Classification 6952 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1) 3992941 axis 0 6947 categorical_features [] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "mean" 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 C 0.6112366557777182 6953 cache_size 200 6953 class_weight null 6953 coef0 0.5660557112976163 6953 decision_function_shape null 6953 degree 3 6953 gamma 0.5213939455788551 6953 kernel "sigmoid" 6953 max_iter -1 6953 probability true 6953 random_state 23305 6953 shrinking false 6953 tol 2.7466401228253012e-05 6953 verbose false 6953 openml-pimp openml-python Sklearn_0.18.1. 1491 one-hundred-plants-margin https://www.openml.org/data/download/1592283/phpCsX3fx -1 12839829 description https://api.openml.org/data/download/12839829/description.xml -1 12839830 predictions https://api.openml.org/data/download/12839830/predictions.arff area_under_roc_curve 0.3290250157828283 [0.385219,0.316998,0.306108,0.30161,0.302951,0.308673,0.306187,0.313447,0.30958,0.301294,0.315262,0.31321,0.334044,0.346078,0.316446,0.390428,0.320431,0.344026,0.339765,0.365609,0.325402,0.334004,0.354088,0.308396,0.324732,0.327296,0.384549,0.323311,0.314986,0.311711,0.3314,0.30236,0.360953,0.30883,0.323706,0.302044,0.329664,0.3445,0.303346,0.301807,0.379972,0.308239,0.301136,0.316288,0.307607,0.394137,0.302557,0.328007,0.314039,0.312539,0.35389,0.315183,0.319997,0.369003,0.320194,0.329822,0.301176,0.307844,0.320155,0.329822,0.30741,0.351918,0.306779,0.321733,0.306897,0.320944,0.374132,0.302794,0.331795,0.373974,0.374763,0.302517,0.34959,0.33136,0.347854,0.313486,0.308909,0.385811,0.308673,0.32122,0.344934,0.311435,0.309462,0.315183,0.348998,0.316446,0.303267,0.330571,0.341698,0.347301,0.340199,0.303819,0.306621,0.36194,0.332663,0.327809,0.355548,0.319287,0.395991,0.360717] average_cost 0 kappa -0.010101010101010102 kb_relative_information_score 59.793755398376696 mean_absolute_error 0.01978584031159856 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 prior_entropy 6.6438561897747395 recall 0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] relative_absolute_error 0.9992848642221476 root_mean_prior_squared_error 0.09949874371066209 root_mean_squared_error 0.09951139973659717 root_relative_squared_error 1.0001271978465567 total_cost 0 area_under_roc_curve 0.05106455497173794 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[0.202532,0.025316,0,0,0.009494,0.031646,0.012579,0.015823,0.022152,0,0.018987,0.022152,0.044025,0.088608,0.022152,0.117089,0.012658,0.082278,0.150943,0.088608,0.025157,0.012579,0.072785,0.006289,0.025157,0.047468,0.183544,0.044025,0.006329,0.015823,0.025157,0,0.091772,0.006329,0.012579,0,0.044025,0.119497,0,0,0.056962,0,0,0.006289,0.003165,0.132075,0.006329,0.018868,0.003165,0.006329,0.03481,0.006289,0.037736,0.164557,0.012579,0.075949,0,0.003165,0.044025,0.050633,0.012579,0.031447,0.009494,0.018868,0.009494,0.025316,0.101266,0.015823,0,0.186709,0.161392,0.006329,0.138365,0.047468,0.050314,0.009494,0.006329,0.142405,0,0.050633,0.100629,0.03481,0.009494,0.015823,0.006289,0.018868,0,0.044304,0.047468,0.081761,0.110759,0,0.018868,0.075949,0.018987,0.069182,0.123418,0.025316,0.308176,0.012658] area_under_roc_curve 0.047183992118461936 [0.110759,0.018868,0.012658,0,0.018868,0.003165,0,0.044304,0.025157,0,0.025316,0.012658,0.062893,0.232704,0.031447,0.186709,0.022152,0.063291,0.069182,0.136076,0.028481,0.066456,0,0.006329,0.085443,0.041139,0.177215,0,0.018868,0.031646,0.037736,0,0.164557,0.018987,0.062893,0,0.072785,0.098101,0,0,0.10443,0.003165,0,0.056604,0,0.327044,0,0.018987,0,0.012658,0.037736,0.025157,0.006329,0.044025,0.009494,0.015823,0,0.031646,0.028481,0.050314,0,0.063291,0.012579,0,0.006329,0.015823,0.113208,0,0.044304,0.079114,0.10443,0,0.031447,0.018868,0.148734,0.018868,0.022152,0.117089,0.015823,0.056604,0.025157,0.012658,0.003165,0.037975,0.188679,0.050314,0.018868,0.037736,0.031646,0.056962,0.132075,0.009494,0,0.08805,0.06962,0.050314,0.044304,0,0.226415,0.158228] area_under_roc_curve 0.048787417403073026 [0.262658,0,0.028481,0,0,0.028481,0.006289,0.012658,0,0.003165,0.018987,0.025316,0.044025,0.044025,0.031447,0.18038,0.041139,0.098101,0.075472,0.148734,0.03481,0.066456,0.009494,0.003165,0.066456,0.047468,0.189873,0.012579,0.012579,0.018987,0.025157,0,0.091772,0.009494,0.006289,0.003165,0.053797,0.082278,0.006329,0,0.098101,0.012658,0,0.037736,0.006289,0.144654,0,0.053797,0.018987,0.015823,0.08805,0.012579,0.044304,0.075472,0.063291,0.047468,0,0.003165,0.031646,0.031447,0.018987,0.088608,0.012579,0.006289,0,0.053797,0.132075,0,0.015823,0.063291,0.123418,0.006329,0.075472,0.062893,0.050633,0.044025,0.012658,0.237342,0.003165,0.069182,0.050314,0,0,0.041139,0.150943,0.012579,0.006289,0.031447,0.060127,0.056962,0.044025,0.006329,0.012579,0.044025,0.037975,0.018868,0.129747,0.012579,0.213836,0.148734] area_under_roc_curve 0.04746636414298226 [0.101266,0.037736,0,0,0,0.003165,0.006329,0.028481,0.006289,0,0.006289,0,0.053797,0.012579,0,0.231013,0.044025,0.106918,0.047468,0.14557,0.022152,0.025316,0.03481,0.015823,0.022152,0.144654,0.075472,0.110759,0,0.003165,0.088608,0.006289,0.106918,0.031447,0.022152,0,0.041139,0.075949,0.003165,0,0.155063,0.012658,0,0.012658,0.075472,0.088608,0.009494,0.079114,0.012579,0.012579,0.106918,0.015823,0.041139,0.119497,0.063291,0.060127,0,0.006329,0.03481,0.012579,0.022152,0.139241,0.012579,0,0.012658,0.075472,0.132075,0.009494,0.044304,0.044304,0.113208,0,0.075949,0.100629,0.044304,0.006289,0,0.257862,0.031447,0.025157,0.142405,0.018868,0.009494,0.012658,0.060127,0.012658,0,0.044025,0.050314,0.075949,0.037736,0,0.009494,0.138365,0.037736,0.018987,0.132911,0.050314,0.158228,0.085443] area_under_roc_curve 0.04513424488496142 [0.060127,0.031447,0,0,0,0.006329,0.006329,0.015823,0.018868,0,0.050314,0,0.047468,0.006289,0.056604,0.151899,0.025157,0.150943,0.06962,0.079114,0.028481,0.028481,0.148734,0.012658,0.025316,0.037736,0.132075,0.031646,0.119497,0.009494,0.066456,0,0.09434,0.012579,0.022152,0,0.056962,0.094937,0.003165,0,0.136076,0.003165,0,0.031646,0.037736,0.158228,0,0.047468,0.012579,0.050314,0.295597,0.044304,0.063291,0.075472,0.022152,0.047468,0,0,0.044304,0.056604,0.003165,0.120253,0.012579,0.006329,0.003165,0.062893,0.188679,0,0.041139,0.025316,0.119497,0,0.085443,0.018868,0.050633,0.012579,0,0.018868,0,0.031447,0.075949,0.018868,0.018987,0.022152,0.079114,0.028481,0,0.037736,0.075472,0.079114,0.037736,0,0.003165,0.044025,0.025157,0.028481,0.072785,0.037736,0.148734,0.151899] area_under_roc_curve 0.04492974285486826 [0.044025,0.03481,0.012579,0,0,0.018868,0.012658,0,0.018987,0,0.025157,0.006289,0.009494,0.056962,0.018987,0.144654,0.018868,0.09434,0.060127,0.119497,0.015823,0.018987,0.138365,0.015823,0.047468,0.025157,0.132075,0.012658,0,0.018868,0.050633,0,0.075472,0.012579,0.006329,0,0.047468,0.041139,0.006329,0,0.27673,0,0,0.025316,0.012658,0.28481,0,0.03481,0.025157,0.018868,0.085443,0.015823,0.018987,0.151899,0.056962,0.119497,0,0.056604,0.015823,0.025316,0.009494,0.091772,0.003165,0.009494,0.006289,0.018868,0.14557,0,0.022152,0.119497,0.062893,0.006289,0.158228,0.022152,0.041139,0.047468,0.006289,0.125786,0.018868,0.047468,0.094937,0.037736,0.012579,0.018868,0.044304,0.015823,0,0.037975,0.138365,0.094937,0.072785,0.006329,0.006329,0.088608,0.025157,0.088608,0.08805,0.006329,0.148734,0.106918] area_under_roc_curve 0.04213040363028423 [0.100629,0.053797,0,0,0,0,0.006329,0,0.015823,0,0.025157,0,0.03481,0.03481,0.022152,0.194969,0.037736,0.025157,0.06962,0.132075,0.06962,0.066456,0.012579,0.015823,0.050633,0.012579,0.132075,0.072785,0.018987,0.044025,0.031646,0,0.138365,0,0.028481,0.006329,0.03481,0.050633,0,0,0.100629,0.006329,0,0.012658,0.012658,0.053797,0,0.041139,0.012579,0.012579,0.053797,0.009494,0.041139,0.091772,0.012658,0.037736,0,0.031447,0.03481,0.056962,0.012658,0.050633,0.015823,0.009494,0.018868,0.037736,0.129747,0,0,0.056604,0.150943,0,0.044304,0.041139,0.132911,0.03481,0.012579,0.194969,0.012579,0.022152,0.050633,0.025157,0.037736,0.006289,0.056962,0.006329,0.003165,0.050633,0.037736,0.113924,0.088608,0,0.003165,0.126582,0,0.047468,0.163522,0.044304,0.202532,0.138365] 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 -0.012658227848101266 kappa -0.012658227848101266 kappa -0.012658227848101266 kappa -0.012658227848101266 kappa -0.012658227848101266 kappa -0.012658227848101266 kappa -0.012658227848101266 kappa -0.012658227848101266 kappa -0.012658227848101266 kappa -0.012658227848101266 kb_relative_information_score 5.885573289700786 kb_relative_information_score 5.8865261195621645 kb_relative_information_score 6.056496009824616 kb_relative_information_score 6.094310323733746 kb_relative_information_score 6.141005343585423 kb_relative_information_score 6.179605964608197 kb_relative_information_score 5.915651329839409 kb_relative_information_score 5.938420309575617 kb_relative_information_score 5.838599824286473 kb_relative_information_score 5.857566883660212 mean_absolute_error 0.01978614440916361 mean_absolute_error 0.019785978953451532 mean_absolute_error 0.019785517014846345 mean_absolute_error 0.019785294662280222 mean_absolute_error 0.019785367342413415 mean_absolute_error 0.019785084496257835 mean_absolute_error 0.01978630843555603 mean_absolute_error 0.01978608488570181 mean_absolute_error 0.019786309062364418 mean_absolute_error 0.0197863138539503 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 predictive_accuracy 0 predictive_accuracy 0 predictive_accuracy 0 predictive_accuracy 0 predictive_accuracy 0 predictive_accuracy 0 predictive_accuracy 0 predictive_accuracy 0 predictive_accuracy 0 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 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] relative_absolute_error 0.9993002226850293 relative_absolute_error 0.9992918663359344 relative_absolute_error 0.9992685361033492 relative_absolute_error 0.9992573061757671 relative_absolute_error 0.9992609768895647 relative_absolute_error 0.999246691730192 relative_absolute_error 0.9993085068462625 relative_absolute_error 0.9992972164495846 relative_absolute_error 0.9993085385032517 relative_absolute_error 0.9993087805025387 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 0.09950858012235447 root_mean_squared_error 0.0995074887269202 root_mean_squared_error 0.09951258887249563 root_mean_squared_error 0.09951148088446664 root_mean_squared_error 0.09951480060135974 root_mean_squared_error 0.09951345192247296 root_mean_squared_error 0.09951412967361156 root_mean_squared_error 0.09951292622703226 root_mean_squared_error 0.09950920557117086 root_mean_squared_error 0.099509344466305 root_relative_squared_error 1.0000988596571734 root_relative_squared_error 1.0000878907203448 root_relative_squared_error 1.0001391491120113 root_relative_squared_error 1.0001280134133312 root_relative_squared_error 1.0001613778234666 root_relative_squared_error 1.000147823090648 root_relative_squared_error 1.0001546347458843 root_relative_squared_error 1.0001425396526757 root_relative_squared_error 1.000105145654293 root_relative_squared_error 1.000106541602915 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 2422.1506059999997 usercpu_time_millis 2430.8693489999996 usercpu_time_millis 2435.3083610000012 usercpu_time_millis 2434.431717999999 usercpu_time_millis 2432.4095969999994 usercpu_time_millis 2430.448674999999 usercpu_time_millis 2442.2471419999997 usercpu_time_millis 2436.3597709999995 usercpu_time_millis 2433.6725739999993 usercpu_time_millis 2427.564351000001 usercpu_time_millis_testing 146.80184799999995 usercpu_time_millis_testing 140.2497519999999 usercpu_time_millis_testing 147.96920300000062 usercpu_time_millis_testing 145.77279599999926 usercpu_time_millis_testing 146.07359299999877 usercpu_time_millis_testing 143.34089799999816 usercpu_time_millis_testing 147.7205820000016 usercpu_time_millis_testing 148.72773600000144 usercpu_time_millis_testing 148.17725800000048 usercpu_time_millis_testing 143.11648199999993 usercpu_time_millis_training 2275.3487579999996 usercpu_time_millis_training 2290.619597 usercpu_time_millis_training 2287.3391580000007 usercpu_time_millis_training 2288.6589219999996 usercpu_time_millis_training 2286.3360040000007 usercpu_time_millis_training 2287.107777000001 usercpu_time_millis_training 2294.526559999998 usercpu_time_millis_training 2287.632034999998 usercpu_time_millis_training 2285.4953159999986 usercpu_time_millis_training 2284.447869000001