5806170 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) 3840921 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 C 0.03481012366683752 6953 cache_size 200 6953 class_weight null 6953 coef0 0.5461836607171549 6953 decision_function_shape null 6953 degree 3 6953 gamma 7.0919089480943835 6953 kernel "sigmoid" 6953 max_iter -1 6953 probability true 6953 random_state 17226 6953 shrinking true 6953 tol 0.04759089867811488 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 12536519 description https://api.openml.org/data/download/12536519/description.xml -1 12536518 predictions https://api.openml.org/data/download/12536518/predictions.arff area_under_roc_curve 0.3544341856060607 [0.393939,0.320352,0.311198,0.301491,0.308436,0.312934,0.306384,0.319366,0.313526,0.301215,0.319444,0.330966,0.343277,0.40625,0.352036,0.436395,0.330611,0.354246,0.347775,0.373224,0.329703,0.374211,0.391927,0.316998,0.333688,0.335306,0.391375,0.369121,0.410788,0.331479,0.341856,0.307528,0.367345,0.312618,0.387784,0.304688,0.334517,0.349195,0.316801,0.30883,0.468395,0.411182,0.301531,0.350458,0.307252,0.421283,0.304175,0.343119,0.414457,0.398082,0.402936,0.323035,0.382694,0.363045,0.338778,0.332544,0.301136,0.35389,0.319839,0.379104,0.319681,0.35464,0.311435,0.390941,0.332347,0.399858,0.377604,0.308239,0.377052,0.453046,0.437618,0.305319,0.388573,0.405066,0.390664,0.370265,0.390743,0.4564,0.400608,0.327612,0.366872,0.312658,0.405658,0.317156,0.406171,0.358112,0.306147,0.355666,0.378512,0.373698,0.341777,0.30666,0.312342,0.361427,0.346275,0.335701,0.362926,0.317787,0.397491,0.366911] average_cost 0 kappa -0.010101010101010102 kb_relative_information_score 28.089162207724982 mean_absolute_error 0.019794978408325226 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 0.9997463842588479 root_mean_prior_squared_error 0.09949874371066209 root_mean_squared_error 0.0994941671511901 root_relative_squared_error 0.9999540038466688 total_cost 0 area_under_roc_curve 0.055330984794204285 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[0.142405,0.018868,0.022152,0,0.018868,0.003165,0,0.044304,0.031447,0,0.025316,0.018987,0.069182,0.245283,0.037736,0.212025,0.015823,0.066456,0.069182,0.142405,0.025316,0.085443,0,0.006329,0.088608,0.041139,0.174051,0,0.018868,0.044304,0.044025,0,0.177215,0.022152,0.062893,0,0.072785,0.094937,0,0,0.224684,0,0,0.044025,0,0.283019,0,0.018987,0,0.006329,0.037736,0.031447,0.012658,0.044025,0.009494,0.015823,0,0.028481,0.028481,0.037736,0,0.075949,0.012579,0,0.009494,0.025316,0.119497,0,0.041139,0.072785,0.132911,0,0.050314,0.018868,0.155063,0.018868,0.022152,0.139241,0.015823,0.056604,0.037736,0.012658,0.006329,0.037975,0.188679,0.044025,0.018868,0.037736,0.044304,0.060127,0.144654,0.009494,0,0.09434,0.079114,0.056604,0.050633,0,0.232704,0.170886] area_under_roc_curve 0.054873218692779266 [0.322785,0,0.03481,0,0,0.03481,0.006289,0.018987,0,0.003165,0.018987,0.037975,0.081761,0.044025,0.031447,0.202532,0.031646,0.098101,0.075472,0.14557,0.031646,0.101266,0.015823,0.003165,0.066456,0.050633,0.189873,0.062893,0.012579,0.018987,0.037736,0,0.094937,0.009494,0.031447,0.003165,0.053797,0.082278,0.006329,0,0.237342,0.012658,0,0.037736,0.006289,0.157233,0,0.060127,0.025316,0.015823,0.075472,0.012579,0.050633,0.069182,0.044304,0.047468,0,0,0.031646,0.025157,0.022152,0.088608,0.012579,0.006289,0,0.047468,0.144654,0,0.015823,0.072785,0.151899,0.006329,0.08805,0.056604,0.063291,0.044025,0.012658,0.262658,0.006329,0.069182,0.062893,0,0.006329,0.041139,0.157233,0.012579,0,0.025157,0.082278,0.063291,0.050314,0.006329,0.012579,0.044025,0.037975,0.018868,0.136076,0.018868,0.213836,0.161392] area_under_roc_curve 0.052839642544383426 [0.113924,0.044025,0,0,0,0.003165,0.009494,0.041139,0.006289,0,0.012579,0.018868,0.063291,0.012579,0,0.240506,0.044025,0.106918,0.044304,0.142405,0.022152,0.050633,0.075949,0.022152,0.022152,0.144654,0.081761,0.129747,0,0.015823,0.088608,0.006289,0.113208,0.031447,0.022152,0,0.044304,0.075949,0.003165,0,0.237342,0.006329,0,0.012658,0.075472,0.088608,0.009494,0.079114,0.018868,0.012579,0.106918,0.018987,0.050633,0.125786,0.056962,0.060127,0,0.006329,0.037975,0.012579,0.031646,0.148734,0.012579,0,0.015823,0.09434,0.132075,0.006329,0.044304,0.044304,0.132075,0,0.088608,0.09434,0.044304,0.006289,0,0.264151,0.031447,0.025157,0.158228,0.018868,0.012658,0.015823,0.06962,0.012658,0,0.069182,0.069182,0.082278,0.044025,0,0.015823,0.138365,0.056604,0.022152,0.136076,0.050314,0.155063,0.120253] area_under_roc_curve 0.05007214791815939 [0.06962,0.031447,0,0,0,0.006329,0.006329,0.018987,0.018868,0,0.050314,0,0.060127,0.006289,0.056604,0.161392,0.025157,0.150943,0.06962,0.075949,0.025316,0.03481,0.164557,0.015823,0.025316,0.037736,0.132075,0.066456,0.144654,0.012658,0.072785,0,0.100629,0.012579,0.022152,0,0.053797,0.094937,0.003165,0,0.202532,0.003165,0,0.025316,0.037736,0.158228,0,0.053797,0.012579,0.050314,0.308176,0.050633,0.066456,0.081761,0.018987,0.047468,0,0,0.044304,0.069182,0.009494,0.136076,0.012579,0.006329,0.006329,0.075472,0.188679,0,0.037975,0.025316,0.132075,0,0.091772,0.025157,0.06962,0.018868,0,0.031447,0,0.031447,0.10443,0.018868,0.015823,0.025316,0.091772,0.03481,0.003165,0.062893,0.100629,0.082278,0.031447,0,0.003165,0.050314,0.031447,0.041139,0.079114,0.037736,0.148734,0.174051] area_under_roc_curve 0.04721882214791817 [0.069182,0.03481,0.012579,0,0,0.025157,0.012658,0,0.022152,0,0.025157,0.006289,0.022152,0.060127,0.018987,0.176101,0.012579,0.09434,0.060127,0.119497,0.015823,0.028481,0.157233,0.018987,0.047468,0.018868,0.132075,0.044304,0,0.018868,0.063291,0,0.081761,0.012579,0.015823,0,0.047468,0.044304,0.006329,0,0.27044,0,0,0.028481,0.012658,0.227848,0,0.044304,0.025157,0.018868,0.10443,0.018987,0.015823,0.142405,0.050633,0.119497,0,0.050314,0.015823,0.028481,0.022152,0.101266,0.003165,0.009494,0.006289,0.018868,0.148734,0,0.022152,0.125786,0.069182,0.012579,0.164557,0.022152,0.044304,0.047468,0.006289,0.138365,0.025157,0.047468,0.126582,0.037736,0.012579,0.025157,0.03481,0.009494,0,0.037975,0.138365,0.094937,0.072785,0.009494,0.006329,0.091772,0.031447,0.094937,0.106918,0.006329,0.151899,0.106918] area_under_roc_curve 0.04623761046095058 [0.169811,0.053797,0,0,0,0,0.003165,0.006289,0.018987,0,0.025157,0.006289,0.037975,0.041139,0.028481,0.220126,0.031447,0.025157,0.06962,0.132075,0.072785,0.088608,0.018868,0.018987,0.050633,0.012579,0.138365,0.10443,0.022152,0.044025,0.031646,0,0.157233,0,0.044304,0.009494,0.03481,0.053797,0,0,0.113208,0.006329,0,0.015823,0.015823,0.041139,0,0.044304,0.018868,0.012579,0.053797,0.015823,0.03481,0.101266,0.012658,0.037736,0,0.018868,0.03481,0.063291,0.018987,0.053797,0.015823,0.009494,0.018868,0.037736,0.132911,0,0,0.050314,0.163522,0,0.066456,0.041139,0.132911,0.03481,0.006289,0.194969,0.012579,0.025316,0.101266,0.025157,0.044025,0.006289,0.056962,0.009494,0.003165,0.053797,0.037736,0.120253,0.094937,0,0.006329,0.139241,0.025157,0.053797,0.169811,0.044304,0.202532,0.132075] 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 2.796680240882781 kb_relative_information_score 2.801504170560614 kb_relative_information_score 2.834673328737947 kb_relative_information_score 2.8442076300927486 kb_relative_information_score 2.8307564745501073 kb_relative_information_score 2.8494087931415795 kb_relative_information_score 2.7873163105113066 kb_relative_information_score 2.78838178994189 kb_relative_information_score 2.7757998435374396 kb_relative_information_score 2.7804336257685316 mean_absolute_error 0.019794928326847688 mean_absolute_error 0.019794825137258054 mean_absolute_error 0.019794904125277984 mean_absolute_error 0.019794813331323463 mean_absolute_error 0.019794998652013403 mean_absolute_error 0.019794842452315654 mean_absolute_error 0.019795251183689362 mean_absolute_error 0.01979515030012257 mean_absolute_error 0.019795019793081615 mean_absolute_error 0.019795050781322286 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 0.9997438548912957 relative_absolute_error 0.9997386432958596 relative_absolute_error 0.9997426325897955 relative_absolute_error 0.999738047036537 relative_absolute_error 0.999747406667342 relative_absolute_error 0.9997395177937182 relative_absolute_error 0.9997601607923903 relative_absolute_error 0.9997550656627544 relative_absolute_error 0.9997484743980597 relative_absolute_error 0.9997500394607198 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 0.09949306759194186 root_mean_squared_error 0.09949251808846231 root_mean_squared_error 0.09949392439858737 root_mean_squared_error 0.09949345603944636 root_mean_squared_error 0.0994953354581802 root_mean_squared_error 0.09949452715729129 root_mean_squared_error 0.09949575202425208 root_mean_squared_error 0.09949522220551339 root_mean_squared_error 0.09949384361229346 root_mean_squared_error 0.09949402488699831 root_relative_squared_error 0.999942952860423 root_relative_squared_error 0.9999374301426573 root_relative_squared_error 0.9999515640912141 root_relative_squared_error 0.9999468569047356 root_relative_squared_error 0.9999657457737179 root_relative_squared_error 0.9999576220441232 root_relative_squared_error 0.9999699324202658 root_relative_squared_error 0.9999646075415896 root_relative_squared_error 0.9999507521584108 root_relative_squared_error 0.9999525740377438 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 2602.7278960000003 usercpu_time_millis 2610.199243 usercpu_time_millis 2621.9714790000007 usercpu_time_millis 2622.9794450000004 usercpu_time_millis 2642.9290809999984 usercpu_time_millis 2626.938802999998 usercpu_time_millis 2626.482652 usercpu_time_millis 2641.345717 usercpu_time_millis 2624.9235580000022 usercpu_time_millis 2665.6274240000002 usercpu_time_millis_testing 162.6067080000002 usercpu_time_millis_testing 165.54241700000017 usercpu_time_millis_testing 152.32981599999994 usercpu_time_millis_testing 155.4036520000004 usercpu_time_millis_testing 166.06171499999965 usercpu_time_millis_testing 164.94602199999875 usercpu_time_millis_testing 151.1774250000002 usercpu_time_millis_testing 155.7820399999983 usercpu_time_millis_testing 153.34858499999982 usercpu_time_millis_testing 152.85843400000232 usercpu_time_millis_training 2440.121188 usercpu_time_millis_training 2444.656826 usercpu_time_millis_training 2469.641663000001 usercpu_time_millis_training 2467.575793 usercpu_time_millis_training 2476.8673659999986 usercpu_time_millis_training 2461.9927809999995 usercpu_time_millis_training 2475.305227 usercpu_time_millis_training 2485.563677000002 usercpu_time_millis_training 2471.5749730000025 usercpu_time_millis_training 2512.7689899999978