8858398 1 Jan van Rijn 9954 Supervised Classification 7778 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.linear_model.logistic.LogisticRegression)(1) 6833162 axis 0 7660 categorical_features [] 7660 copy true 7660 fill_empty 0 7660 missing_values "NaN" 7660 strategy "median" 7660 strategy_nominal "most_frequent" 7660 verbose 0 7660 categorical_features [] 7661 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 7661 handle_unknown "ignore" 7661 n_values "auto" 7661 sparse true 7661 threshold 0.0 7662 C 1.0 7779 class_weight null 7779 dual false 7779 fit_intercept true 7779 intercept_scaling 1 7779 max_iter 100 7779 multi_class "ovr" 7779 n_jobs 1 7779 penalty "l2" 7779 random_state 1 7779 solver "liblinear" 7779 tol 0.0001 7779 verbose 0 7779 warm_start false 7779 openml-python Sklearn_0.18.1. 1491 one-hundred-plants-margin https://www.openml.org/data/download/1592283/phpCsX3fx -1 18632641 description https://api.openml.org/data/download/18632641/description.xml -1 18632640 predictions https://api.openml.org/data/download/18632640/predictions.arff area_under_roc_curve 0.9374676452020201 [0.741675,0.954269,0.974787,0.99712,0.984493,0.975694,0.987295,0.958176,0.977943,0.999763,0.965199,0.958846,0.933318,0.890112,0.960227,0.828638,0.971828,0.913984,0.917614,0.8823,0.948785,0.922033,0.911064,0.983546,0.958412,0.943419,0.852391,0.92953,0.964528,0.986861,0.94401,0.99637,0.891414,0.981218,0.929135,0.996567,0.946693,0.914773,0.993056,0.997672,0.831163,0.970644,0.999645,0.95206,0.98256,0.793048,0.990294,0.944326,0.942985,0.965199,0.876263,0.965593,0.936632,0.843237,0.940578,0.944129,0.999763,0.97309,0.961293,0.899661,0.982284,0.914062,0.984888,0.96587,0.986585,0.947325,0.854759,0.99633,0.931266,0.827612,0.879853,0.997356,0.904711,0.919705,0.893545,0.964489,0.980784,0.855193,0.981495,0.960582,0.917732,0.979285,0.956045,0.97455,0.862176,0.955887,0.996212,0.908894,0.916154,0.897175,0.921046,0.994831,0.974392,0.878117,0.908854,0.944721,0.875039,0.958176,0.814946,0.906921] average_cost 0 kappa 0.1900252525252525 kb_relative_information_score 79.53546662858929 mean_absolute_error 0.01974226863433543 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 0.198125 prior_entropy 6.6438561897747395 recall 0.198125 [0,0.25,0.25,0.875,0.5,0.3125,0.5,0.25,0.3125,1,0.0625,0.1875,0.0625,0,0.0625,0,0.25,0,0,0,0,0,0.0625,0.3125,0.0625,0,0,0.125,0.1875,0.1875,0.0625,0.8125,0,0.0625,0.125,1,0,0,0.5,0.875,0,0.1875,1,0,0.25,0,0.3125,0,0.125,0.25,0,0.0625,0.1875,0.0625,0.1875,0,1,0.25,0.125,0,0.25,0,0.1875,0.25,0.4375,0,0,0.625,0,0.1875,0,0.9375,0,0.0625,0.0625,0.1875,0.125,0,0.3125,0,0,0.0625,0.25,0,0,0.0625,0.875,0,0.1875,0,0,0.625,0.25,0,0.0625,0.25,0.0625,0.1875,0,0.0625] relative_absolute_error 0.9970842744613836 root_mean_prior_squared_error 0.09949874371066209 root_mean_squared_error 0.09921701146042788 root_relative_squared_error 0.9971684843473656 total_cost 0 area_under_roc_curve 0.9608241780113047 [0.786164,0.974684,1,1,1,1,0.993671,0.993711,0.993671,1,0.968354,0.971519,0.949367,0.901899,0.984177,0.805031,0.981013,0.946203,0.908228,0.886792,0.899371,0.993711,0.974843,0.987421,1,0.971519,0.882911,1,0.996835,1,0.958861,1,0.898734,0.981013,0.958861,0.987421,0.968553,0.918239,1,1,0.949686,0.987421,1,0.987342,1,0.857595,0.993711,0.981132,0.987342,0.949367,0.927215,0.987342,0.974843,0.901899,0.987421,0.974843,1,1,0.987421,0.936709,1,0.974843,0.993671,0.990506,0.993711,0.981013,0.886076,1,0.993711,0.704403,0.879747,1,0.96519,0.958861,1,0.990506,0.993671,0.860759,1,0.977848,0.971519,0.990506,0.987421,0.968553,0.911392,0.968354,0.990506,0.993671,0.93038,0.893082,0.955696,0.993711,0.996835,0.914557,0.990506,0.984177,0.830189,0.949367,0.901899,0.987421] area_under_roc_curve 0.9619272948013691 [0.823899,0.996835,1,1,1,1,0.993671,1,0.993671,1,0.974684,0.984177,0.981013,0.781646,1,0.855346,0.971519,0.958861,0.952532,0.874214,0.955975,0.930818,0.937107,0.987421,0.981132,0.943038,0.85443,1,0.974684,1,0.987342,1,0.920886,0.993671,0.977848,0.987421,0.962264,0.899371,0.993711,1,0.968553,0.993711,1,0.955696,1,0.901899,1,0.987421,0.993671,0.974684,0.971519,0.96519,0.993711,0.958861,0.987421,0.993711,1,1,0.955975,0.911392,0.993711,0.893082,0.987342,0.974684,1,0.984177,0.863924,1,0.830189,0.937107,0.886076,1,0.946203,0.949367,0.987421,0.981013,0.990506,0.911392,0.996835,1,0.974684,0.977848,0.993711,0.955975,0.93038,0.987342,0.996835,0.993671,0.971519,0.962264,0.968354,1,0.987342,0.832278,0.990506,0.974684,0.886792,0.962025,0.822785,0.968553] area_under_roc_curve 0.9662743312634341 [0.917722,0.981013,1,1,0.996835,0.990506,0.974843,0.955696,0.977848,1,0.987342,0.987342,0.987421,0.981013,0.949367,0.892405,0.996835,0.89557,0.943396,0.958861,0.886792,0.949686,0.838608,0.987421,0.968553,0.962025,0.863924,0.968553,0.996835,0.987342,0.949686,1,0.898734,0.984177,0.974843,1,0.949686,0.855346,1,0.990506,0.939873,0.974843,1,0.993711,0.993671,0.855346,1,0.937107,0.984177,0.990506,0.96519,1,0.993711,0.993671,0.993711,0.968354,1,0.996835,0.930818,0.968354,0.993711,0.943396,0.996835,0.937107,0.993671,0.968354,0.873418,1,0.993711,0.958861,0.939873,0.993671,0.987421,0.977848,0.968553,0.990506,0.987342,0.971519,0.977848,0.958861,0.981132,0.974684,0.990506,0.968354,0.937107,0.968553,1,0.990506,0.946203,0.924528,0.943038,1,1,0.927215,0.962025,0.955975,0.962025,0.977848,0.918239,0.987342] area_under_roc_curve 0.960932151102619 [0.810127,0.974684,1,1,0.996835,0.96519,0.987421,0.984177,0.984177,1,0.981013,0.981013,0.968553,0.927215,0.987342,0.892405,0.993671,0.917722,0.855346,0.911392,0.974843,0.993711,0.984177,1,0.974843,0.952532,0.822785,0.987421,0.993671,0.996835,0.993711,1,0.917722,0.993671,0.993711,1,0.955975,0.880503,1,1,0.981013,1,1,0.993711,1,0.91195,0.993671,0.974843,1,0.993671,0.977848,0.993711,0.981132,0.85443,0.987421,0.927215,1,0.996835,0.955975,0.952532,0.987421,0.974843,0.990506,0.981132,0.993671,0.977848,0.905063,0.987342,1,0.857595,0.85443,0.993671,0.880503,0.962025,0.968553,0.996835,0.996835,0.867089,1,0.958861,0.955975,0.96519,0.990506,0.984177,0.993711,0.974843,1,0.968354,0.977848,0.918239,0.911392,1,0.981132,0.93038,0.990506,0.955975,0.879747,0.977848,0.698113,0.993671] area_under_roc_curve 0.9613053299896501 [0.920886,0.981132,0.993671,1,0.993711,0.996835,1,0.962025,0.974843,1,0.977848,0.987342,0.943396,0.811321,0.993711,0.832278,0.987342,0.939873,0.930818,0.863924,0.977848,0.971519,1,1,0.936709,0.958861,0.835443,1,0.981132,0.981013,0.962264,1,0.841772,0.981013,0.943396,1,0.93038,0.908228,1,1,0.943038,1,1,0.981132,1,0.767296,1,0.981013,1,0.993671,0.981132,0.962264,0.993671,0.981132,0.990506,0.984177,1,0.971519,0.971519,0.968553,1,0.946203,0.987421,1,0.996835,0.981013,0.886792,1,0.968354,0.958861,0.920886,1,0.981132,0.981132,0.860759,0.981132,0.977848,0.898734,0.996835,0.949686,0.974843,0.987342,0.993671,0.962025,0.855346,0.968553,0.981132,0.987421,0.974684,0.949367,0.867925,0.990506,1,0.91195,0.949367,0.955975,0.958861,1,0.773585,0.917722] area_under_roc_curve 0.9594267474723347 [0.794304,1,0.990506,1,1,0.968354,0.993711,0.990506,1,0.996835,0.981013,0.977848,0.949686,0.962264,0.981132,0.844937,0.977848,0.908228,0.924528,0.857595,0.968354,0.943038,0.990506,1,0.952532,0.955696,0.81962,0.974843,0.993711,0.993671,0.974843,1,0.911392,0.990506,0.974843,0.996835,0.955696,0.920886,0.993671,1,0.927215,0.990506,1,0.974843,0.993711,0.886792,1,0.949367,0.984177,0.987342,0.981132,0.993711,0.962025,0.943396,0.955696,0.955696,1,1,0.968354,0.987421,0.981013,0.920886,0.987421,1,1,0.952532,0.867925,1,0.984177,0.96519,0.886076,0.993671,0.930818,0.955975,0.958861,0.962264,0.990506,0.800633,1,0.930818,0.968553,1,1,0.958861,0.924528,0.993711,1,0.993711,0.955696,0.946203,0.962264,0.993671,0.993711,0.955975,0.974684,0.993711,0.876582,0.987421,0.792453,0.908228] area_under_roc_curve 0.9635165392882735 [0.917722,0.968553,1,1,1,0.996835,0.993671,0.971519,0.993711,1,0.993711,1,0.955696,0.987421,1,0.791139,0.981132,0.899371,0.958861,0.85443,0.977848,0.987342,0.990506,0.987342,0.977848,0.855346,0.930818,0.962025,1,1,0.936709,0.993711,0.90566,0.968553,0.987342,1,0.958861,0.927215,0.996835,1,0.968354,0.987342,1,0.987342,0.924528,0.936709,0.990506,0.933544,0.987421,0.987421,0.918239,0.990506,0.968354,0.91195,0.949367,0.946203,1,0.993671,0.96519,0.987421,0.996835,0.879747,0.987421,1,0.987342,0.930818,0.867925,0.993671,0.958861,1,0.937107,1,0.955696,0.943396,0.977848,0.993711,1,0.779874,0.993711,0.974843,0.892405,0.981132,0.990506,0.987342,0.958861,0.987342,1,0.968553,0.962264,0.93038,0.968553,1,0.990506,0.893082,0.974843,0.984177,0.879747,0.949686,0.851266,0.981013] area_under_roc_curve 0.9649027744606318 [0.949367,0.974843,1,1,1,0.993671,0.987342,0.984177,0.981132,1,0.949686,1,0.958861,0.993711,0.955975,0.879747,0.974843,0.855346,0.933544,0.936709,0.974684,0.977848,0.96519,0.987342,0.977848,0.962264,0.874214,0.987342,0.874214,0.996835,0.962025,1,0.924528,0.987421,0.984177,1,0.952532,0.905063,0.996835,1,0.905063,0.996835,1,0.977848,0.974843,0.876582,1,0.955696,0.987421,0.962264,0.735849,0.971519,0.949367,0.968553,0.987342,0.952532,1,1,0.955696,0.949686,0.996835,0.901899,0.987421,0.993671,0.996835,0.930818,0.811321,1,0.96519,0.993671,0.91195,1,0.946203,0.981132,0.962025,0.987421,1,0.981132,1,0.968553,0.958861,0.981132,0.981013,0.977848,0.955696,0.974684,1,0.974843,0.968553,0.93038,0.974843,1,0.996835,0.968553,0.981132,0.984177,0.933544,0.962264,0.867089,0.927215] area_under_roc_curve 0.9645766161133666 [0.949686,0.971519,0.987421,1,1,0.981132,0.987342,1,0.987342,1,0.974843,0.993711,0.993671,0.943038,0.981013,0.867925,1,0.91195,0.939873,0.880503,0.987342,0.984177,0.949686,0.984177,0.962025,0.981132,0.874214,0.996835,1,1,0.968354,1,0.930818,0.987421,0.993671,1,0.955696,0.955696,0.993671,1,0.880503,1,1,0.974684,0.990506,0.765823,1,0.971519,0.974843,0.981132,0.920886,0.990506,0.987342,0.870253,0.968354,0.874214,1,0.968553,0.987342,0.977848,0.993671,0.917722,1,0.990506,0.993711,0.981132,0.860759,1,0.981013,0.90566,0.974843,0.993711,0.851266,0.981013,0.968354,0.955696,1,0.949686,0.981132,0.958861,0.971519,0.962264,0.993711,0.981132,0.974684,0.990506,1,0.981013,0.968553,0.920886,0.933544,0.993671,0.993671,0.920886,0.974843,0.933544,0.924528,0.993671,0.857595,0.968553] area_under_roc_curve 0.9653254617466764 [0.893082,0.946203,1,1,1,1,0.996835,1,0.987342,1,0.981132,0.993711,0.974684,0.96519,0.977848,0.805031,0.993711,0.987421,0.93038,0.874214,0.933544,0.939873,1,0.984177,0.955696,0.987421,0.886792,0.984177,0.981013,0.981132,0.987342,1,0.886792,1,0.981013,0.990506,0.96519,0.952532,1,1,0.981132,0.993671,1,0.987342,0.987342,0.962025,1,0.958861,0.987421,0.987421,0.962025,0.990506,0.968354,0.911392,0.990506,0.962264,1,0.987421,0.968354,0.939873,0.990506,0.949367,0.984177,0.990506,0.981132,0.974843,0.873418,1,1,0.962264,0.880503,1,0.971519,0.958861,0.889241,0.968354,1,0.880503,1,0.981013,0.987342,0.974843,0.962264,0.993711,0.946203,0.993671,0.996835,0.962025,0.987421,0.908228,0.920886,1,0.996835,0.886076,0.993711,0.962025,0.836478,0.958861,0.810127,0.968553] 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 0.16296267159658578 kappa 0.18184321283876803 kappa 0.1752577319587629 kappa 0.19411324912446387 kappa 0.1428346332624281 kappa 0.15567282321899736 kappa 0.2754193904071828 kappa 0.23767522444479444 kappa 0.18778529828427515 kappa 0.2064554221609919 kb_relative_information_score 7.786580043299982 kb_relative_information_score 7.568070467880538 kb_relative_information_score 8.02515937143412 kb_relative_information_score 7.867784058734071 kb_relative_information_score 8.166123838660836 kb_relative_information_score 7.982075586498491 kb_relative_information_score 8.36248294665491 kb_relative_information_score 8.17721675121847 kb_relative_information_score 7.734720819891371 kb_relative_information_score 7.865252744316377 mean_absolute_error 0.019742902586608147 mean_absolute_error 0.019746147760902243 mean_absolute_error 0.019740900658649214 mean_absolute_error 0.01974282556877047 mean_absolute_error 0.019741695566280092 mean_absolute_error 0.019742085184016028 mean_absolute_error 0.019738551159423873 mean_absolute_error 0.019740323511634864 mean_absolute_error 0.019744789019262535 mean_absolute_error 0.019742465327807133 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 0.16875 predictive_accuracy 0.1875 predictive_accuracy 0.18125 predictive_accuracy 0.2 predictive_accuracy 0.15 predictive_accuracy 0.1625 predictive_accuracy 0.28125 predictive_accuracy 0.24375 predictive_accuracy 0.19375 predictive_accuracy 0.2125 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 0.16875 [0,0,0,1,0,1,0,1,0,1,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,1,0,0,1,1,0,1,1,0,0,0,1,0,0,0,0,0,1,0,1,0,1,1,0,0,1,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,0,1,0,0,0,0,0,0,0,1] recall 0.1875 [0,0,0,1,0.5,1,0,1,0,1,0,0,0,0,0,0,0.5,0,0,0,0,0,0,1,0,0,0,0,0,1,0,1,0,0,0,1,0,0,1,0.5,0,1,1,0,0,0,1,0,0,0,0,0,1,0,1,0,1,1,0,0,1,0,0,0,1,0,0,1,0,1,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,0,1,0,0,0,0,0,0,0,0] recall 0.18125 [0,0,0,1,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0.5,1,1,0,0,1,1,0,0,1,0.5,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,1,0,1,0,0,1,0,0,0,0.5,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,1,0,0,1,0,0,0,0] recall 0.2 [0,0,0,1,0,0.5,1,0,0.5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0,0,1,1,0,0,1,1,0,0,1,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,1,0,1,0,0,1,0,0,0,1,0,0,0,1,0,0,1,0,0,0,0.5,0,0,0,0,0,0,0,1,0,0,0,0,1,1,0,0,1,0,0,0,0] recall 0.15 [0,1,0,0.5,1,0,1,0,1,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0.5,1,0,0,1,0,0,0,0] recall 0.1625 [0,1,0,1,1,0,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,0.5,0,0,0,1,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,1,0,0,1,0,1,0,0] recall 0.28125 [0,1,1,1,1,0,1,0,1,1,0,1,0,0,0,0,1,0,0,0,0,0,0,0.5,0,0,0,0,1,0,0,1,0,1,0,1,0,0,1,1,0,0,1,0,1,0,0.5,0,1,1,0,0,0,1,0,0,1,0,0,0,0,0,1,0,0.5,0,0,0.5,0,0,0,1,0,1,0,1,1,0,1,0,0,1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,1,0,0] recall 0.24375 [0,1,1,1,1,0,1,0,1,1,1,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,1,1,0,0,1,0,1,0,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0,0,1,0,1,0,0,0.5,0,0,0,1,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,1,0,0] recall 0.19375 [0,0,1,1,0.5,1,0,1,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0.5,0,0,0,1,0,0,0,1,0,0,1,0,0,0,1,0,0,1,0,0,0,0,0,0,1,1,0,0,0,0,0,0,1,0,0,1,0,1,0,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0] recall 0.2125 [0,0,1,0.5,1,1,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0.5,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0,0,1,0,0,0,1,0,0,1,0,0,0,0,0,0,1,1,0,0,0,0,0,0,1,0,0,1,0,1,0,1,0,0,0,0,1,0,1,0,0,0,1,0,0,0,1,0,1,0,0,0.5,0,0,1,0,1,0,0,0] relative_absolute_error 0.9971162922529351 relative_absolute_error 0.9972801899445559 relative_absolute_error 0.9970151847802617 relative_absolute_error 0.9971124024631535 relative_absolute_error 0.9970553316303061 relative_absolute_error 0.997075009293737 relative_absolute_error 0.9968965232032242 relative_absolute_error 0.996986035941153 relative_absolute_error 0.9972115666294192 relative_absolute_error 0.997094208475106 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 0.0992206175025018 root_mean_squared_error 0.09923591417513655 root_mean_squared_error 0.09921017207858804 root_mean_squared_error 0.0992199033295315 root_mean_squared_error 0.09921421135290082 root_mean_squared_error 0.09921599298816362 root_mean_squared_error 0.09919868366159806 root_mean_squared_error 0.09920719316186503 root_mean_squared_error 0.09922943620059153 root_mean_squared_error 0.09921798500325942 root_relative_squared_error 0.9972047264338428 root_relative_squared_error 0.9973584637782986 root_relative_squared_error 0.9970997459735453 root_relative_squared_error 0.9971975487254251 root_relative_squared_error 0.997140342207851 root_relative_squared_error 0.9971582483159722 root_relative_squared_error 0.9969842830384215 root_relative_squared_error 0.9970698067339941 root_relative_squared_error 0.997293357684458 root_relative_squared_error 0.9971782688209704 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 451.80665999941994 usercpu_time_millis 459.7485959966434 usercpu_time_millis 442.71669799491065 usercpu_time_millis 450.62035700539127 usercpu_time_millis 447.3963450000156 usercpu_time_millis 449.21457099553663 usercpu_time_millis 448.3429809915833 usercpu_time_millis 457.0059920006315 usercpu_time_millis 440.20163099776255 usercpu_time_millis 450.1842740064603 usercpu_time_millis_testing 2.8436900029191747 usercpu_time_millis_testing 2.797353998175822 usercpu_time_millis_testing 2.6407389959786087 usercpu_time_millis_testing 2.614813005493488 usercpu_time_millis_testing 2.7582870025071315 usercpu_time_millis_testing 2.5875349965645 usercpu_time_millis_testing 2.7473879963508807 usercpu_time_millis_testing 3.2214640013989992 usercpu_time_millis_testing 2.590611999039538 usercpu_time_millis_testing 2.8060610056854784 usercpu_time_millis_training 448.96296999650076 usercpu_time_millis_training 456.9512419984676 usercpu_time_millis_training 440.07595899893204 usercpu_time_millis_training 448.0055439998978 usercpu_time_millis_training 444.63805799750844 usercpu_time_millis_training 446.62703599897213 usercpu_time_millis_training 445.59559299523244 usercpu_time_millis_training 453.7845279992325 usercpu_time_millis_training 437.611018998723 usercpu_time_millis_training 447.37821300077485