8830280 1 Jan van Rijn 9954 Supervised Classification 7707 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1) 6805330 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 copy true 7663 with_mean false 7663 with_std true 7663 C 0.0496980758296174 7708 cache_size 200 7708 class_weight null 7708 coef0 -0.8210848551430439 7708 decision_function_shape null 7708 degree 3 7708 gamma 3.101225885690763e-05 7708 kernel "poly" 7708 max_iter -1 7708 probability true 7708 random_state 21027 7708 shrinking false 7708 tol 0.0005566482770725655 7708 verbose false 7708 openml-pimp openml-python Sklearn_0.18.1. study_71 1491 one-hundred-plants-margin https://www.openml.org/data/download/1592283/phpCsX3fx -1 18576344 description https://api.openml.org/data/download/18576344/description.xml -1 18576345 predictions https://api.openml.org/data/download/18576345/predictions.arff area_under_roc_curve 0.41519570707070697 [0.373422,0.328677,0.322404,0.302399,0.332781,0.322996,0.320628,0.324771,0.331203,0.306384,0.384233,0.408065,0.408973,0.482599,0.328401,0.484493,0.403646,0.433594,0.435922,0.493134,0.426926,0.458294,0.469105,0.399582,0.458886,0.43967,0.44693,0.406408,0.478378,0.458333,0.371488,0.438447,0.477312,0.395557,0.461569,0.430832,0.445904,0.45857,0.392164,0.404632,0.495147,0.476681,0.397096,0.431463,0.307726,0.44839,0.314631,0.396267,0.476365,0.47163,0.483665,0.37575,0.450126,0.347893,0.405342,0.434186,0.303741,0.452296,0.450481,0.476562,0.395241,0.4811,0.405224,0.428504,0.427123,0.448982,0.449653,0.395399,0.447877,0.481692,0.492345,0.387547,0.482402,0.424874,0.461293,0.464291,0.47676,0.504616,0.470013,0.429332,0.432173,0.401397,0.452809,0.454901,0.437895,0.43095,0.357836,0.422664,0.473248,0.425545,0.377407,0.308041,0.351168,0.395833,0.419665,0.362176,0.371133,0.318932,0.407749,0.320628] average_cost 0 kappa -0.007575757575757576 kb_relative_information_score 11.477697850532497 mean_absolute_error 0.019796750853368607 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 0.0025 prior_entropy 6.6438561897747395 recall 0.0025 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.25] relative_absolute_error 0.9998359016852814 root_mean_prior_squared_error 0.09949874371066209 root_mean_squared_error 0.09948416569205097 root_relative_squared_error 0.9998534854002428 total_cost 0 area_under_roc_curve 0.033799309370273097 [0.245283,0.031646,0,0,0.003165,0,0.003165,0.012579,0.006329,0,0.028481,0.044304,0.088608,0.053797,0,0.232704,0,0.025316,0.050633,0.144654,0.075472,0.006289,0.012579,0.006289,0.012579,0.028481,0.060127,0,0.003165,0.018868,0,0,0.098101,0.012658,0.028481,0.006289,0,0.044025,0,0,0.113208,0.012579,0,0.012658,0,0.132911,0.018868,0.006289,0.009494,0.041139,0.056962,0.006329,0.012579,0.028481,0.012579,0.012579,0,0,0.031447,0.053797,0.006289,0.031447,0.015823,0.012658,0.006289,0.025316,0.091772,0,0,0.144654,0.120253,0,0.012658,0.025316,0.006289,0.003165,0.003165,0.189873,0,0.009494,0.006329,0.003165,0.012579,0.031447,0.06962,0.025316,0.003165,0.003165,0.120253,0.081761,0.037975,0,0,0.06962,0.025316,0.025316,0.157233,0.025316,0.094937,0.037736] area_under_roc_curve 0.033565699386991506 [0.226415,0.006329,0,0,0,0,0,0.012579,0.003165,0,0.022152,0.012658,0.044304,0.177215,0,0.144654,0,0.031646,0.022152,0.100629,0.006289,0.081761,0.056604,0,0.006289,0.047468,0.110759,0,0.015823,0,0,0,0.094937,0.003165,0.063291,0.006289,0.031447,0.069182,0.006289,0,0.169811,0.012579,0,0.031646,0,0.060127,0,0.006289,0.009494,0.018987,0.03481,0.037975,0.006289,0.018987,0,0.018868,0,0,0.044025,0.085443,0.006289,0.106918,0.006329,0.009494,0,0.018987,0.094937,0,0.050314,0.037736,0.075949,0,0.022152,0.018987,0.025157,0.003165,0.006329,0.167722,0.006329,0,0.028481,0.018987,0.006289,0.044025,0.047468,0.006329,0,0.006329,0.060127,0.025157,0.037975,0,0.006329,0.14557,0.022152,0.028481,0.132075,0.031646,0.132911,0.018868] area_under_roc_curve 0.02859197118063851 [0.066456,0.006329,0.006329,0.006289,0.006329,0.006329,0.056604,0.047468,0.012658,0,0.012658,0.022152,0.037736,0.006329,0.018987,0.101266,0,0.094937,0.018868,0.037975,0.050314,0.138365,0.06962,0.006289,0.006289,0.031646,0.091772,0.025157,0.006329,0.003165,0,0,0.110759,0.018987,0.037736,0,0.044025,0.062893,0.018868,0.003165,0.088608,0.025157,0,0.006289,0.009494,0.069182,0,0.050314,0.009494,0.006329,0.018987,0,0.006289,0.015823,0,0.018987,0,0.003165,0.075472,0.050633,0.012579,0.050314,0.003165,0.037736,0.006329,0.031646,0.060127,0,0.031447,0.03481,0.053797,0.006329,0,0.003165,0.056604,0.009494,0.012658,0.050633,0.012658,0.009494,0.025157,0.015823,0.012658,0.031646,0.018868,0.012579,0,0.009494,0.063291,0.08805,0.066456,0,0,0.056962,0.056962,0.037736,0.047468,0.006329,0.081761,0.025316] area_under_roc_curve 0.03234888742934481 [0.186709,0.031646,0.012658,0.006289,0,0.037975,0.025157,0.022152,0.022152,0,0.012658,0.03481,0.081761,0.060127,0.006329,0.107595,0,0.056962,0.138365,0.098101,0,0.012579,0.012658,0,0.018868,0.053797,0.03481,0.006289,0,0,0,0.003165,0.091772,0.009494,0.012579,0,0.037736,0.056604,0.012579,0,0.037975,0,0,0.006289,0,0.075472,0.009494,0.006289,0,0.003165,0.006329,0.006289,0.012579,0.075949,0.006289,0.053797,0,0,0.050314,0.025316,0.012579,0.050314,0.006329,0.012579,0.003165,0.015823,0.107595,0,0,0.094937,0.107595,0.003165,0.119497,0.009494,0.062893,0,0.003165,0.170886,0,0,0.025157,0.018987,0.031646,0.015823,0.006289,0,0,0.003165,0.009494,0.050314,0.031646,0,0.031447,0.044304,0.015823,0.044025,0.136076,0.031646,0.232704,0.009494] area_under_roc_curve 0.032741471618501744 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[0.202532,0,0.025316,0,0,0.063291,0.018868,0.03481,0,0,0.015823,0.031646,0.100629,0.018868,0.018868,0.123418,0,0.053797,0,0.126582,0.018987,0.101266,0.022152,0,0.015823,0.056962,0.041139,0.031447,0.006289,0.003165,0,0,0.075949,0.006329,0.106918,0.006329,0.022152,0.091772,0.012658,0,0.14557,0.015823,0,0.025157,0.006289,0.050314,0,0.047468,0.018987,0.006329,0.018868,0.012579,0.025316,0.031447,0.028481,0.053797,0,0.003165,0.031646,0.012579,0.022152,0.120253,0.018868,0,0,0.028481,0.037736,0,0.012658,0.044304,0.117089,0.006329,0.018868,0,0.066456,0.012579,0.003165,0.21519,0.006329,0.037736,0.037736,0,0.018987,0.044304,0.044025,0,0,0.006289,0.053797,0.03481,0.031447,0,0.025157,0.018868,0.03481,0.025157,0.094937,0.006289,0.220126,0.053797] area_under_roc_curve 0.03250139320117827 [0.079114,0.018868,0,0,0,0,0.012658,0.031646,0.006289,0,0,0.006289,0.063291,0.012579,0,0.199367,0,0.119497,0.015823,0.139241,0.003165,0.031646,0.03481,0.006329,0.012658,0.119497,0.056604,0.041139,0,0.012658,0.012658,0.006289,0.125786,0.012579,0.009494,0,0.037975,0.066456,0.003165,0,0.079114,0.009494,0,0.012658,0.044025,0.018987,0.009494,0.060127,0,0.012579,0.069182,0.006329,0.012658,0.037736,0.03481,0.041139,0,0.006329,0.037975,0.006289,0,0.196203,0,0.009494,0.003165,0.044025,0.08805,0.003165,0.015823,0.006329,0.031447,0,0.015823,0,0.041139,0,0,0.295597,0.006289,0.018868,0.101266,0,0.025316,0.018987,0.03481,0.012658,0,0,0.056604,0.056962,0.025157,0,0.009494,0.081761,0.025157,0.015823,0.107595,0.037736,0.085443,0.015823] area_under_roc_curve 0.033674667622004634 [0.063291,0.037736,0,0,0,0.003165,0.018987,0.025316,0.025157,0,0.044025,0.012579,0.066456,0.006289,0.006289,0.142405,0,0.150943,0.031646,0.025316,0,0.03481,0.018987,0.012658,0.018987,0.031447,0.075472,0.009494,0.113208,0.012658,0,0,0.100629,0.012579,0.037975,0,0.056962,0.072785,0.006329,0,0.132911,0.006329,0,0.012658,0.018868,0.107595,0,0.025316,0.012579,0.050314,0.213836,0.03481,0.031646,0.012579,0.009494,0.060127,0,0,0.037975,0.125786,0.009494,0.151899,0.006289,0,0,0.069182,0.220126,0,0.009494,0.009494,0.08805,0,0.015823,0.025157,0.085443,0.006289,0,0.031447,0,0.006289,0.037975,0.006289,0.025316,0.025316,0.041139,0.022152,0,0,0.075472,0.037975,0.037736,0,0,0.037736,0.031447,0.022152,0.053797,0.012579,0.098101,0.079114] area_under_roc_curve 0.02779585622163843 [0.037736,0.044304,0.006289,0.003165,0,0.006289,0.009494,0.006289,0.031646,0,0.025157,0.025157,0.03481,0.025316,0,0.144654,0,0.075472,0.012658,0.119497,0,0.015823,0.056604,0.015823,0.003165,0.025157,0.100629,0,0,0,0,0,0.08805,0.012579,0.025316,0,0.028481,0.060127,0.006329,0,0.100629,0,0,0.022152,0.006329,0.101266,0,0.022152,0.018868,0.031447,0.053797,0.003165,0.009494,0.047468,0.031646,0.09434,0,0.006289,0.018987,0.018987,0.012658,0.101266,0,0.006329,0,0.018868,0.113924,0.006289,0.015823,0.025157,0.044025,0.012579,0.10443,0.006329,0.053797,0.022152,0,0.044025,0.006289,0.009494,0.028481,0.006289,0.006289,0.025157,0.018987,0.015823,0,0.006329,0.018868,0.063291,0.050633,0,0.009494,0.079114,0.044025,0.082278,0.056604,0,0.110759,0.025157] area_under_roc_curve 0.027839144972534043 [0.044025,0.041139,0,0,0,0,0,0,0.009494,0,0.025157,0.018868,0.060127,0.022152,0.009494,0.169811,0,0.012579,0.022152,0.125786,0.050633,0.06962,0,0.012658,0.018987,0.006289,0.075472,0.03481,0.003165,0.012579,0,0,0.163522,0,0.018987,0.006329,0.015823,0.050633,0.006329,0,0.012579,0.009494,0,0.015823,0.012658,0.031646,0,0.018987,0.012579,0.012579,0.022152,0.006329,0.015823,0.053797,0.003165,0.031447,0,0,0.041139,0.028481,0.006329,0.06962,0.012658,0.012658,0.012579,0.037736,0.085443,0,0,0.012579,0.050314,0,0.009494,0.03481,0.110759,0.025316,0,0.138365,0.006289,0.006329,0.015823,0.031447,0.031447,0.006289,0.025316,0.015823,0,0.022152,0.018868,0.075949,0.060127,0,0.003165,0.094937,0,0.037975,0.150943,0.03481,0.142405,0.006289] 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 kappa 0 kappa -0.012658227848101266 kappa -0.012658227848101266 kappa -0.012658227848101266 kappa -0.012658227848101266 kb_relative_information_score 1.1962640966694216 kb_relative_information_score 1.1962486305774551 kb_relative_information_score 1.119795143956195 kb_relative_information_score 1.1208492384637727 kb_relative_information_score 1.0789550410827824 kb_relative_information_score 1.0788808890349053 kb_relative_information_score 1.152299181571606 kb_relative_information_score 1.152988311684595 kb_relative_information_score 1.190095731275309 kb_relative_information_score 1.1913215862164463 mean_absolute_error 0.019796602415520722 mean_absolute_error 0.019796600546941753 mean_absolute_error 0.019796832402981645 mean_absolute_error 0.019796827241229494 mean_absolute_error 0.019796957586245698 mean_absolute_error 0.019796959121688926 mean_absolute_error 0.01979674258017141 mean_absolute_error 0.01979673644681533 mean_absolute_error 0.01979662676624454 mean_absolute_error 0.019796623425846396 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 0.0125 predictive_accuracy 0.0125 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 0.0125 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1] recall 0.0125 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1] 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 0.9998284048242772 relative_absolute_error 0.9998283104516021 relative_absolute_error 0.9998400203526068 relative_absolute_error 0.9998397596580536 relative_absolute_error 0.9998463427396801 relative_absolute_error 0.9998464202873178 relative_absolute_error 0.9998354838470392 relative_absolute_error 0.9998351740815806 relative_absolute_error 0.9998296346588136 relative_absolute_error 0.9998294659518365 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 0.09948354903164731 root_mean_squared_error 0.09948353963597945 root_mean_squared_error 0.09948448988775097 root_mean_squared_error 0.09948446432102985 root_mean_squared_error 0.09948501254851275 root_mean_squared_error 0.09948502050582493 root_mean_squared_error 0.09948414360985883 root_mean_squared_error 0.09948411263341295 root_mean_squared_error 0.09948367075581634 root_mean_squared_error 0.09948365397597789 root_relative_squared_error 0.9998472877299944 root_relative_squared_error 0.9998471932999796 root_relative_squared_error 0.9998567436896235 root_relative_squared_error 0.9998564867344081 root_relative_squared_error 0.9998619966279249 root_relative_squared_error 0.9998620766019214 root_relative_squared_error 0.9998532634658617 root_relative_squared_error 0.9998529521408668 root_relative_squared_error 0.9998485111039237 root_relative_squared_error 0.9998483424602017 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 2242.830204000029 usercpu_time_millis 1859.8115219999727 usercpu_time_millis 1846.4623760000904 usercpu_time_millis 1840.496574999861 usercpu_time_millis 1840.3792660001272 usercpu_time_millis 1904.9199140001747 usercpu_time_millis 1848.5735449999083 usercpu_time_millis 1831.299478999881 usercpu_time_millis 1832.7841849998094 usercpu_time_millis 1835.7316389999596 usercpu_time_millis_testing 133.24190899993482 usercpu_time_millis_testing 134.54875299999003 usercpu_time_millis_testing 129.51895000014702 usercpu_time_millis_testing 124.29545700001654 usercpu_time_millis_testing 123.5620940001354 usercpu_time_millis_testing 123.34101600004033 usercpu_time_millis_testing 133.00034799999594 usercpu_time_millis_testing 123.72845000004418 usercpu_time_millis_testing 124.52397399988513 usercpu_time_millis_testing 124.12539599995398 usercpu_time_millis_training 2109.588295000094 usercpu_time_millis_training 1725.2627689999827 usercpu_time_millis_training 1716.9434259999434 usercpu_time_millis_training 1716.2011179998444 usercpu_time_millis_training 1716.8171719999918 usercpu_time_millis_training 1781.5788980001344 usercpu_time_millis_training 1715.5731969999124 usercpu_time_millis_training 1707.571028999837 usercpu_time_millis_training 1708.2602109999243 usercpu_time_millis_training 1711.6062430000056