8830363 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) 6805413 axis 0 7660 categorical_features [] 7660 copy true 7660 fill_empty 0 7660 missing_values "NaN" 7660 strategy "most_frequent" 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 24.3594864585759 7708 cache_size 200 7708 class_weight null 7708 coef0 0.8285448398641024 7708 decision_function_shape null 7708 degree 3 7708 gamma 2.1660236221554703 7708 kernel "rbf" 7708 max_iter -1 7708 probability true 7708 random_state 39977 7708 shrinking true 7708 tol 0.008042124258788 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 18576510 description https://api.openml.org/data/download/18576510/description.xml -1 18576511 predictions https://api.openml.org/data/download/18576511/predictions.arff area_under_roc_curve 0.3976712436868685 [0.409801,0.401239,0.403034,0.409407,0.404514,0.410176,0.407375,0.400588,0.408302,0.385476,0.41059,0.409071,0.385239,0.410413,0.410768,0.405579,0.396839,0.39386,0.420001,0.421283,0.399937,0.403685,0.385298,0.407631,0.394176,0.376164,0.427261,0.401397,0.392401,0.380879,0.375868,0.408164,0.381293,0.380485,0.409367,0.349432,0.382102,0.403567,0.394807,0.394669,0.399187,0.401673,0.372652,0.385219,0.410176,0.389895,0.407098,0.396603,0.410156,0.372889,0.386048,0.39682,0.398793,0.405816,0.405915,0.380366,0.405875,0.392243,0.394827,0.406645,0.380899,0.382497,0.401989,0.394196,0.405461,0.397155,0.39753,0.400982,0.402975,0.402344,0.391217,0.387094,0.37863,0.406447,0.40118,0.399325,0.393762,0.400312,0.395597,0.406191,0.389106,0.394334,0.40114,0.388159,0.39029,0.391552,0.410038,0.394985,0.404908,0.39023,0.370068,0.403212,0.401456,0.407138,0.405836,0.402186,0.403133,0.398852,0.415739,0.407947] average_cost 0 kappa -0.003787878787878788 kb_relative_information_score 4.116036469138173 mean_absolute_error 0.01980248343236493 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 0.00625 prior_entropy 6.6438561897747395 recall 0.00625 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.125,0,0,0,0,0,0,0,0,0,0,0,0,0.125,0.125,0.25] relative_absolute_error 1.000125425877015 root_mean_prior_squared_error 0.09949874371066209 root_mean_squared_error 0.09951206835786296 root_relative_squared_error 1.0001339177431188 total_cost 0 area_under_roc_curve 0.24319197317092586 [0.399371,0.341772,0.332278,0.383648,0.170886,0.361635,0.341772,0.383648,0.360759,0,0.341772,0.310127,0.177215,0.341772,0.341772,0.361635,0.357595,0.446203,0.629747,0.792453,0.006289,0.383648,0,0.383648,0.383648,0.379747,0.398734,0.183544,0.181962,0.402516,0,0.181962,0,0.009494,0.360759,0.012579,0,0,0,0.172468,0,0.399371,0,0,0.341772,0.183544,0.389937,0,0.341772,0.178797,0,0,0.386792,0.35443,0.383648,0.006289,0.357595,0,0.90566,0.185127,0,0,0.341772,0.170886,0.399371,0,0.177215,0.383648,0.399371,0.389937,0.348101,0,0.172468,0.170886,0.389937,0.341772,0.341772,0.329114,0.167722,0.174051,0,0.012658,0.374214,0,0.357595,0.158228,0.360759,0,0.341772,0.393082,0,0.367925,0.18038,0.332278,0.35443,0.18038,0.393082,0.344937,0.487342,0.389937] area_under_roc_curve 0.2595085980415572 [0.393082,0.174051,0.357595,0.396226,0.363924,0.41195,0.169304,0,0.291139,0,0.367089,0.348101,0,0.348101,0.363924,0,0.183544,0.481013,0.599684,0.430818,0.393082,0.41195,0,0.386792,0,0.493671,0.625,0.367089,0,0,0,0.344937,0,0.015823,0.332278,0,0.383648,0.006289,0.408805,0.329114,0.393082,0,0,0.357595,0.360759,0.175633,0.393082,0.389937,0.363924,0.003165,0,0.357595,0.396226,0.360759,0.402516,0.987421,0.348101,0,0,0.363924,0,0,0.18038,0.183544,0.377358,0.188291,0.34019,0,0,0.393082,0.181962,0,0,0.363924,0.386792,0.174051,0.18038,0.392405,0.181962,0.360759,0.183544,0.18038,0.41195,0.393082,0.18038,0.143987,0.357595,0.357595,0.357595,0.415094,0,0.389937,0.357595,0.294304,0.178797,0.344937,0.389937,0.186709,0.601266,0.380503] area_under_roc_curve 0.24702763016479573 [0.338608,0.351266,0.360759,0.339623,0.35443,0.35443,0.386792,0.35443,0.35443,0,0.360759,0.338608,0,0.35443,0.360759,0.35443,0.35443,0.189873,0.006289,0.579114,0.386792,0.393082,0.155063,0.374214,0.396226,0.487342,0.661392,0,0,0,0,0.344937,0.18038,0.496835,0.339623,0,0.006289,0.012579,0.393082,0.344937,0.172468,0.389937,0,0.380503,0.35443,0,0.338608,0.380503,0.360759,0.166139,0.18038,0.374214,0,0.156646,0.396226,0,0.396226,0,0.41195,0.357595,0.396226,0,0.360759,0.399371,0.35443,0,0.003165,0.18038,0.396226,0.35443,0.424051,0.006329,0.018868,0.360759,0.377358,0,0,0.177215,0.348101,0.338608,0.371069,0,0.344937,0,0,0.380503,0.396226,0,0.178797,0.380503,0,0.36478,0.396226,0.35443,0.338608,0,0.18038,0.175633,0,0.341772] area_under_roc_curve 0.23016492018947532 [0.351266,0.174051,0.332278,0.396226,0.329114,0.341772,0.396226,0,0.360759,0.183544,0.363924,0.310127,0,0.344937,0.357595,0.174051,0.181962,0.003165,0.383648,0.471519,0.383648,0.386792,0.003165,0.377358,0,0.018987,0.297468,0.393082,0.175633,0,0,0.363924,0,0.5,0.399371,0.006289,0.981132,0.408805,0,0.170886,0.174051,0.386792,0,0,0.351266,0,0.313291,0.355346,0.341772,0,0,0.399371,0.383648,0.367089,0.393082,0.012658,0.408805,0.172468,0,0.181962,0,0,0.359177,0,0.175633,0.332278,0,0.360759,0.36478,0.367089,0.337025,0.166139,0.006289,0.174051,0.393082,0.363924,0.329114,0.175633,0.357595,0.183544,0.399371,0.003165,0.178797,0.003165,0.383648,0,0.396226,0,0.344937,0.006289,0.170886,0.389937,0.383648,0.341772,0.181962,0,0.348101,0.170886,0.367925,0.297468] area_under_roc_curve 0.25819699864660445 [0.344937,0.393082,0,0.344937,0.393082,0.363924,0.393082,0.363924,0.380503,0.174051,0.357595,0.357595,0.003145,0.383648,0.393082,0.363924,0,0.009494,0.77673,0.193038,0.175633,0.178797,0.175633,0.348101,0.181962,0.006329,0.832278,0.393082,0.374214,0.174051,0,0.393082,0.006329,0.015823,0.380503,0,0,0.427215,0.185127,0.175633,0.386076,0.357595,0.380503,0.393082,0.393082,0.380503,0.357595,0.175633,0.344937,0,0.393082,0.389937,0.351266,0.393082,0.376582,0.443038,0.399371,0.178797,0.006329,0.399371,0.170886,0,0.393082,0.389937,0.363924,0.344937,0,0.357595,0.357595,0.181962,0.003165,0.174051,0,0.393082,0.363924,0.358491,0.18038,0.416139,0.169304,0.393082,0,0.006329,0.18038,0.468354,0.393082,0.399371,0.393082,0.393082,0.335443,0,0.012579,0.185127,0.393082,0.393082,0.332278,0.374214,0.344937,0,0.421384,0.344937] area_under_roc_curve 0.2822664148953108 [0.351266,0.399371,0.363924,0.363924,0.377358,0.35443,0.396226,0.175633,0.254717,0.170886,0.351266,0.338608,0.402516,0.393082,0.396226,0.341772,0.35443,0.003165,0,0.599684,0.177215,0.351266,0.177215,0.351266,0.15981,0.018987,0.626582,0.396226,0,0,0,0.399371,0,0.446203,0.308176,0.496835,0.493671,0.449367,0,0.35443,0.329114,0.177215,0.396226,0,0.399371,0.342767,0.341772,0.177215,0.35443,0.167722,0,0,0.363924,0.355346,0.367089,0.512658,0.399371,0.35443,0.003165,0.386792,0,0.367089,0.811321,0,0.335443,0.363924,0.006289,0.341772,0.322785,0.310127,0.370253,0.181962,0,0.396226,0.15981,0.393082,0.167722,0.012658,0.287975,0.386792,0.006289,0.533228,0.185127,0.471519,0.399371,0,0.374214,0,0.341772,0.183544,0,0.341772,0,0.396226,0.367089,0.374214,0.18038,0.371069,0.886792,0.332278] area_under_roc_curve 0.23672042930499165 [0.329114,0.418239,0.418239,0.351266,0.418239,0.363924,0.344937,0.363924,0.415094,0.169304,0.386792,0.418239,0.172468,0.396226,0.41195,0.367089,0,0.025157,0.452532,0.19462,0.196203,0.335443,0.003165,0.341772,0.166139,0.443396,0.421384,0.338608,0.386792,0,0.148734,0.415094,0,0.006289,0.351266,0,0.452532,0.009494,0.178797,0.421384,0.370253,0.363924,0,0,0.415094,0.183544,0.181962,0.181962,0.41195,0,0.421384,0.172468,0.18038,0.41195,0.131329,0,0.143987,0.357595,0.441456,0.41195,0.006329,0.322785,0.006289,0.363924,0.181962,0.871069,0.009434,0.174051,0.175633,0.363924,0,0.14557,0.003165,0.415094,0.175633,0.424528,0.345912,0,0.314465,0.415094,0.125,0.418239,0.174051,0,0,0,0.310127,0.415094,0.41195,0,0,0.175633,0.360759,0.36478,0.424528,0.294304,0.348101,0.396226,0.191456,0.351266] area_under_roc_curve 0.22140417263752887 [0.348101,0.361635,0.389937,0.329114,0.386792,0.348101,0.348101,0.294304,0.345912,0,0.386792,0.389937,0.166139,0.389937,0.386792,0.348101,0.389937,0.861635,0.363924,0.174051,0.56962,0.175633,0.003165,0.351266,0.169304,0.006289,0,0.348101,0.386792,0.177215,0,0.36478,0,0,0.341772,0,0.006329,0.46519,0.172468,0,0,0,0,0,0.342767,0,0.351266,0.351266,0.386792,0,0.371069,0.175633,0.338608,0,0.348101,0.003165,0.174051,0,0.181962,0.386792,0,0,0,0.174051,0.351266,0.361635,0.393082,0.175633,0.177215,0.306962,0.006289,0,0,0.386792,0.172468,0,0,0.795597,0.333333,0.361635,0.155063,0.377358,0.348101,0,0,0.341772,0.348101,0.371069,0.345912,0.151899,0,0.351266,0.35443,0.374214,0.371069,0.348101,0.174051,0.389937,0.375,0.281646] area_under_roc_curve 0.24035494287875164 [0.383648,0,0,0.325949,0.275316,0.380503,0.357595,0.383648,0.335443,0,0.383648,0.383648,0.18038,0.357595,0.357595,0.383648,0,0.006289,0.188291,0.987421,0.183544,0.357595,0.393082,0.357595,0.357595,0.006289,0.408805,0.18038,0.178797,0,0,0.325949,0.371069,0,0.35443,0,0,0.870253,0.357595,0.393082,0.383648,0.357595,0,0.158228,0.341772,0.183544,0.380503,0.18038,0.383648,0.380503,0.178797,0.183544,0.178797,0.363924,0.178797,0,0.35443,0.393082,0.183544,0.357595,0.181962,0,0,0.335443,0.367925,0,0.656646,0.389937,0.338608,0,0,0.380503,0.19462,0.357595,0.158228,0.178797,0,0,0.358491,0.35443,0.178797,0,0.386792,0,0,0,0.357595,0.357595,0,0,0.006329,0.357595,0,0.178797,0.389937,0.357595,0.383648,0.170886,0.490506,0.383648] area_under_roc_curve 0.2879510488814586 [0.415094,0.367089,0.377358,0.376582,0.188291,0.383648,0.373418,0.383648,0.373418,0.402516,0.402516,0.402516,0,0.376582,0.357595,0.41195,0.402516,0.018868,0.879747,0.915094,0.188291,0.188291,0.377358,0.18038,0.189873,0,0.798742,0.183544,0.351266,0,0,0.376582,0.40566,0.006289,0.376582,0,0,0.433544,0.376582,0.377358,0.402516,0.376582,0,0,0.360759,0.189873,0.377358,0.185127,0.377358,0.377358,0,0.360759,0,0.367089,0.376582,0.012579,0.376582,0.41195,0.199367,0.363924,0,0,0.382911,0,0.377358,0,0.487342,0.377358,0.373418,0,0.402516,0.377358,0,0.376582,0.376582,0.370253,0.40566,0.396226,0.402516,0.376582,0.189873,0.968553,0.402516,0.006289,0.191456,0.376582,0.376582,0.376582,0.377358,0.370253,0,0.188291,0.376582,0.376582,0.389937,0.376582,0.367925,0.376582,0.373418,0.40566] 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 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kb_relative_information_score 0.39424731730251206 kb_relative_information_score 0.3942541425189512 kb_relative_information_score 0.4228440166988324 kb_relative_information_score 0.42279676888424256 kb_relative_information_score 0.43750341634980544 kb_relative_information_score 0.4374984443912522 kb_relative_information_score 0.40933281485256706 kb_relative_information_score 0.4092593415997709 kb_relative_information_score 0.3932448494881949 kb_relative_information_score 0.3950553570520418 mean_absolute_error 0.019802372837595554 mean_absolute_error 0.01980237283761445 mean_absolute_error 0.019802558052409432 mean_absolute_error 0.01980254880473397 mean_absolute_error 0.0198026408543344 mean_absolute_error 0.01980264065905095 mean_absolute_error 0.019802466683180323 mean_absolute_error 0.01980246691630055 mean_absolute_error 0.019802388232657706 mean_absolute_error 0.01980237844577152 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 0.00625 predictive_accuracy 0.00625 predictive_accuracy 0.00625 predictive_accuracy 0.00625 predictive_accuracy 0.00625 predictive_accuracy 0.00625 predictive_accuracy 0.00625 predictive_accuracy 0.00625 predictive_accuracy 0.00625 predictive_accuracy 0.00625 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 0.00625 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1] recall 0.00625 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1] recall 0.00625 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0] recall 0.00625 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0] recall 0.00625 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.00625 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.00625 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0] recall 0.00625 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0] recall 0.00625 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1] recall 0.00625 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1] relative_absolute_error 1.0001198402826021 relative_absolute_error 1.0001198402835563 relative_absolute_error 1.0001291945661313 relative_absolute_error 1.0001287275118151 relative_absolute_error 1.0001333764815339 relative_absolute_error 1.000133366618733 relative_absolute_error 1.0001245799586005 relative_absolute_error 1.0001245917323494 relative_absolute_error 1.0001206178109936 relative_absolute_error 1.0001201235238124 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 0.09951143526998799 root_mean_squared_error 0.09951143528381748 root_mean_squared_error 0.0995124796446998 root_mean_squared_error 0.09951243290527488 root_mean_squared_error 0.09951297201474014 root_mean_squared_error 0.09951297101411724 root_mean_squared_error 0.09951197705696874 root_mean_squared_error 0.0995119781945702 root_mean_squared_error 0.09951152553180082 root_mean_squared_error 0.09951147664558815 root_relative_squared_error 1.0001275549705715 root_relative_squared_error 1.0001275551095632 root_relative_squared_error 1.0001380513313582 root_relative_squared_error 1.0001375815824634 root_relative_squared_error 1.0001429998364548 root_relative_squared_error 1.0001429897798162 root_relative_squared_error 1.0001330001346063 root_relative_squared_error 1.0001330115679312 root_relative_squared_error 1.0001284621359234 root_relative_squared_error 1.0001279708109996 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 3469.198293000318 usercpu_time_millis 3389.3243729999085 usercpu_time_millis 3240.55621000025 usercpu_time_millis 3197.7906209999674 usercpu_time_millis 3583.8797680003154 usercpu_time_millis 3289.824299000429 usercpu_time_millis 3247.9607740001484 usercpu_time_millis 3290.592947999812 usercpu_time_millis 3229.8199869997006 usercpu_time_millis 3269.2760019999696 usercpu_time_millis_testing 149.80767099996228 usercpu_time_millis_testing 165.53377399986857 usercpu_time_millis_testing 146.5466889999334 usercpu_time_millis_testing 145.14860600002066 usercpu_time_millis_testing 146.87616200035336 usercpu_time_millis_testing 146.8050690000382 usercpu_time_millis_testing 141.51893500002188 usercpu_time_millis_testing 151.47114299998066 usercpu_time_millis_testing 139.65078899991568 usercpu_time_millis_testing 142.38660299997719 usercpu_time_millis_training 3319.3906220003555 usercpu_time_millis_training 3223.79059900004 usercpu_time_millis_training 3094.0095210003165 usercpu_time_millis_training 3052.6420149999467 usercpu_time_millis_training 3437.003605999962 usercpu_time_millis_training 3143.019230000391 usercpu_time_millis_training 3106.4418390001265 usercpu_time_millis_training 3139.1218049998315 usercpu_time_millis_training 3090.169197999785 usercpu_time_millis_training 3126.8893989999924