4058790 1 Jan van Rijn 9954 Supervised Classification 6840 sklearn.pipeline.Pipeline(imputation=sklearn.preprocessing.imputation.Imputer,classifier=sklearn.tree.tree.DecisionTreeClassifier)(1) 2095430 axis 0 6758 copy true 6758 missing_values "NaN" 6758 strategy "most_frequent" 6758 verbose 0 6758 class_weight null 6841 criterion "gini" 6841 max_depth 1.9417678817269615 6841 max_features 1.0 6841 max_leaf_nodes null 6841 min_impurity_split 1e-07 6841 min_samples_leaf 16 6841 min_samples_split 4 6841 min_weight_fraction_leaf 0.0 6841 presort false 6841 random_state 7206 6841 splitter "best" 6841 openml-pimp openml-python Sklearn_0.18.1. 1491 one-hundred-plants-margin https://www.openml.org/data/download/1592283/phpCsX3fx -1 9089294 description https://api.openml.org/data/download/9089294/description.xml -1 9089299 predictions https://api.openml.org/data/download/9089299/predictions.arff area_under_roc_curve 0.452417 [0.434659,0.437145,0.436869,0.434659,0.437145,0.434659,0.434265,0.434659,0.437145,0.781566,0.436869,0.436869,0.434265,0.437145,0.437145,0.434659,0.436869,0.436869,0.434265,0.434659,0.434659,0.434659,0.434659,0.434659,0.434659,0.436869,0.436869,0.434265,0.437145,0.434659,0.434265,0.400588,0.436869,0.436869,0.434265,0.434659,0.434659,0.434659,0.434659,0.436869,0.434659,0.434659,0.434265,0.434265,0.437145,0.434265,0.434659,0.434659,0.436869,0.436869,0.437145,0.434265,0.434659,0.437145,0.434659,0.434659,0.782276,0.434659,0.586293,0.437145,0.434659,0.434659,0.607599,0.434265,0.434659,0.436869,0.437145,0.5189,0.434659,0.434659,0.436869,0.645833,0.410215,0.437145,0.434659,0.437145,0.436869,0.436869,0.436869,0.494831,0.434265,0.607323,0.434659,0.645833,0.434265,0.434265,0.434265,0.437145,0.436869,0.434659,0.437145,0.433278,0.434265,0.437145,0.436869,0.434265,0.434659,0.437145,0.434265,0.434659] average_cost 0 f_measure 0.009064 [0.012308,0.012559,0,0.011976,0,0,0,0,0,0.363636,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.380952,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.125,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] kappa 0.002525 kb_relative_information_score 24.258101 mean_absolute_error 0.019673 mean_prior_absolute_error 0.0198 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] precision 0.016107 [0.006309,0.006441,0,0.006289,0,0,0,0,0,0.666667,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.125,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] predictive_accuracy 0.0125 prior_entropy 6.643856 recall 0.0125 [0.25,0.25,0,0.125,0,0,0,0,0,0.25,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.25,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.125,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] relative_absolute_error 0.993583 root_mean_prior_squared_error 0.099499 root_mean_squared_error 0.099252 root_relative_squared_error 0.997521 total_cost 0 area_under_roc_curve 0.512368 [0.509434,0.509494,0.509494,0.509434,0.509494,0.509434,0.509494,0.509434,0.509494,0.993711,0.509494,0.509494,0.509494,0.509494,0.509494,0.509434,0.509494,0.509494,0.509494,0.509434,0.509434,0.509434,0.509434,0.509434,0.509434,0.509494,0.509494,0.509494,0.509494,0.509434,0.509494,0.509494,0.509494,0.509494,0.509494,0.509434,0.509434,0.509434,0.509434,0.509494,0.509434,0.509434,0.509494,0.509494,0.509494,0.509494,0.509434,0.509434,0.509494,0.509494,0.509494,0.509494,0.509434,0.509494,0.509434,0.509434,0.509494,0.509434,0.509434,0.509494,0.509434,0.509434,0.509494,0.509494,0.509434,0.509494,0.509494,0.993711,0.509434,0.509434,0.509494,0.509434,0.256329,0.509494,0.509434,0.509494,0.509494,0.509494,0.509494,0.509494,0.509494,0.509494,0.509434,0.509434,0.509494,0.509494,0.509494,0.509494,0.509494,0.509434,0.509494,0.509434,0.509494,0.509494,0.509494,0.509494,0.509434,0.509494,0.509494,0.509434] area_under_roc_curve 0.506186 [0.503145,0.503165,0.503165,0.503145,0.503165,0.503145,0.503165,0.503145,0.503165,1,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503165,0.503165,0.503145,0.503145,0.503145,0.503145,0.503145,0.503145,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503145,0.503145,0.503145,0.503165,0.503145,0.503145,0.503165,0.503165,0.503165,0.503165,0.503145,0.503145,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503145,0.503145,0.503165,0.503145,0.503145,0.503165,0.503145,0.503145,0.503165,0.503165,0.503145,0.503165,0.503165,0.503145,0.503145,0.503145,0.503165,0.503145,0.496835,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503165,0.503145] area_under_roc_curve 0.506186 [0.503165,0.503165,0.503165,0.503145,0.503165,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503145,0.503145,0.503165,0.503145,0.503145,0.503165,0.503165,0.503145,0.503165,0.503165,0.503145,0.496835,0.503165,0.503165,0.503145,0.503145,0.503145,0.503145,0.503145,0.503165,0.503165,0.503145,0.503145,0.503145,0.503165,0.503145,0.503165,0.503145,0.503165,0.503165,0.503165,0.503145,0.503145,0.503165,0.503145,0.503165,1,0.503165,0.503145,0.503165,0.503145,0.503145,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503165,0.503165,0.503145,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503165,0.503165,0.503145,0.503145,0.503145,0.503165,0.503165,0.503145,0.503165,0.503145,0.503145,0.503165,0.503165,0.503145,0.503165,0.503165,0.503145,0.503165] area_under_roc_curve 0.506186 [0.503165,0.503165,0.503165,0.503145,0.503165,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503145,0.503145,0.503165,0.503145,0.503145,0.503165,0.503165,0.503145,0.503165,0.503165,0.503145,0.496835,0.503165,0.503165,0.503145,0.503145,0.503145,0.503145,0.503145,0.503165,0.503165,0.503145,0.503145,0.503145,0.503165,0.503145,0.503165,0.503145,0.503165,0.503165,0.503165,0.503145,0.503145,0.503165,0.503145,0.503165,1,0.503165,0.503145,0.503165,0.503145,0.503145,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503165,0.503165,0.503145,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503165,0.503165,0.503145,0.503145,0.503145,0.503165,0.503165,0.503145,0.503165,0.503145,0.503145,0.503165,0.503165,0.503145,0.503165,0.503165,0.503145,0.503165] area_under_roc_curve 0.506082 [0.506329,0.506289,0.506329,0.506329,0.506289,0.506329,0.506289,0.506329,0.506289,0.506329,0.506329,0.506329,0.506289,0.506289,0.506289,0.506329,0.506329,0.506329,0.506289,0.506329,0.506329,0.506329,0.506329,0.506329,0.506329,0.506329,0.506329,0.506289,0.506289,0.506329,0.506289,0.003145,0.506329,0.506329,0.506289,0.506329,0.506329,0.506329,0.506329,0.506329,0.506329,0.506329,0.506289,0.506289,0.506289,0.506289,0.506329,0.506329,0.506329,0.506329,0.506289,0.506289,0.506329,0.506289,0.506329,0.506329,0.996855,0.506329,0.506329,0.506289,0.506329,0.506329,0.506289,0.506289,0.506329,0.506329,0.506289,0.506329,0.506329,0.506329,0.506329,0.506329,0.506289,0.506289,0.506329,0.506289,0.506329,0.506329,0.506329,0.506289,0.506289,0.506329,0.506329,0.506329,0.506289,0.506289,0.506289,0.506289,0.506329,0.506329,0.506289,0.493671,0.506289,0.506289,0.506329,0.506289,0.506329,0.506289,0.506289,0.506329] area_under_roc_curve 0.506226 [0.503165,0.503145,0.503165,0.503165,0.503145,0.503165,0.503145,0.503165,0.503145,0.503165,0.503165,0.503165,0.503145,0.503145,0.503145,0.503165,0.503165,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503145,0.503165,0.503145,0.496855,0.503165,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503145,0.503145,0.503145,0.503165,0.503165,0.503165,0.503165,0.503145,0.503145,0.503165,0.503145,0.503165,0.503165,1,0.503165,0.503165,0.503145,0.503165,0.503165,0.503145,0.503145,0.503165,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503145,0.503165,0.503145,0.503165,0.503165,0.503165,0.503145,0.503145,0.503165,0.503165,0.503165,0.503145,0.503145,0.503145,0.503145,0.503165,0.503165,0.503145,0.503165,0.503145,0.503145,0.503165,0.503145,0.503165,0.503145,0.503145,0.503165] area_under_roc_curve 0.547078 [0.525316,0.525157,0.525157,0.525316,0.525157,0.525316,0.525316,0.525316,0.525157,0.525316,0.525157,0.525157,0.525316,0.525157,0.525157,0.525316,0.525157,0.525157,0.525316,0.525316,0.525316,0.525316,0.525316,0.525316,0.525316,0.525157,0.525157,0.525316,0.525157,0.525316,0.525316,0.525157,0.525157,0.525157,0.525316,0.525316,0.525316,0.525316,0.525316,0.525157,0.525316,0.525316,0.525316,0.525316,0.525157,0.525316,0.525316,0.525316,0.525157,0.525157,0.525157,0.525316,0.525316,0.525157,0.525316,0.525316,0.525316,0.525316,0.981013,0.525157,0.525316,0.525316,0.977987,0.525316,0.525316,0.525157,0.525157,0.474684,0.525316,0.525316,0.525157,0.981013,0.525316,0.525157,0.525316,0.525157,0.525157,0.525157,0.525157,0.474843,0.525316,0.977987,0.525316,0.981013,0.525316,0.525316,0.525316,0.525157,0.525157,0.525316,0.525157,0.525316,0.525316,0.525157,0.525157,0.525316,0.525316,0.525157,0.525316,0.525316] area_under_roc_curve 0.547078 [0.525316,0.525157,0.525157,0.525316,0.525157,0.525316,0.525316,0.525316,0.525157,0.525316,0.525157,0.525157,0.525316,0.525157,0.525157,0.525316,0.525157,0.525157,0.525316,0.525316,0.525316,0.525316,0.525316,0.525316,0.525316,0.525157,0.525157,0.525316,0.525157,0.525316,0.525316,0.525157,0.525157,0.525157,0.525316,0.525316,0.525316,0.525316,0.525316,0.525157,0.525316,0.525316,0.525316,0.525316,0.525157,0.525316,0.525316,0.525316,0.525157,0.525157,0.525157,0.525316,0.525316,0.525157,0.525316,0.525316,0.525316,0.525316,0.727848,0.525157,0.525316,0.525316,0.977987,0.525316,0.525316,0.525157,0.525157,0.727848,0.525316,0.525316,0.525157,0.981013,0.525316,0.525157,0.525316,0.525157,0.525157,0.525157,0.525157,0.474843,0.525316,0.977987,0.525316,0.981013,0.525316,0.525316,0.525316,0.525157,0.525157,0.525316,0.525157,0.525316,0.525316,0.525157,0.525157,0.525316,0.525316,0.525157,0.525316,0.525316] area_under_roc_curve 0.506186 [0.503145,0.503165,0.503145,0.503165,0.503165,0.503145,0.503165,0.503145,0.503165,1,0.503145,0.503145,0.503165,0.503165,0.503165,0.503145,0.503145,0.503145,0.503165,0.503145,0.503165,0.503165,0.503145,0.503165,0.503165,0.503145,0.503145,0.503165,0.503165,0.503145,0.503165,0.503165,0.503145,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503145,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503145,0.503165,0.503145,0.503165,0.503145,0.503145,0.503145,0.496835,0.503165,0.503165,0.503165,0.503145,0.503145,0.503145,0.503165,0.503165,0.503145,0.503145,0.503145,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503145,0.503165,0.503165,0.503145] area_under_roc_curve 0.506186 [0.503145,0.503165,0.503145,0.503165,0.503165,0.503145,0.503165,0.503145,0.503165,1,0.503145,0.503145,0.503165,0.503165,0.503165,0.503145,0.503145,0.503145,0.503165,0.503145,0.503165,0.503165,0.503145,0.503165,0.503165,0.503145,0.503145,0.503165,0.503165,0.503145,0.503165,0.503165,0.503145,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503145,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503145,0.503165,0.503145,0.503165,0.503145,0.503145,0.503145,0.496835,0.503165,0.503165,0.503165,0.503145,0.503145,0.503145,0.503165,0.503165,0.503145,0.503145,0.503145,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503165,0.503165,0.503165,0.503165,0.503145,0.503165,0.503145,0.503165,0.503165,0.503145] 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 f_measure 0.003204 [0.012658,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.006328 [0.0125,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.006328 [0,0,0,0.0125,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.006328 [0,0,0,0.0125,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.004245 [0,0.012579,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.666667,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.006328 [0,0.0125,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.001471 [0,0.013072,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.222222,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.001471 [0,0.013072,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.222222,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.006328 [0.0125,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.006328 [0.0125,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] kappa 0.006289 kappa 0.006289 kappa 0.006289 kappa 0.006289 kappa 0.006289 kappa 0.006289 kappa 0.006289 kappa 0.006289 kappa 0.006289 kappa 0.006289 kb_relative_information_score 1.806389 kb_relative_information_score 1.421577 kb_relative_information_score 1.421577 kb_relative_information_score 1.421577 kb_relative_information_score 1.408104 kb_relative_information_score 1.410557 kb_relative_information_score 6.405048 kb_relative_information_score 6.120121 kb_relative_information_score 1.421577 kb_relative_information_score 1.421577 mean_absolute_error 0.019679 mean_absolute_error 0.019684 mean_absolute_error 0.019684 mean_absolute_error 0.019684 mean_absolute_error 0.019685 mean_absolute_error 0.019684 mean_absolute_error 0.019623 mean_absolute_error 0.019637 mean_absolute_error 0.019684 mean_absolute_error 0.019684 mean_prior_absolute_error 0.0198 mean_prior_absolute_error 0.0198 mean_prior_absolute_error 0.0198 mean_prior_absolute_error 0.0198 mean_prior_absolute_error 0.0198 mean_prior_absolute_error 0.0198 mean_prior_absolute_error 0.0198 mean_prior_absolute_error 0.0198 mean_prior_absolute_error 0.0198 mean_prior_absolute_error 0.0198 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] precision 0.002123 [0.006369,0,0,0,0,0,0,0,0,0.333333,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.006289 [0.006289,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.006289 [0,0,0,0.006289,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.006289 [0,0,0,0.006289,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.003165 [0,0.006329,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.006289 [0,0.006289,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.000822 [0,0.006579,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.125,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.000822 [0,0.006579,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.125,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.006289 [0.006289,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.006289 [0.006289,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] predictive_accuracy 0.0125 predictive_accuracy 0.0125 predictive_accuracy 0.0125 predictive_accuracy 0.0125 predictive_accuracy 0.0125 predictive_accuracy 0.0125 predictive_accuracy 0.0125 predictive_accuracy 0.0125 predictive_accuracy 0.0125 predictive_accuracy 0.0125 prior_entropy 6.643856 prior_entropy 6.643856 prior_entropy 6.643856 prior_entropy 6.643856 prior_entropy 6.643856 prior_entropy 6.643856 prior_entropy 6.643856 prior_entropy 6.643856 prior_entropy 6.643856 prior_entropy 6.643856 recall 0.0125 [1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.0125 [1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.0125 [0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.0125 [0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.0125 [0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.0125 [0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.0125 [0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.0125 [0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.0125 [1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.0125 [1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] relative_absolute_error 0.993875 relative_absolute_error 0.99415 relative_absolute_error 0.99415 relative_absolute_error 0.99415 relative_absolute_error 0.994216 relative_absolute_error 0.994145 relative_absolute_error 0.991072 relative_absolute_error 0.991774 relative_absolute_error 0.99415 relative_absolute_error 0.99415 root_mean_prior_squared_error 0.099499 root_mean_prior_squared_error 0.099499 root_mean_prior_squared_error 0.099499 root_mean_prior_squared_error 0.099499 root_mean_prior_squared_error 0.099499 root_mean_prior_squared_error 0.099499 root_mean_prior_squared_error 0.099499 root_mean_prior_squared_error 0.099499 root_mean_prior_squared_error 0.099499 root_mean_prior_squared_error 0.099499 root_mean_squared_error 0.099717 root_mean_squared_error 0.099196 root_mean_squared_error 0.099196 root_mean_squared_error 0.099196 root_mean_squared_error 0.099477 root_mean_squared_error 0.099195 root_mean_squared_error 0.099036 root_mean_squared_error 0.099114 root_mean_squared_error 0.099196 root_mean_squared_error 0.099196 root_relative_squared_error 1.002193 root_relative_squared_error 0.996957 root_relative_squared_error 0.996957 root_relative_squared_error 0.996957 root_relative_squared_error 0.999783 root_relative_squared_error 0.996952 root_relative_squared_error 0.995346 root_relative_squared_error 0.996134 root_relative_squared_error 0.996957 root_relative_squared_error 0.996957 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 131.0501930000001 usercpu_time_millis 133.88365500000177 usercpu_time_millis 129.29306799999907 usercpu_time_millis 134.25050399999705 usercpu_time_millis 130.4812040000023 usercpu_time_millis 130.98929399999548 usercpu_time_millis 131.0328940000005 usercpu_time_millis 147.03608700000004 usercpu_time_millis 139.63409899999846 usercpu_time_millis 132.12842500000122 usercpu_time_millis_testing 0.881468999999413 usercpu_time_millis_testing 0.8714800000007017 usercpu_time_millis_testing 0.8691519999999286 usercpu_time_millis_testing 0.8724299999975926 usercpu_time_millis_testing 0.8595430000006843 usercpu_time_millis_testing 0.9044119999970235 usercpu_time_millis_testing 0.9275809999991225 usercpu_time_millis_testing 0.9694140000000573 usercpu_time_millis_testing 0.8812009999985548 usercpu_time_millis_testing 0.8883960000005686 usercpu_time_millis_training 130.16872400000068 usercpu_time_millis_training 133.01217500000106 usercpu_time_millis_training 128.42391599999914 usercpu_time_millis_training 133.37807399999946 usercpu_time_millis_training 129.6216610000016 usercpu_time_millis_training 130.08488199999846 usercpu_time_millis_training 130.1053130000014 usercpu_time_millis_training 146.06667299999998 usercpu_time_millis_training 138.7528979999999 usercpu_time_millis_training 131.24002900000065