5962112 1 Jan van Rijn 9954 Supervised Classification 6970 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier))(1) 3996852 class_weight null 6941 criterion "gini" 6941 max_depth 1 6941 max_features null 6941 max_leaf_nodes null 6941 min_impurity_split 1e-07 6941 min_samples_leaf 1 6941 min_samples_split 2 6941 min_weight_fraction_leaf 0.0 6941 presort false 6941 random_state 2872 6941 splitter "best" 6941 axis 0 6947 categorical_features [] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "mean" 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 algorithm "SAMME.R" 6971 learning_rate 1.2292876888832796 6971 n_estimators 225 6971 random_state 56290 6971 openml-pimp openml-python Sklearn_0.18.1. study_71 1491 one-hundred-plants-margin https://www.openml.org/data/download/1592283/phpCsX3fx -1 12847633 description https://api.openml.org/data/download/12847633/description.xml -1 12847634 predictions https://api.openml.org/data/download/12847634/predictions.arff area_under_roc_curve 0.5627462121212125 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mean_absolute_error 0.019781312737516855 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 0.035625 prior_entropy 6.6438561897747395 recall 0.035625 [0.25,0.25,0,0.1875,0,0,0,0,0,0.5625,0,0,0,0,0.125,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.0625,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.0625,0.125,0,0,0,0.125,0,0,0,0,0.8125,0,0.625,0,0,0,0.375,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] relative_absolute_error 0.9990561988644859 root_mean_prior_squared_error 0.09949874371066209 root_mean_squared_error 0.09945901592387531 root_relative_squared_error 0.9996007207196272 total_cost 0 area_under_roc_curve 0.5591310654008445 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[0.672956,0.898734,0.402516,0.925633,0.420886,0.896226,0.898734,0.871069,0.898734,1,0.896226,0.896226,0.898734,0.65981,0.993671,0.421384,0.672956,0.672956,0.674051,0.672956,0.674051,0.647152,0.672956,0.898734,0.674051,0.672956,0.672956,0.674051,0.674051,0.647799,0.674051,0.661392,0.672956,0.672956,0.674051,0.674051,0.674051,0.674051,0.992089,0.672956,0.672956,0.674051,0.821203,0.674051,0.922468,0.674051,0.996855,0.898734,0.672956,0.672956,0.674051,0.993671,0.821203,0.674051,0.674051,0.672956,1,0.147799,0.987342,0.674051,0.674051,0.674051,0.675633,0.674051,0.672956,0.672956,0.674051,0.628931,0.674051,0.672956,0.672956,0.984277,0.667722,0.420886,0.65981,0.674051,0.672956,0.672956,0.672956,0.670886,0.648734,0.977987,0.672956,0.984277,0.674051,0.65981,0.40981,0.674051,0.672956,0.898734,0.674051,0.898734,0.674051,0.898734,0.421384,0.898734,0.377358,0.879747,0.674051,0.672956] 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 0.025042261272948854 kappa 0.024812237033541743 kappa 0.018597884638068652 kappa 0.02492726271919478 kappa 0.02500393143576034 kappa 0.031065670467951237 kappa 0.018597884638068652 kappa 0.024850581944007553 kappa 0.018559295375904377 kappa 0.07995273729814886 kb_relative_information_score 2.658325726961798 kb_relative_information_score 2.8834795037016114 kb_relative_information_score 2.8825928208823366 kb_relative_information_score 2.946818125673998 kb_relative_information_score 3.0071870312686686 kb_relative_information_score 3.018517097188534 kb_relative_information_score 2.782565328044001 kb_relative_information_score 2.791129154902196 kb_relative_information_score 2.5508676359861737 kb_relative_information_score 4.409211164023914 mean_absolute_error 0.01978279370254841 mean_absolute_error 0.01978215771127364 mean_absolute_error 0.019780998652174992 mean_absolute_error 0.019780593578278112 mean_absolute_error 0.019780073107264297 mean_absolute_error 0.01978315616318201 mean_absolute_error 0.019783035604638923 mean_absolute_error 0.01978176649134552 mean_absolute_error 0.0197844152954489 mean_absolute_error 0.019774137069015596 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 0.03125 predictive_accuracy 0.03125 predictive_accuracy 0.025 predictive_accuracy 0.03125 predictive_accuracy 0.03125 predictive_accuracy 0.0375 predictive_accuracy 0.025 predictive_accuracy 0.03125 predictive_accuracy 0.025 predictive_accuracy 0.0875 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 0.03125 [1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.03125 [1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.025 [0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.03125 [0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.03125 [0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.0375 [0,1,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.025 [0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.03125 [0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0.5,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.025 [1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.0875 [1,0,0,0.5,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] relative_absolute_error 0.9991309950782009 relative_absolute_error 0.9990988743067477 relative_absolute_error 0.9990403359684323 relative_absolute_error 0.999019877690812 relative_absolute_error 0.998993591275973 relative_absolute_error 0.9991493011708069 relative_absolute_error 0.9991432123554995 relative_absolute_error 0.9990791157245195 relative_absolute_error 0.9992128937095387 relative_absolute_error 0.9986937913644224 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 0.09943453214697043 root_mean_squared_error 0.09943646203598967 root_mean_squared_error 0.09942558193539672 root_mean_squared_error 0.09942579099105028 root_mean_squared_error 0.09942096858731977 root_mean_squared_error 0.09973688628502202 root_mean_squared_error 0.09943587417233793 root_mean_squared_error 0.0994294138682898 root_mean_squared_error 0.09944275669608901 root_mean_squared_error 0.09940145526071884 root_relative_squared_error 0.9993546495031298 root_relative_squared_error 0.9993740456175659 root_relative_squared_error 0.9992646964922683 root_relative_squared_error 0.9992667975806416 root_relative_squared_error 0.9992183305995455 root_relative_squared_error 1.0023934229265494 root_relative_squared_error 0.9993681373655636 root_relative_squared_error 0.9993032088668992 root_relative_squared_error 0.9994373093319062 root_relative_squared_error 0.9990222142881912 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 2070.5030449999995 usercpu_time_millis 2081.1438540000004 usercpu_time_millis 2072.8673739999995 usercpu_time_millis 2078.6030349999987 usercpu_time_millis 2087.798728999999 usercpu_time_millis 2091.4766899999986 usercpu_time_millis 2082.881685000004 usercpu_time_millis 2090.4187259999994 usercpu_time_millis 2100.1237070000016 usercpu_time_millis 2099.8689919999974 usercpu_time_millis_testing 218.20539099999968 usercpu_time_millis_testing 218.53903600000012 usercpu_time_millis_testing 219.83492199999864 usercpu_time_millis_testing 219.2232969999992 usercpu_time_millis_testing 219.91888699999862 usercpu_time_millis_testing 219.66646999999995 usercpu_time_millis_testing 220.8739520000016 usercpu_time_millis_testing 219.4446009999993 usercpu_time_millis_testing 221.19069100000033 usercpu_time_millis_testing 220.82318799999712 usercpu_time_millis_training 1852.297654 usercpu_time_millis_training 1862.6048180000003 usercpu_time_millis_training 1853.0324520000008 usercpu_time_millis_training 1859.3797379999994 usercpu_time_millis_training 1867.8798420000007 usercpu_time_millis_training 1871.8102199999987 usercpu_time_millis_training 1862.0077330000022 usercpu_time_millis_training 1870.974125 usercpu_time_millis_training 1878.9330160000013 usercpu_time_millis_training 1879.0458040000003