5957304 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) 3992045 class_weight null 6941 criterion "gini" 6941 max_depth 2 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 26028 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 0.013567905059173263 6971 n_estimators 317 6971 random_state 29192 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 12838042 description https://api.openml.org/data/download/12838042/description.xml -1 12838041 predictions https://api.openml.org/data/download/12838041/predictions.arff area_under_roc_curve 0.9791804766414143 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0.014821278163433642 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 0.49 prior_entropy 6.6438561897747395 recall 0.49 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[0.886792,0.996835,0.993711,1,1,1,1,0.874214,0.984177,1,1,1,0.962025,0.914557,1,1,1,0.959119,0.960443,0.933962,0.97943,1,0.987421,1,0.996835,0.993711,0.918239,0.990506,1,0.981132,1,1,1,0.959119,0.990506,0.958861,0.974684,0.916139,0.981013,1,1,0.996835,1,0.984177,1,1,1,0.968354,1,1,0.993671,0.993671,0.996835,0.952532,1,0.930818,1,1,1,0.984177,1,0.990506,0.990506,1,1,0.987421,0.968354,1,1,1,0.968553,1,0.962025,1,0.987342,1,1,1,0.993711,1,0.996835,0.974843,0.962264,1,0.987342,0.996835,1,1,1,0.993671,0.996835,1,1,0.952532,1,0.993671,0.943396,1,1,1] 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 0.4944707740916272 kappa 0.5136394141565671 kappa 0.5138313405153704 kappa 0.48220064724919093 kappa 0.41937519722309874 kappa 0.42591278290355655 kappa 0.48248658882928364 kappa 0.5078282131166936 kappa 0.48224151539068666 kappa 0.5264217214570425 kb_relative_information_score 94.99264621397754 kb_relative_information_score 100.90646241689765 kb_relative_information_score 98.14124394210239 kb_relative_information_score 97.18701996721538 kb_relative_information_score 94.31740793011645 kb_relative_information_score 97.3711924542342 kb_relative_information_score 100.52970743327009 kb_relative_information_score 99.44283908515622 kb_relative_information_score 97.79582638841158 kb_relative_information_score 103.55624595972513 mean_absolute_error 0.01489549563599927 mean_absolute_error 0.014689196201731846 mean_absolute_error 0.014764928323810706 mean_absolute_error 0.015101784091245662 mean_absolute_error 0.0149860247492107 mean_absolute_error 0.015069667362200025 mean_absolute_error 0.014455397383107407 mean_absolute_error 0.014728498487979132 mean_absolute_error 0.014996786924061367 mean_absolute_error 0.01452500247499037 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 0.5 predictive_accuracy 0.51875 predictive_accuracy 0.51875 predictive_accuracy 0.4875 predictive_accuracy 0.425 predictive_accuracy 0.43125 predictive_accuracy 0.4875 predictive_accuracy 0.5125 predictive_accuracy 0.4875 predictive_accuracy 0.53125 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 0.5 [0,0,0,1,0.5,0,1,0,0,1,1,0.5,0,0,1,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0.5,1,0.5,0.5,1,0,0,0,1,0.5,1,0,0,0.5,1,0.5,0,1,1,0,0.5,0.5,1,0.5,1,0,1,1,1,0.5,0,1,0.5,0.5,1,1,0,1,1,0,0.5,0,0,1,1,1,1,0.5,1,1,0.5,1,1,1,0.5,0.5,1,0.5,0.5,0,0,0,1,0.5,1,0.5,1,0.5,0,1] recall 0.51875 [0,0,0.5,1,0,1,0.5,0,0,1,1,0,0,0.5,0.5,1,0,0,0,0,0,0,1,1,1,0,0,0,0.5,1,1,1,0.5,0,1,0,0,0,1,0.5,1,1,0,0.5,0.5,1,0,0,0.5,0.5,0.5,0,1,0.5,0,0,1,1,1,0,0,1,0.5,0.5,1,1,0,1,0,1,1,1,0.5,1,1,0.5,0.5,1,1,1,0.5,1,1,0,1,1,1,0.5,1,0,0,0,1,0,1,1,1,0,0,1] recall 0.51875 [0.5,0.5,1,1,0,0.5,1,0.5,1,0.5,1,0,0,1,0.5,1,0,0,0,0,0,0,0.5,1,0,0,0,1,0.5,0.5,1,1,1,0,1,0,0,0,1,0,0.5,1,0,1,0.5,1,0,1,0.5,0.5,1,1,1,0,0,0,1,0.5,0,0,1,0,1,0,0.5,0,0,1,1,0.5,1,1,0,1,1,1,1,0.5,0.5,1,1,0.5,0.5,1,0,1,1,0,0.5,0,0.5,0,1,0.5,1,0,0,0,1,1] recall 0.4875 [0,0.5,0.5,1,0.5,0,0,0.5,1,1,1,0,0,0.5,0.5,1,0,0,0,0,0,1,1,1,0,0,0,1,0,0.5,1,0.5,1,0,0,0,0,0,1,0.5,1,1,1,1,1,1,0,0,0.5,0,1,1,0,0,1,0,1,1,1,0.5,1,0,1,1,0.5,0.5,0,1,1,0.5,0,0,0,1,1,0.5,0.5,0.5,1,1,0,0.5,1,0.5,1,1,1,0.5,0,1,0,0,0,1,1,0,0,0,0,0] recall 0.425 [1,0,1,0.5,0,0,1,0.5,0,0.5,0.5,0.5,0,0,0,0,0,0,0,0,0,1,0.5,1,1,0,0,1,0,0.5,0,1,0.5,0,1,0,0,0,0.5,1,1,0.5,0,1,1,0,0,0.5,1,0.5,0,0,0.5,0,0,0,1,1,0.5,1,0.5,1,1,1,0.5,0.5,0,1,0.5,0.5,0.5,0.5,0,0,0,0,0,0,1,1,1,1,0.5,0,1,1,1,0,1,0,0,0,1,0,0,1,0.5,0,0,0] recall 0.43125 [0.5,1,0,1,1,0,1,0,1,0.5,1,0,0,1,1,0,0,0,0,0,0,1,0,1,0,0,0,1,1,0.5,1,1,0.5,0,0,0,0,0,1,0.5,1,0,0,0,1,1,0,0,1,0.5,0,1,0,1,0,0,1,1,0.5,1,0.5,0.5,1,1,1,0.5,0,1,0.5,1,0.5,0,0,1,0,1,0.5,0.5,1,0,1,0.5,1,0,1,1,0,0,0,0,0,0,0,1,1,0,0.5,0,0,0.5] recall 0.4875 [1,0,1,1,1,1,1,0,1,1,0,0,0,1,0,0.5,0,0,0,0,0,1,0,0.5,0.5,0,0,0,0,0.5,0.5,0,1,0,1,0,0,0,0.5,0,1,0.5,0.5,1,0,0.5,0,0,1,1,0,0.5,1,1,0.5,0,1,0.5,0,1,1,0,1,0,0.5,0,0,1,1,0.5,1,1,0,1,0.5,1,1,0,0,1,0,1,1,1,1,0.5,1,0,0,0,0,0,0,1,1,0.5,1,0,0.5,1] recall 0.5125 [1,1,1,1,0,0.5,1,1,0,1,1,0,0,1,1,0.5,0,0,0,0,0,1,0,1,0.5,0,0,0,0,1,1,1,1,0,1,0,0,0,0,1,0.5,1,0,0,1,1,0,0,1,0,0,0.5,0.5,1,0,0,0.5,1,1,1,0.5,0.5,1,1,1,0,0,1,0.5,0,1,0,0,1,0.5,1,1,1,1,1,0,0,0.5,0.5,0.5,0.5,1,1,1,0.5,0,0.5,0,1,1,1,0.5,1,0.5,0] recall 0.4875 [0,0,1,1,0.5,1,1,0,0.5,1,0,0,0.5,0.5,1,1,0,0,0,0,0,1,0,1,1,0,0,1,0.5,1,0.5,0.5,1,0,1,0,0,0,0.5,0,0,1,0,1,0,0.5,0,0.5,0,0,0,0,0,0.5,0,0,1,1,1,0,1,1,0,1,1,1,0,1,1,0,1,0,0,1,0.5,0,0,1,1,1,1,1,0,0,1,1,1,0,1,0.5,0,0,0.5,0.5,1,0.5,0,0,0.5,1] recall 0.53125 [0,0,0,1,1,0,0.5,0,0.5,1,1,0,0,0.5,0.5,1,0,0,0,0,0,1,0,1,0.5,0,0,0.5,0.5,0,1,1,1,0,1,0,0,0,0,1,1,1,0.5,0.5,1,1,0,0,1,1,0,0.5,1,0.5,0.5,0,1,0,1,1,0.5,0,0,1,1,1,0,1,1,1,0,0,0,1,0.5,1,1,1,0,0.5,1,0,0,1,0.5,1,1,1,1,0,0,0,1,0.5,0,1,0,0.5,1,1] relative_absolute_error 0.7522977593939012 relative_absolute_error 0.7418785960470617 relative_absolute_error 0.7457034506975091 relative_absolute_error 0.7627163682447292 relative_absolute_error 0.7568699368288221 relative_absolute_error 0.7610943112222222 relative_absolute_error 0.7300705749044133 relative_absolute_error 0.7438635599989447 relative_absolute_error 0.7574134810131992 relative_absolute_error 0.733585983585371 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 0.08366859201023796 root_mean_squared_error 0.08175777128292093 root_mean_squared_error 0.08234263654895979 root_mean_squared_error 0.08364105079157874 root_mean_squared_error 0.08436344461259097 root_mean_squared_error 0.08384385790032664 root_mean_squared_error 0.08223794571200317 root_mean_squared_error 0.0820902025599131 root_mean_squared_error 0.08367702714541335 root_mean_squared_error 0.0811216593376351 root_relative_squared_error 0.8409009891978388 root_relative_squared_error 0.8216965183064916 root_relative_squared_error 0.8275746353984985 root_relative_squared_error 0.8406241895355303 root_relative_squared_error 0.8478845206117992 root_relative_squared_error 0.8426624776704805 root_relative_squared_error 0.8265224528979731 root_relative_squared_error 0.8250375783500119 root_relative_squared_error 0.8409857654961195 root_relative_squared_error 0.8153033527089879 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 3964.2295190000004 usercpu_time_millis 4042.856301999999 usercpu_time_millis 4012.6456160000025 usercpu_time_millis 4037.949103000004 usercpu_time_millis 3961.771856999999 usercpu_time_millis 4070.4111120000025 usercpu_time_millis 4087.8596049999983 usercpu_time_millis 4050.0112979999976 usercpu_time_millis 4024.400425999993 usercpu_time_millis 4088.674925999996 usercpu_time_millis_testing 352.6635819999999 usercpu_time_millis_testing 348.5853599999995 usercpu_time_millis_testing 325.6683490000007 usercpu_time_millis_testing 337.85425300000327 usercpu_time_millis_testing 346.605555 usercpu_time_millis_testing 344.63532700000246 usercpu_time_millis_testing 327.96281999999974 usercpu_time_millis_testing 329.37155399999796 usercpu_time_millis_testing 351.219406999995 usercpu_time_millis_testing 336.733578999997 usercpu_time_millis_training 3611.5659370000003 usercpu_time_millis_training 3694.270941999999 usercpu_time_millis_training 3686.9772670000016 usercpu_time_millis_training 3700.094850000001 usercpu_time_millis_training 3615.1663019999987 usercpu_time_millis_training 3725.775785 usercpu_time_millis_training 3759.8967849999985 usercpu_time_millis_training 3720.6397439999996 usercpu_time_millis_training 3673.181018999998 usercpu_time_millis_training 3751.941346999999