8924605 1935 Hilde Weerts 14 Supervised Classification 8315 sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.ensemble.forest.RandomForestClassifier)(1) 6861486 categorical_features [] 7644 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 7644 handle_unknown "ignore" 7644 n_values "auto" 7644 sparse true 7644 threshold 0.0 7645 bootstrap false 7684 class_weight null 7684 criterion "gini" 7684 max_depth null 7684 max_features 0.5223207547615432 7684 max_leaf_nodes null 7684 min_impurity_decrease 0.0 7684 min_impurity_split null 7684 min_samples_leaf 2 7684 min_samples_split 14 7684 min_weight_fraction_leaf 0.0 7684 n_estimators 500 7684 n_jobs 1 7684 oob_score false 7684 random_state 1 7684 verbose 0 7684 warm_start false 7684 memory null 8315 axis 0 8316 categorical_features [] 8316 copy true 8316 fill_empty 0 8316 missing_values "NaN" 8316 strategy "mean" 8316 strategy_nominal "most_frequent" 8316 verbose 0 8316 openml-python Sklearn_0.19.1. study_98 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 18764792 description https://api.openml.org/data/download/18764792/description.xml -1 18764793 predictions https://api.openml.org/data/download/18764793/predictions.arff area_under_roc_curve 0.9820658333333332 [0.999986,0.976817,0.995581,0.991042,0.978453,0.994453,0.945317,0.992492,0.998806,0.947714] average_cost 0 f_measure 0.830522856353587 [0.987654,0.80397,0.947103,0.902564,0.805263,0.906863,0.542289,0.890476,0.961832,0.557214] kappa 0.8116666666666666 kb_relative_information_score 1600.537994518139 mean_absolute_error 0.05685112917082926 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.831702691729631 [0.97561,0.79803,0.954315,0.926316,0.85,0.889423,0.539604,0.85,0.979275,0.554455] predictive_accuracy 0.8305 prior_entropy 3.321928094887362 recall 0.8305 [1,0.81,0.94,0.88,0.765,0.925,0.545,0.935,0.945,0.56] relative_absolute_error 0.3158396065045973 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.15683358908717912 root_relative_squared_error 0.522778630290589 total_cost 0 area_under_roc_curve 0.9832222222222222 [1,0.981944,0.995556,0.996667,0.982222,1,0.931111,0.992778,0.999167,0.952778] area_under_roc_curve 0.9817499999999998 [0.999722,0.976389,0.994167,0.989444,0.981111,0.990556,0.952778,0.990556,0.995556,0.947222] area_under_roc_curve 0.9752777777777777 [1,0.979444,0.999722,0.969167,0.986111,0.9925,0.896389,0.9925,1,0.936944] area_under_roc_curve 0.9883611111111112 [1,0.978056,0.996944,0.995278,0.987778,0.996944,0.9775,0.995556,0.999722,0.955833] area_under_roc_curve 0.9851666666666666 [1,0.973333,1,0.9975,0.99,0.995,0.956389,0.991111,1,0.948333] area_under_roc_curve 0.9866388888888887 [1,0.981944,1,0.994167,0.992778,0.995,0.955,0.994167,0.999722,0.953611] area_under_roc_curve 0.9821666666666666 [1,0.971111,0.984167,0.997222,0.984167,0.991667,0.964722,0.989167,1,0.939444] area_under_roc_curve 0.9828055555555557 [1,0.973056,0.998056,0.987778,0.951667,0.997222,0.959722,0.996667,0.996944,0.966944] area_under_roc_curve 0.9817222222222223 [1,0.971111,1,0.9975,0.979722,0.987222,0.943056,0.995556,1,0.943056] area_under_roc_curve 0.9746944444444445 [1,0.981667,0.99,0.986667,0.9475,0.997222,0.920833,0.9925,0.994722,0.935833] 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 0.8308349813227862 [1,0.772727,0.926829,0.918919,0.829268,1,0.424242,0.9,0.9,0.636364] f_measure 0.7942230283672802 [0.97561,0.769231,0.894737,0.871795,0.742857,0.818182,0.55814,0.863636,0.974359,0.473684] f_measure 0.7785259587698612 [1,0.714286,0.918919,0.756757,0.75,0.878049,0.35,0.871795,1,0.545455] f_measure 0.8702022047272366 [1,0.820513,0.95,0.926829,0.818182,0.923077,0.736842,0.820513,0.974359,0.731707] f_measure 0.8220638802663268 [0.97561,0.75,0.974359,0.926829,0.764706,0.909091,0.526316,0.857143,1,0.536585] f_measure 0.8680532087450618 [1,0.9,1,0.894737,0.829268,0.878049,0.666667,0.930233,0.95,0.631579] f_measure 0.8434819710545896 [1,0.857143,0.947368,0.926829,0.857143,0.878049,0.604651,0.863636,1,0.5] f_measure 0.8522566940604378 [1,0.744186,0.97561,0.918919,0.810811,0.923077,0.634146,0.930233,0.918919,0.666667] f_measure 0.8508126946509488 [1,0.888889,0.97561,0.952381,0.842105,0.923077,0.473684,0.952381,1,0.5] f_measure 0.7892943635069983 [0.930233,0.842105,0.904762,0.918919,0.8,0.95,0.44898,0.909091,0.894737,0.294118] kappa 0.8166666666666667 kappa 0.7722222222222223 kappa 0.75 kappa 0.8555555555555555 kappa 0.8055555555555555 kappa 0.8555555555555555 kappa 0.8277777777777777 kappa 0.8333333333333333 kappa 0.8333333333333333 kappa 0.7666666666666667 kb_relative_information_score 160.1768888930723 kb_relative_information_score 157.63392301429064 kb_relative_information_score 154.79743645954787 kb_relative_information_score 162.95525731448615 kb_relative_information_score 160.0402743826598 kb_relative_information_score 163.1639798351664 kb_relative_information_score 161.52996726250137 kb_relative_information_score 160.5890946847968 kb_relative_information_score 163.79379908470418 kb_relative_information_score 155.85737358691543 mean_absolute_error 0.057269866222666235 mean_absolute_error 0.05905111385281388 mean_absolute_error 0.06068835739815742 mean_absolute_error 0.054370890970140945 mean_absolute_error 0.05836931569541571 mean_absolute_error 0.05406094129204134 mean_absolute_error 0.05589709250194252 mean_absolute_error 0.05645414860694861 mean_absolute_error 0.05267817331557331 mean_absolute_error 0.05967139185259186 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] precision 0.834441391941392 [1,0.708333,0.904762,1,0.809524,1,0.538462,0.9,0.9,0.583333] precision 0.8011108386909302 [0.952381,0.789474,0.944444,0.894737,0.866667,0.75,0.521739,0.791667,1,0.5] precision 0.7857227292831007 [1,0.681818,1,0.823529,0.75,0.857143,0.35,0.894737,1,0.5] precision 0.8728404344193819 [1,0.842105,0.95,0.904762,0.75,0.947368,0.777778,0.842105,1,0.714286] precision 0.8266594516594518 [0.952381,0.75,1,0.904762,0.928571,0.833333,0.555556,0.818182,1,0.52381] precision 0.8681553521484873 [1,0.9,1,0.944444,0.809524,0.857143,0.684211,0.869565,0.95,0.666667] precision 0.8499470638057594 [1,0.818182,1,0.904762,1,0.857143,0.565217,0.791667,1,0.5625] precision 0.8602730961325658 [1,0.695652,0.952381,1,0.882353,0.947368,0.619048,0.869565,1,0.636364] precision 0.8565153413837624 [1,1,0.952381,0.909091,0.888889,0.947368,0.5,0.909091,1,0.458333] precision 0.8019654782998111 [0.869565,0.888889,0.863636,1,0.933333,0.95,0.37931,0.833333,0.944444,0.357143] predictive_accuracy 0.835 predictive_accuracy 0.795 predictive_accuracy 0.775 predictive_accuracy 0.87 predictive_accuracy 0.825 predictive_accuracy 0.87 predictive_accuracy 0.845 predictive_accuracy 0.85 predictive_accuracy 0.85 predictive_accuracy 0.79 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 recall 0.835 [1,0.85,0.95,0.85,0.85,1,0.35,0.9,0.9,0.7] recall 0.795 [1,0.75,0.85,0.85,0.65,0.9,0.6,0.95,0.95,0.45] recall 0.775 [1,0.75,0.85,0.7,0.75,0.9,0.35,0.85,1,0.6] recall 0.87 [1,0.8,0.95,0.95,0.9,0.9,0.7,0.8,0.95,0.75] recall 0.825 [1,0.75,0.95,0.95,0.65,1,0.5,0.9,1,0.55] recall 0.87 [1,0.9,1,0.85,0.85,0.9,0.65,1,0.95,0.6] recall 0.845 [1,0.9,0.9,0.95,0.75,0.9,0.65,0.95,1,0.45] recall 0.85 [1,0.8,1,0.85,0.75,0.9,0.65,1,0.85,0.7] recall 0.85 [1,0.8,1,1,0.8,0.9,0.45,1,1,0.55] recall 0.79 [1,0.8,0.95,0.85,0.7,0.95,0.55,1,0.85,0.25] relative_absolute_error 0.3181659234592572 relative_absolute_error 0.3280617436267441 relative_absolute_error 0.3371575411008749 relative_absolute_error 0.3020605053896723 relative_absolute_error 0.3242739760856432 relative_absolute_error 0.30033856273356335 relative_absolute_error 0.3105394027885699 relative_absolute_error 0.31363415892749263 relative_absolute_error 0.292656518419852 relative_absolute_error 0.3315077325143996 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_squared_error 0.1573538707827343 root_mean_squared_error 0.16429037156951626 root_mean_squared_error 0.17068667713617672 root_mean_squared_error 0.1478670466321765 root_mean_squared_error 0.15743405977632116 root_mean_squared_error 0.14859402288910764 root_mean_squared_error 0.15360429041040102 root_mean_squared_error 0.15371934873734194 root_mean_squared_error 0.14749705958613116 root_mean_squared_error 0.1654466952710071 root_relative_squared_error 0.5245129026091147 root_relative_squared_error 0.5476345718983879 root_relative_squared_error 0.5689555904539226 root_relative_squared_error 0.4928901554405886 root_relative_squared_error 0.5247801992544042 root_relative_squared_error 0.4953134096303591 root_relative_squared_error 0.5120143013680037 root_relative_squared_error 0.5123978291244735 root_relative_squared_error 0.4916568652871042 root_relative_squared_error 0.5514889842366908 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 90533.63095799978 usercpu_time_millis 88448.5282880014 usercpu_time_millis 87000.49714200031 usercpu_time_millis 87793.62670699993 usercpu_time_millis 91973.33792900099 usercpu_time_millis 87400.0378159999 usercpu_time_millis 88764.37440799964 usercpu_time_millis 87747.50372800008 usercpu_time_millis 90069.83580499764 usercpu_time_millis 90620.04493199856 usercpu_time_millis_testing 206.6253119992325 usercpu_time_millis_testing 217.21511400028248 usercpu_time_millis_testing 172.9508540011011 usercpu_time_millis_testing 168.58687700005248 usercpu_time_millis_testing 169.05374100133486 usercpu_time_millis_testing 158.9794339997752 usercpu_time_millis_testing 242.83986800037383 usercpu_time_millis_testing 190.4964690002089 usercpu_time_millis_testing 170.32804199880047 usercpu_time_millis_testing 190.1038959986181 usercpu_time_millis_training 90327.00564600054 usercpu_time_millis_training 88231.31317400112 usercpu_time_millis_training 86827.54628799921 usercpu_time_millis_training 87625.03982999988 usercpu_time_millis_training 91804.28418799966 usercpu_time_millis_training 87241.05838200012 usercpu_time_millis_training 88521.53453999927 usercpu_time_millis_training 87557.00725899987 usercpu_time_millis_training 89899.50776299884 usercpu_time_millis_training 90429.94103599995