8906214 1935 Hilde Weerts 14 Supervised Classification 8317 sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.svm.classes.SVC)(1) 6843716 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 copy true 7646 with_mean false 7646 with_std true 7646 C 2.604990574733738 7650 cache_size 200 7650 class_weight null 7650 coef0 0.3190639076307651 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 0.0016345965809953147 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking true 7650 tol 0.00018891029687558532 7650 verbose false 7650 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 memory null 8317 openml-python Sklearn_0.19.1. study_98 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 18728164 description https://api.openml.org/data/download/18728164/description.xml -1 18728165 predictions https://api.openml.org/data/download/18728165/predictions.arff area_under_roc_curve 0.9027777777777778 [0.995,0.869444,0.975,0.925278,0.873889,0.960556,0.7125,0.961944,0.986389,0.767778] average_cost 0 f_measure 0.8238725284729359 [0.994975,0.75122,0.955,0.884319,0.796875,0.925373,0.509589,0.885246,0.977444,0.558685] kappa 0.8055555555555555 kb_relative_information_score 1633.984878303716 mean_absolute_error 0.035000000000000225 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8253383714357503 [1,0.733333,0.955,0.910053,0.831522,0.920792,0.563636,0.832599,0.979899,0.526549] predictive_accuracy 0.825 prior_entropy 3.321928094887362 recall 0.825 [0.99,0.77,0.955,0.86,0.765,0.93,0.465,0.945,0.975,0.595] relative_absolute_error 0.1944444444444397 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.18708286933869767 root_relative_squared_error 0.623609564462316 total_cost 0 area_under_roc_curve 0.8944444444444444 [0.975,0.916667,0.972222,0.9,0.919444,1,0.625,0.919444,0.997222,0.719444] area_under_roc_curve 0.9055555555555556 [1,0.891667,0.972222,0.947222,0.838889,0.941667,0.688889,0.933333,0.975,0.866667] area_under_roc_curve 0.9194444444444444 [1,0.880556,1,0.891667,0.936111,0.947222,0.786111,0.919444,1,0.833333] area_under_roc_curve 0.9138888888888889 [0.975,0.836111,0.975,0.969444,0.936111,0.944444,0.788889,0.916667,0.972222,0.825] area_under_roc_curve 0.8972222222222223 [1,0.813889,0.975,0.916667,0.888889,0.969444,0.702778,0.983333,1,0.722222] area_under_roc_curve 0.9 [1,0.891667,0.994444,0.894444,0.838889,0.947222,0.722222,0.991667,1,0.719444] area_under_roc_curve 0.8972222222222221 [1,0.863889,0.95,0.941667,0.844444,0.963889,0.75,0.983333,1,0.675] area_under_roc_curve 0.913888888888889 [1,0.883333,0.972222,0.944444,0.872222,0.947222,0.8,0.991667,0.972222,0.755556] area_under_roc_curve 0.9027777777777777 [1,0.841667,0.997222,0.972222,0.813889,0.969444,0.611111,0.988889,1,0.833333] area_under_roc_curve 0.8833333333333332 [1,0.875,0.941667,0.875,0.85,0.975,0.65,0.991667,0.947222,0.727778] 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 0.8083109383841091 [0.974359,0.72,0.95,0.888889,0.871795,1,0.342857,0.871795,0.97561,0.487805] f_measure 0.8267688088548165 [1,0.820513,0.95,0.923077,0.736842,0.878049,0.5,0.818182,0.974359,0.666667] f_measure 0.8545428612870474 [1,0.744186,1,0.820513,0.837209,0.923077,0.648649,0.871795,1,0.7] f_measure 0.8448534694649271 [0.974359,0.717949,0.974359,0.926829,0.837209,0.9,0.666667,0.85,0.95,0.651163] f_measure 0.810994264923215 [1,0.702703,0.974359,0.85,0.8,0.926829,0.486486,0.869565,1,0.5] f_measure 0.8192955500580064 [1,0.820513,0.952381,0.842105,0.736842,0.923077,0.5,0.930233,1,0.487805] f_measure 0.8108144328605279 [1,0.769231,0.947368,0.878049,0.777778,0.883721,0.55,0.869565,1,0.432432] f_measure 0.8446542563923225 [1,0.761905,0.95,0.9,0.833333,0.923077,0.619048,0.930233,0.95,0.578947] f_measure 0.8154322726273945 [1,0.756757,0.97561,0.95,0.702703,0.926829,0.333333,0.909091,1,0.6] f_measure 0.7944722838304132 [1,0.711111,0.878049,0.857143,0.823529,0.974359,0.388889,0.930233,0.923077,0.458333] kappa 0.788888888888889 kappa 0.8111111111111111 kappa 0.8388888888888889 kappa 0.8277777777777777 kappa 0.7944444444444444 kappa 0.7999999999999999 kappa 0.7944444444444444 kappa 0.8277777777777777 kappa 0.8055555555555555 kappa 0.7666666666666667 kb_relative_information_score 160.26121535869456 kb_relative_information_score 164.4442453209372 kb_relative_information_score 169.67303277374046 kb_relative_information_score 167.58151779261917 kb_relative_information_score 161.3069728492552 kb_relative_information_score 162.35273033981585 kb_relative_information_score 161.3069728492552 kb_relative_information_score 167.58151779261917 kb_relative_information_score 163.39848783037652 kb_relative_information_score 156.07818539645191 mean_absolute_error 0.03800000000000002 mean_absolute_error 0.034000000000000016 mean_absolute_error 0.029000000000000012 mean_absolute_error 0.031000000000000014 mean_absolute_error 0.03700000000000002 mean_absolute_error 0.03600000000000002 mean_absolute_error 0.03700000000000002 mean_absolute_error 0.031000000000000014 mean_absolute_error 0.03500000000000002 mean_absolute_error 0.04200000000000001 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 0.8168045112781954 [1,0.6,0.95,1,0.894737,1,0.4,0.894737,0.952381,0.47619] precision 0.8362489557226398 [1,0.842105,0.95,0.947368,0.777778,0.857143,0.666667,0.75,1,0.571429] precision 0.8568353748822184 [1,0.695652,1,0.842105,0.782609,0.947368,0.705882,0.894737,1,0.7] precision 0.848290835785115 [1,0.736842,1,0.904762,0.782609,0.9,0.75,0.85,0.95,0.608696] precision 0.8118110321051497 [1,0.764706,1,0.85,0.8,0.904762,0.529412,0.769231,1,0.5] precision 0.8210986953549881 [1,0.842105,0.909091,0.888889,0.777778,0.947368,0.5,0.869565,1,0.47619] precision 0.8137522502400009 [1,0.789474,1,0.857143,0.875,0.826087,0.55,0.769231,1,0.470588] precision 0.8483726567736865 [1,0.727273,0.95,0.9,0.9375,0.947368,0.590909,0.869565,0.95,0.611111] precision 0.8228711484593838 [1,0.823529,0.952381,0.95,0.764706,0.904762,0.5,0.833333,1,0.5] precision 0.8144433638443935 [1,0.64,0.857143,1,1,1,0.4375,0.869565,0.947368,0.392857] predictive_accuracy 0.81 predictive_accuracy 0.83 predictive_accuracy 0.855 predictive_accuracy 0.845 predictive_accuracy 0.815 predictive_accuracy 0.82 predictive_accuracy 0.815 predictive_accuracy 0.845 predictive_accuracy 0.825 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 0.81 [0.95,0.9,0.95,0.8,0.85,1,0.3,0.85,1,0.5] recall 0.83 [1,0.8,0.95,0.9,0.7,0.9,0.4,0.9,0.95,0.8] recall 0.855 [1,0.8,1,0.8,0.9,0.9,0.6,0.85,1,0.7] recall 0.845 [0.95,0.7,0.95,0.95,0.9,0.9,0.6,0.85,0.95,0.7] recall 0.815 [1,0.65,0.95,0.85,0.8,0.95,0.45,1,1,0.5] recall 0.82 [1,0.8,1,0.8,0.7,0.9,0.5,1,1,0.5] recall 0.815 [1,0.75,0.9,0.9,0.7,0.95,0.55,1,1,0.4] recall 0.845 [1,0.8,0.95,0.9,0.75,0.9,0.65,1,0.95,0.55] recall 0.825 [1,0.7,1,0.95,0.65,0.95,0.25,1,1,0.75] recall 0.79 [1,0.8,0.9,0.75,0.7,0.95,0.35,1,0.9,0.55] relative_absolute_error 0.21111111111111147 relative_absolute_error 0.1888888888888892 relative_absolute_error 0.16111111111111134 relative_absolute_error 0.1722222222222225 relative_absolute_error 0.20555555555555588 relative_absolute_error 0.20000000000000032 relative_absolute_error 0.20555555555555588 relative_absolute_error 0.1722222222222225 relative_absolute_error 0.19444444444444475 relative_absolute_error 0.23333333333333364 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 0.19493588689617933 root_mean_squared_error 0.1843908891458578 root_mean_squared_error 0.17029386365926405 root_mean_squared_error 0.17606816861659014 root_mean_squared_error 0.19235384061671348 root_mean_squared_error 0.1897366596101028 root_mean_squared_error 0.19235384061671348 root_mean_squared_error 0.17606816861659014 root_mean_squared_error 0.1870828693386971 root_mean_squared_error 0.20493901531919198 root_relative_squared_error 0.6497862896539316 root_relative_squared_error 0.6146362971528597 root_relative_squared_error 0.5676462121975472 root_relative_squared_error 0.5868938953886341 root_relative_squared_error 0.6411794687223786 root_relative_squared_error 0.6324555320336763 root_relative_squared_error 0.6411794687223786 root_relative_squared_error 0.5868938953886341 root_relative_squared_error 0.6236095644623241 root_relative_squared_error 0.6831300510639737 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 3178.121385999475 usercpu_time_millis 3163.136571000905 usercpu_time_millis 3106.870976999744 usercpu_time_millis 2923.126161000255 usercpu_time_millis 2824.5920490007848 usercpu_time_millis 2480.5855869999505 usercpu_time_millis 2506.999411000834 usercpu_time_millis 2592.7988050007116 usercpu_time_millis 2710.7410289991094 usercpu_time_millis 3116.8868939994354 usercpu_time_millis_testing 35.4195259997141 usercpu_time_millis_testing 35.78106900022249 usercpu_time_millis_testing 30.89313599957677 usercpu_time_millis_testing 36.529783999867504 usercpu_time_millis_testing 30.3653930004657 usercpu_time_millis_testing 30.102787999567227 usercpu_time_millis_testing 30.376359000001685 usercpu_time_millis_testing 30.640063000646478 usercpu_time_millis_testing 32.10576599940396 usercpu_time_millis_testing 35.762540999712655 usercpu_time_millis_training 3142.701859999761 usercpu_time_millis_training 3127.3555020006825 usercpu_time_millis_training 3075.9778410001672 usercpu_time_millis_training 2886.5963770003873 usercpu_time_millis_training 2794.226656000319 usercpu_time_millis_training 2450.4827990003832 usercpu_time_millis_training 2476.623052000832 usercpu_time_millis_training 2562.158742000065 usercpu_time_millis_training 2678.6352629997054 usercpu_time_millis_training 3081.1243529997228