8906169 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) 6843676 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 13758.822588916397 7650 cache_size 200 7650 class_weight null 7650 coef0 0.9374034698130119 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 3.663601171319447 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking true 7650 tol 0.05618415832698959 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 18728074 description https://api.openml.org/data/download/18728074/description.xml -1 18728075 predictions https://api.openml.org/data/download/18728075/predictions.arff area_under_roc_curve 0.5069444444444444 [0.51,0.5125,0.508889,0.501111,0.501944,0.505,0.51,0.505,0.51,0.505] average_cost 0 f_measure 0.06707614336112964 [0.039216,0.04878,0.175793,0.134228,0.134907,0.019802,0.039216,0.019802,0.039216,0.019802] kappa 0.013888888888888885 kb_relative_information_score 143.78045425480386 mean_absolute_error 0.1774999999999942 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7305484874187164 [1,1,0.102694,0.10101,0.101781,1,1,1,1,1] predictive_accuracy 0.1125 prior_entropy 3.321928094887362 recall 0.1125 [0.02,0.025,0.61,0.2,0.2,0.01,0.02,0.01,0.02,0.01] relative_absolute_error 0.9861111111110483 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.421307488658811 root_relative_squared_error 1.4043582955293485 total_cost 0 area_under_roc_curve 0.5083333333333333 [0.5,0.525,0.508333,0.5,0.5,0.5,0.525,0.5,0.525,0.5] area_under_roc_curve 0.5055555555555555 [0.5,0.5,0.505556,0.5,0.5,0.5,0.525,0.525,0.5,0.5] area_under_roc_curve 0.5055555555555555 [0.5,0.55,0.505556,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5111111111111112 [0.525,0.5,0.5,0.5,0.511111,0.525,0.5,0.525,0.5,0.525] area_under_roc_curve 0.5055555555555555 [0.5,0.5,0.5,0.505556,0.5,0.525,0.5,0.5,0.525,0.5] area_under_roc_curve 0.5083333333333333 [0.525,0.525,0.525,0.5,0.508333,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5111111111111112 [0.525,0.525,0.511111,0.5,0.5,0.5,0.5,0.5,0.525,0.525] area_under_roc_curve 0.5027777777777778 [0.5,0.5,0.502778,0.5,0.5,0.5,0.525,0.5,0.5,0.5] area_under_roc_curve 0.5055555555555555 [0.5,0.5,0.525,0.505556,0.5,0.5,0.5,0.5,0.525,0.5] area_under_roc_curve 0.5055555555555555 [0.525,0.5,0.505556,0.5,0.5,0.5,0.525,0.5,0.5,0.5] 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 0.016666666666666666 kappa 0.011111111111111105 kappa 0.011111111111111105 kappa 0.02222222222222221 kappa 0.011111111111111105 kappa 0.016666666666666666 kappa 0.02222222222222221 kappa 0.005555555555555545 kappa 0.011111111111111105 kappa 0.011111111111111105 kb_relative_information_score 14.900924170760396 kb_relative_information_score 13.855166680199693 kb_relative_information_score 13.855166680199778 kb_relative_information_score 15.94668166132113 kb_relative_information_score 13.855166680199734 kb_relative_information_score 14.900924170760446 kb_relative_information_score 15.946681661321106 kb_relative_information_score 12.809409189639018 kb_relative_information_score 13.855166680199734 kb_relative_information_score 13.855166680199693 mean_absolute_error 0.17699999999999982 mean_absolute_error 0.17799999999999983 mean_absolute_error 0.17799999999999983 mean_absolute_error 0.1759999999999998 mean_absolute_error 0.17799999999999983 mean_absolute_error 0.17699999999999982 mean_absolute_error 0.1759999999999998 mean_absolute_error 0.17899999999999985 mean_absolute_error 0.17799999999999983 mean_absolute_error 0.17799999999999983 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] predictive_accuracy 0.115 predictive_accuracy 0.11 predictive_accuracy 0.11 predictive_accuracy 0.12 predictive_accuracy 0.11 predictive_accuracy 0.115 predictive_accuracy 0.12 predictive_accuracy 0.105 predictive_accuracy 0.11 predictive_accuracy 0.11 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 0.115 [0,0.05,1,0,0,0,0.05,0,0.05,0] recall 0.11 [0,0,1,0,0,0,0.05,0.05,0,0] recall 0.11 [0,0.1,1,0,0,0,0,0,0,0] recall 0.12 [0.05,0,0,0,1,0.05,0,0.05,0,0.05] recall 0.11 [0,0,0,1,0,0.05,0,0,0.05,0] recall 0.115 [0.05,0.05,0.05,0,1,0,0,0,0,0] recall 0.12 [0.05,0.05,1,0,0,0,0,0,0.05,0.05] recall 0.105 [0,0,1,0,0,0,0.05,0,0,0] recall 0.11 [0,0,0.05,1,0,0,0,0,0.05,0] recall 0.11 [0.05,0,1,0,0,0,0.05,0,0,0] relative_absolute_error 0.9833333333333334 relative_absolute_error 0.988888888888889 relative_absolute_error 0.988888888888889 relative_absolute_error 0.9777777777777777 relative_absolute_error 0.988888888888889 relative_absolute_error 0.9833333333333334 relative_absolute_error 0.9777777777777777 relative_absolute_error 0.9944444444444447 relative_absolute_error 0.988888888888889 relative_absolute_error 0.988888888888889 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 0.42071367935925236 root_mean_squared_error 0.4219004621945795 root_mean_squared_error 0.4219004621945795 root_mean_squared_error 0.41952353926806035 root_mean_squared_error 0.4219004621945795 root_mean_squared_error 0.42071367935925236 root_mean_squared_error 0.41952353926806035 root_mean_squared_error 0.42308391602612344 root_mean_squared_error 0.4219004621945795 root_mean_squared_error 0.4219004621945795 root_relative_squared_error 1.4023789311975088 root_relative_squared_error 1.4063348739819324 root_relative_squared_error 1.4063348739819324 root_relative_squared_error 1.3984117975602017 root_relative_squared_error 1.4063348739819324 root_relative_squared_error 1.4023789311975088 root_relative_squared_error 1.3984117975602017 root_relative_squared_error 1.4102797200870791 root_relative_squared_error 1.4063348739819324 root_relative_squared_error 1.4063348739819324 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 3777.1261349998895 usercpu_time_millis 3818.4512099996937 usercpu_time_millis 3542.0840150000004 usercpu_time_millis 3222.011105999627 usercpu_time_millis 3203.4421480002493 usercpu_time_millis 3297.154885000964 usercpu_time_millis 3270.2637680004045 usercpu_time_millis 3810.8735369996793 usercpu_time_millis 3778.2511839996005 usercpu_time_millis 3954.9492339992867 usercpu_time_millis_testing 62.953768999250315 usercpu_time_millis_testing 66.60968899996078 usercpu_time_millis_testing 54.66276900006051 usercpu_time_millis_testing 58.39282499982801 usercpu_time_millis_testing 54.441043000224454 usercpu_time_millis_testing 55.07352700078627 usercpu_time_millis_testing 63.677148000351735 usercpu_time_millis_testing 65.32398399940575 usercpu_time_millis_testing 54.8328679997212 usercpu_time_millis_testing 63.5557699997662 usercpu_time_millis_training 3714.172366000639 usercpu_time_millis_training 3751.841520999733 usercpu_time_millis_training 3487.42124599994 usercpu_time_millis_training 3163.618280999799 usercpu_time_millis_training 3149.001105000025 usercpu_time_millis_training 3242.0813580001777 usercpu_time_millis_training 3206.586620000053 usercpu_time_millis_training 3745.5495530002736 usercpu_time_millis_training 3723.4183159998793 usercpu_time_millis_training 3891.3934639995205