8906211 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) 6843713 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 0.034737378115693926 7650 cache_size 200 7650 class_weight null 7650 coef0 0.007631633881163169 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 3.3566215454783446e-05 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking false 7650 tol 1.0728191954114602e-05 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 18728158 description https://api.openml.org/data/download/18728158/description.xml -1 18728159 predictions https://api.openml.org/data/download/18728159/predictions.arff area_under_roc_curve 0.8305555555555556 [0.929722,0.829444,0.929167,0.821944,0.731389,0.895278,0.647222,0.840556,0.971944,0.708889] average_cost 0 f_measure 0.6946357404883698 [0.922252,0.59127,0.832941,0.762463,0.587156,0.816121,0.394118,0.748663,0.850325,0.441048] kappa 0.6611111111111111 kb_relative_information_score 1362.0879307579664 mean_absolute_error 0.061000000000000595 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7196844103931835 [0.99422,0.490132,0.786667,0.921986,0.755906,0.822335,0.478571,0.804598,0.750958,0.391473] predictive_accuracy 0.695 prior_entropy 3.321928094887362 recall 0.695 [0.86,0.745,0.885,0.65,0.48,0.81,0.335,0.7,0.98,0.505] relative_absolute_error 0.33888888888888175 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.24698178070457058 root_relative_squared_error 0.823272602348556 total_cost 0 area_under_roc_curve 0.811111111111111 [0.9,0.838889,0.916667,0.85,0.797222,0.969444,0.541667,0.719444,0.975,0.602778] area_under_roc_curve 0.838888888888889 [0.95,0.855556,0.936111,0.85,0.7,0.891667,0.675,0.788889,0.955556,0.786111] area_under_roc_curve 0.8222222222222223 [0.9,0.816667,0.869444,0.794444,0.811111,0.844444,0.658333,0.819444,0.986111,0.722222] area_under_roc_curve 0.8250000000000002 [0.875,0.758333,0.961111,0.869444,0.736111,0.861111,0.677778,0.838889,0.95,0.722222] area_under_roc_curve 0.8166666666666668 [0.972222,0.722222,0.891667,0.769444,0.686111,0.883333,0.658333,0.908333,0.986111,0.688889] area_under_roc_curve 0.8361111111111111 [0.975,0.833333,0.991667,0.844444,0.641667,0.927778,0.608333,0.888889,0.988889,0.661111] area_under_roc_curve 0.8527777777777777 [0.975,0.811111,0.933333,0.922222,0.744444,0.791667,0.736111,0.916667,0.983333,0.713889] area_under_roc_curve 0.8722222222222221 [0.975,0.891667,0.919444,0.872222,0.719444,0.919444,0.730556,0.891667,0.988889,0.813889] area_under_roc_curve 0.8277777777777777 [0.9,0.875,0.966667,0.7,0.686111,0.913889,0.588889,0.844444,0.986111,0.816667] area_under_roc_curve 0.8027777777777777 [0.875,0.891667,0.905556,0.747222,0.791667,0.95,0.597222,0.788889,0.919444,0.561111] 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 0.6558990326992005 [0.888889,0.625,0.72,0.823529,0.727273,0.926829,0.171429,0.580645,0.816327,0.27907] f_measure 0.7093810687451466 [0.947368,0.615385,0.837209,0.823529,0.571429,0.820513,0.432432,0.666667,0.826087,0.553191] f_measure 0.6899273098437186 [0.888889,0.535714,0.810811,0.705882,0.684211,0.777778,0.424242,0.742857,0.888889,0.44] f_measure 0.6836610117265213 [0.857143,0.510638,0.863636,0.810811,0.571429,0.75,0.444444,0.736842,0.791667,0.5] f_measure 0.6656333150054081 [0.95,0.44,0.820513,0.666667,0.484848,0.761905,0.424242,0.790698,0.888889,0.428571] f_measure 0.6891395044581317 [0.974359,0.6,0.930233,0.777778,0.413793,0.782609,0.322581,0.8,0.909091,0.380952] f_measure 0.7337435321583317 [0.974359,0.583333,0.818182,0.894737,0.625,0.685714,0.571429,0.85,0.869565,0.465116] f_measure 0.7691693714588116 [0.974359,0.693878,0.871795,0.833333,0.580645,0.871795,0.540541,0.820513,0.909091,0.595745] f_measure 0.6785473198887835 [0.888889,0.618182,0.904762,0.571429,0.484848,0.829268,0.285714,0.777778,0.888889,0.535714] f_measure 0.6497399841245342 [0.857143,0.693878,0.772727,0.645161,0.685714,0.947368,0.285714,0.666667,0.734694,0.208333] kappa 0.6222222222222222 kappa 0.6777777777777777 kappa 0.6444444444444445 kappa 0.65 kappa 0.6333333333333334 kappa 0.6722222222222222 kappa 0.7055555555555556 kappa 0.7444444444444445 kappa 0.6555555555555556 kappa 0.6055555555555556 kb_relative_information_score 128.88849064187437 kb_relative_information_score 139.34606554748115 kb_relative_information_score 133.0715206041171 kb_relative_information_score 134.11727809467777 kb_relative_information_score 130.98000562299575 kb_relative_information_score 138.30030805692047 kb_relative_information_score 144.57485300028452 kb_relative_information_score 151.89515543420927 kb_relative_information_score 135.16303558523842 kb_relative_information_score 125.75121817019237 mean_absolute_error 0.06799999999999992 mean_absolute_error 0.057999999999999954 mean_absolute_error 0.06399999999999993 mean_absolute_error 0.06299999999999993 mean_absolute_error 0.06599999999999992 mean_absolute_error 0.05899999999999995 mean_absolute_error 0.05299999999999997 mean_absolute_error 0.046 mean_absolute_error 0.06199999999999994 mean_absolute_error 0.07099999999999991 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 0.6932259669366115 [1,0.535714,0.6,1,0.923077,0.904762,0.2,0.818182,0.689655,0.26087] precision 0.7557552906354897 [1,0.5,0.782609,1,1,0.842105,0.470588,0.75,0.730769,0.481481] precision 0.732517955900309 [1,0.416667,0.882353,0.857143,0.722222,0.875,0.538462,0.866667,0.8,0.366667] precision 0.6991479925303454 [1,0.444444,0.791667,0.882353,0.666667,0.75,0.5,0.777778,0.678571,0.5] precision 0.6834266000970807 [0.95,0.366667,0.842105,0.846154,0.615385,0.727273,0.538462,0.73913,0.8,0.409091] precision 0.7055054727880815 [1,0.5,0.869565,0.875,0.666667,0.692308,0.454545,0.8,0.833333,0.363636] precision 0.7548457822370865 [1,0.5,0.75,0.944444,0.833333,0.8,0.666667,0.85,0.769231,0.434783] precision 0.7913554808071462 [1,0.586207,0.894737,0.9375,0.818182,0.894737,0.588235,0.842105,0.833333,0.518519] precision 0.7365925740925742 [1,0.485714,0.863636,1,0.615385,0.809524,0.5,0.875,0.8,0.416667] precision 0.6886225556053143 [1,0.586207,0.708333,0.909091,0.8,1,0.333333,0.75,0.62069,0.178571] predictive_accuracy 0.66 predictive_accuracy 0.71 predictive_accuracy 0.68 predictive_accuracy 0.685 predictive_accuracy 0.67 predictive_accuracy 0.705 predictive_accuracy 0.735 predictive_accuracy 0.77 predictive_accuracy 0.69 predictive_accuracy 0.645 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 0.66 [0.8,0.75,0.9,0.7,0.6,0.95,0.15,0.45,1,0.3] recall 0.71 [0.9,0.8,0.9,0.7,0.4,0.8,0.4,0.6,0.95,0.65] recall 0.68 [0.8,0.75,0.75,0.6,0.65,0.7,0.35,0.65,1,0.55] recall 0.685 [0.75,0.6,0.95,0.75,0.5,0.75,0.4,0.7,0.95,0.5] recall 0.67 [0.95,0.55,0.8,0.55,0.4,0.8,0.35,0.85,1,0.45] recall 0.705 [0.95,0.75,1,0.7,0.3,0.9,0.25,0.8,1,0.4] recall 0.735 [0.95,0.7,0.9,0.85,0.5,0.6,0.5,0.85,1,0.5] recall 0.77 [0.95,0.85,0.85,0.75,0.45,0.85,0.5,0.8,1,0.7] recall 0.69 [0.8,0.85,0.95,0.4,0.4,0.85,0.2,0.7,1,0.75] recall 0.645 [0.75,0.85,0.85,0.5,0.6,0.9,0.25,0.6,0.9,0.25] relative_absolute_error 0.3777777777777777 relative_absolute_error 0.32222222222222235 relative_absolute_error 0.35555555555555557 relative_absolute_error 0.35 relative_absolute_error 0.36666666666666664 relative_absolute_error 0.32777777777777783 relative_absolute_error 0.2944444444444446 relative_absolute_error 0.2555555555555558 relative_absolute_error 0.3444444444444445 relative_absolute_error 0.3944444444444444 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 0.2607680962081058 root_mean_squared_error 0.2408318915758458 root_mean_squared_error 0.2529822128134702 root_mean_squared_error 0.25099800796022254 root_mean_squared_error 0.25690465157330244 root_mean_squared_error 0.2428991560298223 root_mean_squared_error 0.2302172886644267 root_mean_squared_error 0.21447610589527216 root_mean_squared_error 0.2489979919597745 root_mean_squared_error 0.2664582518894844 root_relative_squared_error 0.8692269873603533 root_relative_squared_error 0.8027729719194865 root_relative_squared_error 0.8432740427115679 root_relative_squared_error 0.8366600265340756 root_relative_squared_error 0.8563488385776753 root_relative_squared_error 0.8096638534327415 root_relative_squared_error 0.7673909622147562 root_relative_squared_error 0.714920352984241 root_relative_squared_error 0.8299933065325821 root_relative_squared_error 0.8881941729649485 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 2846.29059999952 usercpu_time_millis 2923.8466509996215 usercpu_time_millis 3605.404515000373 usercpu_time_millis 3786.328534999484 usercpu_time_millis 3811.1547190001147 usercpu_time_millis 3597.3001600004864 usercpu_time_millis 3720.4540069997165 usercpu_time_millis 3709.357744999579 usercpu_time_millis 3874.856759999602 usercpu_time_millis 3792.0939480000015 usercpu_time_millis_testing 47.20582400022977 usercpu_time_millis_testing 45.66368399991916 usercpu_time_millis_testing 59.86308800038387 usercpu_time_millis_testing 54.7772289992281 usercpu_time_millis_testing 52.853461000268 usercpu_time_millis_testing 45.25936800018826 usercpu_time_millis_testing 54.16768299983232 usercpu_time_millis_testing 53.302579000046535 usercpu_time_millis_testing 54.152067999893916 usercpu_time_millis_testing 53.30823600070289 usercpu_time_millis_training 2799.0847759992903 usercpu_time_millis_training 2878.1829669997023 usercpu_time_millis_training 3545.541426999989 usercpu_time_millis_training 3731.551306000256 usercpu_time_millis_training 3758.3012579998467 usercpu_time_millis_training 3552.040792000298 usercpu_time_millis_training 3666.286323999884 usercpu_time_millis_training 3656.0551659995326 usercpu_time_millis_training 3820.7046919997083 usercpu_time_millis_training 3738.7857119992987