Task
Supervised Classification on chscase_census4

Supervised Classification on chscase_census4

Task 4475 Supervised Classification chscase_census4 217 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

217 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3697, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4596, f_measure: 0.4696, kappa: -0.0561, kb_relative_information_score: -78.4456, mean_absolute_error: 0.5078, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4715, predictive_accuracy: 0.4753, prior_entropy: 0.9994, recall: 0.4753, relative_absolute_error: 1.0165, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5235, root_relative_squared_error: 1.0474, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4766, f_measure: 0.4828, kappa: -0.0329, kb_relative_information_score: -60.4446, mean_absolute_error: 0.5058, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4837, predictive_accuracy: 0.486, prior_entropy: 0.9994, recall: 0.486, relative_absolute_error: 1.0126, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.0839, scimark_benchmark: 934.3687, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.4566, kappa: -0.02, kb_relative_information_score: -17.1882, mean_absolute_error: 0.5015, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4865, predictive_accuracy: 0.4985, prior_entropy: 0.9994, recall: 0.4985, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.7082, root_relative_squared_error: 1.417, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.4566, kappa: -0.02, kb_relative_information_score: -17.1882, mean_absolute_error: 0.5015, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4865, predictive_accuracy: 0.4985, prior_entropy: 0.9994, recall: 0.4985, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.7082, root_relative_squared_error: 1.417, scimark_benchmark: 916.0735, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4851, f_measure: 0.4828, kappa: -0.0354, kb_relative_information_score: -33.8321, mean_absolute_error: 0.5027, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4827, predictive_accuracy: 0.4835, prior_entropy: 0.9994, recall: 0.4835, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5219, root_relative_squared_error: 1.0442, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.494, kappa: -0.0105, kb_relative_information_score: 7.4489, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4951, predictive_accuracy: 0.4973, prior_entropy: 0.9994, recall: 0.4973, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0202, scimark_benchmark: 932.2692, usercpu_time_millis: 6200, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 6170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3972, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.4566, kappa: -0.02, kb_relative_information_score: -17.1882, mean_absolute_error: 0.5015, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4865, predictive_accuracy: 0.4985, prior_entropy: 0.9994, recall: 0.4985, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.7082, root_relative_squared_error: 1.417, scimark_benchmark: 936.3373, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.4566, kappa: -0.02, kb_relative_information_score: -17.1882, mean_absolute_error: 0.5015, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4865, predictive_accuracy: 0.4985, prior_entropy: 0.9994, recall: 0.4985, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.7082, root_relative_squared_error: 1.417, scimark_benchmark: 944.1783, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4903, f_measure: 0.4939, kappa: -0.0123, kb_relative_information_score: -25.1515, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4943, predictive_accuracy: 0.4958, prior_entropy: 0.9994, recall: 0.4958, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5184, root_relative_squared_error: 1.0373, scimark_benchmark: 937.5117, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3697, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4596, f_measure: 0.4696, kappa: -0.0561, kb_relative_information_score: -78.4456, mean_absolute_error: 0.5078, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4715, predictive_accuracy: 0.4753, prior_entropy: 0.9994, recall: 0.4753, relative_absolute_error: 1.0165, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5235, root_relative_squared_error: 1.0474, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4766, f_measure: 0.4828, kappa: -0.0329, kb_relative_information_score: -60.4446, mean_absolute_error: 0.5058, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4837, predictive_accuracy: 0.486, prior_entropy: 0.9994, recall: 0.486, relative_absolute_error: 1.0126, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.0839, scimark_benchmark: 938.1282, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.4566, kappa: -0.02, kb_relative_information_score: -17.1882, mean_absolute_error: 0.5015, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4865, predictive_accuracy: 0.4985, prior_entropy: 0.9994, recall: 0.4985, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.7082, root_relative_squared_error: 1.417, scimark_benchmark: 904.5548, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4851, f_measure: 0.4828, kappa: -0.0354, kb_relative_information_score: -33.8321, mean_absolute_error: 0.5027, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4827, predictive_accuracy: 0.4835, prior_entropy: 0.9994, recall: 0.4835, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5219, root_relative_squared_error: 1.0442, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.494, kappa: -0.0105, kb_relative_information_score: 7.4489, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4951, predictive_accuracy: 0.4973, prior_entropy: 0.9994, recall: 0.4973, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0202, scimark_benchmark: 938.4601, usercpu_time_millis: 5120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3972, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4903, f_measure: 0.4939, kappa: -0.0123, kb_relative_information_score: -25.1515, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4943, predictive_accuracy: 0.4958, prior_entropy: 0.9994, recall: 0.4958, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5184, root_relative_squared_error: 1.0373, scimark_benchmark: 938.988, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4762, f_measure: 0.3553, kappa: -0.0055, kb_relative_information_score: -1.8927, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4377, predictive_accuracy: 0.512, prior_entropy: 0.9994, recall: 0.512, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0004, scimark_benchmark: 943.6618, usercpu_time_millis: 1210, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4866, f_measure: 0.3533, kappa: -0.0086, kb_relative_information_score: -1.4171, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4027, predictive_accuracy: 0.5105, prior_entropy: 0.9994, recall: 0.5105, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0004, scimark_benchmark: 934.695, usercpu_time_millis: 440, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4745, f_measure: 0.3602, kappa: -0.0091, kb_relative_information_score: -2.4031, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4444, predictive_accuracy: 0.51, prior_entropy: 0.9994, recall: 0.51, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0006, scimark_benchmark: 593.4115, usercpu_time_millis: 240, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4721, f_measure: 0.364, kappa: -0.0112, kb_relative_information_score: -3.0871, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4485, predictive_accuracy: 0.5088, prior_entropy: 0.9994, recall: 0.5088, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0007, scimark_benchmark: 906.8974, usercpu_time_millis: 120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.486, f_measure: 0.365, kappa: -0.0073, kb_relative_information_score: -3.177, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4643, predictive_accuracy: 0.5108, prior_entropy: 0.9994, recall: 0.5108, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0008, scimark_benchmark: 914.3583, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4512, f_measure: 0.4687, kappa: -0.0637, kb_relative_information_score: -152.1423, mean_absolute_error: 0.5167, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4685, predictive_accuracy: 0.4695, prior_entropy: 0.9994, recall: 0.4695, relative_absolute_error: 1.0343, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5463, root_relative_squared_error: 1.0931, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4512, f_measure: 0.4687, kappa: -0.0637, kb_relative_information_score: -152.1423, mean_absolute_error: 0.5167, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4685, predictive_accuracy: 0.4695, prior_entropy: 0.9994, recall: 0.4695, relative_absolute_error: 1.0343, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5463, root_relative_squared_error: 1.0931, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4508, f_measure: 0.4699, kappa: -0.0612, kb_relative_information_score: -153.7329, mean_absolute_error: 0.5169, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4698, predictive_accuracy: 0.4708, prior_entropy: 0.9994, recall: 0.4708, relative_absolute_error: 1.0347, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5463, root_relative_squared_error: 1.0931, scimark_benchmark: 894.7131, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4499, f_measure: 0.4694, kappa: -0.0622, kb_relative_information_score: -155.2991, mean_absolute_error: 0.5171, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4693, predictive_accuracy: 0.4703, prior_entropy: 0.9994, recall: 0.4703, relative_absolute_error: 1.0351, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.545, root_relative_squared_error: 1.0905, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4605, f_measure: 0.4801, kappa: -0.0409, kb_relative_information_score: -119.9532, mean_absolute_error: 0.5131, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.48, predictive_accuracy: 0.4808, prior_entropy: 0.9994, recall: 0.4808, relative_absolute_error: 1.0271, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5353, root_relative_squared_error: 1.0711, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3972, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4539, f_measure: 0.4733, kappa: -0.0511, kb_relative_information_score: -168.3268, mean_absolute_error: 0.5193, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4744, predictive_accuracy: 0.4773, prior_entropy: 0.9994, recall: 0.4773, relative_absolute_error: 1.0395, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5811, root_relative_squared_error: 1.1627, scimark_benchmark: 938.3115, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4466, f_measure: 0.4632, kappa: -0.0711, kb_relative_information_score: -187.1637, mean_absolute_error: 0.5208, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4641, predictive_accuracy: 0.4673, prior_entropy: 0.9994, recall: 0.4673, relative_absolute_error: 1.0426, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5717, root_relative_squared_error: 1.1439, scimark_benchmark: 936.1714, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4468, f_measure: 0.4641, kappa: -0.0664, kb_relative_information_score: -167.9561, mean_absolute_error: 0.5183, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4661, predictive_accuracy: 0.4703, prior_entropy: 0.9994, recall: 0.4703, relative_absolute_error: 1.0376, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5601, root_relative_squared_error: 1.1206, scimark_benchmark: 941.9549, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4494, f_measure: 0.4633, kappa: -0.0704, kb_relative_information_score: -141.8797, mean_absolute_error: 0.5148, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4644, predictive_accuracy: 0.4678, prior_entropy: 0.9994, recall: 0.4678, relative_absolute_error: 1.0305, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5474, root_relative_squared_error: 1.0952, scimark_benchmark: 938.3115, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4547, f_measure: 0.4612, kappa: -0.0627, kb_relative_information_score: -108.6135, mean_absolute_error: 0.5111, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4666, predictive_accuracy: 0.4735, prior_entropy: 0.9994, recall: 0.4735, relative_absolute_error: 1.0232, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5364, root_relative_squared_error: 1.0734, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3501, kb_relative_information_score: 114.9817, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6964, root_relative_squared_error: 1.3935, scimark_benchmark: 922.8232, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3697, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 922.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4809, f_measure: 0.3501, kb_relative_information_score: -4.7819, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0004, scimark_benchmark: 931.7994, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4778, f_measure: 0.4835, kappa: -0.0312, kb_relative_information_score: -30.9956, mean_absolute_error: 0.5025, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4846, predictive_accuracy: 0.487, prior_entropy: 0.9994, recall: 0.487, relative_absolute_error: 1.006, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0148, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3697, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 923.509, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4596, f_measure: 0.4696, kappa: -0.0561, kb_relative_information_score: -78.4456, mean_absolute_error: 0.5078, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4715, predictive_accuracy: 0.4753, prior_entropy: 0.9994, recall: 0.4753, relative_absolute_error: 1.0165, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5235, root_relative_squared_error: 1.0474, scimark_benchmark: 923.509, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4766, f_measure: 0.4828, kappa: -0.0329, kb_relative_information_score: -60.4446, mean_absolute_error: 0.5058, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4837, predictive_accuracy: 0.486, prior_entropy: 0.9994, recall: 0.486, relative_absolute_error: 1.0126, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.0839, scimark_benchmark: 869.7548, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.4566, kappa: -0.02, kb_relative_information_score: -17.1882, mean_absolute_error: 0.5015, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4865, predictive_accuracy: 0.4985, prior_entropy: 0.9994, recall: 0.4985, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.7082, root_relative_squared_error: 1.417, scimark_benchmark: 938.5476, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4851, f_measure: 0.4828, kappa: -0.0354, kb_relative_information_score: -33.8321, mean_absolute_error: 0.5027, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4827, predictive_accuracy: 0.4835, prior_entropy: 0.9994, recall: 0.4835, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5219, root_relative_squared_error: 1.0442, scimark_benchmark: 946.9304, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.494, kappa: -0.0105, kb_relative_information_score: 7.4489, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4951, predictive_accuracy: 0.4973, prior_entropy: 0.9994, recall: 0.4973, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0202, scimark_benchmark: 890.5596, usercpu_time_millis: 6210, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 6180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 890.5596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3972, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 942.3809, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4903, f_measure: 0.4939, kappa: -0.0123, kb_relative_information_score: -25.1515, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4943, predictive_accuracy: 0.4958, prior_entropy: 0.9994, recall: 0.4958, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5184, root_relative_squared_error: 1.0373, scimark_benchmark: 942.3809, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3697, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 915.9028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4596, f_measure: 0.4696, kappa: -0.0561, kb_relative_information_score: -78.4456, mean_absolute_error: 0.5078, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4715, predictive_accuracy: 0.4753, prior_entropy: 0.9994, recall: 0.4753, relative_absolute_error: 1.0165, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5235, root_relative_squared_error: 1.0474, scimark_benchmark: 923.2645, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.4566, kappa: -0.02, kb_relative_information_score: -17.1882, mean_absolute_error: 0.5015, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4865, predictive_accuracy: 0.4985, prior_entropy: 0.9994, recall: 0.4985, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.7082, root_relative_squared_error: 1.417, scimark_benchmark: 1333.335, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.4566, kappa: -0.02, kb_relative_information_score: -17.1882, mean_absolute_error: 0.5015, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4865, predictive_accuracy: 0.4985, prior_entropy: 0.9994, recall: 0.4985, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.7082, root_relative_squared_error: 1.417, scimark_benchmark: 934.4732, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4851, f_measure: 0.4828, kappa: -0.0354, kb_relative_information_score: -33.8321, mean_absolute_error: 0.5027, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4827, predictive_accuracy: 0.4835, prior_entropy: 0.9994, recall: 0.4835, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5219, root_relative_squared_error: 1.0442, scimark_benchmark: 1332.1612, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1354.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1292.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1346.2927, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1342.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1353.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4851, f_measure: 0.4828, kappa: -0.0354, kb_relative_information_score: -33.8321, mean_absolute_error: 0.5027, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4827, predictive_accuracy: 0.4835, prior_entropy: 0.9994, recall: 0.4835, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5219, root_relative_squared_error: 1.0442, scimark_benchmark: 1353.0836, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1286.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1324.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.494, kappa: -0.0105, kb_relative_information_score: 7.4505, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4951, predictive_accuracy: 0.4973, prior_entropy: 0.9994, recall: 0.4973, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0202, scimark_benchmark: 1318.6467, usercpu_time_millis: 5710, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1306.8702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4596, f_measure: 0.4696, kappa: -0.0561, kb_relative_information_score: -78.4456, mean_absolute_error: 0.5078, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4715, predictive_accuracy: 0.4753, prior_entropy: 0.9994, recall: 0.4753, relative_absolute_error: 1.0165, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5235, root_relative_squared_error: 1.0474, scimark_benchmark: 1350.7721, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1327.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3972, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1324.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4903, f_measure: 0.4939, kappa: -0.0123, kb_relative_information_score: -25.1515, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4943, predictive_accuracy: 0.4958, prior_entropy: 0.9994, recall: 0.4958, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5184, root_relative_squared_error: 1.0373, scimark_benchmark: 1346.2927, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4596, f_measure: 0.4696, kappa: -0.0561, kb_relative_information_score: -78.4456, mean_absolute_error: 0.5078, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4715, predictive_accuracy: 0.4753, prior_entropy: 0.9994, recall: 0.4753, relative_absolute_error: 1.0165, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5235, root_relative_squared_error: 1.0474, scimark_benchmark: 1320.8283, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3512, kappa: -0.0009, kb_relative_information_score: 110.9765, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.447, predictive_accuracy: 0.5145, prior_entropy: 0.9994, recall: 0.5145, relative_absolute_error: 0.9719, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6968, root_relative_squared_error: 1.3942, scimark_benchmark: 1319.5773, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs