Task
Supervised Classification on disclosure_x_tampered

Supervised Classification on disclosure_x_tampered

Task 4365 Supervised Classification disclosure_x_tampered 228 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.3401, kb_relative_information_score: -0.1816, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.2561, predictive_accuracy: 0.506, prior_entropy: 0.9999, recall: 0.506, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, f_measure: 0.5004, kappa: 0.0069, kb_relative_information_score: 19.4534, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.5036, predictive_accuracy: 0.5045, prior_entropy: 0.9999, recall: 0.5045, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5069, root_relative_squared_error: 1.0139, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4875, f_measure: 0.4969, kappa: -0.0017, kb_relative_information_score: -17.7428, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.4992, predictive_accuracy: 0.5002, prior_entropy: 0.9999, recall: 0.5002, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5229, root_relative_squared_error: 1.0458, scimark_benchmark: 934.3687, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, f_measure: 0.5115, kappa: 0.0242, kb_relative_information_score: 154.6419, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.5122, predictive_accuracy: 0.5118, prior_entropy: 0.9999, recall: 0.5118, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6987, root_relative_squared_error: 1.3976, scimark_benchmark: 944.1067, usercpu_time_millis: 140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, f_measure: 0.5115, kappa: 0.0242, kb_relative_information_score: 154.6419, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.5122, predictive_accuracy: 0.5118, prior_entropy: 0.9999, recall: 0.5118, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6987, root_relative_squared_error: 1.3976, scimark_benchmark: 916.0735, usercpu_time_millis: 150, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.3401, kb_relative_information_score: -0.1838, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.2561, predictive_accuracy: 0.506, prior_entropy: 0.9999, recall: 0.506, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.3401, kb_relative_information_score: -0.1838, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.2561, predictive_accuracy: 0.506, prior_entropy: 0.9999, recall: 0.506, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5057, f_measure: 0.4991, kappa: -0.0015, kb_relative_information_score: 41.351, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.4993, predictive_accuracy: 0.4997, prior_entropy: 0.9999, recall: 0.4997, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.043, scimark_benchmark: 938.191, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5226, f_measure: 0.5109, kappa: 0.0384, kb_relative_information_score: 75.2445, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.5208, predictive_accuracy: 0.5208, prior_entropy: 0.9999, recall: 0.5208, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003, scimark_benchmark: 934.2976, usercpu_time_millis: 2940, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4846, f_measure: 0.3538, kappa: -0.0104, kb_relative_information_score: -15.828, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.4475, predictive_accuracy: 0.5006, prior_entropy: 0.9999, recall: 0.5006, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0037, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, f_measure: 0.5115, kappa: 0.0242, kb_relative_information_score: 154.6419, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.5122, predictive_accuracy: 0.5118, prior_entropy: 0.9999, recall: 0.5118, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6987, root_relative_squared_error: 1.3976, scimark_benchmark: 941.3847, usercpu_time_millis: 150, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, f_measure: 0.5115, kappa: 0.0242, kb_relative_information_score: 154.6419, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.5122, predictive_accuracy: 0.5118, prior_entropy: 0.9999, recall: 0.5118, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6987, root_relative_squared_error: 1.3976, scimark_benchmark: 941.3847, usercpu_time_millis: 150, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.3401, kb_relative_information_score: -0.1838, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.2561, predictive_accuracy: 0.506, prior_entropy: 0.9999, recall: 0.506, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.3401, kb_relative_information_score: -0.1838, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.2561, predictive_accuracy: 0.506, prior_entropy: 0.9999, recall: 0.506, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.3401, kb_relative_information_score: -0.1838, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.2561, predictive_accuracy: 0.506, prior_entropy: 0.9999, recall: 0.506, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4948, f_measure: 0.4891, kappa: -0.0218, kb_relative_information_score: -3.3797, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.4892, predictive_accuracy: 0.4894, prior_entropy: 0.9999, recall: 0.4894, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5323, root_relative_squared_error: 1.0647, scimark_benchmark: 947.1781, usercpu_time_millis: 340, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.3401, kb_relative_information_score: -0.1816, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.2561, predictive_accuracy: 0.506, prior_entropy: 0.9999, recall: 0.506, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, f_measure: 0.5004, kappa: 0.0069, kb_relative_information_score: 19.4534, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.5036, predictive_accuracy: 0.5045, prior_entropy: 0.9999, recall: 0.5045, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5069, root_relative_squared_error: 1.0139, scimark_benchmark: 908.9569, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4875, f_measure: 0.4969, kappa: -0.0017, kb_relative_information_score: -17.7428, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.4992, predictive_accuracy: 0.5002, prior_entropy: 0.9999, recall: 0.5002, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5229, root_relative_squared_error: 1.0458, scimark_benchmark: 936.2574, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, f_measure: 0.5115, kappa: 0.0242, kb_relative_information_score: 154.6419, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.5122, predictive_accuracy: 0.5118, prior_entropy: 0.9999, recall: 0.5118, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6987, root_relative_squared_error: 1.3976, scimark_benchmark: 927.2882, usercpu_time_millis: 140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, f_measure: 0.5115, kappa: 0.0242, kb_relative_information_score: 154.6419, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.5122, predictive_accuracy: 0.5118, prior_entropy: 0.9999, recall: 0.5118, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6987, root_relative_squared_error: 1.3976, scimark_benchmark: 934.5964, usercpu_time_millis: 150, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.3401, kb_relative_information_score: -0.1838, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.2561, predictive_accuracy: 0.506, prior_entropy: 0.9999, recall: 0.506, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5057, f_measure: 0.4991, kappa: -0.0015, kb_relative_information_score: 41.351, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.4993, predictive_accuracy: 0.4997, prior_entropy: 0.9999, recall: 0.4997, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.043, scimark_benchmark: 903.2737, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5226, f_measure: 0.5109, kappa: 0.0384, kb_relative_information_score: 75.2445, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.5208, predictive_accuracy: 0.5208, prior_entropy: 0.9999, recall: 0.5208, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003, scimark_benchmark: 919.3788, usercpu_time_millis: 3290, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 3240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.3401, kb_relative_information_score: -0.1838, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.2561, predictive_accuracy: 0.506, prior_entropy: 0.9999, recall: 0.506, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4846, f_measure: 0.3538, kappa: -0.0104, kb_relative_information_score: -15.828, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.4475, predictive_accuracy: 0.5006, prior_entropy: 0.9999, recall: 0.5006, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0037, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4948, f_measure: 0.4891, kappa: -0.0218, kb_relative_information_score: -3.3797, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.4892, predictive_accuracy: 0.4894, prior_entropy: 0.9999, recall: 0.4894, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5323, root_relative_squared_error: 1.0647, scimark_benchmark: 730.6551, usercpu_time_millis: 350, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, f_measure: 0.4291, kappa: -0.0095, kb_relative_information_score: -5.7894, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.4909, predictive_accuracy: 0.4995, prior_entropy: 0.9999, recall: 0.4995, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0011, scimark_benchmark: 934.695, usercpu_time_millis: 540, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, f_measure: 0.4335, kappa: -0.0012, kb_relative_information_score: -6.961, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.4989, predictive_accuracy: 0.5036, prior_entropy: 0.9999, recall: 0.5036, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0013, scimark_benchmark: 943.6618, usercpu_time_millis: 250, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.4332, kappa: -0.0033, kb_relative_information_score: -4.9772, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.4969, predictive_accuracy: 0.5026, prior_entropy: 0.9999, recall: 0.5026, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0011, scimark_benchmark: 942.5233, usercpu_time_millis: 130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.4425, kappa: -0.0025, kb_relative_information_score: -6.5871, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.4979, predictive_accuracy: 0.5027, prior_entropy: 0.9999, recall: 0.5027, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0013, scimark_benchmark: 945.0448, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, f_measure: 0.4384, kappa: -0.0042, kb_relative_information_score: -6.336, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.4963, predictive_accuracy: 0.502, prior_entropy: 0.9999, recall: 0.502, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0014, scimark_benchmark: 919.7824, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5215, f_measure: 0.5212, kappa: 0.0499, kb_relative_information_score: 109.3366, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.526, predictive_accuracy: 0.5261, prior_entropy: 0.9999, recall: 0.5261, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5087, root_relative_squared_error: 1.0174, scimark_benchmark: 889.4922, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5215, f_measure: 0.5212, kappa: 0.0499, kb_relative_information_score: 109.3366, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.526, predictive_accuracy: 0.5261, prior_entropy: 0.9999, recall: 0.5261, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5087, root_relative_squared_error: 1.0174, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5215, f_measure: 0.5212, kappa: 0.0499, kb_relative_information_score: 109.3366, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.526, predictive_accuracy: 0.5261, prior_entropy: 0.9999, recall: 0.5261, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5087, root_relative_squared_error: 1.0174, scimark_benchmark: 889.4922, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5215, f_measure: 0.5212, kappa: 0.0499, kb_relative_information_score: 109.3366, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.526, predictive_accuracy: 0.5261, prior_entropy: 0.9999, recall: 0.5261, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5087, root_relative_squared_error: 1.0174, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5215, f_measure: 0.5212, kappa: 0.0499, kb_relative_information_score: 109.3366, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.526, predictive_accuracy: 0.5261, prior_entropy: 0.9999, recall: 0.5261, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5087, root_relative_squared_error: 1.0174, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.3401, kb_relative_information_score: -0.1857, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.2561, predictive_accuracy: 0.506, prior_entropy: 0.9999, recall: 0.506, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.3401, kb_relative_information_score: -0.1838, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.2561, predictive_accuracy: 0.506, prior_entropy: 0.9999, recall: 0.506, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1346.2927,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.3401, kb_relative_information_score: -0.1838, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.2561, predictive_accuracy: 0.506, prior_entropy: 0.9999, recall: 0.506, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, f_measure: 0.5115, kappa: 0.0242, kb_relative_information_score: 154.6419, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.5122, predictive_accuracy: 0.5118, prior_entropy: 0.9999, recall: 0.5118, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6987, root_relative_squared_error: 1.3976, scimark_benchmark: 1393.8432, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.3401, kb_relative_information_score: -0.1838, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.2561, predictive_accuracy: 0.506, prior_entropy: 0.9999, recall: 0.506, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.3401, kb_relative_information_score: -0.1838, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.2561, predictive_accuracy: 0.506, prior_entropy: 0.9999, recall: 0.506, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.3401, kb_relative_information_score: -0.1838, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.2561, predictive_accuracy: 0.506, prior_entropy: 0.9999, recall: 0.506, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5057, f_measure: 0.4991, kappa: -0.0015, kb_relative_information_score: 41.351, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.4993, predictive_accuracy: 0.4997, prior_entropy: 0.9999, recall: 0.4997, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.043, scimark_benchmark: 908.2231, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4948, f_measure: 0.4891, kappa: -0.0218, kb_relative_information_score: -3.3797, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.4892, predictive_accuracy: 0.4894, prior_entropy: 0.9999, recall: 0.4894, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5323, root_relative_squared_error: 1.0647, scimark_benchmark: 1331.7953, usercpu_time_millis: 230, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, f_measure: 0.5004, kappa: 0.0069, kb_relative_information_score: 19.4534, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.5036, predictive_accuracy: 0.5045, prior_entropy: 0.9999, recall: 0.5045, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5069, root_relative_squared_error: 1.0139, scimark_benchmark: 1339.6197, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.3401, kb_relative_information_score: -0.1838, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.2561, predictive_accuracy: 0.506, prior_entropy: 0.9999, recall: 0.506, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.3401, kb_relative_information_score: -0.1838, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.2561, predictive_accuracy: 0.506, prior_entropy: 0.9999, recall: 0.506, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.3401, kb_relative_information_score: -0.1838, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.2561, predictive_accuracy: 0.506, prior_entropy: 0.9999, recall: 0.506, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5057, f_measure: 0.4991, kappa: -0.0015, kb_relative_information_score: 41.351, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.4993, predictive_accuracy: 0.4997, prior_entropy: 0.9999, recall: 0.4997, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.043, scimark_benchmark: 1350.2591, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5226, f_measure: 0.5109, kappa: 0.0384, kb_relative_information_score: 75.2445, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.5208, predictive_accuracy: 0.5208, prior_entropy: 0.9999, recall: 0.5208, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003, scimark_benchmark: 1309.0674, usercpu_time_millis: 2720, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4846, f_measure: 0.3538, kappa: -0.0104, kb_relative_information_score: -15.828, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.4475, predictive_accuracy: 0.5006, prior_entropy: 0.9999, recall: 0.5006, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0037, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.3401, kb_relative_information_score: -0.1816, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.2561, predictive_accuracy: 0.506, prior_entropy: 0.9999, recall: 0.506, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.3401, kb_relative_information_score: -0.1838, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.2561, predictive_accuracy: 0.506, prior_entropy: 0.9999, recall: 0.506, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1333.6736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.3401, kb_relative_information_score: -0.1838, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.2561, predictive_accuracy: 0.506, prior_entropy: 0.9999, recall: 0.506, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.3401, kb_relative_information_score: -0.1838, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.2561, predictive_accuracy: 0.506, prior_entropy: 0.9999, recall: 0.506, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.3401, kb_relative_information_score: -0.1838, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 6620, precision: 0.2561, predictive_accuracy: 0.506, prior_entropy: 0.9999, recall: 0.506, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1319.4538,

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