Task
Supervised Classification on analcatdata_broadwaymult

Supervised Classification on analcatdata_broadwaymult

Task 4249 Supervised Classification analcatdata_broadwaymult 173 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7413, f_measure: 0.4681, kappa: 0.3853, kb_relative_information_score: 849.1083, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.4158, predictive_accuracy: 0.5551, prior_entropy: 2.4897, recall: 0.5551, relative_absolute_error: 0.7913, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.9036, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7765, f_measure: 0.4754, kappa: 0.3507, kb_relative_information_score: 884.0629, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.4527, predictive_accuracy: 0.5246, prior_entropy: 2.4897, recall: 0.5246, relative_absolute_error: 0.7821, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.9116, scimark_benchmark: 934.3687, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5991, f_measure: 0.2915, kappa: 0.0872, kb_relative_information_score: 432.4628, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.2678, predictive_accuracy: 0.3207, prior_entropy: 2.4897, recall: 0.3207, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3924, root_relative_squared_error: 1.1838, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5991, f_measure: 0.2915, kappa: 0.0872, kb_relative_information_score: 432.4628, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.2678, predictive_accuracy: 0.3207, prior_entropy: 2.4897, recall: 0.3207, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3924, root_relative_squared_error: 1.1838, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4469, f_measure: 0.2072, kappa: -0.0443, kb_relative_information_score: 208.906, mean_absolute_error: 0.2263, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.2039, predictive_accuracy: 0.2116, prior_entropy: 2.4897, recall: 0.2116, relative_absolute_error: 1.0273, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3951, root_relative_squared_error: 1.1922, scimark_benchmark: 938.191, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.4809, kappa: 0.3644, kb_relative_information_score: 786.7988, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.4733, predictive_accuracy: 0.5407, prior_entropy: 2.4897, recall: 0.5407, relative_absolute_error: 0.8373, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.9116, scimark_benchmark: 927.2917, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2425, kb_relative_information_score: 508.6424, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.1714, predictive_accuracy: 0.414, prior_entropy: 2.4897, recall: 0.414, relative_absolute_error: 0.7599, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.4092, root_relative_squared_error: 1.2345, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5991, f_measure: 0.2915, kappa: 0.0872, kb_relative_information_score: 432.4628, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.2678, predictive_accuracy: 0.3207, prior_entropy: 2.4897, recall: 0.3207, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3924, root_relative_squared_error: 1.1838, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5991, f_measure: 0.2915, kappa: 0.0872, kb_relative_information_score: 432.4628, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.2678, predictive_accuracy: 0.3207, prior_entropy: 2.4897, recall: 0.3207, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3924, root_relative_squared_error: 1.1838, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6539, f_measure: 0.3014, kappa: 0.0695, kb_relative_information_score: 453.0733, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.2712, predictive_accuracy: 0.3632, prior_entropy: 2.4897, recall: 0.3632, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3316, root_relative_squared_error: 1.0004, scimark_benchmark: 943.1009, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7413, f_measure: 0.4681, kappa: 0.3853, kb_relative_information_score: 849.1083, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.4158, predictive_accuracy: 0.5551, prior_entropy: 2.4897, recall: 0.5551, relative_absolute_error: 0.7913, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.9036, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7765, f_measure: 0.4754, kappa: 0.3507, kb_relative_information_score: 884.0629, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.4527, predictive_accuracy: 0.5246, prior_entropy: 2.4897, recall: 0.5246, relative_absolute_error: 0.7821, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.9116, scimark_benchmark: 938.1282, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2425, kb_relative_information_score: 508.6424, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.1714, predictive_accuracy: 0.414, prior_entropy: 2.4897, recall: 0.414, relative_absolute_error: 0.7599, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.4092, root_relative_squared_error: 1.2345, scimark_benchmark: 927.2882, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2425, kb_relative_information_score: 508.6424, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.1714, predictive_accuracy: 0.414, prior_entropy: 2.4897, recall: 0.414, relative_absolute_error: 0.7599, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.4092, root_relative_squared_error: 1.2345, scimark_benchmark: 906.0979, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5991, f_measure: 0.2915, kappa: 0.0872, kb_relative_information_score: 432.4628, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.2678, predictive_accuracy: 0.3207, prior_entropy: 2.4897, recall: 0.3207, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3924, root_relative_squared_error: 1.1838, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5991, f_measure: 0.2915, kappa: 0.0872, kb_relative_information_score: 432.4628, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.2678, predictive_accuracy: 0.3207, prior_entropy: 2.4897, recall: 0.3207, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3924, root_relative_squared_error: 1.1838, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5991, f_measure: 0.2915, kappa: 0.0872, kb_relative_information_score: 432.4628, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.2678, predictive_accuracy: 0.3207, prior_entropy: 2.4897, recall: 0.3207, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3924, root_relative_squared_error: 1.1838, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4469, f_measure: 0.2072, kappa: -0.0443, kb_relative_information_score: 208.906, mean_absolute_error: 0.2263, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.2039, predictive_accuracy: 0.2116, prior_entropy: 2.4897, recall: 0.2116, relative_absolute_error: 1.0273, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3951, root_relative_squared_error: 1.1922, scimark_benchmark: 903.2737, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5991, f_measure: 0.2915, kappa: 0.0872, kb_relative_information_score: 432.4628, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.2678, predictive_accuracy: 0.3207, prior_entropy: 2.4897, recall: 0.3207, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3924, root_relative_squared_error: 1.1838, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6539, f_measure: 0.3014, kappa: 0.0695, kb_relative_information_score: 453.0733, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.2712, predictive_accuracy: 0.3632, prior_entropy: 2.4897, recall: 0.3632, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3316, root_relative_squared_error: 1.0004, scimark_benchmark: 936.9595, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.4795, kappa: 0.3635, kb_relative_information_score: 948.6103, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.4634, predictive_accuracy: 0.5439, prior_entropy: 2.4897, recall: 0.5439, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.8752, scimark_benchmark: 870.2101, usercpu_time_millis: 12900, usercpu_time_millis_testing: 3040, usercpu_time_millis_training: 9860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.485, kappa: 0.3695, kb_relative_information_score: 954.8691, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.4676, predictive_accuracy: 0.5467, prior_entropy: 2.4897, recall: 0.5467, relative_absolute_error: 0.7768, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.8752, scimark_benchmark: 933.4823, usercpu_time_millis: 5460, usercpu_time_millis_testing: 1310, usercpu_time_millis_training: 4150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.4881, kappa: 0.3722, kb_relative_information_score: 944.7316, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.474, predictive_accuracy: 0.5477, prior_entropy: 2.4897, recall: 0.5477, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.292, root_relative_squared_error: 0.881, scimark_benchmark: 939.7241, usercpu_time_millis: 2230, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 1820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.4897, kappa: 0.3677, kb_relative_information_score: 950.5324, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.4748, predictive_accuracy: 0.5439, prior_entropy: 2.4897, recall: 0.5439, relative_absolute_error: 0.7754, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.2937, root_relative_squared_error: 0.8861, scimark_benchmark: 939.3535, usercpu_time_millis: 1340, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, f_measure: 0.4838, kappa: 0.3549, kb_relative_information_score: 954.2655, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.4664, predictive_accuracy: 0.5295, prior_entropy: 2.4897, recall: 0.5295, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.2974, root_relative_squared_error: 0.8972, scimark_benchmark: 935.6052, usercpu_time_millis: 620, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4709, f_measure: 0.2425, kb_relative_information_score: 4.936, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.1714, predictive_accuracy: 0.414, prior_entropy: 2.4897, recall: 0.414, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3315, root_relative_squared_error: 1.0002, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6504, f_measure: 0.3622, kappa: 0.2821, kb_relative_information_score: 655.9668, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.2855, predictive_accuracy: 0.5088, prior_entropy: 2.4897, recall: 0.5088, relative_absolute_error: 0.8646, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.9327, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6504, f_measure: 0.3622, kappa: 0.2821, kb_relative_information_score: 655.9668, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.2855, predictive_accuracy: 0.5088, prior_entropy: 2.4897, recall: 0.5088, relative_absolute_error: 0.8646, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.9327, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6504, f_measure: 0.3622, kappa: 0.2821, kb_relative_information_score: 655.9668, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.2855, predictive_accuracy: 0.5088, prior_entropy: 2.4897, recall: 0.5088, relative_absolute_error: 0.8646, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.9327, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6504, f_measure: 0.3622, kappa: 0.2821, kb_relative_information_score: 655.9668, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.2855, predictive_accuracy: 0.5088, prior_entropy: 2.4897, recall: 0.5088, relative_absolute_error: 0.8646, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.9327, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6504, f_measure: 0.3622, kappa: 0.2821, kb_relative_information_score: 655.9668, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.2855, predictive_accuracy: 0.5088, prior_entropy: 2.4897, recall: 0.5088, relative_absolute_error: 0.8646, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.9327, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2425, kb_relative_information_score: 508.6424, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.1714, predictive_accuracy: 0.414, prior_entropy: 2.4897, recall: 0.414, relative_absolute_error: 0.7599, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.4092, root_relative_squared_error: 1.2345, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7745, f_measure: 0.4123, kappa: 0.2955, kb_relative_information_score: 735.7422, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.4039, predictive_accuracy: 0.5084, prior_entropy: 2.4897, recall: 0.5084, relative_absolute_error: 0.8366, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.9108, scimark_benchmark: 942.6192, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5735, f_measure: 0.2915, kappa: 0.0686, kb_relative_information_score: 309.003, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.268, predictive_accuracy: 0.3249, prior_entropy: 2.4897, recall: 0.3249, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3415, root_relative_squared_error: 1.0303, scimark_benchmark: 906.0884, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.3605, kappa: 0.2778, kb_relative_information_score: 574.0125, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.2838, predictive_accuracy: 0.5067, prior_entropy: 2.4897, recall: 0.5067, relative_absolute_error: 0.8879, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.9317, scimark_benchmark: 943.4741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7413, f_measure: 0.4681, kappa: 0.3853, kb_relative_information_score: 849.1083, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.4158, predictive_accuracy: 0.5551, prior_entropy: 2.4897, recall: 0.5551, relative_absolute_error: 0.7913, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.9036, scimark_benchmark: 899.1108, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7765, f_measure: 0.4754, kappa: 0.3507, kb_relative_information_score: 884.0629, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.4527, predictive_accuracy: 0.5246, prior_entropy: 2.4897, recall: 0.5246, relative_absolute_error: 0.7821, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.9116, scimark_benchmark: 930.0565, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6539, f_measure: 0.3014, kappa: 0.0695, kb_relative_information_score: 453.0733, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.2712, predictive_accuracy: 0.3632, prior_entropy: 2.4897, recall: 0.3632, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3316, root_relative_squared_error: 1.0004, scimark_benchmark: 1342.6744, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5991, f_measure: 0.2915, kappa: 0.0872, kb_relative_information_score: 432.4628, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.2678, predictive_accuracy: 0.3207, prior_entropy: 2.4897, recall: 0.3207, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3924, root_relative_squared_error: 1.1838, scimark_benchmark: 1337.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.4809, kappa: 0.3644, kb_relative_information_score: 786.7988, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.4733, predictive_accuracy: 0.5407, prior_entropy: 2.4897, recall: 0.5407, relative_absolute_error: 0.8373, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.9116, scimark_benchmark: 1318.4315, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2425, kb_relative_information_score: 508.6424, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.1714, predictive_accuracy: 0.414, prior_entropy: 2.4897, recall: 0.414, relative_absolute_error: 0.7599, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.4092, root_relative_squared_error: 1.2345, scimark_benchmark: 1346.2761, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.4809, kappa: 0.3644, kb_relative_information_score: 786.7988, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.4733, predictive_accuracy: 0.5407, prior_entropy: 2.4897, recall: 0.5407, relative_absolute_error: 0.8373, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.9116, scimark_benchmark: 1354.3488, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.5059, kappa: 0.3854, kb_relative_information_score: 802.7358, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.5159, predictive_accuracy: 0.5491, prior_entropy: 2.4897, recall: 0.5491, relative_absolute_error: 0.8418, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.9135, scimark_benchmark: 1322.7257,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6539, f_measure: 0.3014, kappa: 0.0695, kb_relative_information_score: 453.0733, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.2712, predictive_accuracy: 0.3632, prior_entropy: 2.4897, recall: 0.3632, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3316, root_relative_squared_error: 1.0004, scimark_benchmark: 1322.7257, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2425, kb_relative_information_score: 508.6424, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.1714, predictive_accuracy: 0.414, prior_entropy: 2.4897, recall: 0.414, relative_absolute_error: 0.7599, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.4092, root_relative_squared_error: 1.2345, scimark_benchmark: 1315.933, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5991, f_measure: 0.2915, kappa: 0.0872, kb_relative_information_score: 432.4628, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.2678, predictive_accuracy: 0.3207, prior_entropy: 2.4897, recall: 0.3207, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3924, root_relative_squared_error: 1.1838, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.5059, kappa: 0.3854, kb_relative_information_score: 802.7358, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.5159, predictive_accuracy: 0.5491, prior_entropy: 2.4897, recall: 0.5491, relative_absolute_error: 0.8418, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.9135, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5991, f_measure: 0.2915, kappa: 0.0872, kb_relative_information_score: 432.4628, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.2678, predictive_accuracy: 0.3207, prior_entropy: 2.4897, recall: 0.3207, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3924, root_relative_squared_error: 1.1838, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5991, f_measure: 0.2915, kappa: 0.0872, kb_relative_information_score: 432.4628, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.2678, predictive_accuracy: 0.3207, prior_entropy: 2.4897, recall: 0.3207, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3924, root_relative_squared_error: 1.1838, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.4809, kappa: 0.3644, kb_relative_information_score: 786.7988, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.4733, predictive_accuracy: 0.5407, prior_entropy: 2.4897, recall: 0.5407, relative_absolute_error: 0.8373, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.9116, scimark_benchmark: 918.0213, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.4223, kappa: 0.3358, kb_relative_information_score: 631.34, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.392, predictive_accuracy: 0.5337, prior_entropy: 2.4897, recall: 0.5337, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.9054, scimark_benchmark: 1261.7298, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.4275, kappa: 0.2471, kb_relative_information_score: 802.2918, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.4327, predictive_accuracy: 0.4242, prior_entropy: 2.4897, recall: 0.4242, relative_absolute_error: 0.784, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3722, root_relative_squared_error: 1.123, scimark_benchmark: 1260.1387, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5991, f_measure: 0.2915, kappa: 0.0872, kb_relative_information_score: 432.4628, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.2678, predictive_accuracy: 0.3207, prior_entropy: 2.4897, recall: 0.3207, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3924, root_relative_squared_error: 1.1838, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5991, f_measure: 0.2915, kappa: 0.0872, kb_relative_information_score: 432.4628, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.2678, predictive_accuracy: 0.3207, prior_entropy: 2.4897, recall: 0.3207, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3924, root_relative_squared_error: 1.1838, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6539, f_measure: 0.3014, kappa: 0.0695, kb_relative_information_score: 453.0733, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.2203, number_of_instances: 2850, precision: 0.2712, predictive_accuracy: 0.3632, prior_entropy: 2.4897, recall: 0.3632, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3316, root_relative_squared_error: 1.0004, scimark_benchmark: 1354.7191, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,

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