OpenML
Supervised Classification on solar-flare

Supervised Classification on solar-flare

Task 2068 Supervised Classification solar-flare 1232 runs submitted
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  • at2 study_1 study_41 study_70 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5914, f_measure: 0.9925, kappa: -0.0009, kb_relative_information_score: -133.8877, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0602, root_relative_squared_error: 1.0791, scimark_benchmark: 876.8277, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.9906, kappa: -0.0042, kb_relative_information_score: -824.4152, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9906, prior_entropy: 0.0626, recall: 0.9906, relative_absolute_error: 0.8862, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0742, root_relative_squared_error: 1.3295, scimark_benchmark: 942.1229, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6448, f_measure: 0.9924, kappa: 0.1966, kb_relative_information_score: -621.3683, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9923, predictive_accuracy: 0.9925, prior_entropy: 0.0626, recall: 0.9925, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0704, root_relative_squared_error: 1.2615, scimark_benchmark: 922.9039, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6678, f_measure: 0.9878, kappa: -0.0057, kb_relative_information_score: -1578.4508, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.985, prior_entropy: 0.0626, recall: 0.985, relative_absolute_error: 1.3508, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.096, root_relative_squared_error: 1.7188, scimark_benchmark: 938.4285, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5944, f_measure: 0.993, kb_relative_information_score: 160.1036, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.4197, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0016, scimark_benchmark: 926.6717, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.992, kappa: -0.002, kb_relative_information_score: -2728.191, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9934, prior_entropy: 0.0626, recall: 0.9934, relative_absolute_error: 1.2168, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0644, root_relative_squared_error: 1.1531, scimark_benchmark: 947.9494, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: -1277.503, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 1.0186, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0007, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6474, f_measure: 0.9887, kappa: -0.0053, kb_relative_information_score: -1703.6294, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9869, prior_entropy: 0.0626, recall: 0.9869, relative_absolute_error: 1.3083, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.093, root_relative_squared_error: 1.6651, scimark_benchmark: 924.6116, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, f_measure: 0.993, kb_relative_information_score: 160.2365, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0017, scimark_benchmark: 923.7642, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.9911, kappa: 0.0869, kb_relative_information_score: -1817.936, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9916, predictive_accuracy: 0.9906, prior_entropy: 0.0626, recall: 0.9906, relative_absolute_error: 1.056, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0772, root_relative_squared_error: 1.3836, scimark_benchmark: 930.32, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: 160.237, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0017, scimark_benchmark: 929.0255, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: -1277.503, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 1.0186, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0007, scimark_benchmark: 923.3111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7815, f_measure: 0.992, kappa: -0.0024, kb_relative_information_score: -1595.6097, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9934, prior_entropy: 0.0626, recall: 0.9934, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0661, root_relative_squared_error: 1.1845, scimark_benchmark: 929.566, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6104, f_measure: 0.9887, kappa: -0.0053, kb_relative_information_score: -1790.7602, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9869, prior_entropy: 0.0626, recall: 0.9869, relative_absolute_error: 1.2183, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.087, root_relative_squared_error: 1.5591, scimark_benchmark: 932.3943, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.9875, kappa: 0.203, kb_relative_information_score: -1714.1892, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9938, predictive_accuracy: 0.9822, prior_entropy: 0.0626, recall: 0.9822, relative_absolute_error: 1.6131, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.1068, root_relative_squared_error: 1.9127, scimark_benchmark: 942.3168, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5875, build_cpu_time: 0.1101, build_memory: 389669647.6773, f_measure: 0.9906, kappa: -0.0042, kb_relative_information_score: -418.3591, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9906, prior_entropy: 0.0626, recall: 0.9906, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0782, root_relative_squared_error: 1.4015, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5382, build_cpu_time: 0.056, build_memory: 792978147.4672, f_measure: 0.9916, kappa: -0.0028, kb_relative_information_score: -806.1226, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9925, prior_entropy: 0.0626, recall: 0.9925, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0702, root_relative_squared_error: 1.2573, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5875, build_cpu_time: 0.1039, build_memory: 646732452.878, f_measure: 0.9906, kappa: -0.0042, kb_relative_information_score: -417.9914, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9906, prior_entropy: 0.0626, recall: 0.9906, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0781, root_relative_squared_error: 1.3996, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5384, build_cpu_time: 0.1389, build_memory: 1078271216.1201, f_measure: 0.9916, kappa: -0.0028, kb_relative_information_score: -710.8815, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9925, prior_entropy: 0.0626, recall: 0.9925, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0695, root_relative_squared_error: 1.2444, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5877, build_cpu_time: 0.0354, build_memory: 1164287652.6904, f_measure: 0.9906, kappa: -0.0042, kb_relative_information_score: -417.4794, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9906, prior_entropy: 0.0626, recall: 0.9906, relative_absolute_error: 0.8291, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.078, root_relative_squared_error: 1.397, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5384, build_cpu_time: 0.1613, build_memory: 905825190.4015, f_measure: 0.9916, kappa: -0.0028, kb_relative_information_score: -710.8764, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9925, prior_entropy: 0.0626, recall: 0.9925, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0695, root_relative_squared_error: 1.2444, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5913, f_measure: 0.9933, kappa: 0.297, kb_relative_information_score: -205.9392, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9932, predictive_accuracy: 0.9934, prior_entropy: 0.0626, recall: 0.9934, relative_absolute_error: 0.7813, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0657, root_relative_squared_error: 1.1771, scimark_benchmark: 921.8984, usercpu_time_millis: 42680, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 42650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, build_cpu_time: 7.2842, build_memory: 727886595.5272, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -373.8309, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9916, prior_entropy: 0.0626, recall: 0.9916, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0729, root_relative_squared_error: 1.3051, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, build_cpu_time: 10.0327, build_memory: 1105532739.8424, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -373.8309, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9916, prior_entropy: 0.0626, recall: 0.9916, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0729, root_relative_squared_error: 1.3051, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.545, build_cpu_time: 0.3806, build_memory: 666792301.8386, f_measure: 0.992, kappa: -0.002, kb_relative_information_score: -709.4639, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9934, prior_entropy: 0.0626, recall: 0.9934, relative_absolute_error: 0.7209, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0681, root_relative_squared_error: 1.2199, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5384, build_cpu_time: 0.2346, build_memory: 448447248.1801, f_measure: 0.9916, kappa: -0.0028, kb_relative_information_score: -710.9963, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9925, prior_entropy: 0.0626, recall: 0.9925, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0695, root_relative_squared_error: 1.2445, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5872, build_cpu_time: 0.6311, build_memory: 1454995561.8011, f_measure: 0.9892, kappa: -0.0052, kb_relative_information_score: -871.5338, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9878, prior_entropy: 0.0626, recall: 0.9878, relative_absolute_error: 1.1212, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0906, root_relative_squared_error: 1.6229, scimark_benchmark: 926.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5876, build_cpu_time: 1.137, build_memory: 419640171.4672, f_measure: 0.9892, kappa: -0.0052, kb_relative_information_score: -875.8258, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9878, prior_entropy: 0.0626, recall: 0.9878, relative_absolute_error: 1.1213, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0906, root_relative_squared_error: 1.6229, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: -95743.7557, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 29.9599, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2745, root_relative_squared_error: 4.9164, scimark_benchmark: 921.8984, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7607, build_cpu_time: 128.1121, build_memory: 1189108471.122, f_measure: 0.992, kappa: -0.002, kb_relative_information_score: -87968.4053, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9934, prior_entropy: 0.0626, recall: 0.9934, relative_absolute_error: 22.1054, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.1799, root_relative_squared_error: 3.2229, scimark_benchmark: 944.5105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5512, build_cpu_time: 0.5565, build_memory: 855765595.9099, f_measure: 0.993, kb_relative_information_score: -1377.3341, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8457, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0579, root_relative_squared_error: 1.0371, scimark_benchmark: 946.5746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5342, build_cpu_time: 0.2566, build_memory: 1705250899.3546, f_measure: 0.993, kb_relative_information_score: -1453.2978, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0576, root_relative_squared_error: 1.0314, scimark_benchmark: 941.4581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, build_cpu_time: 0.3192, build_memory: 176790300.2026, f_measure: 0.993, kb_relative_information_score: -2218.5256, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.7751, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0576, root_relative_squared_error: 1.0314, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, build_cpu_time: 2.126, build_memory: 1982695444.6904, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -2426.4094, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.8176, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0585, root_relative_squared_error: 1.0478, scimark_benchmark: 941.6047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, build_cpu_time: 1.193, build_memory: 425489736.1576, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -2425.9713, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.8235, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0588, root_relative_squared_error: 1.0527, scimark_benchmark: 921.6453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, build_cpu_time: 0.0033, build_memory: 236547494.1914, f_measure: 0.9925, kappa: -0.0009, kb_relative_information_score: 55.9234, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.4695, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0579, root_relative_squared_error: 1.0371, scimark_benchmark: 941.6532,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -95759.7371, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 29.9879, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2748, root_relative_squared_error: 4.9232, scimark_benchmark: 1891.5311, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -95759.7371, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 29.9879, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2748, root_relative_squared_error: 4.9232, scimark_benchmark: 1356.0605, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -95759.7371, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 29.9879, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2748, root_relative_squared_error: 4.9232, scimark_benchmark: 1349.7537, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -95759.7371, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 29.9879, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2748, root_relative_squared_error: 4.9232, scimark_benchmark: 1374.4798, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -95759.7371, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 29.9879, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2748, root_relative_squared_error: 4.9232, scimark_benchmark: 1397.298, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -95759.7371, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 29.9879, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2748, root_relative_squared_error: 4.9232, scimark_benchmark: 1365.1336, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5893, f_measure: 0.992, kappa: -0.0024, kb_relative_information_score: -71.9473, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9934, prior_entropy: 0.0626, recall: 0.9934, relative_absolute_error: 0.5869, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0662, root_relative_squared_error: 1.1852, scimark_benchmark: 1447.182, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.992, kappa: -0.0024, kb_relative_information_score: -71.9446, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9934, prior_entropy: 0.0626, recall: 0.9934, relative_absolute_error: 0.5869, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0662, root_relative_squared_error: 1.1852, scimark_benchmark: 1450.8638, usercpu_time_millis: 2460, usercpu_time_millis_testing: 1000, usercpu_time_millis_training: 1460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.993, kb_relative_information_score: -1349.3847, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.7004, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.9984, scimark_benchmark: 1679.4264, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, f_measure: 0.9928, kappa: 0.2694, kb_relative_information_score: -180.2448, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9931, predictive_accuracy: 0.9925, prior_entropy: 0.0626, recall: 0.9925, relative_absolute_error: 0.6705, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0707, root_relative_squared_error: 1.2665, scimark_benchmark: 1463.4506, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4976, f_measure: 0.993, kb_relative_information_score: 160.09, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.4197, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0017, scimark_benchmark: 1340.4274, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -95759.7371, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 29.9879, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2748, root_relative_squared_error: 4.9232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -95759.7371, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 29.9879, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2748, root_relative_squared_error: 4.9232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: 45.5083, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0558, root_relative_squared_error: 1.0004, scimark_benchmark: 906.0979,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.9924, kappa: 0.1966, kb_relative_information_score: -2313.5654, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9923, predictive_accuracy: 0.9925, prior_entropy: 0.0626, recall: 0.9925, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0659, root_relative_squared_error: 1.1796, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: 160.237, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0017, scimark_benchmark: 904.6764, usercpu_time_millis: 110, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.993, kb_relative_information_score: -858.3096, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.5643, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.056, root_relative_squared_error: 1.0029, scimark_benchmark: 936.3373, usercpu_time_millis: 160, usercpu_time_millis_training: 160,

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

estimation_procedure 10-fold Crossvalidation
evaluation_measures predictive_accuracy
source_data solar-flare (2)
target_feature X-class_flares_production_by_this_region

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