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: 0.4981, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -304.1283, mean_absolute_error: 0.0056, 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: 0.7546, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.075, root_relative_squared_error: 1.3439, scimark_benchmark: 1327.8711, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.9916, kappa: -0.0032, kb_relative_information_score: -188.037, mean_absolute_error: 0.005, 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: 0.6707, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0707, root_relative_squared_error: 1.2671, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9925, kappa: -0.0009, kb_relative_information_score: 44.1457, mean_absolute_error: 0.0038, 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: 0.5031, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0613, root_relative_squared_error: 1.0973, scimark_benchmark: 1466.6185,
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: 0.5, 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: 1466.6185,
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: 1028.5889,
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: 1066.833,
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: 0.7576, f_measure: 0.9897, kappa: -0.0049, kb_relative_information_score: -930.3046, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9887, prior_entropy: 0.0626, recall: 0.9887, relative_absolute_error: 1.0487, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0843, root_relative_squared_error: 1.5098, scimark_benchmark: 942.6953, usercpu_time_millis: 140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 100,
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: 0.8222, 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: 0.8222, 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: 941.7954, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5914, 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: 0.5918, f_measure: 0.993, kb_relative_information_score: 5.6458, mean_absolute_error: 0.0034, 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: 0.4541, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0566, root_relative_squared_error: 1.0138, scimark_benchmark: 942.6953, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
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: 0.5943, f_measure: 0.993, kb_relative_information_score: 160.2326, 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: 1.0016, scimark_benchmark: 938.2848, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 0.6678, 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: 0.6474, 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: 0.6262, f_measure: 0.9887, kappa: -0.0053, kb_relative_information_score: -1711.353, mean_absolute_error: 0.0093, 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: 1.2533, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0898, root_relative_squared_error: 1.6082, scimark_benchmark: 924.6116, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6104, 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: 0.7717, 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: 0.2494, 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: 0.7815, 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: 0.2494, 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: 0.8315, 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: 0.5, 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: 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: 910.8389, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.993, kb_relative_information_score: -4049.2055, mean_absolute_error: 0.0075, 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: 1.0077, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0562, root_relative_squared_error: 1.0062, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.9901, kappa: -0.0046, kb_relative_information_score: -640.5784, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9897, prior_entropy: 0.0626, recall: 0.9897, relative_absolute_error: 0.9164, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0813, root_relative_squared_error: 1.4558, scimark_benchmark: 928.4036, usercpu_time_millis: 26290, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 26230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5875, 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: 915.2795, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5875, 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: 915.2795, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5875, f_measure: 0.9906, kappa: -0.0042, kb_relative_information_score: -418.3223, 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: 0.8319, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0782, root_relative_squared_error: 1.4013, scimark_benchmark: 947.0793, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.484, f_measure: 0.9901, kappa: -0.0046, kb_relative_information_score: -620.399, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9897, prior_entropy: 0.0626, recall: 0.9897, relative_absolute_error: 0.928, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0815, root_relative_squared_error: 1.46, scimark_benchmark: 911.3823, usercpu_time_millis: 3180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3170,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -1651.2912, mean_absolute_error: 0.0057, 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: 0.7676, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0596, root_relative_squared_error: 1.0668, scimark_benchmark: 915.2795, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
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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,
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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: 0.5877, 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: 0.5875, 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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, build_cpu_time: 15.062, build_memory: 497475325.651, f_measure: 0.9892, kappa: -0.0052, kb_relative_information_score: -786.6836, mean_absolute_error: 0.0071, 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: 0.9498, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0787, root_relative_squared_error: 1.4094, scimark_benchmark: 873.8637,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, build_cpu_time: 0.0714, build_memory: 598250480.0675, f_measure: 0.9911, kappa: -0.0035, kb_relative_information_score: -1282.5765, mean_absolute_error: 0.0064, 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: 0.8572, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0699, root_relative_squared_error: 1.252, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, build_cpu_time: 0.1811, build_memory: 155394193.3133, f_measure: 0.9911, kappa: -0.0035, kb_relative_information_score: -1237.4277, mean_absolute_error: 0.0064, 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: 0.8599, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0711, root_relative_squared_error: 1.2736, scimark_benchmark: 922.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.484, build_cpu_time: 4.4393, build_memory: 1318663090.4766, f_measure: 0.9901, kappa: -0.0046, kb_relative_information_score: -625.1766, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9897, prior_entropy: 0.0626, recall: 0.9897, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0827, root_relative_squared_error: 1.4821, scimark_benchmark: 876.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.484, build_cpu_time: 3.5707, build_memory: 1720935876.5629, f_measure: 0.9901, kappa: -0.0046, kb_relative_information_score: -625.7898, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9897, prior_entropy: 0.0626, recall: 0.9897, relative_absolute_error: 0.9455, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0829, root_relative_squared_error: 1.4856, scimark_benchmark: 906.4221,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6758, build_cpu_time: 1.5791, build_memory: 745322008.8856, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -396.6799, mean_absolute_error: 0.0058, 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: 0.7812, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0751, root_relative_squared_error: 1.3445, scimark_benchmark: 920.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, build_cpu_time: 0.0067, build_memory: 2169883480.3152, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -1651.2912, mean_absolute_error: 0.0057, 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: 0.7676, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0596, root_relative_squared_error: 1.0668, scimark_benchmark: 940.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, build_cpu_time: 0.0017, build_memory: 398124378.0188, 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: 943.7068,

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