Task
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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1232 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6616, build_cpu_time: 0.0209, build_memory: 1204358752.2777, f_measure: 0.9906, kappa: -0.0042, kb_relative_information_score: -1111.0432, mean_absolute_error: 0.0068, 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: 0.9062, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0761, root_relative_squared_error: 1.3629, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6256, build_cpu_time: 0.0654, build_memory: 335595415.3846, f_measure: 0.9897, kappa: -0.0047, kb_relative_information_score: -1170.0988, mean_absolute_error: 0.0077, 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: 1.0363, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0826, root_relative_squared_error: 1.479, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6368, build_cpu_time: 0.0909, build_memory: 423319604.2477, f_measure: 0.9892, kappa: -0.005, kb_relative_information_score: -1180.9367, mean_absolute_error: 0.0085, 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: 1.1348, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0887, root_relative_squared_error: 1.5884, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, build_cpu_time: 2.9158, build_memory: 1215770568.3902, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -644.7265, mean_absolute_error: 0.0045, 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: 0.6093, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.06, root_relative_squared_error: 1.0741, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, build_cpu_time: 0.0647, build_memory: 550540146.9493, 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: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, build_cpu_time: 0.0103, build_memory: 256869050.6792, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -1244.4067, mean_absolute_error: 0.0065, 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: 0.8739, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0738, root_relative_squared_error: 1.3213, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, build_cpu_time: 0.0634, build_memory: 644840509.8837, 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: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, build_cpu_time: 0.0566, build_memory: 1057101092.2402, f_measure: 0.9906, kappa: -0.0042, kb_relative_information_score: -844.7909, 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: 0.8868, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0741, root_relative_squared_error: 1.3277, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, build_cpu_time: 0.0365, build_memory: 782751573.0356, f_measure: 0.9906, kappa: -0.0042, kb_relative_information_score: -1111.7004, mean_absolute_error: 0.0069, 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: 0.9283, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0735, root_relative_squared_error: 1.3159, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, build_cpu_time: 0.0718, build_memory: 956827101.9437, f_measure: 0.9892, kappa: -0.005, kb_relative_information_score: -1188.2471, 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: 1.1222, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.088, root_relative_squared_error: 1.5755, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, build_cpu_time: 4.4405, build_memory: 902803016.7655, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -665.1865, mean_absolute_error: 0.0047, 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: 0.6245, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0604, root_relative_squared_error: 1.0812, scimark_benchmark: 937.5757,
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: 0.2494, 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: 0.918, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6758, 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: 947.0793, usercpu_time_millis: 1660, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1650,
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,
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: 0.2494, 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: 0.5, 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: 0.8315, 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: 0.7815, 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: 0.5875, 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: 0.5895, 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: 0.8825, 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: 0.5, 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: 0.7607, 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: 0.6465, build_cpu_time: 69.7445, build_memory: 775100569.2308, f_measure: 0.992, kappa: -0.002, kb_relative_information_score: -89154.2191, mean_absolute_error: 0.1733, 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: 23.2366, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.1889, root_relative_squared_error: 3.3846, scimark_benchmark: 946.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6443, build_cpu_time: 33.6081, build_memory: 101341315.5872, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -89175.6137, mean_absolute_error: 0.174, 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: 23.3268, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.1901, root_relative_squared_error: 3.4046, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6191, build_cpu_time: 0.0426, build_memory: 1689335835.5948, f_measure: 0.993, kb_relative_information_score: -672.7388, 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: 0.8335, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0562, root_relative_squared_error: 1.0061, scimark_benchmark: 920.1753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6473, build_cpu_time: 0.0149, build_memory: 197320458.8293, f_measure: 0.993, kb_relative_information_score: -513.1642, mean_absolute_error: 0.006, 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: 0.8034, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0019, scimark_benchmark: 945.0697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.588, f_measure: 0.9901, kappa: -0.0046, kb_relative_information_score: -634.5857, mean_absolute_error: 0.0067, 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: 0.9025, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0804, root_relative_squared_error: 1.4398, scimark_benchmark: 908.8152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5978, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -40.9462, 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: 0.5102, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0608, root_relative_squared_error: 1.0891, scimark_benchmark: 946.2159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.993, kb_relative_information_score: -2130.0363, mean_absolute_error: 0.0056, 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: 0.7529, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0569, root_relative_squared_error: 1.0189, scimark_benchmark: 938.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.993, kb_relative_information_score: -2324.277, mean_absolute_error: 0.0057, 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: 0.7652, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0563, root_relative_squared_error: 1.0089, scimark_benchmark: 927.7174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4339, f_measure: 0.9925, kappa: -0.0009, kb_relative_information_score: -1003.8939, 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: 0.7691, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0631, root_relative_squared_error: 1.1303, scimark_benchmark: 941.6135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: -1290.7013, 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: 1.0192, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0007, scimark_benchmark: 945.4519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -95807.6813, mean_absolute_error: 0.2243, 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: 30.0717, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.276, root_relative_squared_error: 4.9435, scimark_benchmark: 944.4179,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, build_cpu_time: 0.0009, build_memory: 187103241.3133, f_measure: 0.9832, kappa: 0.1942, kb_relative_information_score: -4801.7869, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9947, predictive_accuracy: 0.9737, prior_entropy: 0.0626, recall: 0.9737, relative_absolute_error: 2.6556, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.1251, root_relative_squared_error: 2.2403, scimark_benchmark: 946.5,
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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: 0.484, 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,
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: 933.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -1566.4725, mean_absolute_error: 0.0059, 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: 0.7867, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0612, root_relative_squared_error: 1.0964,
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: 943.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6476, f_measure: 0.817, kappa: 0.0016, kb_relative_information_score: -37105.081, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9926, predictive_accuracy: 0.6942, prior_entropy: 0.0626, recall: 0.6942, relative_absolute_error: 27.3329, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.4515, root_relative_squared_error: 8.0884, scimark_benchmark: 945.6328,
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: 932.022,
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: 946.4073,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.992, kappa: -0.0024, kb_relative_information_score: -249.2328, 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: 0.7239, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0629, root_relative_squared_error: 1.127, scimark_benchmark: 937.0719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5384, 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: 933.7272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5889, f_measure: 0.993, kb_relative_information_score: -669.056, 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: 0.8405, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0563, root_relative_squared_error: 1.0092, scimark_benchmark: 940.8244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.992, kappa: 0.1078, kb_relative_information_score: -999.8964, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9916, predictive_accuracy: 0.9925, prior_entropy: 0.0626, recall: 0.9925, relative_absolute_error: 0.7973, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0633, root_relative_squared_error: 1.1334, scimark_benchmark: 932.7193,
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: 940.5614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -61.2819, 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: 0.5144, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0608, root_relative_squared_error: 1.0895, scimark_benchmark: 941.4355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.9887, kappa: -0.0053, kb_relative_information_score: -2200.1063, 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: 1.2495, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0855, root_relative_squared_error: 1.5322, scimark_benchmark: 937.1074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.993, kb_relative_information_score: -2225.9641, mean_absolute_error: 0.0054, 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: 0.7247, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0558, root_relative_squared_error: 0.9997, scimark_benchmark: 946.1681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9832, kappa: 0.1942, kb_relative_information_score: -4801.7869, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9947, predictive_accuracy: 0.9737, prior_entropy: 0.0626, recall: 0.9737, relative_absolute_error: 2.6556, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.1251, root_relative_squared_error: 2.2403, scimark_benchmark: 946.7711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.993, kb_relative_information_score: -2189.0483, mean_absolute_error: 0.0057, 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: 0.769, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0572, root_relative_squared_error: 1.0252, scimark_benchmark: 940.3231,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4812, f_measure: 0.993, kb_relative_information_score: 160.0301, 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: 0.42, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0017, scimark_benchmark: 918.5967,

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