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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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: 1721.7888, 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: 1396.7912, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.993, kb_relative_information_score: -1186.9365, 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: 0.7185, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0576, root_relative_squared_error: 1.0327, scimark_benchmark: 1551.214, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.993, kb_relative_information_score: -1596.8464, 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: 0.724, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0563, root_relative_squared_error: 1.009, scimark_benchmark: 1371.164, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.993, kb_relative_information_score: -1186.9365, 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: 0.7185, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0576, root_relative_squared_error: 1.0327, scimark_benchmark: 1748.7011, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.993, kb_relative_information_score: -1596.8464, 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: 0.724, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0563, root_relative_squared_error: 1.009, scimark_benchmark: 1412.2203, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4327, f_measure: 0.993, kb_relative_information_score: -1052.1555, mean_absolute_error: 0.0053, 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: 0.7167, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0587, root_relative_squared_error: 1.0516, scimark_benchmark: 1445.9699, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, f_measure: 0.993, kb_relative_information_score: -1035.1807, 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: 0.7035, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0581, root_relative_squared_error: 1.0411, scimark_benchmark: 1556.7556, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4327, f_measure: 0.993, kb_relative_information_score: -1052.1555, mean_absolute_error: 0.0053, 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: 0.7167, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0587, root_relative_squared_error: 1.0516, scimark_benchmark: 1423.4578, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, f_measure: 0.993, kb_relative_information_score: -1035.1807, 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: 0.7035, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0581, root_relative_squared_error: 1.0411, scimark_benchmark: 1425.3241, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.9916, kappa: 0.0962, kb_relative_information_score: -1824.3984, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 0.0626, recall: 0.9916, relative_absolute_error: 1.3304, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0632, root_relative_squared_error: 1.1328, scimark_benchmark: 1426.8901, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.9916, kappa: 0.0962, kb_relative_information_score: -1521.3885, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 0.0626, recall: 0.9916, relative_absolute_error: 0.932, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0633, root_relative_squared_error: 1.1341, scimark_benchmark: 1546.9004, usercpu_time_millis: 1920, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.993, kb_relative_information_score: -25858.3008, mean_absolute_error: 0.0157, 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: 2.1044, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0565, root_relative_squared_error: 1.0127, scimark_benchmark: 1245.9437, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -630.5576, mean_absolute_error: 0.0063, 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: 0.8468, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0733, root_relative_squared_error: 1.3122, scimark_benchmark: 1410.1148, usercpu_time_millis: 110, usercpu_time_millis_testing: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -1731.6159, mean_absolute_error: 0.0051, 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: 0.6786, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0596, root_relative_squared_error: 1.0684, scimark_benchmark: 1409.3592, usercpu_time_millis: 160, usercpu_time_millis_testing: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -618.304, mean_absolute_error: 0.006, 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: 0.8027, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0733, root_relative_squared_error: 1.3133, scimark_benchmark: 1500.4715, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
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: 1479.1365, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7035, f_measure: 0.993, kb_relative_information_score: -85983.1261, mean_absolute_error: 0.1542, 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: 20.6673, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.1705, root_relative_squared_error: 3.0543, scimark_benchmark: 1804.3342, usercpu_time_millis: 5450, usercpu_time_millis_training: 5450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.9916, kappa: -0.0032, kb_relative_information_score: -1132.7112, mean_absolute_error: 0.0056, 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: 0.7529, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0611, root_relative_squared_error: 1.0951, scimark_benchmark: 1424.2043, usercpu_time_millis: 550, usercpu_time_millis_testing: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -127.6973, mean_absolute_error: 0.0039, 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: 0.5259, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0609, root_relative_squared_error: 1.0916, scimark_benchmark: 1634.5548, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, 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: 1428.2091, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, 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: 1503.4796, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5879, f_measure: 0.9901, kappa: -0.0046, kb_relative_information_score: -622.6136, mean_absolute_error: 0.0066, 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: 0.8911, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0798, root_relative_squared_error: 1.4299, scimark_benchmark: 1788.5946, usercpu_time_millis: 6400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, f_measure: 0.9892, kappa: -0.0052, kb_relative_information_score: -791.1292, 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: 0.9581, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0791, root_relative_squared_error: 1.4166, scimark_benchmark: 1531.7719, usercpu_time_millis: 1790, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 1180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9822, kappa: 0.1832, kb_relative_information_score: -5125.9782, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9947, predictive_accuracy: 0.9719, prior_entropy: 0.0626, recall: 0.9719, relative_absolute_error: 2.852, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.1311, root_relative_squared_error: 2.3482, scimark_benchmark: 1428.9623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.9916, kappa: -0.0032, kb_relative_information_score: -1447.6031, mean_absolute_error: 0.0057, 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: 0.7679, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0628, root_relative_squared_error: 1.1248, scimark_benchmark: 1495.0239, usercpu_time_millis: 2010, usercpu_time_millis_testing: 2010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9842, kappa: 0.2064, kb_relative_information_score: -4992.2461, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9948, predictive_accuracy: 0.9756, prior_entropy: 0.0626, recall: 0.9756, relative_absolute_error: 2.5048, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.1146, root_relative_squared_error: 2.0535, scimark_benchmark: 1533.6281, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7805, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -1503.9937, mean_absolute_error: 0.0058, 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: 0.7758, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.061, root_relative_squared_error: 1.0922, scimark_benchmark: 1480.8523, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.993, kb_relative_information_score: -2395.8842, mean_absolute_error: 0.0059, 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: 0.7902, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.997, scimark_benchmark: 1565.5515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4898, f_measure: 0.993, kb_relative_information_score: -1079.2549, mean_absolute_error: 0.0059, 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: 0.7953, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0575, root_relative_squared_error: 1.0293, scimark_benchmark: 1450.6833, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 1556.4071, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, f_measure: 0.993, kb_relative_information_score: -887.9776, mean_absolute_error: 0.0061, 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: 0.8134, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0563, root_relative_squared_error: 1.0087, scimark_benchmark: 1457.3621, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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, scimark_benchmark: 1470.3519, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.9906, kappa: -0.0042, kb_relative_information_score: -417.3265, 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: 0.8285, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0779, root_relative_squared_error: 1.3957, scimark_benchmark: 1463.0383, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7553, f_measure: 0.993, kb_relative_information_score: -1150.8992, mean_absolute_error: 0.0047, 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: 0.6366, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0556, root_relative_squared_error: 0.9968, scimark_benchmark: 1621.8181, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, 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: 1468.6,
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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: 1648.9824, 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: 1515.3095,
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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: 1703.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.993, kb_relative_information_score: -2778.5795, mean_absolute_error: 0.0061, 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: 0.8233, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0585, root_relative_squared_error: 1.0484, scimark_benchmark: 1578.5384, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.993, kb_relative_information_score: -3132.7745, mean_absolute_error: 0.0061, 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: 0.8173, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0573, root_relative_squared_error: 1.0267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.993, kb_relative_information_score: -3043.0885, mean_absolute_error: 0.0059, 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: 0.7912, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0555, root_relative_squared_error: 0.9939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.993, kb_relative_information_score: -3332.8283, 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: 0.8005, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.9923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.992, kappa: -0.0024, kb_relative_information_score: -2202.5533, mean_absolute_error: 0.007, 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: 0.9358, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0659, root_relative_squared_error: 1.1812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.992, kappa: -0.0024, kb_relative_information_score: -2229.5872, mean_absolute_error: 0.0067, 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: 0.8984, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0637, root_relative_squared_error: 1.1411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -2026.6047, 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: 0.818, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0603, root_relative_squared_error: 1.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -2207.8338, mean_absolute_error: 0.006, 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: 0.7985, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0593, root_relative_squared_error: 1.0627,
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: 0.8743, f_measure: 0.993, kb_relative_information_score: -26329.3306, mean_absolute_error: 0.016, 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: 2.1464, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0562, root_relative_squared_error: 1.0074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6276, f_measure: 0.993, kb_relative_information_score: -935.9282, 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: 0.6915, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0579, root_relative_squared_error: 1.0365,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.992, kappa: -0.0024, kb_relative_information_score: -6514.7362, mean_absolute_error: 0.0106, 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: 1.4153, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0587, root_relative_squared_error: 1.0513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.992, kappa: -0.0024, kb_relative_information_score: -1811.2511, mean_absolute_error: 0.0092, 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: 1.2365, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0581, root_relative_squared_error: 1.0406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.993, kb_relative_information_score: -22808.066, mean_absolute_error: 0.0143, 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: 1.92, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.993, kb_relative_information_score: -8.69, mean_absolute_error: 0.004, 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: 0.5393, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.9653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6309, f_measure: 0.993, kb_relative_information_score: -806.5373, mean_absolute_error: 0.0045, 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: 0.6078, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0542, root_relative_squared_error: 0.9714,

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