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: 0.5879, 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: 1350.9164, usercpu_time_millis: 7490, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 7470,
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: 1297.3704, usercpu_time_millis: 180, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 130,
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: 1387.1363, 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: 1371.5931, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1223.3445, usercpu_time_millis: 310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.993, kb_relative_information_score: -858.3096, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.5643, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.056, root_relative_squared_error: 1.0029, scimark_benchmark: 1261.5226, usercpu_time_millis: 270, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.9916, kappa: -0.0032, kb_relative_information_score: -307.6021, mean_absolute_error: 0.0051, 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: 0.6896, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0688, root_relative_squared_error: 1.2321, scimark_benchmark: 1274.8719, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: -112580.4824, mean_absolute_error: 0.4444, 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: 59.5845, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.4714, root_relative_squared_error: 8.4444, scimark_benchmark: 1207.7774, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
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: 1369.2122, 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: 1356.709, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.993, kb_relative_information_score: -1349.3847, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.7004, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.9984, scimark_benchmark: 1310.9306, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.993, kb_relative_information_score: -1944.8285, 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: 0.7595, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.9979, scimark_benchmark: 1312.7705, usercpu_time_millis: 730, usercpu_time_millis_testing: 730,
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: 1314.4587, usercpu_time_millis: 2510, usercpu_time_millis_testing: 2510,
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: 1501.4654, usercpu_time_millis: 70, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5955, f_measure: 0.992, kappa: -0.0024, kb_relative_information_score: -358.8981, mean_absolute_error: 0.0048, 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: 0.6414, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0659, root_relative_squared_error: 1.1808, scimark_benchmark: 1261.6923, usercpu_time_millis: 880, usercpu_time_millis_testing: 880,
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: 1323.4664, usercpu_time_millis: 1240, usercpu_time_millis_testing: 1240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.992, kappa: -0.0024, kb_relative_information_score: -150.5171, mean_absolute_error: 0.0045, 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: 0.6034, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0663, root_relative_squared_error: 1.1885, scimark_benchmark: 1364.1685, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4911, f_measure: 0.992, kappa: -0.0024, kb_relative_information_score: -48.7747, mean_absolute_error: 0.0039, 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: 0.5207, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0599, root_relative_squared_error: 1.0725, scimark_benchmark: 1391.4386, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4976, f_measure: 0.993, kb_relative_information_score: 160.09, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.4197, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0017, scimark_benchmark: 1452.3118, 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: 1347.4622, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1880.9128, usercpu_time_millis: 420, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, f_measure: 0.9928, kappa: 0.2694, kb_relative_information_score: -180.2448, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9931, predictive_accuracy: 0.9925, prior_entropy: 0.0626, recall: 0.9925, relative_absolute_error: 0.6705, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0707, root_relative_squared_error: 1.2665, scimark_benchmark: 1866.7115, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, 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: 1269.3471, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5965, 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: 1297.7413, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.993, kb_relative_information_score: -571.489, 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: 0.6239, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.9917, scimark_benchmark: 1423.913, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4751, f_measure: 0.993, kb_relative_information_score: -822.2043, 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: 0.8017, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0561, root_relative_squared_error: 1.0043, scimark_benchmark: 1299.6547, 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: -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: 1442.5349, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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: 1285.83, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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: 1324.46, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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: 1440.0816, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
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: 1359.351, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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: 1319.6928, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4456, f_measure: 0.9925, kappa: -0.0009, kb_relative_information_score: -1002.5875, 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: 0.7607, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0629, root_relative_squared_error: 1.1274, scimark_benchmark: 1351.1261, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4367, f_measure: 0.992, kappa: -0.0024, kb_relative_information_score: -972.3426, mean_absolute_error: 0.0053, 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: 0.7141, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0597, root_relative_squared_error: 1.0693, scimark_benchmark: 1344.9008, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: -112580.4824, mean_absolute_error: 0.4444, 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: 59.5845, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.4714, root_relative_squared_error: 8.4444, scimark_benchmark: 1391.3583, usercpu_time_millis: 1660, usercpu_time_millis_training: 1660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6167, f_measure: 0.9925, kappa: -0.0009, kb_relative_information_score: -1122.3827, 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: 0.7977, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0643, root_relative_squared_error: 1.1514, scimark_benchmark: 1348.2398, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -95759.7371, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 29.9879, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2748, root_relative_squared_error: 4.9232, scimark_benchmark: 1561.4775, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, 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: 1335.2281, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, 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: 1278.7233, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.993, kb_relative_information_score: -1348.7229, 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: 0.7861, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0547, root_relative_squared_error: 0.9799, scimark_benchmark: 1340.7328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: -112580.4824, mean_absolute_error: 0.4444, 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: 59.5845, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.4714, root_relative_squared_error: 8.4444, scimark_benchmark: 1295.9599, usercpu_time_millis: 3690, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3680,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5893, f_measure: 0.992, kappa: -0.0024, kb_relative_information_score: -71.9473, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9934, prior_entropy: 0.0626, recall: 0.9934, relative_absolute_error: 0.5869, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0662, root_relative_squared_error: 1.1852, scimark_benchmark: 1348.1743, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
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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