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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1232 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.992, kappa: -0.0024, kb_relative_information_score: -1555.738, mean_absolute_error: 0.0058, 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: 0.7827, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0596, root_relative_squared_error: 1.0681, scimark_benchmark: 946.7815,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9837, kappa: 0.2001, kb_relative_information_score: -5162.6749, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9947, predictive_accuracy: 0.9747, prior_entropy: 0.0626, recall: 0.9747, relative_absolute_error: 2.6172, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.1164, root_relative_squared_error: 2.0844, scimark_benchmark: 903.1613,
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: 465.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -29.501, 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: 0.5053, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0598, root_relative_squared_error: 1.0712, scimark_benchmark: 940.2956,
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: 929.2017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9925, kappa: -0.0009, kb_relative_information_score: 54.0779, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.4737, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0582, root_relative_squared_error: 1.0432, scimark_benchmark: 595.0429,
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: 944.8894,
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,
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: 0.8222, 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: 943.3214,
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: 946.0405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5982, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -4.0583, 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: 0.5075, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0608, root_relative_squared_error: 1.089, scimark_benchmark: 945.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5876, f_measure: 0.9892, kappa: -0.0052, kb_relative_information_score: -875.8258, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9878, prior_entropy: 0.0626, recall: 0.9878, relative_absolute_error: 1.1213, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0906, root_relative_squared_error: 1.6229, scimark_benchmark: 928.2624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4475, f_measure: 0.993, kb_relative_information_score: -1146.1198, 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: 0.8393, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0561, root_relative_squared_error: 1.0051, scimark_benchmark: 908.4979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5939, f_measure: 0.9916, kappa: -0.0032, kb_relative_information_score: -265.9667, 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: 0.6872, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0709, root_relative_squared_error: 1.2698, scimark_benchmark: 900.1679,
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: 594.7489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4929, f_measure: 0.9906, kappa: -0.0042, kb_relative_information_score: -554.024, mean_absolute_error: 0.0064, 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: 0.8539, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0789, root_relative_squared_error: 1.4142,
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: 595.1074,
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: 591.6664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -405.5616, mean_absolute_error: 0.0057, 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: 0.7669, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0751, root_relative_squared_error: 1.345, scimark_benchmark: 595.3394,
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: 0.5889, 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: 0.5384, 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: 0.5914, 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 - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6207, f_measure: 0.992, kappa: -0.0024, kb_relative_information_score: -1470.0112, mean_absolute_error: 0.0066, 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: 0.8831, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0681, root_relative_squared_error: 1.2192, scimark_benchmark: 943.2261,
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: 902.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6207, f_measure: 0.992, kappa: -0.0024, kb_relative_information_score: -1470.0112, mean_absolute_error: 0.0066, 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: 0.8831, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0681, root_relative_squared_error: 1.2192, scimark_benchmark: 921.0018,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7805, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -1503.9935, 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: 946.3146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.993, kb_relative_information_score: -2377.9336, 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: 0.7897, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0568, root_relative_squared_error: 1.0179, scimark_benchmark: 945.3152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2429, f_measure: 0.9934, kappa: 0.1655, kb_relative_information_score: -962.3333, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9916, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0582, root_relative_squared_error: 1.0421, scimark_benchmark: 946.0279,
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,
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: 0.4915, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -373.8309, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9916, prior_entropy: 0.0626, recall: 0.9916, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0729, root_relative_squared_error: 1.3051, scimark_benchmark: 912.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5606, f_measure: 0.993, kb_relative_information_score: -989.2599, 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: 0.7924, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0016, scimark_benchmark: 893.6255,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.993, kb_relative_information_score: -1831.9629, 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: 0.7864, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0555, root_relative_squared_error: 0.9949, scimark_benchmark: 943.1803,
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: 916.8299,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
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: 594.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -304.0349, 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: 0.7543, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.075, root_relative_squared_error: 1.3431, scimark_benchmark: 599.8552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.993, kb_relative_information_score: -760.5656, mean_absolute_error: 0.0046, 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: 0.616, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0555, root_relative_squared_error: 0.9938, scimark_benchmark: 599.4098,
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: 0.7923, f_measure: 0.993, kb_relative_information_score: -2019.8477, 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: 0.8126, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0555, root_relative_squared_error: 0.9941, scimark_benchmark: 921.0953,
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,
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: 909.4338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -2401.5574, mean_absolute_error: 0.0093, 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: 1.2518, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0673, root_relative_squared_error: 1.2048, scimark_benchmark: 937.7244,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5978, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -110.6477, mean_absolute_error: 0.0041, 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: 0.5441, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0608, root_relative_squared_error: 1.0897, scimark_benchmark: 945.3761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -373.8309, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9916, prior_entropy: 0.0626, recall: 0.9916, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0729, root_relative_squared_error: 1.3051, scimark_benchmark: 943.1306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4688, f_measure: 0.993, kb_relative_information_score: -847.5299, 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: 0.8014, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0007, scimark_benchmark: 941.1031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5674, f_measure: 0.993, kb_relative_information_score: -1272.6907, 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: 0.748, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0571, root_relative_squared_error: 1.0225, scimark_benchmark: 925.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4911, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -366.8803, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9916, prior_entropy: 0.0626, recall: 0.9916, relative_absolute_error: 0.7395, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0728, root_relative_squared_error: 1.3037, scimark_benchmark: 940.5317,
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: 595.2253,
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: 0.588, 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: 0.4339, 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 - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
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: 0.4967, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -329.437, 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: 0.7563, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.075, root_relative_squared_error: 1.3439, scimark_benchmark: 940.7565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -95570.6357, mean_absolute_error: 0.222, 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: 29.7573, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2658, root_relative_squared_error: 4.7612, scimark_benchmark: 919.7731,
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: 942.2312,
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: 943.9742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -295.0309, mean_absolute_error: 0.0054, 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: 0.7272, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0727, root_relative_squared_error: 1.3023, scimark_benchmark: 909.0821,
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: 887.6346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -428.1118, 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: 0.7718, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0738, root_relative_squared_error: 1.3215, scimark_benchmark: 735.5869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9925, kappa: -0.0009, kb_relative_information_score: 55.9234, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.4695, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0579, root_relative_squared_error: 1.0371, scimark_benchmark: 944.7753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3266, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -226.6089, mean_absolute_error: 0.0068, 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: 0.9177, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0613, root_relative_squared_error: 1.0984, scimark_benchmark: 946.4564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5978, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -62.3504, 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: 1.0897, scimark_benchmark: 919.2718,
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: 901.0267,
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: 928.8739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, f_measure: 0.9892, kappa: -0.0052, kb_relative_information_score: -786.9734, 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: 0.9503, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0787, root_relative_squared_error: 1.4098,
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: 941.1578,
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: 943.9149,
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: 916.9348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -95315.0024, mean_absolute_error: 0.2197, 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: 29.4583, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2632, root_relative_squared_error: 4.7152, scimark_benchmark: 898.4013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -2107.984, 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: 0.8064, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0599, root_relative_squared_error: 1.0726, scimark_benchmark: 944.4413,
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: 942.9448,
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: 910.1465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6616, 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: 946.3589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.992, kappa: -0.0024, kb_relative_information_score: -1031.9034, mean_absolute_error: 0.0052, 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: 0.6937, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0604, root_relative_squared_error: 1.0816, scimark_benchmark: 943.1797,
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: 948.0297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.9933, kappa: 0.297, kb_relative_information_score: -729.8429, mean_absolute_error: 0.0055, 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: 0.7379, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0644, root_relative_squared_error: 1.153, scimark_benchmark: 942.4168,
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: 944.5193,
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: 938.1873,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.993, kb_relative_information_score: -35299.0624, mean_absolute_error: 0.0224, 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: 3.0043, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0584, root_relative_squared_error: 1.0468, scimark_benchmark: 868.5563,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
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: 1367.4318,

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