OpenML
Supervised Classification on musk

Supervised Classification on musk

Task 146082 Supervised Classification musk 13306 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9854, kappa: 0.9435, kb_relative_information_score: 6068.1738, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9853, predictive_accuracy: 0.9855, prior_entropy: 0.6204, recall: 0.9855, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.2746, scimark_benchmark: 1240.4258, usercpu_time_millis: 487.856, usercpu_time_millis_testing: 3.609, usercpu_time_millis_training: 484.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.9343, kappa: 0.7391, kb_relative_information_score: 3910.5887, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9344, predictive_accuracy: 0.9368, prior_entropy: 0.6204, recall: 0.9368, relative_absolute_error: 0.3643, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.6196, scimark_benchmark: 1254.2887, usercpu_time_millis: 715.784, usercpu_time_millis_testing: 7.034, usercpu_time_millis_training: 708.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6537.3964, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.6204, recall: 0.9991, relative_absolute_error: 0.0095, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.028, root_relative_squared_error: 0.0776, scimark_benchmark: 1248.1734, usercpu_time_millis: 350.036, usercpu_time_millis_testing: 2.643, usercpu_time_millis_training: 347.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9745, kappa: 0.9012, kb_relative_information_score: 5496.4896, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9744, predictive_accuracy: 0.9747, prior_entropy: 0.6204, recall: 0.9747, relative_absolute_error: 0.1607, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1365, root_relative_squared_error: 0.3782, scimark_benchmark: 1243.1494, usercpu_time_millis: 342.678, usercpu_time_millis_testing: 2.376, usercpu_time_millis_training: 340.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.988, kappa: 0.9535, kb_relative_information_score: 6148.5401, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.988, predictive_accuracy: 0.988, prior_entropy: 0.6204, recall: 0.988, relative_absolute_error: 0.0667, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.2508, scimark_benchmark: 1251.8772, usercpu_time_millis: 467.668, usercpu_time_millis_testing: 3.505, usercpu_time_millis_training: 464.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9371, kappa: 0.7539, kb_relative_information_score: 4194.779, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9366, predictive_accuracy: 0.9385, prior_entropy: 0.6204, recall: 0.9385, relative_absolute_error: 0.3253, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.5925, scimark_benchmark: 1254.4136, usercpu_time_millis: 735.054, usercpu_time_millis_testing: 6.262, usercpu_time_millis_training: 728.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.9303, kappa: 0.7193, kb_relative_information_score: 3983.836, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9319, predictive_accuracy: 0.9342, prior_entropy: 0.6204, recall: 0.9342, relative_absolute_error: 0.3714, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.6073, scimark_benchmark: 1236.7855, usercpu_time_millis: 392.917, usercpu_time_millis_testing: 3.287, usercpu_time_millis_training: 389.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9888, kappa: 0.9569, kb_relative_information_score: 6083.4645, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9888, predictive_accuracy: 0.9888, prior_entropy: 0.6204, recall: 0.9888, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0939, root_relative_squared_error: 0.26, scimark_benchmark: 1250.6916, usercpu_time_millis: 382.66, usercpu_time_millis_testing: 2.921, usercpu_time_millis_training: 379.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9894, kappa: 0.9593, kb_relative_information_score: 6110.7418, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 0.6204, recall: 0.9894, relative_absolute_error: 0.0739, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.2621, scimark_benchmark: 1244.2309, usercpu_time_millis: 379.531, usercpu_time_millis_testing: 3.087, usercpu_time_millis_training: 376.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6556.3255, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0055, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0257, root_relative_squared_error: 0.0713, scimark_benchmark: 1247.0148, usercpu_time_millis: 298.293, usercpu_time_millis_testing: 0.97, usercpu_time_millis_training: 297.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6547.0829, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0234, root_relative_squared_error: 0.0647, scimark_benchmark: 1241.8483, usercpu_time_millis: 236.147, usercpu_time_millis_testing: 1.443, usercpu_time_millis_training: 234.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9979, kappa: 0.9919, kb_relative_information_score: 6480.2175, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.6204, recall: 0.9979, relative_absolute_error: 0.0174, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0421, root_relative_squared_error: 0.1166, scimark_benchmark: 1220.8238, usercpu_time_millis: 350.294, usercpu_time_millis_testing: 2.549, usercpu_time_millis_training: 347.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: 6481.1395, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.6204, recall: 0.9983, relative_absolute_error: 0.0183, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0354, root_relative_squared_error: 0.098, scimark_benchmark: 1261.9111, usercpu_time_millis: 558.51, usercpu_time_millis_testing: 3.349, usercpu_time_millis_training: 555.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9924, kappa: 0.9708, kb_relative_information_score: 6241.785, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 0.6204, recall: 0.9924, relative_absolute_error: 0.0541, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.218, scimark_benchmark: 1226.7284, usercpu_time_millis: 285.71, usercpu_time_millis_testing: 2.395, usercpu_time_millis_training: 283.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9413, kappa: 0.7717, kb_relative_information_score: 4386.8937, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9408, predictive_accuracy: 0.9421, prior_entropy: 0.6204, recall: 0.9421, relative_absolute_error: 0.3016, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.208, root_relative_squared_error: 0.5762, scimark_benchmark: 1221.1603, usercpu_time_millis: 620.289, usercpu_time_millis_testing: 6.953, usercpu_time_millis_training: 613.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.3745, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0158, root_relative_squared_error: 0.0436, scimark_benchmark: 1231.2319, usercpu_time_millis: 222.848, usercpu_time_millis_testing: 0.754, usercpu_time_millis_training: 222.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1221.1367, usercpu_time_millis: 216.918, usercpu_time_millis_testing: 0.685, usercpu_time_millis_training: 216.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9444, kappa: 0.7839, kb_relative_information_score: 4476.6888, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.944, predictive_accuracy: 0.9451, prior_entropy: 0.6204, recall: 0.9451, relative_absolute_error: 0.2912, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.566, scimark_benchmark: 1265.4865, usercpu_time_millis: 708.028, usercpu_time_millis_testing: 7.821, usercpu_time_millis_training: 700.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.998, kappa: 0.9925, kb_relative_information_score: 6494.7541, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.6204, recall: 0.998, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0432, root_relative_squared_error: 0.1198, scimark_benchmark: 1230.5914, usercpu_time_millis: 236.863, usercpu_time_millis_testing: 1.305, usercpu_time_millis_training: 235.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9664, kappa: 0.8689, kb_relative_information_score: 5313.2523, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9664, predictive_accuracy: 0.967, prior_entropy: 0.6204, recall: 0.967, relative_absolute_error: 0.1871, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.4384, scimark_benchmark: 1241.1676, usercpu_time_millis: 556.793, usercpu_time_millis_testing: 4.345, usercpu_time_millis_training: 552.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9726, kappa: 0.8937, kb_relative_information_score: 5607.8071, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9725, predictive_accuracy: 0.9729, prior_entropy: 0.6204, recall: 0.9729, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.3897, scimark_benchmark: 1236.5343, usercpu_time_millis: 629.167, usercpu_time_millis_testing: 5.899, usercpu_time_millis_training: 623.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9656, kappa: 0.866, kb_relative_information_score: 5284.1909, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9656, predictive_accuracy: 0.9662, prior_entropy: 0.6204, recall: 0.9662, relative_absolute_error: 0.191, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.4425, scimark_benchmark: 1240.5275, usercpu_time_millis: 586.959, usercpu_time_millis_testing: 4.005, usercpu_time_millis_training: 582.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6572.9781, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.6204, recall: 0.9998, relative_absolute_error: 0.0046, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0113, root_relative_squared_error: 0.0314, scimark_benchmark: 1244.2204, usercpu_time_millis: 376.895, usercpu_time_millis_testing: 2.547, usercpu_time_millis_training: 374.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9488, kappa: 0.7998, kb_relative_information_score: 4705.8905, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9485, predictive_accuracy: 0.9498, prior_entropy: 0.6204, recall: 0.9498, relative_absolute_error: 0.2724, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.195, root_relative_squared_error: 0.5401, scimark_benchmark: 1236.9584, usercpu_time_millis: 669.989, usercpu_time_millis_testing: 7.246, usercpu_time_millis_training: 662.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9529, kappa: 0.8136, kb_relative_information_score: 4879.4397, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9535, predictive_accuracy: 0.9545, prior_entropy: 0.6204, recall: 0.9545, relative_absolute_error: 0.2618, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.5029, scimark_benchmark: 1246.9218, usercpu_time_millis: 491.49, usercpu_time_millis_testing: 3.532, usercpu_time_millis_training: 487.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9646, kappa: 0.8621, kb_relative_information_score: 5161.1251, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9645, predictive_accuracy: 0.9651, prior_entropy: 0.6204, recall: 0.9651, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.4594, scimark_benchmark: 1234.4697, usercpu_time_millis: 609.593, usercpu_time_millis_testing: 5.472, usercpu_time_millis_training: 604.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9892, kappa: 0.9585, kb_relative_information_score: 6104.2003, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9892, predictive_accuracy: 0.9892, prior_entropy: 0.6204, recall: 0.9892, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.092, root_relative_squared_error: 0.2547, scimark_benchmark: 1254.9393, usercpu_time_millis: 340.657, usercpu_time_millis_testing: 2.672, usercpu_time_millis_training: 337.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.9194, kappa: 0.6731, kb_relative_information_score: 3499.019, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9216, predictive_accuracy: 0.9248, prior_entropy: 0.6204, recall: 0.9248, relative_absolute_error: 0.4408, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.245, root_relative_squared_error: 0.6784, scimark_benchmark: 1247.3374, usercpu_time_millis: 581.792, usercpu_time_millis_testing: 5.968, usercpu_time_millis_training: 575.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9678, kappa: 0.8748, kb_relative_information_score: 5380.3954, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9678, predictive_accuracy: 0.9683, prior_entropy: 0.6204, recall: 0.9683, relative_absolute_error: 0.1879, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.4263, scimark_benchmark: 1249.9885, usercpu_time_millis: 416.333, usercpu_time_millis_testing: 2.913, usercpu_time_millis_training: 413.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1265.1656, usercpu_time_millis: 257.391, usercpu_time_millis_testing: 0.805, usercpu_time_millis_training: 256.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1257.5475, usercpu_time_millis: 257.822, usercpu_time_millis_testing: 0.744, usercpu_time_millis_training: 257.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9646, kappa: 0.8624, kb_relative_information_score: 5175.1286, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9645, predictive_accuracy: 0.9651, prior_entropy: 0.6204, recall: 0.9651, relative_absolute_error: 0.2127, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.4617, scimark_benchmark: 1241.5924, usercpu_time_millis: 836.857, usercpu_time_millis_testing: 9.685, usercpu_time_millis_training: 827.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9358, kappa: 0.7457, kb_relative_information_score: 3964.0855, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9358, predictive_accuracy: 0.9382, prior_entropy: 0.6204, recall: 0.9382, relative_absolute_error: 0.3563, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.6114, scimark_benchmark: 1243.4434, usercpu_time_millis: 793.033, usercpu_time_millis_testing: 9.001, usercpu_time_millis_training: 784.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9488, kappa: 0.8, kb_relative_information_score: 4702.9477, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9485, predictive_accuracy: 0.9498, prior_entropy: 0.6204, recall: 0.9498, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.5408, scimark_benchmark: 1271.4293, usercpu_time_millis: 810.619, usercpu_time_millis_testing: 7.308, usercpu_time_millis_training: 803.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.9196, kappa: 0.6736, kb_relative_information_score: 3504.6283, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9218, predictive_accuracy: 0.925, prior_entropy: 0.6204, recall: 0.925, relative_absolute_error: 0.4399, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.6781, scimark_benchmark: 1272.3602, usercpu_time_millis: 720.661, usercpu_time_millis_testing: 6.75, usercpu_time_millis_training: 713.911,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.958, kappa: 0.8358, kb_relative_information_score: 5000.8036, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.958, predictive_accuracy: 0.9589, prior_entropy: 0.6204, recall: 0.9589, relative_absolute_error: 0.2297, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.176, root_relative_squared_error: 0.4875, scimark_benchmark: 1259.2115, usercpu_time_millis: 636.766, usercpu_time_millis_testing: 4.699, usercpu_time_millis_training: 632.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1261.0365, usercpu_time_millis: 287.842, usercpu_time_millis_testing: 0.883, usercpu_time_millis_training: 286.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1259.2013, usercpu_time_millis: 294.766, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 293.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.9382, kappa: 0.7557, kb_relative_information_score: 4041.2912, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9382, predictive_accuracy: 0.9403, prior_entropy: 0.6204, recall: 0.9403, relative_absolute_error: 0.3463, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.606, scimark_benchmark: 1243.1563, usercpu_time_millis: 624.601, usercpu_time_millis_testing: 5.915, usercpu_time_millis_training: 618.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9648, kappa: 0.8631, kb_relative_information_score: 5191.0685, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9647, predictive_accuracy: 0.9653, prior_entropy: 0.6204, recall: 0.9653, relative_absolute_error: 0.2111, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.4592, scimark_benchmark: 1241.3564, usercpu_time_millis: 638.41, usercpu_time_millis_testing: 7.266, usercpu_time_millis_training: 631.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9942, kb_relative_information_score: 6521.1019, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.6204, recall: 0.9985, relative_absolute_error: 0.0118, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0337, root_relative_squared_error: 0.0932, scimark_benchmark: 1262.4791, usercpu_time_millis: 303.994, usercpu_time_millis_testing: 1.586, usercpu_time_millis_training: 302.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6574.57, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0032, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0181, root_relative_squared_error: 0.0502, scimark_benchmark: 1248.9928, usercpu_time_millis: 278.904, usercpu_time_millis_testing: 0.851, usercpu_time_millis_training: 278.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9634, kappa: 0.857, kb_relative_information_score: 5180.1841, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9636, predictive_accuracy: 0.9642, prior_entropy: 0.6204, recall: 0.9642, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.4682, scimark_benchmark: 1264.2067, usercpu_time_millis: 617.521, usercpu_time_millis_testing: 4.946, usercpu_time_millis_training: 612.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1237.3452, usercpu_time_millis: 232.429, usercpu_time_millis_testing: 0.771, usercpu_time_millis_training: 231.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9918, kappa: 0.9684, kb_relative_information_score: 6211.4392, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9918, predictive_accuracy: 0.9918, prior_entropy: 0.6204, recall: 0.9918, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.2263, scimark_benchmark: 1257.8829, usercpu_time_millis: 332.749, usercpu_time_millis_testing: 2.4, usercpu_time_millis_training: 330.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1261.3715, usercpu_time_millis: 289.092, usercpu_time_millis_testing: 0.818, usercpu_time_millis_training: 288.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9652, kappa: 0.8649, kb_relative_information_score: 5199.1249, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.965, predictive_accuracy: 0.9656, prior_entropy: 0.6204, recall: 0.9656, relative_absolute_error: 0.2119, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.4523, scimark_benchmark: 1242.9505, usercpu_time_millis: 598.164, usercpu_time_millis_testing: 5.5, usercpu_time_millis_training: 592.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: 6495.87, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.6204, recall: 0.9986, relative_absolute_error: 0.0158, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0354, root_relative_squared_error: 0.0979, scimark_benchmark: 1244.8153, usercpu_time_millis: 549.694, usercpu_time_millis_testing: 4.353, usercpu_time_millis_training: 545.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6574.853, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.6204, recall: 0.9998, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0104, root_relative_squared_error: 0.0287, scimark_benchmark: 1247.2256, usercpu_time_millis: 376.506, usercpu_time_millis_testing: 2.93, usercpu_time_millis_training: 373.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: 6556.0419, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.6204, recall: 0.9992, relative_absolute_error: 0.0055, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0259, root_relative_squared_error: 0.0717, scimark_benchmark: 1264.4218, usercpu_time_millis: 262.834, usercpu_time_millis_testing: 0.973, usercpu_time_millis_training: 261.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9488, kappa: 0.8, kb_relative_information_score: 4703.2753, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9485, predictive_accuracy: 0.9498, prior_entropy: 0.6204, recall: 0.9498, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.5408, scimark_benchmark: 1255.6398, usercpu_time_millis: 697.293, usercpu_time_millis_testing: 4.901, usercpu_time_millis_training: 692.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9756, kappa: 0.9049, kb_relative_information_score: 5703.4947, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9756, predictive_accuracy: 0.9759, prior_entropy: 0.6204, recall: 0.9759, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.134, root_relative_squared_error: 0.3712, scimark_benchmark: 1260.0899, usercpu_time_millis: 488.058, usercpu_time_millis_testing: 4.872, usercpu_time_millis_training: 483.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1250.7475, usercpu_time_millis: 292.203, usercpu_time_millis_testing: 0.776, usercpu_time_millis_training: 291.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1245.0325, usercpu_time_millis: 240.645, usercpu_time_millis_testing: 0.666, usercpu_time_millis_training: 239.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9942, kb_relative_information_score: 6530.9135, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.6204, recall: 0.9985, relative_absolute_error: 0.0106, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0362, root_relative_squared_error: 0.1002, scimark_benchmark: 1261.8049, usercpu_time_millis: 237.259, usercpu_time_millis_testing: 1.088, usercpu_time_millis_training: 236.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6547.5431, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 0.0082, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0232, root_relative_squared_error: 0.0644, scimark_benchmark: 1243.4027, usercpu_time_millis: 270.775, usercpu_time_millis_testing: 1.451, usercpu_time_millis_training: 269.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.962, kappa: 0.8519, kb_relative_information_score: 5052.1707, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.962, predictive_accuracy: 0.9627, prior_entropy: 0.6204, recall: 0.9627, relative_absolute_error: 0.2211, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.173, root_relative_squared_error: 0.4791, scimark_benchmark: 1234.0758, usercpu_time_millis: 549.893, usercpu_time_millis_testing: 5.389, usercpu_time_millis_training: 544.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9523, kappa: 0.8133, kb_relative_information_score: 4843.5942, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9521, predictive_accuracy: 0.9533, prior_entropy: 0.6204, recall: 0.9533, relative_absolute_error: 0.2526, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.5149, scimark_benchmark: 1281.0819, usercpu_time_millis: 623.483, usercpu_time_millis_testing: 5.923, usercpu_time_millis_training: 617.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.9195, kappa: 0.673, kb_relative_information_score: 3495.9222, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9219, predictive_accuracy: 0.925, prior_entropy: 0.6204, recall: 0.925, relative_absolute_error: 0.4415, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.245, root_relative_squared_error: 0.6786, scimark_benchmark: 1267.8875, usercpu_time_millis: 602.734, usercpu_time_millis_testing: 4.784, usercpu_time_millis_training: 597.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6575.0688, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0157, root_relative_squared_error: 0.0434, scimark_benchmark: 1266.7459, usercpu_time_millis: 256.847, usercpu_time_millis_testing: 1.615, usercpu_time_millis_training: 255.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9491, kappa: 0.8008, kb_relative_information_score: 4704.1396, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9488, predictive_accuracy: 0.9501, prior_entropy: 0.6204, recall: 0.9501, relative_absolute_error: 0.2719, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.195, root_relative_squared_error: 0.5399, scimark_benchmark: 1234.5371, usercpu_time_millis: 596.682, usercpu_time_millis_testing: 5.605, usercpu_time_millis_training: 591.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6535.4425, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 0.0095, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0239, root_relative_squared_error: 0.0661, scimark_benchmark: 1245.0277, usercpu_time_millis: 402.244, usercpu_time_millis_testing: 2.684, usercpu_time_millis_training: 399.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9518, kappa: 0.8097, kb_relative_information_score: 4600.9416, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9521, predictive_accuracy: 0.9533, prior_entropy: 0.6204, recall: 0.9533, relative_absolute_error: 0.2877, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.189, root_relative_squared_error: 0.5234, scimark_benchmark: 1256.5559, usercpu_time_millis: 415.383, usercpu_time_millis_testing: 3.005, usercpu_time_millis_training: 412.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9976, kappa: 0.9907, kb_relative_information_score: 6474.5872, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.6204, recall: 0.9976, relative_absolute_error: 0.0181, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.1305, scimark_benchmark: 1242.8684, usercpu_time_millis: 259.883, usercpu_time_millis_testing: 1.217, usercpu_time_millis_training: 258.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9953, kappa: 0.982, kb_relative_information_score: 6366.9853, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 0.6204, recall: 0.9953, relative_absolute_error: 0.0365, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0642, root_relative_squared_error: 0.1779, scimark_benchmark: 1251.9877, usercpu_time_millis: 310.6, usercpu_time_millis_testing: 1.678, usercpu_time_millis_training: 308.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1271.765, usercpu_time_millis: 255.724, usercpu_time_millis_testing: 0.753, usercpu_time_millis_training: 254.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1276.0107, usercpu_time_millis: 253.167, usercpu_time_millis_testing: 0.769, usercpu_time_millis_training: 252.398,

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

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