OpenML
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 145834 Supervised Classification banknote-authentication 43620 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9767, kappa: 0.9529, kb_relative_information_score: 1082.6955, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9769, predictive_accuracy: 0.9767, prior_entropy: 0.9912, recall: 0.9767, relative_absolute_error: 0.2525, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.174, root_relative_squared_error: 0.3502, scimark_benchmark: 1840.662, usercpu_time_millis: 4.754, usercpu_time_millis_testing: 0.594, usercpu_time_millis_training: 4.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9811, kappa: 0.9617, kb_relative_information_score: 1110.1254, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9812, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.2302, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.3269, scimark_benchmark: 1854.8662, usercpu_time_millis: 4.99, usercpu_time_millis_testing: 0.563, usercpu_time_millis_training: 4.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9723, kappa: 0.9441, kb_relative_information_score: 1115.7993, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9726, predictive_accuracy: 0.9723, prior_entropy: 0.9912, recall: 0.9723, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.3535, scimark_benchmark: 1735.5563, usercpu_time_millis: 1.601, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 1.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1303.6485, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.1634, scimark_benchmark: 1840.662, usercpu_time_millis: 4.073, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 3.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1330.9273, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0345, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.1497, scimark_benchmark: 1878.5524, usercpu_time_millis: 1.494, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 1.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9482, kappa: 0.895, kb_relative_information_score: 1085.2665, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9483, predictive_accuracy: 0.9483, prior_entropy: 0.9912, recall: 0.9483, relative_absolute_error: 0.2355, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.4093, scimark_benchmark: 1860.4615, usercpu_time_millis: 4.007, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 3.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1304.9203, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.059, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.081, root_relative_squared_error: 0.1629, scimark_benchmark: 1864.7294, usercpu_time_millis: 3.13, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 2.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.8826, kappa: 0.762, kb_relative_information_score: 554.4694, mean_absolute_error: 0.3233, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8825, predictive_accuracy: 0.8827, prior_entropy: 0.9912, recall: 0.8827, relative_absolute_error: 0.6547, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3509, root_relative_squared_error: 0.7061, scimark_benchmark: 1836.6598, usercpu_time_millis: 1.983, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 1.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1285.8146, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0725, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.2166, scimark_benchmark: 1865.5486, usercpu_time_millis: 5.995, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 5.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1319.7725, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0433, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.18, scimark_benchmark: 1861.2508, usercpu_time_millis: 6.502, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 6.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1236.3628, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.1226, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.213, scimark_benchmark: 1867.3397, usercpu_time_millis: 4.191, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 3.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3966, kb_relative_information_score: -0.014, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1770.2991, usercpu_time_millis: 0.785, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 0.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.8923, kappa: 0.7812, kb_relative_information_score: 467.6671, mean_absolute_error: 0.3543, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8994, predictive_accuracy: 0.8936, prior_entropy: 0.9912, recall: 0.8936, relative_absolute_error: 0.7173, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7504, scimark_benchmark: 1833.8204, usercpu_time_millis: 0.731, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9408, kappa: 0.88, kb_relative_information_score: 1063.3438, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9412, predictive_accuracy: 0.941, prior_entropy: 0.9912, recall: 0.941, relative_absolute_error: 0.2524, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4292, scimark_benchmark: 1868.1832, usercpu_time_millis: 0.493, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1311.456, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0531, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.156, scimark_benchmark: 1048.4101, usercpu_time_millis: 10.17, usercpu_time_millis_testing: 0.767, usercpu_time_millis_training: 9.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9949, kappa: 0.9897, kb_relative_information_score: 1334.4611, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 0.9912, recall: 0.9949, relative_absolute_error: 0.0313, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.1515, scimark_benchmark: 1097.7624, usercpu_time_millis: 8.759, usercpu_time_millis_testing: 0.468, usercpu_time_millis_training: 8.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1207.287, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.1468, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.2481, scimark_benchmark: 1779.2887, usercpu_time_millis: 8.334, usercpu_time_millis_testing: 0.652, usercpu_time_millis_training: 7.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.976, kappa: 0.9514, kb_relative_information_score: 1140.5084, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9761, predictive_accuracy: 0.9759, prior_entropy: 0.9912, recall: 0.9759, relative_absolute_error: 0.1985, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.329, scimark_benchmark: 1862.0186, usercpu_time_millis: 5.221, usercpu_time_millis_testing: 0.533, usercpu_time_millis_training: 4.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9949, kappa: 0.9897, kb_relative_information_score: 1335.8944, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 0.9912, recall: 0.9949, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0741, root_relative_squared_error: 0.1492, scimark_benchmark: 1728.5144, usercpu_time_millis: 4.674, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 4.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1326.4605, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0386, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.1536, scimark_benchmark: 1860.5298, usercpu_time_millis: 3.733, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 3.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9767, kappa: 0.9528, kb_relative_information_score: 1218.1058, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9767, predictive_accuracy: 0.9767, prior_entropy: 0.9912, recall: 0.9767, relative_absolute_error: 0.1288, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.2894, scimark_benchmark: 1047.5325, usercpu_time_millis: 2.891, usercpu_time_millis_testing: 0.205, usercpu_time_millis_training: 2.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1287.9523, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0711, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.2095, scimark_benchmark: 1865.6227, usercpu_time_millis: 6.585, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 6.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9694, kappa: 0.9381, kb_relative_information_score: 1103.043, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9696, predictive_accuracy: 0.9694, prior_entropy: 0.9912, recall: 0.9694, relative_absolute_error: 0.2283, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.3636, scimark_benchmark: 1869.8223, usercpu_time_millis: 4.096, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 3.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9701, kappa: 0.9396, kb_relative_information_score: 1113.6919, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9704, predictive_accuracy: 0.9701, prior_entropy: 0.9912, recall: 0.9701, relative_absolute_error: 0.2199, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3541, scimark_benchmark: 1865.0235, usercpu_time_millis: 1.473, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 1.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.0334, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1758.108, usercpu_time_millis: 1.687, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 1.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1319.7683, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.045, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0761, root_relative_squared_error: 0.1531, scimark_benchmark: 1864.1101, usercpu_time_millis: 0.521, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1292.9668, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0696, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.1775, scimark_benchmark: 1864.5074, usercpu_time_millis: 2.882, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 2.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9628, kappa: 0.9248, kb_relative_information_score: 965.1361, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9629, predictive_accuracy: 0.9628, prior_entropy: 0.9912, recall: 0.9628, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.4458, scimark_benchmark: 1866.2865, usercpu_time_millis: 2.352, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 2.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1284.9532, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0735, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1071, root_relative_squared_error: 0.2155, scimark_benchmark: 1746.5648, usercpu_time_millis: 1.156, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 1.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: -0.0651, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1868.7112, usercpu_time_millis: 1.26, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 1.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.8806, kappa: 0.7588, kb_relative_information_score: 745.0217, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8812, predictive_accuracy: 0.8805, prior_entropy: 0.9912, recall: 0.8805, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.6046, scimark_benchmark: 1869.7524, usercpu_time_millis: 1.69, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 1.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3966, kb_relative_information_score: -0.0636, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1869.2942, usercpu_time_millis: 0.888, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 0.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9504, kappa: 0.8995, kb_relative_information_score: 1075.9779, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9505, predictive_accuracy: 0.9504, prior_entropy: 0.9912, recall: 0.9504, relative_absolute_error: 0.2432, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.415, scimark_benchmark: 1869.2942, usercpu_time_millis: 3.642, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 3.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9687, kappa: 0.9365, kb_relative_information_score: 1176.2207, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9687, predictive_accuracy: 0.9687, prior_entropy: 0.9912, recall: 0.9687, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3304, scimark_benchmark: 1873.5991, usercpu_time_millis: 0.817, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9423, kappa: 0.883, kb_relative_information_score: 1029.3743, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9426, predictive_accuracy: 0.9424, prior_entropy: 0.9912, recall: 0.9424, relative_absolute_error: 0.2796, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.4574, scimark_benchmark: 1752.8523, usercpu_time_millis: 1.733, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 1.597,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1283.8926, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0747, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.107, root_relative_squared_error: 0.2153, scimark_benchmark: 1762.2909, usercpu_time_millis: 7.558, usercpu_time_millis_testing: 0.529, usercpu_time_millis_training: 7.029,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9329, kappa: 0.864, kb_relative_information_score: 1080.4434, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9329, predictive_accuracy: 0.9329, prior_entropy: 0.9912, recall: 0.9329, relative_absolute_error: 0.2332, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.217, root_relative_squared_error: 0.4367, scimark_benchmark: 1737.5952, usercpu_time_millis: 8.85, usercpu_time_millis_testing: 0.681, usercpu_time_millis_training: 8.169,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9172, kappa: 0.832, kb_relative_information_score: 955.5983, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9189, predictive_accuracy: 0.9176, prior_entropy: 0.9912, recall: 0.9176, relative_absolute_error: 0.3368, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.5123, scimark_benchmark: 1745.6592, usercpu_time_millis: 2.586, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 2.341,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1246.0188, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.114, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1015, root_relative_squared_error: 0.2043, scimark_benchmark: 1381.639, usercpu_time_millis: 3.201, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 2.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1288.2948, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0754, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.083, root_relative_squared_error: 0.1671, scimark_benchmark: 1374.4884, usercpu_time_millis: 8.838, usercpu_time_millis_testing: 0.862, usercpu_time_millis_training: 7.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1302.3996, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0611, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.1676, scimark_benchmark: 1375.1834, usercpu_time_millis: 5.509, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 5.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1238.6983, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.1174, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.2336, scimark_benchmark: 1369.625, usercpu_time_millis: 4.502, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 4.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.1662, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1375.1914, usercpu_time_millis: 1.321, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 1.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1305.1703, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0588, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.1622, scimark_benchmark: 1379.0704, usercpu_time_millis: 4.63, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 4.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1301.4653, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0623, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.1655, scimark_benchmark: 1379.4929, usercpu_time_millis: 2.984, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 2.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1217.878, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.1354, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.2528, scimark_benchmark: 1383.1808, usercpu_time_millis: 2.376, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 2.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9709, kappa: 0.9411, kb_relative_information_score: 1012.5436, mean_absolute_error: 0.1525, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9712, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.203, root_relative_squared_error: 0.4085, scimark_benchmark: 1363.0548, usercpu_time_millis: 1.808, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 1.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: 0.0206, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1385.0358, usercpu_time_millis: 1.381, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 1.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3966, kb_relative_information_score: 0.0041, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1375.5002, usercpu_time_millis: 1.951, usercpu_time_millis_testing: 0.349, usercpu_time_millis_training: 1.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9737, kappa: 0.9467, kb_relative_information_score: 1199.0259, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9741, predictive_accuracy: 0.9738, prior_entropy: 0.9912, recall: 0.9738, relative_absolute_error: 0.145, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.3011, scimark_benchmark: 1373.8955, usercpu_time_millis: 3.39, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 3.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1290.1747, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0708, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.1906, scimark_benchmark: 1380.3733, usercpu_time_millis: 6.066, usercpu_time_millis_testing: 0.486, usercpu_time_millis_training: 5.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9687, kappa: 0.9367, kb_relative_information_score: 1105.9378, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9689, predictive_accuracy: 0.9687, prior_entropy: 0.9912, recall: 0.9687, relative_absolute_error: 0.2259, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3626, scimark_benchmark: 1379.0093, usercpu_time_millis: 3.421, usercpu_time_millis_testing: 0.316, usercpu_time_millis_training: 3.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1174.5396, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.1759, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1354, root_relative_squared_error: 0.2724, scimark_benchmark: 1382.974, usercpu_time_millis: 1.542, usercpu_time_millis_testing: 0.205, usercpu_time_millis_training: 1.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9716, kappa: 0.9426, kb_relative_information_score: 1062.9761, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9721, predictive_accuracy: 0.9716, prior_entropy: 0.9912, recall: 0.9716, relative_absolute_error: 0.2664, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.3753, scimark_benchmark: 1380.1653, usercpu_time_millis: 6.54, usercpu_time_millis_testing: 0.591, usercpu_time_millis_training: 5.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.8837, kappa: 0.7638, kb_relative_information_score: 451.8097, mean_absolute_error: 0.3597, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8886, predictive_accuracy: 0.8848, prior_entropy: 0.9912, recall: 0.8848, relative_absolute_error: 0.7283, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7596, scimark_benchmark: 1378.1166, usercpu_time_millis: 0.117, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9658, kappa: 0.9307, kb_relative_information_score: 1074.4415, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9659, predictive_accuracy: 0.9657, prior_entropy: 0.9912, recall: 0.9657, relative_absolute_error: 0.2505, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.3949, scimark_benchmark: 1377.0124, usercpu_time_millis: 4.049, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 3.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1265.5742, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.0919, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.2192, scimark_benchmark: 1382.2748, usercpu_time_millis: 3.427, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 3.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1300.4381, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0627, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0845, root_relative_squared_error: 0.17, scimark_benchmark: 1381.1662, usercpu_time_millis: 0.665, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1319.2459, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0454, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.1573, scimark_benchmark: 1384.6906, usercpu_time_millis: 9.487, usercpu_time_millis_testing: 0.496, usercpu_time_millis_training: 8.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: -0.4648, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1370.2662, usercpu_time_millis: 0.253, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1220.4347, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.1325, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1265, root_relative_squared_error: 0.2547, scimark_benchmark: 1377.3814, usercpu_time_millis: 0.09, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1330.3537, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0351, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.1497, scimark_benchmark: 1376.9573, usercpu_time_millis: 10.057, usercpu_time_millis_testing: 0.546, usercpu_time_millis_training: 9.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1242.9069, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.1136, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1135, root_relative_squared_error: 0.2285, scimark_benchmark: 1385.6468, usercpu_time_millis: 6.85, usercpu_time_millis_testing: 0.671, usercpu_time_millis_training: 6.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1321.2527, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0416, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.1784, scimark_benchmark: 1379.5421, usercpu_time_millis: 0.557, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.926, kappa: 0.8498, kb_relative_information_score: 850.2823, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9279, predictive_accuracy: 0.9264, prior_entropy: 0.9912, recall: 0.9264, relative_absolute_error: 0.4345, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.5262, scimark_benchmark: 1381.9557, usercpu_time_millis: 4.482, usercpu_time_millis_testing: 0.582, usercpu_time_millis_training: 3.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1308.2738, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.08, root_relative_squared_error: 0.1611, scimark_benchmark: 1383.1816, usercpu_time_millis: 5.254, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 4.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0257, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1399.435, usercpu_time_millis: 0.804, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 0.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.893, kappa: 0.7828, kb_relative_information_score: 515.9346, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9, predictive_accuracy: 0.8943, prior_entropy: 0.9912, recall: 0.8943, relative_absolute_error: 0.6827, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.726, scimark_benchmark: 1379.5474, usercpu_time_millis: 1.852, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 1.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1313.3444, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0513, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0774, root_relative_squared_error: 0.1557, scimark_benchmark: 1375.8683, usercpu_time_millis: 5.462, usercpu_time_millis_testing: 0.47, usercpu_time_millis_training: 4.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1301.4302, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0597, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.1963, scimark_benchmark: 1381.2905, usercpu_time_millis: 3.012, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 2.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1281.432, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.082, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.1708, scimark_benchmark: 1379.9761, usercpu_time_millis: 5.514, usercpu_time_millis_testing: 0.458, usercpu_time_millis_training: 5.056,

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