OpenML
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 145834 Supervised Classification banknote-authentication 43621 runs submitted
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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: 1298.5777, mean_absolute_error: 0.0315, 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: 0.0639, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0872, root_relative_squared_error: 0.1755, scimark_benchmark: 1732.5758, usercpu_time_millis: 9.415, usercpu_time_millis_testing: 0.974, usercpu_time_millis_training: 8.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9482, kappa: 0.895, kb_relative_information_score: 1084.0876, mean_absolute_error: 0.1166, 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: 0.2361, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.4103, scimark_benchmark: 1727.8526, usercpu_time_millis: 3.133, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 2.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9694, kappa: 0.9381, kb_relative_information_score: 1128.5814, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9695, predictive_accuracy: 0.9694, prior_entropy: 0.9912, recall: 0.9694, relative_absolute_error: 0.2057, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.3492, scimark_benchmark: 1743.36, usercpu_time_millis: 0.651, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9628, kappa: 0.9248, kb_relative_information_score: 1065.955, mean_absolute_error: 0.1265, 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: 0.2562, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4013, scimark_benchmark: 1750.1949, usercpu_time_millis: 4.627, usercpu_time_millis_testing: 0.577, usercpu_time_millis_training: 4.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9796, kappa: 0.9587, kb_relative_information_score: 1086.8987, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9796, predictive_accuracy: 0.9796, prior_entropy: 0.9912, recall: 0.9796, relative_absolute_error: 0.2475, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.3517, scimark_benchmark: 1739.7662, usercpu_time_millis: 1.583, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 1.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1308.6779, mean_absolute_error: 0.0263, 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: 0.0533, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.089, root_relative_squared_error: 0.1792, scimark_benchmark: 1697.5665, usercpu_time_millis: 0.755, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1312.6938, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9877, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0475, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.2078, scimark_benchmark: 1736.5778, usercpu_time_millis: 13.669, usercpu_time_millis_testing: 0.973, usercpu_time_millis_training: 12.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: -0.0478, 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: 1727.2433, usercpu_time_millis: 1.794, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 1.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1304.7094, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.056, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.2001, scimark_benchmark: 1783.1767, usercpu_time_millis: 4.675, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 4.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9656, kappa: 0.9303, kb_relative_information_score: 1169.7895, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9667, predictive_accuracy: 0.9657, prior_entropy: 0.9912, recall: 0.9657, relative_absolute_error: 0.1661, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.3359, scimark_benchmark: 1808.7098, usercpu_time_millis: 6.261, usercpu_time_millis_testing: 0.445, usercpu_time_millis_training: 5.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1266.4636, mean_absolute_error: 0.0455, 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: 0.0921, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.2101, scimark_benchmark: 1728.0127, usercpu_time_millis: 7.881, usercpu_time_millis_testing: 0.873, usercpu_time_millis_training: 7.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.8575, kappa: 0.7125, kb_relative_information_score: 658.3176, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8591, predictive_accuracy: 0.8571, prior_entropy: 0.9912, recall: 0.8571, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6736, scimark_benchmark: 1748.6989, usercpu_time_millis: 2.541, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 2.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1258.0551, mean_absolute_error: 0.0504, 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: 0.1021, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0996, root_relative_squared_error: 0.2005, scimark_benchmark: 1741.936, usercpu_time_millis: 9.563, usercpu_time_millis_testing: 1.116, usercpu_time_millis_training: 8.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1265.9511, mean_absolute_error: 0.0439, 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: 0.0888, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1203, root_relative_squared_error: 0.242, scimark_benchmark: 1747.6797, usercpu_time_millis: 8.365, usercpu_time_millis_testing: 0.604, usercpu_time_millis_training: 7.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9701, kappa: 0.9396, kb_relative_information_score: 1028.417, mean_absolute_error: 0.1456, 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: 0.2949, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.198, root_relative_squared_error: 0.3985, scimark_benchmark: 1732.9057, usercpu_time_millis: 2.43, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 2.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9179, kappa: 0.8334, kb_relative_information_score: 977.4871, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9198, predictive_accuracy: 0.9184, prior_entropy: 0.9912, recall: 0.9184, relative_absolute_error: 0.3174, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.511, scimark_benchmark: 1767.1475, usercpu_time_millis: 1.702, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 1.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1280.0842, mean_absolute_error: 0.0403, 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: 0.0816, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0919, root_relative_squared_error: 0.1849, scimark_benchmark: 1817.9339, usercpu_time_millis: 1.775, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 1.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1244.1783, mean_absolute_error: 0.0566, 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: 0.1145, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2133, scimark_benchmark: 1963.8925, usercpu_time_millis: 4.261, usercpu_time_millis_testing: 0.461, usercpu_time_millis_training: 3.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: -0.034, 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: 1752.857, usercpu_time_millis: 2.029, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 1.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: -0.0505, 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: 1744.3805, usercpu_time_millis: 2.185, usercpu_time_millis_testing: 0.331, usercpu_time_millis_training: 1.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1315.3327, mean_absolute_error: 0.0236, 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: 0.0478, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.1659, scimark_benchmark: 1724.9766, usercpu_time_millis: 3.328, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 3.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1216.196, mean_absolute_error: 0.0684, 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: 0.1384, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1213, root_relative_squared_error: 0.2441, scimark_benchmark: 1728.4611, usercpu_time_millis: 0.652, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1291.4219, mean_absolute_error: 0.0336, 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: 0.0681, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1042, root_relative_squared_error: 0.2096, scimark_benchmark: 1722.7167, usercpu_time_millis: 7.458, usercpu_time_millis_testing: 0.631, usercpu_time_millis_training: 6.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9854, kappa: 0.9704, kb_relative_information_score: 1261.8952, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9855, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.0946, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.2249, scimark_benchmark: 1741.1477, usercpu_time_millis: 5.983, usercpu_time_millis_testing: 0.655, usercpu_time_millis_training: 5.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9467, kappa: 0.892, kb_relative_information_score: 1085.2191, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9469, predictive_accuracy: 0.9468, prior_entropy: 0.9912, recall: 0.9468, relative_absolute_error: 0.2351, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.4083, scimark_benchmark: 1949.3289, usercpu_time_millis: 5.91, usercpu_time_millis_testing: 0.564, usercpu_time_millis_training: 5.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9248, kappa: 0.8474, kb_relative_information_score: 1052.6806, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9251, predictive_accuracy: 0.9249, prior_entropy: 0.9912, recall: 0.9249, relative_absolute_error: 0.2539, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.4654, scimark_benchmark: 1767.0841, usercpu_time_millis: 8.206, usercpu_time_millis_testing: 0.659, usercpu_time_millis_training: 7.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1200.1231, mean_absolute_error: 0.0756, 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: 0.153, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1265, root_relative_squared_error: 0.2546, scimark_benchmark: 1728.0127, usercpu_time_millis: 1.614, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 1.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1295.2869, mean_absolute_error: 0.033, 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: 0.0669, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.1788, scimark_benchmark: 1724.3964, usercpu_time_millis: 4.543, usercpu_time_millis_testing: 0.445, usercpu_time_millis_training: 4.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9679, kappa: 0.9351, kb_relative_information_score: 1031.4806, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.968, predictive_accuracy: 0.9679, prior_entropy: 0.9912, recall: 0.9679, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.197, root_relative_squared_error: 0.3964, scimark_benchmark: 1722.6744, usercpu_time_millis: 0.835, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1177.8215, mean_absolute_error: 0.0853, 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: 0.1727, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1351, root_relative_squared_error: 0.2718, scimark_benchmark: 1752.1099, usercpu_time_millis: 8.691, usercpu_time_millis_testing: 1.08, usercpu_time_millis_training: 7.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1254.077, mean_absolute_error: 0.0508, 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: 0.1029, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.2221, scimark_benchmark: 1757.3182, usercpu_time_millis: 3.818, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 3.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9034, kappa: 0.8038, kb_relative_information_score: 884.1067, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9047, predictive_accuracy: 0.9038, prior_entropy: 0.9912, recall: 0.9038, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2716, root_relative_squared_error: 0.5465, scimark_benchmark: 1793.1013, usercpu_time_millis: 4.102, usercpu_time_millis_testing: 0.555, usercpu_time_millis_training: 3.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1305.9982, mean_absolute_error: 0.0277, 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: 0.0561, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.088, root_relative_squared_error: 0.1771, scimark_benchmark: 1777.1361, usercpu_time_millis: 8.708, usercpu_time_millis_testing: 0.75, usercpu_time_millis_training: 7.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9643, kappa: 0.9276, kb_relative_information_score: 1156.0732, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9643, predictive_accuracy: 0.9643, prior_entropy: 0.9912, recall: 0.9643, relative_absolute_error: 0.1777, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.3492, scimark_benchmark: 1741.9399, usercpu_time_millis: 1.908, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 1.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1273.9319, mean_absolute_error: 0.0413, 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: 0.0837, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.2183, scimark_benchmark: 1729.8227, usercpu_time_millis: 11.85, usercpu_time_millis_testing: 0.931, usercpu_time_millis_training: 10.919,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9635, kappa: 0.9261, kb_relative_information_score: 1152.6426, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9636, predictive_accuracy: 0.9636, prior_entropy: 0.9912, recall: 0.9636, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3515, scimark_benchmark: 1739.311, usercpu_time_millis: 7.464, usercpu_time_millis_testing: 0.65, usercpu_time_millis_training: 6.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1144.5307, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.1993, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.3072, scimark_benchmark: 1736.1889, usercpu_time_millis: 1.514, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 1.143,
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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: 1292.9187, mean_absolute_error: 0.0341, 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: 0.069, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.1813, scimark_benchmark: 1786.9953, usercpu_time_millis: 1.506, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 1.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1279.9539, mean_absolute_error: 0.0396, 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: 0.0803, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.1981, scimark_benchmark: 1773.3448, usercpu_time_millis: 1.67, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 1.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9774, kappa: 0.9541, kb_relative_information_score: 1207.984, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9776, predictive_accuracy: 0.9774, prior_entropy: 0.9912, recall: 0.9774, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1432, root_relative_squared_error: 0.2882, scimark_benchmark: 1733.8168, usercpu_time_millis: 4.53, usercpu_time_millis_testing: 0.573, usercpu_time_millis_training: 3.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1253.7554, mean_absolute_error: 0.0521, 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: 0.1055, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.2079, scimark_benchmark: 1790.3671, usercpu_time_millis: 6.518, usercpu_time_millis_testing: 0.826, usercpu_time_millis_training: 5.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1289.8855, mean_absolute_error: 0.034, 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: 0.0689, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.2138, scimark_benchmark: 1816.1397, usercpu_time_millis: 11.506, usercpu_time_millis_testing: 0.933, usercpu_time_millis_training: 10.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: 0.0118, 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: 1792.1769, usercpu_time_millis: 0.655, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 0.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9628, kappa: 0.9248, kb_relative_information_score: 973.7395, mean_absolute_error: 0.1669, 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: 0.338, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.22, root_relative_squared_error: 0.4427, scimark_benchmark: 1722.1444, usercpu_time_millis: 0.748, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1300.5215, mean_absolute_error: 0.0301, 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: 0.061, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.1835, scimark_benchmark: 1793.0849, usercpu_time_millis: 3.094, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 2.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.044, 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: 1733.4679, usercpu_time_millis: 0.905, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 0.789,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1264.5239, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.0921, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.2224, scimark_benchmark: 1820.0077, usercpu_time_millis: 1.943, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 1.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.957, kappa: 0.9129, kb_relative_information_score: 945.1036, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.957, predictive_accuracy: 0.957, prior_entropy: 0.9912, recall: 0.957, relative_absolute_error: 0.3618, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.4602, scimark_benchmark: 1815.0226, usercpu_time_millis: 1.421, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 1.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1265.8957, mean_absolute_error: 0.0453, 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: 0.0918, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.2177, scimark_benchmark: 1809.1449, usercpu_time_millis: 2.505, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 2.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1290.0685, mean_absolute_error: 0.0341, 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: 0.0691, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.211, scimark_benchmark: 1789.0969, usercpu_time_millis: 4.971, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 4.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1265.5911, mean_absolute_error: 0.0454, 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: 0.0919, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.2179, scimark_benchmark: 1718.2966, usercpu_time_millis: 3.089, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 2.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9818, kappa: 0.9631, kb_relative_information_score: 1197.0048, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9818, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.1499, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.2839, scimark_benchmark: 1721.8402, usercpu_time_millis: 4.202, usercpu_time_millis_testing: 0.75, usercpu_time_millis_training: 3.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: 0.0366, mean_absolute_error: 0.4938, 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: 0.9999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1812.9726, usercpu_time_millis: 0.523, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9723, kappa: 0.9439, kb_relative_information_score: 1168.4093, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9723, predictive_accuracy: 0.9723, prior_entropy: 0.9912, recall: 0.9723, relative_absolute_error: 0.1714, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.3196, scimark_benchmark: 1731.0229, usercpu_time_millis: 0.461, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1232.4809, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 0.9912, recall: 0.984, relative_absolute_error: 0.1206, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.2477, scimark_benchmark: 1723.3446, usercpu_time_millis: 4.669, usercpu_time_millis_testing: 0.566, usercpu_time_millis_training: 4.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.973, kappa: 0.9454, kb_relative_information_score: 1131.5979, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.973, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.2042, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.3399, scimark_benchmark: 1735.3422, usercpu_time_millis: 5.715, usercpu_time_millis_testing: 0.773, usercpu_time_millis_training: 4.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9172, kappa: 0.8318, kb_relative_information_score: 964.6815, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9195, predictive_accuracy: 0.9176, prior_entropy: 0.9912, recall: 0.9176, relative_absolute_error: 0.3285, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5098, scimark_benchmark: 1768.6945, usercpu_time_millis: 0.5, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9592, kappa: 0.9174, kb_relative_information_score: 1071.306, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9592, predictive_accuracy: 0.9592, prior_entropy: 0.9912, recall: 0.9592, relative_absolute_error: 0.2505, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.4062, scimark_benchmark: 1791.3234, usercpu_time_millis: 5.389, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 4.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1196.108, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1286, root_relative_squared_error: 0.2588, scimark_benchmark: 1710.2823, usercpu_time_millis: 3.366, usercpu_time_millis_testing: 0.419, usercpu_time_millis_training: 2.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1316.7197, mean_absolute_error: 0.0226, 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: 0.0458, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.1738, scimark_benchmark: 1742.3889, usercpu_time_millis: 9.793, usercpu_time_millis_testing: 0.762, usercpu_time_millis_training: 9.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1237.2256, mean_absolute_error: 0.0594, 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: 0.1203, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1103, root_relative_squared_error: 0.2219, scimark_benchmark: 1725.1959, usercpu_time_millis: 5.351, usercpu_time_millis_testing: 0.708, usercpu_time_millis_training: 4.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9788, kappa: 0.9571, kb_relative_information_score: 1170.9779, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.979, predictive_accuracy: 0.9789, prior_entropy: 0.9912, recall: 0.9789, relative_absolute_error: 0.1713, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.3087, scimark_benchmark: 1772.9775, usercpu_time_millis: 0.664, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 0.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1297.2455, mean_absolute_error: 0.0315, 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: 0.0638, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.1876, scimark_benchmark: 1741.5842, usercpu_time_millis: 0.937, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1270.3581, mean_absolute_error: 0.0443, 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: 0.0896, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0996, root_relative_squared_error: 0.2004, scimark_benchmark: 1694.6673, usercpu_time_millis: 5.14, usercpu_time_millis_testing: 0.497, usercpu_time_millis_training: 4.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9167, kappa: 0.831, kb_relative_information_score: 1009.0264, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9172, predictive_accuracy: 0.9169, prior_entropy: 0.9912, recall: 0.9169, relative_absolute_error: 0.2863, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.5129, scimark_benchmark: 1704.2023, usercpu_time_millis: 6.556, usercpu_time_millis_testing: 0.652, usercpu_time_millis_training: 5.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1230.6926, mean_absolute_error: 0.0621, 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: 0.1258, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1146, root_relative_squared_error: 0.2305, scimark_benchmark: 1773.9912, usercpu_time_millis: 0.88, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9496, kappa: 0.8979, kb_relative_information_score: 1040.8205, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9498, predictive_accuracy: 0.9497, prior_entropy: 0.9912, recall: 0.9497, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4293, scimark_benchmark: 1788.2712, usercpu_time_millis: 0.5, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.856, kappa: 0.7095, kb_relative_information_score: 661.683, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8575, predictive_accuracy: 0.8557, prior_entropy: 0.9912, recall: 0.8557, relative_absolute_error: 0.5698, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.333, root_relative_squared_error: 0.6701, scimark_benchmark: 1778.3982, usercpu_time_millis: 0.839, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 0.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1191.5347, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.1592, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1327, root_relative_squared_error: 0.2671, scimark_benchmark: 1739.2122, usercpu_time_millis: 4.7, usercpu_time_millis_testing: 0.652, usercpu_time_millis_training: 4.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1275.6291, mean_absolute_error: 0.041, 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: 0.0831, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.2088, scimark_benchmark: 1782.4381, usercpu_time_millis: 0.73, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.679,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs