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: 0.9591, f_measure: 0.8662, kappa: 0.7299, kb_relative_information_score: 793.9395, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8674, predictive_accuracy: 0.8659, prior_entropy: 0.9912, recall: 0.8659, relative_absolute_error: 0.4637, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6022, scimark_benchmark: 1862.8804, usercpu_time_millis: 1.671, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 1.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: 0.0051, 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: 1867.1999, usercpu_time_millis: 0.602, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1293.6463, mean_absolute_error: 0.0337, 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: 0.0682, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.1817, scimark_benchmark: 1861.6424, usercpu_time_millis: 7.289, usercpu_time_millis_testing: 0.631, usercpu_time_millis_training: 6.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9174, kappa: 0.8323, kb_relative_information_score: 1003.7204, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9182, predictive_accuracy: 0.9176, prior_entropy: 0.9912, recall: 0.9176, relative_absolute_error: 0.2908, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.5121, scimark_benchmark: 1851.5125, usercpu_time_millis: 6.93, usercpu_time_millis_testing: 0.72, usercpu_time_millis_training: 6.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1295.6743, mean_absolute_error: 0.0329, 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: 0.0665, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.1786, scimark_benchmark: 1843.2687, usercpu_time_millis: 6.317, usercpu_time_millis_testing: 0.602, usercpu_time_millis_training: 5.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1283.5342, mean_absolute_error: 0.0382, 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: 0.0773, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.1922, scimark_benchmark: 1863.9124, usercpu_time_millis: 5.517, usercpu_time_millis_testing: 0.474, usercpu_time_millis_training: 5.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9066, kappa: 0.8108, kb_relative_information_score: 921.2271, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9066, predictive_accuracy: 0.9067, prior_entropy: 0.9912, recall: 0.9067, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.5519, scimark_benchmark: 1869.1029, usercpu_time_millis: 4.872, usercpu_time_millis_testing: 0.494, usercpu_time_millis_training: 4.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9438, kappa: 0.886, kb_relative_information_score: 1082.2197, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9441, predictive_accuracy: 0.9439, prior_entropy: 0.9912, recall: 0.9439, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.4201, scimark_benchmark: 1862.4223, usercpu_time_millis: 3.781, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 3.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9452, kappa: 0.889, kb_relative_information_score: 1013.4594, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9455, predictive_accuracy: 0.9453, prior_entropy: 0.9912, recall: 0.9453, relative_absolute_error: 0.2988, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.4444, scimark_benchmark: 1869.6309, usercpu_time_millis: 3.72, usercpu_time_millis_testing: 0.348, usercpu_time_millis_training: 3.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9097, kappa: 0.8166, kb_relative_information_score: 842.633, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9128, predictive_accuracy: 0.9104, prior_entropy: 0.9912, recall: 0.9104, relative_absolute_error: 0.4349, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2715, root_relative_squared_error: 0.5464, scimark_benchmark: 1864.4376, usercpu_time_millis: 3.481, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 3.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1306.3882, mean_absolute_error: 0.0274, 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: 0.0556, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.1793, scimark_benchmark: 1858.1182, usercpu_time_millis: 3.019, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 2.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9526, kappa: 0.9039, kb_relative_information_score: 925.2657, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9526, predictive_accuracy: 0.9526, prior_entropy: 0.9912, recall: 0.9526, relative_absolute_error: 0.3767, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.4741, scimark_benchmark: 1863.4543, usercpu_time_millis: 2.165, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 1.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9832, kappa: 0.966, kb_relative_information_score: 1191.692, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9833, predictive_accuracy: 0.9832, prior_entropy: 0.9912, recall: 0.9832, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.2922, scimark_benchmark: 1859.6753, usercpu_time_millis: 2.34, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 2.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9614, kappa: 0.9218, kb_relative_information_score: 1077.5948, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9614, predictive_accuracy: 0.9614, prior_entropy: 0.9912, recall: 0.9614, relative_absolute_error: 0.2464, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.3911, scimark_benchmark: 1844.2935, usercpu_time_millis: 1.153, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 1.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1208.3204, mean_absolute_error: 0.0698, 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: 0.1414, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.2728, scimark_benchmark: 1866.9264, usercpu_time_millis: 7.227, usercpu_time_millis_testing: 0.602, usercpu_time_millis_training: 6.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1250.0622, mean_absolute_error: 0.0518, 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: 0.1049, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.2382, scimark_benchmark: 1838.712, usercpu_time_millis: 8.634, usercpu_time_millis_testing: 0.711, usercpu_time_millis_training: 7.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1288.3075, mean_absolute_error: 0.0354, 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: 0.0717, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.1965, scimark_benchmark: 1841.335, usercpu_time_millis: 9.603, usercpu_time_millis_testing: 0.92, usercpu_time_millis_training: 8.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1223.8974, mean_absolute_error: 0.0631, 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: 0.1278, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.2594, scimark_benchmark: 1867.725, usercpu_time_millis: 4.614, usercpu_time_millis_testing: 0.453, usercpu_time_millis_training: 4.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1302.9497, mean_absolute_error: 0.0294, 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: 0.0596, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.1745, scimark_benchmark: 1870.6721, usercpu_time_millis: 6.434, usercpu_time_millis_testing: 0.545, usercpu_time_millis_training: 5.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9526, kappa: 0.9039, kb_relative_information_score: 1031.1801, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9526, predictive_accuracy: 0.9526, prior_entropy: 0.9912, recall: 0.9526, relative_absolute_error: 0.2849, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.43, scimark_benchmark: 1839.0811, usercpu_time_millis: 5.559, usercpu_time_millis_testing: 0.609, usercpu_time_millis_training: 4.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.973, kappa: 0.9453, kb_relative_information_score: 1153.2351, mean_absolute_error: 0.0903, 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: 0.1828, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.168, root_relative_squared_error: 0.338, scimark_benchmark: 1888.3072, usercpu_time_millis: 0.485, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: -0.2067, 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: 1868.269, usercpu_time_millis: 0.568, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9832, kappa: 0.966, kb_relative_information_score: 1139.5237, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9833, predictive_accuracy: 0.9832, prior_entropy: 0.9912, recall: 0.9832, relative_absolute_error: 0.2026, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.3143, scimark_benchmark: 1865.3572, usercpu_time_millis: 3.593, usercpu_time_millis_testing: 0.418, usercpu_time_millis_training: 3.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.8754, kappa: 0.7478, kb_relative_information_score: 614.2511, mean_absolute_error: 0.3004, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8755, predictive_accuracy: 0.8754, prior_entropy: 0.9912, recall: 0.8754, relative_absolute_error: 0.6083, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6789, scimark_benchmark: 1868.6447, usercpu_time_millis: 0.731, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9832, kappa: 0.966, kb_relative_information_score: 1182.7347, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9832, predictive_accuracy: 0.9832, prior_entropy: 0.9912, recall: 0.9832, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.2942, scimark_benchmark: 1844.7028, usercpu_time_millis: 1.506, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 1.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9167, kappa: 0.8309, kb_relative_information_score: 1012.9125, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9173, predictive_accuracy: 0.9169, prior_entropy: 0.9912, recall: 0.9169, relative_absolute_error: 0.2836, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2521, root_relative_squared_error: 0.5074, scimark_benchmark: 1808.7441, usercpu_time_millis: 3.645, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 3.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8575, kappa: 0.7125, kb_relative_information_score: 659.9386, mean_absolute_error: 0.282, 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: 0.571, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.6758, scimark_benchmark: 1779.0387, usercpu_time_millis: 0.936, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: 0.0311, 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: 1841.0485, usercpu_time_millis: 1.106, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 0.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9134, kappa: 0.8242, kb_relative_information_score: 856.8264, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9161, predictive_accuracy: 0.914, prior_entropy: 0.9912, recall: 0.914, relative_absolute_error: 0.4235, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2677, root_relative_squared_error: 0.5387, scimark_benchmark: 1861.6424, usercpu_time_millis: 1.637, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 1.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1262.5991, mean_absolute_error: 0.0472, 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: 0.0955, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1063, root_relative_squared_error: 0.214, scimark_benchmark: 1875.9042, usercpu_time_millis: 2.605, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 2.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3966, kb_relative_information_score: 0.032, 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: 1833.6145, usercpu_time_millis: 1.794, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 1.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3966, kb_relative_information_score: -0.1801, 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: 1865.8853, usercpu_time_millis: 0.417, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1271.7911, mean_absolute_error: 0.0436, 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: 0.0884, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.1986, scimark_benchmark: 1856.8138, usercpu_time_millis: 10.163, usercpu_time_millis_testing: 0.994, usercpu_time_millis_training: 9.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1281.7898, mean_absolute_error: 0.0396, 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: 0.0802, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.1824, scimark_benchmark: 1862.932, usercpu_time_millis: 5.023, usercpu_time_millis_testing: 0.549, usercpu_time_millis_training: 4.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1296.6817, mean_absolute_error: 0.0324, 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: 0.0656, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.1773, scimark_benchmark: 1862.932, usercpu_time_millis: 5.73, usercpu_time_millis_testing: 0.548, usercpu_time_millis_training: 5.182,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9621, kappa: 0.9233, kb_relative_information_score: 1056.8708, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9621, predictive_accuracy: 0.9621, prior_entropy: 0.9912, recall: 0.9621, relative_absolute_error: 0.2641, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.4095, scimark_benchmark: 1864.8321, usercpu_time_millis: 2.402, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 2.163,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.981, kappa: 0.9616, kb_relative_information_score: 1178.5019, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.1657, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.299, scimark_benchmark: 1814.0942, usercpu_time_millis: 4.339, usercpu_time_millis_testing: 0.511, usercpu_time_millis_training: 3.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9357, kappa: 0.8694, kb_relative_information_score: 878.302, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9365, predictive_accuracy: 0.9359, prior_entropy: 0.9912, recall: 0.9359, relative_absolute_error: 0.4129, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.5085, scimark_benchmark: 1760.5879, usercpu_time_millis: 3.463, usercpu_time_millis_testing: 0.449, usercpu_time_millis_training: 3.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9672, kappa: 0.9337, kb_relative_information_score: 1107.6942, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9673, predictive_accuracy: 0.9672, prior_entropy: 0.9912, recall: 0.9672, relative_absolute_error: 0.2226, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3683, scimark_benchmark: 1790.1139, usercpu_time_millis: 0.996, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9526, kappa: 0.9039, kb_relative_information_score: 927.9016, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9526, predictive_accuracy: 0.9526, prior_entropy: 0.9912, recall: 0.9526, relative_absolute_error: 0.3749, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.472, scimark_benchmark: 1858.1182, usercpu_time_millis: 4.331, usercpu_time_millis_testing: 0.552, usercpu_time_millis_training: 3.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 1169.9149, mean_absolute_error: 0.0879, 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: 0.1779, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.2863, scimark_benchmark: 1756.3523, usercpu_time_millis: 0.625, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 0.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1275.1246, mean_absolute_error: 0.0418, 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: 0.0846, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.2003, scimark_benchmark: 789.421, usercpu_time_millis: 12.026, usercpu_time_millis_testing: 0.963, usercpu_time_millis_training: 11.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1287.3242, mean_absolute_error: 0.0352, 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: 0.0713, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.2157, scimark_benchmark: 790.3407, usercpu_time_millis: 10.008, usercpu_time_millis_testing: 0.506, usercpu_time_millis_training: 9.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1279.4208, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0824, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.1845, scimark_benchmark: 1850.221, usercpu_time_millis: 9.505, usercpu_time_millis_testing: 1.016, usercpu_time_millis_training: 8.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1219.5223, mean_absolute_error: 0.0652, 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: 0.1321, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.13, root_relative_squared_error: 0.2616, scimark_benchmark: 789.6492, usercpu_time_millis: 6.103, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 5.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1310.7961, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9899, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0498, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.2048, scimark_benchmark: 1801.8598, usercpu_time_millis: 11, usercpu_time_millis_testing: 0.706, usercpu_time_millis_training: 10.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1304.2203, mean_absolute_error: 0.0278, 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: 0.0563, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1012, root_relative_squared_error: 0.2037, scimark_benchmark: 1800.4179, usercpu_time_millis: 9.892, usercpu_time_millis_testing: 0.673, usercpu_time_millis_training: 9.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3966, kb_relative_information_score: -0.0027, 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: 789.5549, usercpu_time_millis: 1.179, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 0.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1322.0432, mean_absolute_error: 0.0199, 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: 0.0403, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0872, root_relative_squared_error: 0.1754, scimark_benchmark: 1847.084, usercpu_time_millis: 6.148, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 5.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9141, kappa: 0.8255, kb_relative_information_score: 878.7917, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9175, predictive_accuracy: 0.9147, prior_entropy: 0.9912, recall: 0.9147, relative_absolute_error: 0.4054, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.263, root_relative_squared_error: 0.5292, scimark_benchmark: 1842.7288, usercpu_time_millis: 4.25, usercpu_time_millis_testing: 0.529, usercpu_time_millis_training: 3.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9731, kappa: 0.9455, kb_relative_information_score: 1100.3912, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9733, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.3465, scimark_benchmark: 1850.7491, usercpu_time_millis: 2.409, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 2.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1250.4013, mean_absolute_error: 0.0537, 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: 0.1087, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.2102, scimark_benchmark: 1837.6985, usercpu_time_millis: 1.867, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 1.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.8597, kappa: 0.7169, kb_relative_information_score: 770.3894, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8612, predictive_accuracy: 0.8593, prior_entropy: 0.9912, recall: 0.8593, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.6202, scimark_benchmark: 1846.6258, usercpu_time_millis: 3.075, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 2.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1288.2547, mean_absolute_error: 0.0347, 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: 0.0703, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.2158, scimark_benchmark: 1769.8392, usercpu_time_millis: 6.175, usercpu_time_millis_testing: 0.476, usercpu_time_millis_training: 5.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1266.9996, mean_absolute_error: 0.0444, 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: 0.0899, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.11, root_relative_squared_error: 0.2214, scimark_benchmark: 1855.873, usercpu_time_millis: 1.441, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 1.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9912, kappa: 0.9823, kb_relative_information_score: 1289.2833, mean_absolute_error: 0.0356, 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: 0.0721, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0923, root_relative_squared_error: 0.1858, scimark_benchmark: 1795.6384, usercpu_time_millis: 2.206, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 2.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.8725, kappa: 0.7418, kb_relative_information_score: 613.7574, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8725, predictive_accuracy: 0.8724, prior_entropy: 0.9912, recall: 0.8724, relative_absolute_error: 0.6086, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.6798, scimark_benchmark: 1802.8431, usercpu_time_millis: 1.536, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 1.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1296.2497, mean_absolute_error: 0.0312, 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: 0.0632, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1045, root_relative_squared_error: 0.2103, scimark_benchmark: 1845.7061, usercpu_time_millis: 1.74, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 1.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9781, kappa: 0.9557, kb_relative_information_score: 1149.6746, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9781, predictive_accuracy: 0.9781, prior_entropy: 0.9912, recall: 0.9781, relative_absolute_error: 0.1901, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.3223, scimark_benchmark: 1747.8945, usercpu_time_millis: 2.808, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 2.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.918, kappa: 0.8337, kb_relative_information_score: 1019.3555, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9192, predictive_accuracy: 0.9184, prior_entropy: 0.9912, recall: 0.9184, relative_absolute_error: 0.2792, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.4962, scimark_benchmark: 1848.6532, usercpu_time_millis: 0.362, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: 0.0046, 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: 1760.1271, usercpu_time_millis: 0.606, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.8546, kappa: 0.7069, kb_relative_information_score: 757.0916, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8567, predictive_accuracy: 0.8542, prior_entropy: 0.9912, recall: 0.8542, relative_absolute_error: 0.4924, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6374, scimark_benchmark: 1828.6161, usercpu_time_millis: 0.669, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9232, kappa: 0.844, kb_relative_information_score: 1033.097, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9244, predictive_accuracy: 0.9235, prior_entropy: 0.9912, recall: 0.9235, relative_absolute_error: 0.2698, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.4785, scimark_benchmark: 1830.2717, usercpu_time_millis: 4.785, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 4.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1292.2956, mean_absolute_error: 0.0344, 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: 0.0697, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.1814, scimark_benchmark: 1791.1577, usercpu_time_millis: 8.61, usercpu_time_millis_testing: 0.785, usercpu_time_millis_training: 7.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.9079, kappa: 0.8131, kb_relative_information_score: 1012.101, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9086, predictive_accuracy: 0.9082, prior_entropy: 0.9912, recall: 0.9082, relative_absolute_error: 0.2805, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2675, root_relative_squared_error: 0.5383, scimark_benchmark: 1842.1359, usercpu_time_millis: 8.625, usercpu_time_millis_testing: 0.492, usercpu_time_millis_training: 8.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1273.3189, mean_absolute_error: 0.0424, 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: 0.0859, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1016, root_relative_squared_error: 0.2044, scimark_benchmark: 1852.8044, usercpu_time_millis: 8.356, usercpu_time_millis_testing: 0.974, usercpu_time_millis_training: 7.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1217.1682, mean_absolute_error: 0.0668, 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: 0.1353, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.255, scimark_benchmark: 1860.1369, usercpu_time_millis: 5.727, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 5.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1260.802, mean_absolute_error: 0.0492, 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: 0.0996, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0988, root_relative_squared_error: 0.1989, scimark_benchmark: 1863.7904, usercpu_time_millis: 5.18, usercpu_time_millis_testing: 0.543, usercpu_time_millis_training: 4.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1297.6482, mean_absolute_error: 0.0319, 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: 0.0647, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.1773, scimark_benchmark: 1743.823, usercpu_time_millis: 8.248, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 7.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1281.4191, mean_absolute_error: 0.0393, 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: 0.0795, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.191, scimark_benchmark: 1841.2565, usercpu_time_millis: 7.854, usercpu_time_millis_testing: 0.715, usercpu_time_millis_training: 7.139,

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