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: 0.9905, kappa: 0.9808, kb_relative_information_score: 1229.6792, mean_absolute_error: 0.0631, 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: 0.1277, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.2247, scimark_benchmark: 1750.6753, usercpu_time_millis: 4.113, usercpu_time_millis_testing: 0.423, usercpu_time_millis_training: 3.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1150.7971, mean_absolute_error: 0.0959, 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: 0.1942, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.3024, scimark_benchmark: 1768.867, usercpu_time_millis: 4.687, usercpu_time_millis_testing: 0.454, usercpu_time_millis_training: 4.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0245, 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: 1742.5899, usercpu_time_millis: 1.412, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 1.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 741.3778, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5022, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.7033, scimark_benchmark: 1741.6387, usercpu_time_millis: 2.17, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 1.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1146.6828, mean_absolute_error: 0.0983, 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: 0.1991, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.2991, scimark_benchmark: 1746.1701, usercpu_time_millis: 8.265, usercpu_time_millis_testing: 0.866, usercpu_time_millis_training: 7.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1191.4741, mean_absolute_error: 0.0764, 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: 0.1548, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.145, root_relative_squared_error: 0.2917, scimark_benchmark: 1785.4972, usercpu_time_millis: 3.469, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 3.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8885, kappa: 0.7736, kb_relative_information_score: 494.6734, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8961, predictive_accuracy: 0.8899, prior_entropy: 0.9912, recall: 0.8899, relative_absolute_error: 0.6979, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7365, scimark_benchmark: 1944.454, usercpu_time_millis: 0.816, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 0.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9121, kappa: 0.8216, kb_relative_information_score: 911.0858, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9138, predictive_accuracy: 0.9125, prior_entropy: 0.9912, recall: 0.9125, relative_absolute_error: 0.3732, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.5336, scimark_benchmark: 2021.3306, usercpu_time_millis: 1.827, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 1.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9912, kappa: 0.9823, kb_relative_information_score: 1291.3988, mean_absolute_error: 0.0336, 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: 0.0681, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.2104, scimark_benchmark: 1859.4255, usercpu_time_millis: 11.253, usercpu_time_millis_testing: 0.727, usercpu_time_millis_training: 10.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1267.3677, mean_absolute_error: 0.0437, 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: 0.0884, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.2338, scimark_benchmark: 1738.2912, usercpu_time_millis: 4.059, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 3.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1287.4357, mean_absolute_error: 0.0362, 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: 0.0732, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.1925, scimark_benchmark: 1788.441, usercpu_time_millis: 8.201, usercpu_time_millis_testing: 0.577, usercpu_time_millis_training: 7.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1307.1076, mean_absolute_error: 0.0264, 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: 0.0535, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1011, root_relative_squared_error: 0.2034, scimark_benchmark: 1747.0307, usercpu_time_millis: 2.084, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 1.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9693, kappa: 0.9378, kb_relative_information_score: 1187.0382, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9697, predictive_accuracy: 0.9694, prior_entropy: 0.9912, recall: 0.9694, relative_absolute_error: 0.1518, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.3264, scimark_benchmark: 1945.0504, usercpu_time_millis: 0.553, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9832, kappa: 0.966, kb_relative_information_score: 1237.4217, mean_absolute_error: 0.0559, 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: 0.1132, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1321, root_relative_squared_error: 0.2658, scimark_benchmark: 1737.2733, usercpu_time_millis: 3.16, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 2.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: 0.0098, 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: 2020.2215, usercpu_time_millis: 0.813, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 0.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1271.798, mean_absolute_error: 0.0417, 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: 0.0845, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.2304, scimark_benchmark: 1758.7924, usercpu_time_millis: 6.027, usercpu_time_millis_testing: 0.454, usercpu_time_millis_training: 5.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: -0.0005, 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: 1745.7661, usercpu_time_millis: 0.665, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.8977, kappa: 0.7922, kb_relative_information_score: 648.3092, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9026, predictive_accuracy: 0.8987, prior_entropy: 0.9912, recall: 0.8987, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.6466, scimark_benchmark: 1870.557, usercpu_time_millis: 2.968, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 2.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9179, kappa: 0.8332, kb_relative_information_score: 820.4943, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9205, predictive_accuracy: 0.9184, prior_entropy: 0.9912, recall: 0.9184, relative_absolute_error: 0.4566, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5485, scimark_benchmark: 790.5689, usercpu_time_millis: 3.749, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 3.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1214.7665, mean_absolute_error: 0.0694, 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: 0.1406, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.2397, scimark_benchmark: 791.1719, usercpu_time_millis: 2.501, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 2.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9231, kappa: 0.8438, kb_relative_information_score: 842.956, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9251, predictive_accuracy: 0.9235, prior_entropy: 0.9912, recall: 0.9235, relative_absolute_error: 0.4394, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.533, scimark_benchmark: 788.9929, usercpu_time_millis: 3.539, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 3.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1258.5134, mean_absolute_error: 0.048, 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: 0.0972, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.2315, scimark_benchmark: 1744.0581, usercpu_time_millis: 1.375, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 1.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.981, kappa: 0.9616, kb_relative_information_score: 1225.8922, mean_absolute_error: 0.0612, 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: 0.1238, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.2682, scimark_benchmark: 1758.9474, usercpu_time_millis: 6.088, usercpu_time_millis_testing: 0.602, usercpu_time_millis_training: 5.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1240.3667, mean_absolute_error: 0.0571, 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: 0.1155, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.2333, scimark_benchmark: 1863.4543, usercpu_time_millis: 2.539, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 2.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8589, kappa: 0.715, kb_relative_information_score: 660.7954, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8598, predictive_accuracy: 0.8586, prior_entropy: 0.9912, recall: 0.8586, relative_absolute_error: 0.5705, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.333, root_relative_squared_error: 0.6701, scimark_benchmark: 1752.0468, usercpu_time_millis: 2.347, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 2.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.973, kappa: 0.9454, kb_relative_information_score: 1227.6482, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9731, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.3034, scimark_benchmark: 1750.8922, usercpu_time_millis: 5.94, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 5.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9152, kappa: 0.828, kb_relative_information_score: 1012.3885, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9158, predictive_accuracy: 0.9155, prior_entropy: 0.9912, recall: 0.9155, relative_absolute_error: 0.2827, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.5201, scimark_benchmark: 1740.5283, usercpu_time_millis: 0.952, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1264.4386, mean_absolute_error: 0.046, 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: 0.0932, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.218, scimark_benchmark: 1782.6315, usercpu_time_millis: 6.201, usercpu_time_millis_testing: 0.535, usercpu_time_millis_training: 5.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1270.0316, mean_absolute_error: 0.0432, 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: 0.0874, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.2177, scimark_benchmark: 1774.4119, usercpu_time_millis: 1.062, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 0.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1305.7302, mean_absolute_error: 0.0271, 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: 0.0549, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.2027, scimark_benchmark: 1753.4336, usercpu_time_millis: 12.507, usercpu_time_millis_testing: 0.774, usercpu_time_millis_training: 11.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9195, kappa: 0.8366, kb_relative_information_score: 1014.4312, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9208, predictive_accuracy: 0.9198, prior_entropy: 0.9912, recall: 0.9198, relative_absolute_error: 0.2835, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2477, root_relative_squared_error: 0.4985, scimark_benchmark: 1867.1999, usercpu_time_millis: 0.564, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9854, kappa: 0.9704, kb_relative_information_score: 1264.0615, mean_absolute_error: 0.0448, 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: 0.0907, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.2405, scimark_benchmark: 2048.6001, usercpu_time_millis: 2.299, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 2.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: 0.1044, 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: 787.7512, usercpu_time_millis: 1.653, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 1.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1279.688, mean_absolute_error: 0.0398, 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: 0.0806, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0972, root_relative_squared_error: 0.1956, scimark_benchmark: 1746.5708, usercpu_time_millis: 8.068, usercpu_time_millis_testing: 0.902, usercpu_time_millis_training: 7.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.8619, kappa: 0.7219, kb_relative_information_score: 827.9855, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8646, predictive_accuracy: 0.8615, prior_entropy: 0.9912, recall: 0.8615, relative_absolute_error: 0.4302, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.6105, scimark_benchmark: 1791.3829, usercpu_time_millis: 2.015, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 1.813,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9225, kappa: 0.8428, kb_relative_information_score: 1035.9628, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9231, predictive_accuracy: 0.9227, prior_entropy: 0.9912, recall: 0.9227, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.4813, scimark_benchmark: 1711.1204, usercpu_time_millis: 7.675, usercpu_time_millis_testing: 0.75, usercpu_time_millis_training: 6.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9687, kappa: 0.9367, kb_relative_information_score: 1030.4579, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.969, predictive_accuracy: 0.9687, prior_entropy: 0.9912, recall: 0.9687, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.198, root_relative_squared_error: 0.3985, scimark_benchmark: 1940.872, usercpu_time_millis: 2.57, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 2.29,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.851, kappa: 0.6996, kb_relative_information_score: 731.9288, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.853, predictive_accuracy: 0.8506, prior_entropy: 0.9912, recall: 0.8506, relative_absolute_error: 0.5081, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.345, root_relative_squared_error: 0.6943, scimark_benchmark: 1741.5952, usercpu_time_millis: 0.52, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9715, kappa: 0.9422, kb_relative_information_score: 1197.799, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9719, predictive_accuracy: 0.9716, prior_entropy: 0.9912, recall: 0.9716, relative_absolute_error: 0.1437, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.3138, scimark_benchmark: 1744.3509, usercpu_time_millis: 2.104, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 1.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9209, kappa: 0.8393, kb_relative_information_score: 988.7512, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9228, predictive_accuracy: 0.9213, prior_entropy: 0.9912, recall: 0.9213, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.247, root_relative_squared_error: 0.4971, scimark_benchmark: 1760.8685, usercpu_time_millis: 0.82, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1242.8983, mean_absolute_error: 0.057, 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: 0.1154, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.2163, scimark_benchmark: 1746.2794, usercpu_time_millis: 6.53, usercpu_time_millis_testing: 0.886, usercpu_time_millis_training: 5.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.957, kappa: 0.9129, kb_relative_information_score: 938.7378, mean_absolute_error: 0.1812, 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: 0.3669, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.464, scimark_benchmark: 1727.1229, usercpu_time_millis: 5.625, usercpu_time_millis_testing: 1.018, usercpu_time_millis_training: 4.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9548, kappa: 0.9084, kb_relative_information_score: 1099.0718, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9548, predictive_accuracy: 0.9548, prior_entropy: 0.9912, recall: 0.9548, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.3943, scimark_benchmark: 1959.1139, usercpu_time_millis: 6.353, usercpu_time_millis_testing: 0.447, usercpu_time_millis_training: 5.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9605, kappa: 0.92, kb_relative_information_score: 1166.1944, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9611, predictive_accuracy: 0.9606, prior_entropy: 0.9912, recall: 0.9606, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.3475, scimark_benchmark: 1744.2156, usercpu_time_millis: 5.007, usercpu_time_millis_testing: 0.602, usercpu_time_millis_training: 4.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3966, kb_relative_information_score: -0.0259, 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: 1758.6078, usercpu_time_millis: 2.527, usercpu_time_millis_testing: 0.386, usercpu_time_millis_training: 2.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1253.947, mean_absolute_error: 0.0521, 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: 0.1055, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1024, root_relative_squared_error: 0.2061, scimark_benchmark: 1753.175, usercpu_time_millis: 8.805, usercpu_time_millis_testing: 0.99, usercpu_time_millis_training: 7.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1321.0834, mean_absolute_error: 0.0205, 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: 0.0415, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.1729, scimark_benchmark: 1781.5328, usercpu_time_millis: 12.601, usercpu_time_millis_testing: 0.946, usercpu_time_millis_training: 11.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1258.6884, mean_absolute_error: 0.0488, 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: 0.0987, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2185, scimark_benchmark: 1867.4545, usercpu_time_millis: 3.912, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 3.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.0655, 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: 1750.0604, usercpu_time_millis: 0.966, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 0.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1307.2106, mean_absolute_error: 0.0275, 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: 0.0556, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.085, root_relative_squared_error: 0.171, scimark_benchmark: 1793.7569, usercpu_time_millis: 10.935, usercpu_time_millis_testing: 0.939, usercpu_time_millis_training: 9.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9796, kappa: 0.9586, kb_relative_information_score: 1226.7062, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9797, predictive_accuracy: 0.9796, prior_entropy: 0.9912, recall: 0.9796, relative_absolute_error: 0.1223, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.135, root_relative_squared_error: 0.2716, scimark_benchmark: 1762.8131, usercpu_time_millis: 0.416, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1222.6991, mean_absolute_error: 0.0647, 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: 0.1309, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.2477, scimark_benchmark: 1754.7547, usercpu_time_millis: 0.251, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9547, kappa: 0.908, kb_relative_information_score: 1200.1272, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9557, predictive_accuracy: 0.9548, prior_entropy: 0.9912, recall: 0.9548, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.37, scimark_benchmark: 1760.2818, usercpu_time_millis: 0.045, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 760.491, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6433, scimark_benchmark: 1742.8441, usercpu_time_millis: 1.271, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 1.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9275, kappa: 0.8529, kb_relative_information_score: 885.4414, mean_absolute_error: 0.2005, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9291, predictive_accuracy: 0.9278, prior_entropy: 0.9912, recall: 0.9278, relative_absolute_error: 0.406, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2522, root_relative_squared_error: 0.5076, scimark_benchmark: 1752.9026, usercpu_time_millis: 2.243, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 2.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1286.6331, mean_absolute_error: 0.0354, 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: 0.0717, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1078, root_relative_squared_error: 0.217, scimark_benchmark: 1780.4087, usercpu_time_millis: 10.764, usercpu_time_millis_testing: 0.83, usercpu_time_millis_training: 9.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.1402, 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: 1740.2061, usercpu_time_millis: 0.235, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9152, kappa: 0.828, kb_relative_information_score: 1005.7436, mean_absolute_error: 0.1425, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9158, predictive_accuracy: 0.9155, prior_entropy: 0.9912, recall: 0.9155, relative_absolute_error: 0.2884, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2575, root_relative_squared_error: 0.5182, scimark_benchmark: 1752.5291, usercpu_time_millis: 4.424, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 4.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9201, kappa: 0.8377, kb_relative_information_score: 845.2661, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9225, predictive_accuracy: 0.9206, prior_entropy: 0.9912, recall: 0.9206, relative_absolute_error: 0.4378, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.5302, scimark_benchmark: 1760.9181, usercpu_time_millis: 3.216, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 2.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1263.6329, mean_absolute_error: 0.0464, 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: 0.0939, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.2198, scimark_benchmark: 1741.6387, usercpu_time_millis: 1.566, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 1.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9854, kappa: 0.9704, kb_relative_information_score: 1237.4417, mean_absolute_error: 0.0567, 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: 0.1148, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.2539, scimark_benchmark: 1755.6841, usercpu_time_millis: 1.31, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 1.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9164, kappa: 0.8301, kb_relative_information_score: 776.989, mean_absolute_error: 0.2423, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9192, predictive_accuracy: 0.9169, prior_entropy: 0.9912, recall: 0.9169, relative_absolute_error: 0.4906, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.5741, scimark_benchmark: 1865.3572, usercpu_time_millis: 3.52, usercpu_time_millis_testing: 0.475, usercpu_time_millis_training: 3.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9218, kappa: 0.8413, kb_relative_information_score: 1026.4163, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9225, predictive_accuracy: 0.922, prior_entropy: 0.9912, recall: 0.922, relative_absolute_error: 0.2738, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.4916, scimark_benchmark: 1742.4969, usercpu_time_millis: 2.648, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 2.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9854, kappa: 0.9704, kb_relative_information_score: 1238.3357, mean_absolute_error: 0.0572, 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: 0.1159, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.2409, scimark_benchmark: 1746.6801, usercpu_time_millis: 4.071, usercpu_time_millis_testing: 0.469, usercpu_time_millis_training: 3.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1307.8859, mean_absolute_error: 0.0267, 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: 0.054, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.1796, scimark_benchmark: 1867.0876, usercpu_time_millis: 1.96, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 1.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9482, kappa: 0.895, kb_relative_information_score: 903.467, mean_absolute_error: 0.1946, 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: 0.394, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.4898, scimark_benchmark: 1749.8342, usercpu_time_millis: 5.095, usercpu_time_millis_testing: 0.698, usercpu_time_millis_training: 4.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9796, kappa: 0.9587, kb_relative_information_score: 1292.6815, mean_absolute_error: 0.0307, 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: 0.0623, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.2559, scimark_benchmark: 1741.889, usercpu_time_millis: 12.47, usercpu_time_millis_testing: 0.657, usercpu_time_millis_training: 11.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9386, kappa: 0.8755, kb_relative_information_score: 901.4969, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9392, predictive_accuracy: 0.9388, prior_entropy: 0.9912, recall: 0.9388, relative_absolute_error: 0.3944, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.4947, scimark_benchmark: 1908.7491, usercpu_time_millis: 2.142, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 1.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1316.209, mean_absolute_error: 0.0211, 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: 0.0427, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1112, root_relative_squared_error: 0.2238, scimark_benchmark: 1748.8064, usercpu_time_millis: 2.294, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 2.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9818, kappa: 0.963, kb_relative_information_score: 1222.5946, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9819, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.1265, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.2711, scimark_benchmark: 1752.0621, usercpu_time_millis: 1.84, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 1.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: 0.009, 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: 1747.4848, usercpu_time_millis: 0.97, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 0.796,

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