Task
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: 0.9681, f_measure: 0.9152, kappa: 0.828, kb_relative_information_score: 997.9123, mean_absolute_error: 0.146, 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: 0.2957, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.5219, scimark_benchmark: 1734.1278, usercpu_time_millis: 0.879, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9664, kappa: 0.9319, kb_relative_information_score: 1172.5265, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9666, predictive_accuracy: 0.9665, prior_entropy: 0.9912, recall: 0.9665, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.3359, scimark_benchmark: 1755.8279, usercpu_time_millis: 2.369, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 2.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1308.6036, mean_absolute_error: 0.0268, 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: 0.0542, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.1705, scimark_benchmark: 1742.0394, usercpu_time_millis: 10.504, usercpu_time_millis_testing: 1.039, usercpu_time_millis_training: 9.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1315.5858, mean_absolute_error: 0.0231, 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: 0.0467, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.1753, scimark_benchmark: 1735.7276, usercpu_time_millis: 9.516, usercpu_time_millis_testing: 0.817, usercpu_time_millis_training: 8.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1234.69, mean_absolute_error: 0.0607, 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: 0.1229, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.2231, scimark_benchmark: 2004.0494, usercpu_time_millis: 8.67, usercpu_time_millis_testing: 0.959, usercpu_time_millis_training: 7.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3966, kb_relative_information_score: -0.0225, 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: 1707.9215, usercpu_time_millis: 2.879, usercpu_time_millis_testing: 0.447, usercpu_time_millis_training: 2.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9268, kappa: 0.8513, kb_relative_information_score: 1054.314, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9284, predictive_accuracy: 0.9271, prior_entropy: 0.9912, recall: 0.9271, relative_absolute_error: 0.256, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.4475, scimark_benchmark: 1794.2977, usercpu_time_millis: 9.235, usercpu_time_millis_testing: 0.715, usercpu_time_millis_training: 8.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1156.6719, mean_absolute_error: 0.094, 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: 0.1904, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.2919, scimark_benchmark: 1811.6719, usercpu_time_millis: 0.926, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1315.295, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9848, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.044, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.2172, scimark_benchmark: 1739.1448, usercpu_time_millis: 15.244, usercpu_time_millis_testing: 1.043, usercpu_time_millis_training: 14.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1286.1664, mean_absolute_error: 0.0367, 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: 0.0744, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.1937, scimark_benchmark: 1776.3026, usercpu_time_millis: 3.59, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 3.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9074, kappa: 0.8119, kb_relative_information_score: 701.0129, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9115, predictive_accuracy: 0.9082, prior_entropy: 0.9912, recall: 0.9082, relative_absolute_error: 0.5492, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.6156, scimark_benchmark: 1729.9202, usercpu_time_millis: 2.674, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 2.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.851, kappa: 0.6996, kb_relative_information_score: 731.866, mean_absolute_error: 0.2512, 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: 0.5086, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.346, root_relative_squared_error: 0.6964, scimark_benchmark: 1987.171, usercpu_time_millis: 2.909, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 2.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1116.0211, mean_absolute_error: 0.1106, 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: 0.224, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.327, scimark_benchmark: 1731.2073, usercpu_time_millis: 5.749, usercpu_time_millis_testing: 0.704, usercpu_time_millis_training: 5.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9483, kappa: 0.8952, kb_relative_information_score: 1183.257, mean_absolute_error: 0.0721, 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: 0.146, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.3839, scimark_benchmark: 1785.5554, usercpu_time_millis: 11.746, usercpu_time_millis_testing: 0.62, usercpu_time_millis_training: 11.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1282.0246, mean_absolute_error: 0.0386, 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: 0.0782, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.1974, scimark_benchmark: 1755.4478, usercpu_time_millis: 2.651, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 2.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9164, kappa: 0.8303, kb_relative_information_score: 955.086, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9188, predictive_accuracy: 0.9169, prior_entropy: 0.9912, recall: 0.9169, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2565, root_relative_squared_error: 0.5162, scimark_benchmark: 1801.2322, usercpu_time_millis: 4.402, usercpu_time_millis_testing: 0.507, usercpu_time_millis_training: 3.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1259.751, mean_absolute_error: 0.0481, 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: 0.0975, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.11, root_relative_squared_error: 0.2213, scimark_benchmark: 1733.8168, usercpu_time_millis: 0.864, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9854, kappa: 0.9704, kb_relative_information_score: 1258.0473, mean_absolute_error: 0.0482, 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: 0.0975, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.2308, scimark_benchmark: 1795.7522, usercpu_time_millis: 3.735, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 3.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1214.0328, mean_absolute_error: 0.0682, 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: 0.1381, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.2581, scimark_benchmark: 1731.2073, usercpu_time_millis: 1.24, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 1.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1211.0892, mean_absolute_error: 0.0709, 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: 0.1435, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1214, root_relative_squared_error: 0.2443, scimark_benchmark: 1755.6822, usercpu_time_millis: 2.178, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 1.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1298.1579, 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: 0.0639, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.089, root_relative_squared_error: 0.1791, scimark_benchmark: 1737.3923, usercpu_time_millis: 3.925, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 3.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9774, kappa: 0.9543, kb_relative_information_score: 1096.5445, mean_absolute_error: 0.1183, 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: 0.2396, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.345, scimark_benchmark: 1727.2216, usercpu_time_millis: 6.904, usercpu_time_millis_testing: 0.863, usercpu_time_millis_training: 6.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3966, kb_relative_information_score: -0.0721, 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: 1757.1529, usercpu_time_millis: 2.211, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 1.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9357, kappa: 0.8694, kb_relative_information_score: 1047.7184, mean_absolute_error: 0.1305, 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: 0.2642, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.4453, scimark_benchmark: 1792.1769, usercpu_time_millis: 6.605, usercpu_time_millis_testing: 0.535, usercpu_time_millis_training: 6.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1208.076, mean_absolute_error: 0.0722, 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: 0.1462, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.123, root_relative_squared_error: 0.2476, scimark_benchmark: 1733.0746, usercpu_time_millis: 8.519, usercpu_time_millis_testing: 1.082, usercpu_time_millis_training: 7.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.965, kappa: 0.9293, kb_relative_information_score: 1085.0834, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9651, predictive_accuracy: 0.965, prior_entropy: 0.9912, recall: 0.965, relative_absolute_error: 0.2412, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.3868, scimark_benchmark: 1906.2903, usercpu_time_millis: 1.401, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 1.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1296.9488, mean_absolute_error: 0.0311, 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: 0.063, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.2056, scimark_benchmark: 1726.7756, usercpu_time_millis: 2.459, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 2.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9179, kappa: 0.8332, kb_relative_information_score: 811.7407, mean_absolute_error: 0.2288, 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: 0.4633, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.555, scimark_benchmark: 1743.091, usercpu_time_millis: 2.501, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 2.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1258.4962, mean_absolute_error: 0.0485, 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: 0.0982, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.2252, scimark_benchmark: 1795.5229, usercpu_time_millis: 7.689, usercpu_time_millis_testing: 0.764, usercpu_time_millis_training: 6.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1296.2223, mean_absolute_error: 0.032, 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: 0.0649, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.1876, scimark_benchmark: 1756.3416, usercpu_time_millis: 4.221, usercpu_time_millis_testing: 0.512, usercpu_time_millis_training: 3.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1290.8647, mean_absolute_error: 0.0337, 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: 0.0682, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1055, root_relative_squared_error: 0.2124, scimark_benchmark: 1788.1505, usercpu_time_millis: 11.615, usercpu_time_millis_testing: 1.028, usercpu_time_millis_training: 10.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1187.926, mean_absolute_error: 0.0779, 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: 0.1577, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.2942, scimark_benchmark: 1737.5407, usercpu_time_millis: 7.714, usercpu_time_millis_testing: 0.789, usercpu_time_millis_training: 6.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9687, kappa: 0.9367, kb_relative_information_score: 1112.8702, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9688, predictive_accuracy: 0.9687, prior_entropy: 0.9912, recall: 0.9687, relative_absolute_error: 0.219, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.3604, scimark_benchmark: 1727.6306, usercpu_time_millis: 5.036, usercpu_time_millis_testing: 0.645, usercpu_time_millis_training: 4.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3966, kb_relative_information_score: -0.027, 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: 1736.2365, usercpu_time_millis: 0.863, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 0.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9141, kappa: 0.8256, kb_relative_information_score: 826.54, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9173, predictive_accuracy: 0.9147, prior_entropy: 0.9912, recall: 0.9147, relative_absolute_error: 0.4505, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.5497, scimark_benchmark: 1790.4185, usercpu_time_millis: 0.642, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 0.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9614, kappa: 0.9218, kb_relative_information_score: 1076.7043, mean_absolute_error: 0.1222, 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: 0.2474, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.393, scimark_benchmark: 1740.0576, usercpu_time_millis: 0.193, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.164,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9138, kappa: 0.8251, kb_relative_information_score: 950.1256, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9143, predictive_accuracy: 0.914, prior_entropy: 0.9912, recall: 0.914, relative_absolute_error: 0.3368, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.269, root_relative_squared_error: 0.5413, scimark_benchmark: 1743.8685, usercpu_time_millis: 2.795, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 2.561,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9737, kappa: 0.9467, kb_relative_information_score: 1155.8295, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9741, predictive_accuracy: 0.9738, prior_entropy: 0.9912, recall: 0.9738, relative_absolute_error: 0.1823, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.3271, scimark_benchmark: 1768.7914, usercpu_time_millis: 2.476, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 2.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1307.4669, mean_absolute_error: 0.027, 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: 0.0548, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0875, root_relative_squared_error: 0.1762, scimark_benchmark: 1767.4954, usercpu_time_millis: 10.55, usercpu_time_millis_testing: 0.882, usercpu_time_millis_training: 9.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9759, kappa: 0.9512, kb_relative_information_score: 1189.4608, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9761, predictive_accuracy: 0.9759, prior_entropy: 0.9912, recall: 0.9759, relative_absolute_error: 0.1545, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.3011, scimark_benchmark: 1805.2005, usercpu_time_millis: 0.441, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.935, kappa: 0.8681, kb_relative_information_score: 1078.9566, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9355, predictive_accuracy: 0.9351, prior_entropy: 0.9912, recall: 0.9351, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.4308, scimark_benchmark: 1767.0332, usercpu_time_millis: 5.657, usercpu_time_millis_testing: 0.64, usercpu_time_millis_training: 5.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9687, kappa: 0.9367, kb_relative_information_score: 1059.7433, mean_absolute_error: 0.133, 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: 0.2693, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.3756, scimark_benchmark: 1802.8182, usercpu_time_millis: 6.743, usercpu_time_millis_testing: 0.809, usercpu_time_millis_training: 5.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.8961, kappa: 0.7889, kb_relative_information_score: 621.111, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9025, predictive_accuracy: 0.8972, prior_entropy: 0.9912, recall: 0.8972, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.6648, scimark_benchmark: 1829.3299, usercpu_time_millis: 0.797, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 0.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.916, kappa: 0.8295, kb_relative_information_score: 1003.0529, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9165, predictive_accuracy: 0.9162, prior_entropy: 0.9912, recall: 0.9162, relative_absolute_error: 0.2909, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.258, root_relative_squared_error: 0.5193, scimark_benchmark: 1801.2322, usercpu_time_millis: 8.895, usercpu_time_millis_testing: 0.674, usercpu_time_millis_training: 8.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1289.4433, mean_absolute_error: 0.0355, 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: 0.072, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.1866, scimark_benchmark: 1746.6291, usercpu_time_millis: 5.756, usercpu_time_millis_testing: 0.564, usercpu_time_millis_training: 5.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1304.6983, mean_absolute_error: 0.0286, 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: 0.0578, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.1737, scimark_benchmark: 1744.9208, usercpu_time_millis: 2.285, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 2.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1216.5514, mean_absolute_error: 0.0686, 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: 0.1388, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.2388, scimark_benchmark: 1727.5667, usercpu_time_millis: 7.907, usercpu_time_millis_testing: 1.198, usercpu_time_millis_training: 6.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1209.4053, mean_absolute_error: 0.0711, 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: 0.144, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.2506, scimark_benchmark: 1738.2912, usercpu_time_millis: 1.366, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 1.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1291.6352, mean_absolute_error: 0.0341, 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: 0.0691, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0953, root_relative_squared_error: 0.1918, scimark_benchmark: 1736.8443, usercpu_time_millis: 1.966, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 1.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.8923, kappa: 0.7813, kb_relative_information_score: 582.4618, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8991, predictive_accuracy: 0.8936, prior_entropy: 0.9912, recall: 0.8936, relative_absolute_error: 0.6361, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.341, root_relative_squared_error: 0.6863, scimark_benchmark: 1727.1694, usercpu_time_millis: 0.797, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1280.3195, mean_absolute_error: 0.0402, 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: 0.0815, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.1845, scimark_benchmark: 1729.2196, usercpu_time_millis: 4.618, usercpu_time_millis_testing: 0.541, usercpu_time_millis_training: 4.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9621, kappa: 0.9233, kb_relative_information_score: 966.2609, mean_absolute_error: 0.1702, 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: 0.3446, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.222, root_relative_squared_error: 0.4467, scimark_benchmark: 1720.4883, usercpu_time_millis: 5.03, usercpu_time_millis_testing: 0.699, usercpu_time_millis_training: 4.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9519, kappa: 0.9024, kb_relative_information_score: 923.7633, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9519, predictive_accuracy: 0.9519, prior_entropy: 0.9912, recall: 0.9519, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.236, root_relative_squared_error: 0.4748, scimark_benchmark: 1728.0873, usercpu_time_millis: 5.351, usercpu_time_millis_testing: 0.703, usercpu_time_millis_training: 4.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9912, kappa: 0.9823, kb_relative_information_score: 1306.5278, mean_absolute_error: 0.0268, 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: 0.0542, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1009, root_relative_squared_error: 0.2031, scimark_benchmark: 1774.8768, usercpu_time_millis: 5.322, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 4.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.8575, kappa: 0.7126, kb_relative_information_score: 767.8222, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8593, predictive_accuracy: 0.8571, prior_entropy: 0.9912, recall: 0.8571, relative_absolute_error: 0.4834, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.6254, scimark_benchmark: 1782.8618, usercpu_time_millis: 0.843, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.8819, kappa: 0.7609, kb_relative_information_score: 611.108, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8819, predictive_accuracy: 0.8819, prior_entropy: 0.9912, recall: 0.8819, relative_absolute_error: 0.6108, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.6812, scimark_benchmark: 1733.6033, usercpu_time_millis: 0.816, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 0.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9074, kappa: 0.812, kb_relative_information_score: 720.7283, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9113, predictive_accuracy: 0.9082, prior_entropy: 0.9912, recall: 0.9082, relative_absolute_error: 0.5338, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3, root_relative_squared_error: 0.6038, scimark_benchmark: 1718.6939, usercpu_time_millis: 2.557, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 2.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9104, kappa: 0.8181, kb_relative_information_score: 821.511, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9137, predictive_accuracy: 0.9111, prior_entropy: 0.9912, recall: 0.9111, relative_absolute_error: 0.4513, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2774, root_relative_squared_error: 0.5582, scimark_benchmark: 1735.7276, usercpu_time_millis: 4.269, usercpu_time_millis_testing: 0.564, usercpu_time_millis_training: 3.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3966, kb_relative_information_score: 0.0471, 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: 1990.4082, usercpu_time_millis: 0.576, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.9138, kappa: 0.8251, kb_relative_information_score: 988.0322, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9142, predictive_accuracy: 0.914, prior_entropy: 0.9912, recall: 0.914, relative_absolute_error: 0.305, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.5363, scimark_benchmark: 1772.8003, usercpu_time_millis: 7.381, usercpu_time_millis_testing: 0.633, usercpu_time_millis_training: 6.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9393, kappa: 0.877, kb_relative_information_score: 1041.507, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9399, predictive_accuracy: 0.9395, prior_entropy: 0.9912, recall: 0.9395, relative_absolute_error: 0.269, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.4509, scimark_benchmark: 1725.4076, usercpu_time_millis: 3.421, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 3.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1245.8123, mean_absolute_error: 0.0541, 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: 0.1096, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.2338, scimark_benchmark: 1732.8117, usercpu_time_millis: 0.331, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8743, kappa: 0.7449, kb_relative_information_score: 545.6164, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8747, predictive_accuracy: 0.8746, prior_entropy: 0.9912, recall: 0.8746, relative_absolute_error: 0.6608, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7123, scimark_benchmark: 1701.1813, usercpu_time_millis: 2.999, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 2.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9159, kappa: 0.8293, kb_relative_information_score: 1003.6778, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9168, predictive_accuracy: 0.9162, prior_entropy: 0.9912, recall: 0.9162, relative_absolute_error: 0.2908, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2548, root_relative_squared_error: 0.5127, scimark_benchmark: 1737.8407, usercpu_time_millis: 5.6, usercpu_time_millis_testing: 0.577, usercpu_time_millis_training: 5.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1278.2525, mean_absolute_error: 0.039, 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: 0.0789, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.2246, scimark_benchmark: 1728.4611, usercpu_time_millis: 4.531, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 4.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1256.128, mean_absolute_error: 0.0508, 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: 0.1028, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.2091, scimark_benchmark: 1720.8528, usercpu_time_millis: 0.558, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1247.3537, mean_absolute_error: 0.0525, 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: 0.1062, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.2465, scimark_benchmark: 1778.9757, usercpu_time_millis: 11.078, usercpu_time_millis_testing: 0.88, usercpu_time_millis_training: 10.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1214.5476, mean_absolute_error: 0.0693, 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: 0.1404, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1203, root_relative_squared_error: 0.2422, scimark_benchmark: 1757.9681, usercpu_time_millis: 1.033, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9796, kappa: 0.9587, kb_relative_information_score: 1222.6924, mean_absolute_error: 0.0618, 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: 0.1252, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.2839, scimark_benchmark: 1745.6581, usercpu_time_millis: 4.932, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 4.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: 0.0543, 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: 1790.1518, usercpu_time_millis: 1.365, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 1.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1294.7889, mean_absolute_error: 0.0331, 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: 0.0671, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.1813, scimark_benchmark: 1934.6053, usercpu_time_millis: 3.023, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 2.756,

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