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: 0.9996, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1254.1413, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.1029, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.2222, scimark_benchmark: 1874.5188, usercpu_time_millis: 2.769, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 2.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9201, kappa: 0.8377, kb_relative_information_score: 781.3517, mean_absolute_error: 0.2406, 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: 0.4872, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.5694, scimark_benchmark: 1835.6369, usercpu_time_millis: 3.19, usercpu_time_millis_testing: 0.47, usercpu_time_millis_training: 2.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9912, kappa: 0.9823, kb_relative_information_score: 1277.0731, mean_absolute_error: 0.041, 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: 0.083, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.1982, scimark_benchmark: 1747.4088, usercpu_time_millis: 8.305, usercpu_time_millis_testing: 0.919, usercpu_time_millis_training: 7.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: 0.0433, 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: 1877.2162, usercpu_time_millis: 1.85, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 1.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.8625, kappa: 0.7221, kb_relative_information_score: 662.7607, mean_absolute_error: 0.281, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8632, predictive_accuracy: 0.8622, prior_entropy: 0.9912, recall: 0.8622, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6692, scimark_benchmark: 1870.742, usercpu_time_millis: 2.659, usercpu_time_millis_testing: 0.305, usercpu_time_millis_training: 2.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1297.5981, mean_absolute_error: 0.0309, 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: 0.0625, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1015, root_relative_squared_error: 0.2043, scimark_benchmark: 1835.1089, usercpu_time_millis: 2.25, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 2.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1197.015, mean_absolute_error: 0.0764, 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: 0.1547, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1299, root_relative_squared_error: 0.2614, scimark_benchmark: 1842.0774, usercpu_time_millis: 2.336, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 2.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3966, kb_relative_information_score: 0.0483, 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: 1840.5082, usercpu_time_millis: 2.224, usercpu_time_millis_testing: 0.305, usercpu_time_millis_training: 1.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1278.7558, mean_absolute_error: 0.0402, 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: 0.0813, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.1978, scimark_benchmark: 1873.4078, usercpu_time_millis: 1.236, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 1.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.929, kappa: 0.8558, kb_relative_information_score: 1016.1815, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9305, predictive_accuracy: 0.9293, prior_entropy: 0.9912, recall: 0.9293, relative_absolute_error: 0.2876, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.4692, scimark_benchmark: 1836.5407, usercpu_time_millis: 1.576, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 1.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1231.4228, mean_absolute_error: 0.0601, 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: 0.1217, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.2509, scimark_benchmark: 1869.6309, usercpu_time_millis: 5.156, usercpu_time_millis_testing: 0.589, usercpu_time_millis_training: 4.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9379, kappa: 0.874, kb_relative_information_score: 1048.4081, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9386, predictive_accuracy: 0.938, prior_entropy: 0.9912, recall: 0.938, relative_absolute_error: 0.263, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.4472, scimark_benchmark: 1836.5407, usercpu_time_millis: 0.757, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9723, kappa: 0.9438, kb_relative_information_score: 1147.6333, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9724, predictive_accuracy: 0.9723, prior_entropy: 0.9912, recall: 0.9723, relative_absolute_error: 0.1895, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.3326, scimark_benchmark: 1863.3902, usercpu_time_millis: 1.077, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 0.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9738, kappa: 0.9469, kb_relative_information_score: 1195.8721, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9738, predictive_accuracy: 0.9738, prior_entropy: 0.9912, recall: 0.9738, relative_absolute_error: 0.146, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.158, root_relative_squared_error: 0.318, scimark_benchmark: 1733.7991, usercpu_time_millis: 1.86, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 1.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1321.6704, mean_absolute_error: 0.0201, 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: 0.0406, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0875, root_relative_squared_error: 0.1761, scimark_benchmark: 1860.2646, usercpu_time_millis: 7.91, usercpu_time_millis_testing: 0.563, usercpu_time_millis_training: 7.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.0763, 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: 1834.5587, usercpu_time_millis: 0.949, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 0.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3966, kb_relative_information_score: 0.0389, 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: 1868.1832, usercpu_time_millis: 1.235, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 0.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9152, kappa: 0.828, kb_relative_information_score: 996.364, mean_absolute_error: 0.1469, 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: 0.2974, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.5234, scimark_benchmark: 1870.2139, usercpu_time_millis: 3.886, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 3.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1260.51, mean_absolute_error: 0.0471, 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: 0.0954, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1137, root_relative_squared_error: 0.2288, scimark_benchmark: 1871.2141, usercpu_time_millis: 1.483, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 1.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: 0.0244, 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: 1868.6447, usercpu_time_millis: 1.504, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 1.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.965, kappa: 0.9293, kb_relative_information_score: 1016.9806, mean_absolute_error: 0.1494, 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: 0.3025, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.4138, scimark_benchmark: 1862.1704, usercpu_time_millis: 2.545, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 2.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9694, kappa: 0.9379, kb_relative_information_score: 1121.2381, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9694, predictive_accuracy: 0.9694, prior_entropy: 0.9912, recall: 0.9694, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.3572, scimark_benchmark: 1872.4216, 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: 0.5005, f_measure: 0.3966, kb_relative_information_score: -0.0956, 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: 1872.4881, usercpu_time_millis: 0.878, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 0.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.1764, 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: 1867.741, usercpu_time_millis: 1.094, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 0.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: -0.153, 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: 1869.1029, usercpu_time_millis: 0.348, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9789, kappa: 0.9572, kb_relative_information_score: 1154.2596, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9789, predictive_accuracy: 0.9789, prior_entropy: 0.9912, recall: 0.9789, relative_absolute_error: 0.186, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3214, scimark_benchmark: 1871.9601, usercpu_time_millis: 0.575, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1258.5746, mean_absolute_error: 0.0487, 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: 0.0986, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.2226, scimark_benchmark: 1869.2497, usercpu_time_millis: 5.776, usercpu_time_millis_testing: 0.436, usercpu_time_millis_training: 5.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.8741, kappa: 0.7456, kb_relative_information_score: 746.3503, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8747, predictive_accuracy: 0.8739, prior_entropy: 0.9912, recall: 0.8739, relative_absolute_error: 0.5073, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.6062, scimark_benchmark: 1870.4545, usercpu_time_millis: 2.523, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 2.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9752, kappa: 0.9498, kb_relative_information_score: 1199.6027, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9752, predictive_accuracy: 0.9752, prior_entropy: 0.9912, recall: 0.9752, relative_absolute_error: 0.1441, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.153, root_relative_squared_error: 0.3079, scimark_benchmark: 1861.1843, usercpu_time_millis: 4.779, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 4.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9708, kappa: 0.9409, kb_relative_information_score: 1144.08, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9708, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.1908, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.3436, scimark_benchmark: 1862.7535, usercpu_time_millis: 3.397, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 3.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1246.1882, mean_absolute_error: 0.0521, 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: 0.1054, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1294, root_relative_squared_error: 0.2605, scimark_benchmark: 1869.6309, usercpu_time_millis: 0.963, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9803, kappa: 0.9601, kb_relative_information_score: 1161.7695, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9803, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.3094, scimark_benchmark: 1867.741, usercpu_time_millis: 5.283, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 4.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9109, kappa: 0.8192, kb_relative_information_score: 1010.1369, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9113, predictive_accuracy: 0.9111, prior_entropy: 0.9912, recall: 0.9111, relative_absolute_error: 0.2838, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.5361, scimark_benchmark: 1858.4861, usercpu_time_millis: 4.951, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 4.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1282.5812, mean_absolute_error: 0.0385, 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: 0.078, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0956, root_relative_squared_error: 0.1924, scimark_benchmark: 1868.6447, usercpu_time_millis: 4.899, usercpu_time_millis_testing: 0.455, usercpu_time_millis_training: 4.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.976, kappa: 0.9513, kb_relative_information_score: 1146.085, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.976, predictive_accuracy: 0.9759, prior_entropy: 0.9912, recall: 0.9759, relative_absolute_error: 0.1932, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.3261, scimark_benchmark: 1861.1173, usercpu_time_millis: 3.8, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 3.483,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1284.5179, mean_absolute_error: 0.0384, 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: 0.0777, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.1802, scimark_benchmark: 1861.8971, usercpu_time_millis: 8.757, usercpu_time_millis_testing: 1.027, usercpu_time_millis_training: 7.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, 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: 1864.9594, usercpu_time_millis: 2.068, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 1.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9825, kappa: 0.9646, kb_relative_information_score: 1219.3008, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.1282, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.2847, scimark_benchmark: 1852.6642, usercpu_time_millis: 5.531, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 5.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1234.2295, mean_absolute_error: 0.0606, 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: 0.1227, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.2259, scimark_benchmark: 1866.5624, usercpu_time_millis: 3.947, usercpu_time_millis_testing: 0.468, usercpu_time_millis_training: 3.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1311.3825, mean_absolute_error: 0.0255, 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: 0.0516, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.1686, scimark_benchmark: 1858.4861, usercpu_time_millis: 5.55, usercpu_time_millis_testing: 0.456, usercpu_time_millis_training: 5.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.3966, kb_relative_information_score: -0.0467, 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: 1863.4543, usercpu_time_millis: 1.732, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 1.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9194, kappa: 0.8364, kb_relative_information_score: 980.3923, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9213, predictive_accuracy: 0.9198, prior_entropy: 0.9912, recall: 0.9198, relative_absolute_error: 0.3148, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2535, root_relative_squared_error: 0.5101, scimark_benchmark: 1864.3098, usercpu_time_millis: 1.564, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 1.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: 0.0854, 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: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1864.8184, usercpu_time_millis: 2.011, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 1.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3966, kb_relative_information_score: -0.0185, 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: 1865.3572, usercpu_time_millis: 0.781, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 0.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, 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: 1849.9221, usercpu_time_millis: 1.597, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 1.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1281.7065, mean_absolute_error: 0.0391, 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: 0.0792, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0952, root_relative_squared_error: 0.1915, scimark_benchmark: 1861.7123, usercpu_time_millis: 3.804, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 3.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1254.2259, mean_absolute_error: 0.049, 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: 0.0992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1235, root_relative_squared_error: 0.2486, scimark_benchmark: 1863.4543, usercpu_time_millis: 6.734, usercpu_time_millis_testing: 0.455, usercpu_time_millis_training: 6.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1272.5664, mean_absolute_error: 0.0438, 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: 0.0886, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.1904, scimark_benchmark: 1864.8605, usercpu_time_millis: 8.236, usercpu_time_millis_testing: 0.94, usercpu_time_millis_training: 7.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9497, kappa: 0.898, kb_relative_information_score: 1094.814, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9498, predictive_accuracy: 0.9497, prior_entropy: 0.9912, recall: 0.9497, relative_absolute_error: 0.2273, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.4041, scimark_benchmark: 1871.5019, usercpu_time_millis: 7.191, usercpu_time_millis_testing: 0.578, usercpu_time_millis_training: 6.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.851, kappa: 0.6996, kb_relative_information_score: 732.0999, 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: 0.508, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.345, root_relative_squared_error: 0.6944, scimark_benchmark: 1863.3323, usercpu_time_millis: 0.943, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.973, kappa: 0.9454, kb_relative_information_score: 1147.0376, mean_absolute_error: 0.0932, 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: 0.1888, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.339, scimark_benchmark: 1872.4956, usercpu_time_millis: 2.308, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 2.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1249.1652, mean_absolute_error: 0.0541, 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: 0.1096, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1056, root_relative_squared_error: 0.2126, scimark_benchmark: 1863.9124, usercpu_time_millis: 0.609, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1271.5141, mean_absolute_error: 0.043, 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: 0.0871, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.105, root_relative_squared_error: 0.2112, scimark_benchmark: 1866.0402, usercpu_time_millis: 9.433, usercpu_time_millis_testing: 0.77, usercpu_time_millis_training: 8.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.916, kappa: 0.8295, kb_relative_information_score: 999.9627, mean_absolute_error: 0.1453, 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: 0.2943, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2578, root_relative_squared_error: 0.5187, scimark_benchmark: 1862.0703, usercpu_time_millis: 2.647, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 2.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1241.0669, mean_absolute_error: 0.0579, 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: 0.1173, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.2159, scimark_benchmark: 1870.1619, usercpu_time_millis: 2.154, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 1.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9796, kappa: 0.9586, kb_relative_information_score: 1215.0598, mean_absolute_error: 0.0655, 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: 0.1327, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.2794, scimark_benchmark: 1862.6865, usercpu_time_millis: 4.454, usercpu_time_millis_testing: 0.533, usercpu_time_millis_training: 3.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1237.3363, mean_absolute_error: 0.0596, 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: 0.1208, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.2184, scimark_benchmark: 1861.8971, usercpu_time_millis: 6.603, usercpu_time_millis_testing: 0.773, usercpu_time_millis_training: 5.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9111, kappa: 0.8195, kb_relative_information_score: 722.4269, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9147, predictive_accuracy: 0.9118, prior_entropy: 0.9912, recall: 0.9118, relative_absolute_error: 0.5327, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.604, scimark_benchmark: 1855.4148, usercpu_time_millis: 2.467, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 2.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9672, kappa: 0.9337, kb_relative_information_score: 1099.1876, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9674, predictive_accuracy: 0.9672, prior_entropy: 0.9912, recall: 0.9672, relative_absolute_error: 0.2298, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.3748, scimark_benchmark: 1866.0068, usercpu_time_millis: 0.987, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.8546, kappa: 0.7069, kb_relative_information_score: 762.6601, mean_absolute_error: 0.241, 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: 0.4881, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.6364, scimark_benchmark: 1868.3152, usercpu_time_millis: 0.294, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9854, kappa: 0.9704, kb_relative_information_score: 1221.7566, mean_absolute_error: 0.0636, 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: 0.1288, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.2651, scimark_benchmark: 1829.1327, usercpu_time_millis: 2.201, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 2.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1306.692, mean_absolute_error: 0.0271, 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: 0.055, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.1824, scimark_benchmark: 1866.9963, usercpu_time_millis: 0.168, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1281.4896, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.987, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.0762, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.11, root_relative_squared_error: 0.2214, scimark_benchmark: 1861.3908, usercpu_time_millis: 5.165, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 4.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9796, kappa: 0.9586, kb_relative_information_score: 1230.4359, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9799, predictive_accuracy: 0.9796, prior_entropy: 0.9912, recall: 0.9796, relative_absolute_error: 0.1174, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.2807, scimark_benchmark: 1865.9581, usercpu_time_millis: 0.133, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9416, kappa: 0.8815, kb_relative_information_score: 1099.943, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.942, predictive_accuracy: 0.9417, prior_entropy: 0.9912, recall: 0.9417, relative_absolute_error: 0.2196, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4076, scimark_benchmark: 1865.1205, usercpu_time_millis: 4.221, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 3.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9818, kappa: 0.963, kb_relative_information_score: 1233.108, mean_absolute_error: 0.0574, 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: 0.1162, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.2733, scimark_benchmark: 1868.2531, usercpu_time_millis: 5.493, usercpu_time_millis_testing: 0.487, usercpu_time_millis_training: 5.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9126, kappa: 0.8225, kb_relative_information_score: 874.7256, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9162, predictive_accuracy: 0.9133, prior_entropy: 0.9912, recall: 0.9133, relative_absolute_error: 0.4089, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.5308, scimark_benchmark: 1835.0868, usercpu_time_millis: 3.899, usercpu_time_millis_testing: 0.451, usercpu_time_millis_training: 3.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9239, kappa: 0.8455, kb_relative_information_score: 1000.1206, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9252, predictive_accuracy: 0.9242, prior_entropy: 0.9912, recall: 0.9242, relative_absolute_error: 0.2996, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.4875, scimark_benchmark: 1862.932, usercpu_time_millis: 0.223, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 0.088,

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