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: 0.9898, kappa: 0.9794, kb_relative_information_score: 1239.7028, mean_absolute_error: 0.0589, 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: 0.1192, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1056, root_relative_squared_error: 0.2125, scimark_benchmark: 1754.2456, usercpu_time_millis: 6.285, usercpu_time_millis_testing: 0.526, usercpu_time_millis_training: 5.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1287.303, 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: 0.0733, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.1938, scimark_benchmark: 1757.5659, usercpu_time_millis: 5.644, usercpu_time_millis_testing: 0.579, usercpu_time_millis_training: 5.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1327.9141, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0373, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.154, scimark_benchmark: 1760.3984, usercpu_time_millis: 7.882, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 7.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1294.3635, mean_absolute_error: 0.0325, 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: 0.0658, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1013, root_relative_squared_error: 0.2039, scimark_benchmark: 1760.6116, usercpu_time_millis: 3.73, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 3.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9423, kappa: 0.883, kb_relative_information_score: 1037.9161, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9426, predictive_accuracy: 0.9424, prior_entropy: 0.9912, recall: 0.9424, relative_absolute_error: 0.2727, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.4524, scimark_benchmark: 1754.4723, usercpu_time_millis: 2.667, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 2.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1241.5368, mean_absolute_error: 0.0568, 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: 0.1151, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.229, scimark_benchmark: 1746.9471, usercpu_time_millis: 2.127, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 1.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1265.406, mean_absolute_error: 0.0475, 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: 0.0962, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0942, root_relative_squared_error: 0.1895, scimark_benchmark: 1753.5406, usercpu_time_millis: 0.503, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9723, kappa: 0.9441, kb_relative_information_score: 1045.0539, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9726, predictive_accuracy: 0.9723, prior_entropy: 0.9912, recall: 0.9723, relative_absolute_error: 0.283, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.382, scimark_benchmark: 1752.971, usercpu_time_millis: 1.637, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 1.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9825, kappa: 0.9646, kb_relative_information_score: 1136.6199, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9826, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.3123, scimark_benchmark: 1744.3899, usercpu_time_millis: 0.383, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3966, kb_relative_information_score: -0.083, 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: 1746.1722, usercpu_time_millis: 0.485, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 0.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0258, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1733.8236, usercpu_time_millis: 1.15, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 0.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3966, kb_relative_information_score: 0.0332, 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: 1756.861, usercpu_time_millis: 0.749, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 0.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9832, kappa: 0.9661, kb_relative_information_score: 1248.1677, mean_absolute_error: 0.0512, 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: 0.1038, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.2578, scimark_benchmark: 1843.9705, usercpu_time_millis: 1.337, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 1.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.8916, kappa: 0.7799, kb_relative_information_score: 500.0137, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.898, predictive_accuracy: 0.8929, prior_entropy: 0.9912, recall: 0.8929, relative_absolute_error: 0.6946, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7326, scimark_benchmark: 1823.9791, usercpu_time_millis: 3.434, usercpu_time_millis_testing: 0.425, usercpu_time_millis_training: 3.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.8865, kappa: 0.7707, kb_relative_information_score: 756.2795, mean_absolute_error: 0.2472, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8873, predictive_accuracy: 0.8863, prior_entropy: 0.9912, recall: 0.8863, relative_absolute_error: 0.5006, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.297, root_relative_squared_error: 0.5976, scimark_benchmark: 1834.5221, usercpu_time_millis: 3.513, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 3.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9781, kappa: 0.9558, kb_relative_information_score: 1236.0526, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9782, predictive_accuracy: 0.9781, prior_entropy: 0.9912, recall: 0.9781, relative_absolute_error: 0.1138, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.2735, scimark_benchmark: 1837.1532, usercpu_time_millis: 8.566, usercpu_time_millis_testing: 0.501, usercpu_time_millis_training: 8.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1250.1537, mean_absolute_error: 0.0545, 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: 0.1103, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.2002, scimark_benchmark: 1824.6222, usercpu_time_millis: 3.641, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 3.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9709, kappa: 0.9411, kb_relative_information_score: 988.0638, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9712, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.4274, scimark_benchmark: 1846.636, usercpu_time_millis: 5.84, usercpu_time_millis_testing: 0.61, usercpu_time_millis_training: 5.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9789, kappa: 0.9572, kb_relative_information_score: 1204.6875, mean_absolute_error: 0.0705, 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: 0.1428, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.2824, scimark_benchmark: 1837.9174, usercpu_time_millis: 3.173, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 2.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: -0.3145, 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: 1840.7079, usercpu_time_millis: 0.131, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9636, kappa: 0.9263, kb_relative_information_score: 957.9944, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9636, predictive_accuracy: 0.9636, prior_entropy: 0.9912, recall: 0.9636, relative_absolute_error: 0.352, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.45, scimark_benchmark: 1829.9917, usercpu_time_millis: 0.982, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1238.7889, mean_absolute_error: 0.0566, 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: 0.1146, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1227, root_relative_squared_error: 0.2469, scimark_benchmark: 1845.5967, usercpu_time_millis: 5.382, usercpu_time_millis_testing: 0.47, usercpu_time_millis_training: 4.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1245.2867, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.1088, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.122, root_relative_squared_error: 0.2456, scimark_benchmark: 1836.4997, usercpu_time_millis: 9.154, usercpu_time_millis_testing: 0.524, usercpu_time_millis_training: 8.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1306.8159, mean_absolute_error: 0.0282, 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: 0.0571, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.1628, scimark_benchmark: 1835.6204, usercpu_time_millis: 1.348, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 1.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1308.497, mean_absolute_error: 0.0272, 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: 0.0551, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0837, root_relative_squared_error: 0.1684, scimark_benchmark: 1834.5618, usercpu_time_millis: 9.606, usercpu_time_millis_testing: 0.517, usercpu_time_millis_training: 9.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1315.0274, mean_absolute_error: 0.0234, 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: 0.0474, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0919, root_relative_squared_error: 0.1848, scimark_benchmark: 1846.8389, usercpu_time_millis: 11.745, usercpu_time_millis_testing: 0.557, usercpu_time_millis_training: 11.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9091, kappa: 0.8154, kb_relative_information_score: 839.9859, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9114, predictive_accuracy: 0.9096, prior_entropy: 0.9912, recall: 0.9096, relative_absolute_error: 0.4368, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5476, scimark_benchmark: 1842.7604, usercpu_time_millis: 3.318, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 2.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9138, kappa: 0.8252, kb_relative_information_score: 1007.8804, mean_absolute_error: 0.1415, 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: 0.2866, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.526, scimark_benchmark: 1836.0529, usercpu_time_millis: 1.901, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 1.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: -0.0127, 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: 1854.1655, usercpu_time_millis: 1.684, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 1.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9767, kappa: 0.9529, kb_relative_information_score: 1094.8027, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9768, predictive_accuracy: 0.9767, prior_entropy: 0.9912, recall: 0.9767, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.3445, scimark_benchmark: 1838.7663, usercpu_time_millis: 1.116, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1301.5059, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0622, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.082, root_relative_squared_error: 0.165, scimark_benchmark: 1859.2842, usercpu_time_millis: 0.392, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: 0.0273, 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: 1808.8243, usercpu_time_millis: 0.933, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 0.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1323.1632, mean_absolute_error: 0.0196, 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: 0.0397, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.091, root_relative_squared_error: 0.1831, scimark_benchmark: 1817.1173, usercpu_time_millis: 9.026, usercpu_time_millis_testing: 0.583, usercpu_time_millis_training: 8.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.8517, kappa: 0.7011, kb_relative_information_score: 732.3932, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8538, predictive_accuracy: 0.8513, prior_entropy: 0.9912, recall: 0.8513, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.344, root_relative_squared_error: 0.6923, scimark_benchmark: 1837.6436, usercpu_time_millis: 2.445, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 2.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1264.6506, mean_absolute_error: 0.0461, 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: 0.0934, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.2164, scimark_benchmark: 1968.3035, usercpu_time_millis: 3.662, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 3.424,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1280.0338, mean_absolute_error: 0.0401, 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: 0.0811, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.1899, scimark_benchmark: 1322.2352, usercpu_time_millis: 4.16, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 3.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9832, kappa: 0.966, kb_relative_information_score: 1228.6395, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9832, predictive_accuracy: 0.9832, prior_entropy: 0.9912, recall: 0.9832, relative_absolute_error: 0.1227, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1314, root_relative_squared_error: 0.2645, scimark_benchmark: 1351.7754, usercpu_time_millis: 8.05, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 7.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 1256.88, mean_absolute_error: 0.049, 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: 0.0993, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.2295, scimark_benchmark: 1297.9555, usercpu_time_millis: 0.15, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1240.3594, mean_absolute_error: 0.0588, 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: 0.119, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.21, scimark_benchmark: 1377.3027, usercpu_time_millis: 7.62, usercpu_time_millis_testing: 0.75, usercpu_time_millis_training: 6.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9949, kappa: 0.9897, kb_relative_information_score: 1338.3276, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 0.9912, recall: 0.9949, relative_absolute_error: 0.0278, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0733, root_relative_squared_error: 0.1475, scimark_benchmark: 1324.0483, usercpu_time_millis: 1.72, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 1.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8806, kappa: 0.7588, kb_relative_information_score: 744.6065, mean_absolute_error: 0.2518, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8812, predictive_accuracy: 0.8805, prior_entropy: 0.9912, recall: 0.8805, relative_absolute_error: 0.5099, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3, root_relative_squared_error: 0.6038, scimark_benchmark: 1319.8911, usercpu_time_millis: 1.47, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 1.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.8931, kappa: 0.7829, kb_relative_information_score: 606.544, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8995, predictive_accuracy: 0.8943, prior_entropy: 0.9912, recall: 0.8943, relative_absolute_error: 0.6186, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.672, scimark_benchmark: 1323.1522, usercpu_time_millis: 1.95, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 1.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: 0.0663, 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: 1286.4908, usercpu_time_millis: 0.96, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 0.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1305.5237, mean_absolute_error: 0.0276, 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: 0.056, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0953, root_relative_squared_error: 0.1918, scimark_benchmark: 1326.1358, usercpu_time_millis: 5.07, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 4.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.8923, kappa: 0.7812, kb_relative_information_score: 530.7415, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8994, predictive_accuracy: 0.8936, prior_entropy: 0.9912, recall: 0.8936, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.7179, scimark_benchmark: 1333.0357, usercpu_time_millis: 0.91, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 0.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3966, kb_relative_information_score: 0.0386, 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: 1333.4353, usercpu_time_millis: 0.45, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9789, kappa: 0.9572, kb_relative_information_score: 1190.1885, mean_absolute_error: 0.0764, 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: 0.1547, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.2974, scimark_benchmark: 1293.3267, usercpu_time_millis: 0.76, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 0.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1318.23, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0463, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.1586, scimark_benchmark: 1290.3843, usercpu_time_millis: 8.09, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 7.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0528, 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: 1287.2601, usercpu_time_millis: 0.44, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 0.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9767, kappa: 0.9528, kb_relative_information_score: 1250.7008, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9767, predictive_accuracy: 0.9767, prior_entropy: 0.9912, recall: 0.9767, relative_absolute_error: 0.0969, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.2928, scimark_benchmark: 1274.9546, usercpu_time_millis: 6.25, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 5.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1294.2081, mean_absolute_error: 0.0335, 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: 0.0679, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.1839, scimark_benchmark: 1310.0657, usercpu_time_millis: 6.5, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 6.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.0416, 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: 1322.148, usercpu_time_millis: 2.59, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 2.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1308.8551, 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: 0.0546, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0845, root_relative_squared_error: 0.17, scimark_benchmark: 1277.6894, usercpu_time_millis: 6.56, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 6.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1320.3078, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0448, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0746, root_relative_squared_error: 0.1501, scimark_benchmark: 1340.229, usercpu_time_millis: 4.2, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 3.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9803, kappa: 0.9602, kb_relative_information_score: 1248.0713, mean_absolute_error: 0.0513, 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: 0.1039, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.255, scimark_benchmark: 1269.4116, usercpu_time_millis: 5.94, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 5.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1271.1501, mean_absolute_error: 0.0441, 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: 0.0894, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.1976, scimark_benchmark: 1285.5475, usercpu_time_millis: 7.43, usercpu_time_millis_testing: 0.47, usercpu_time_millis_training: 6.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9268, kappa: 0.8514, kb_relative_information_score: 998.1399, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9281, predictive_accuracy: 0.9271, prior_entropy: 0.9912, recall: 0.9271, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.4833, scimark_benchmark: 1329.6906, usercpu_time_millis: 1.57, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 1.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9138, kappa: 0.8252, kb_relative_information_score: 1007.5969, mean_absolute_error: 0.1416, 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: 0.2867, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.5255, scimark_benchmark: 1301.7051, usercpu_time_millis: 3.16, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 2.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9811, kappa: 0.9617, kb_relative_information_score: 1106.2255, mean_absolute_error: 0.1153, 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: 0.2334, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.3303, scimark_benchmark: 1302.2574, usercpu_time_millis: 2.03, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 1.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1327.2069, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.9912, recall: 0.9942, relative_absolute_error: 0.0385, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0711, root_relative_squared_error: 0.1432, scimark_benchmark: 1338.3169, usercpu_time_millis: 9.37, usercpu_time_millis_testing: 0.62, usercpu_time_millis_training: 8.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1313.6538, mean_absolute_error: 0.0239, 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: 0.0485, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.1887, scimark_benchmark: 1409.3064, usercpu_time_millis: 9.99, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 9.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1298.1443, mean_absolute_error: 0.0321, 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: 0.065, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.085, root_relative_squared_error: 0.1711, scimark_benchmark: 1305.2681, usercpu_time_millis: 7.11, usercpu_time_millis_testing: 0.62, usercpu_time_millis_training: 6.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9431, kappa: 0.8847, kb_relative_information_score: 1109.3441, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9432, predictive_accuracy: 0.9431, prior_entropy: 0.9912, recall: 0.9431, relative_absolute_error: 0.2106, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.4092, scimark_benchmark: 1304.6142, usercpu_time_millis: 2.31, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 2.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9731, kappa: 0.9455, kb_relative_information_score: 1119.7381, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9733, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.349, scimark_benchmark: 1288.7992, usercpu_time_millis: 4.31, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 3.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9134, kappa: 0.8242, kb_relative_information_score: 904.4331, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9161, predictive_accuracy: 0.914, prior_entropy: 0.9912, recall: 0.914, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.257, root_relative_squared_error: 0.5172, scimark_benchmark: 1278.1715, usercpu_time_millis: 0.91, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9825, kappa: 0.9646, kb_relative_information_score: 1112.489, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9826, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.2283, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.3243, scimark_benchmark: 1270.9815, usercpu_time_millis: 2.94, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 2.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8618, kappa: 0.7209, kb_relative_information_score: 658.3061, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8628, predictive_accuracy: 0.8615, prior_entropy: 0.9912, recall: 0.8615, relative_absolute_error: 0.5727, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.333, root_relative_squared_error: 0.67, scimark_benchmark: 1345.0074, usercpu_time_millis: 2.21, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 1.96,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs