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: 0.9854, f_measure: 0.9307, kappa: 0.8595, kb_relative_information_score: 1070.3037, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9308, predictive_accuracy: 0.9308, prior_entropy: 0.9912, recall: 0.9308, relative_absolute_error: 0.2406, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.4484, scimark_benchmark: 1851.0585, usercpu_time_millis: 0.704, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1236.1479, mean_absolute_error: 0.0588, 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: 0.1191, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1175, root_relative_squared_error: 0.2364, scimark_benchmark: 1853.529, usercpu_time_millis: 3.639, usercpu_time_millis_testing: 0.368, usercpu_time_millis_training: 3.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: -0.0398, 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: 1861.3749, usercpu_time_millis: 2.245, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 1.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9912, kappa: 0.9823, kb_relative_information_score: 1289.5483, mean_absolute_error: 0.0353, 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: 0.0716, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0934, root_relative_squared_error: 0.188, scimark_benchmark: 1851.0585, usercpu_time_millis: 0.999, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 0.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1260.4216, mean_absolute_error: 0.0473, 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: 0.0957, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.113, root_relative_squared_error: 0.2275, scimark_benchmark: 1850.6054, usercpu_time_millis: 5.001, usercpu_time_millis_testing: 0.534, usercpu_time_millis_training: 4.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.8923, kappa: 0.7813, kb_relative_information_score: 630.0299, mean_absolute_error: 0.2967, 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: 0.6008, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.661, scimark_benchmark: 1862.0186, usercpu_time_millis: 0.871, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 0.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9577, kappa: 0.9143, kb_relative_information_score: 1066.7164, mean_absolute_error: 0.1257, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9577, predictive_accuracy: 0.9577, prior_entropy: 0.9912, recall: 0.9577, relative_absolute_error: 0.2544, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.4077, scimark_benchmark: 1875.903, usercpu_time_millis: 0.398, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9305, kappa: 0.8589, kb_relative_information_score: 1017.7419, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9317, predictive_accuracy: 0.9308, prior_entropy: 0.9912, recall: 0.9308, relative_absolute_error: 0.2874, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.4704, scimark_benchmark: 1723.8438, usercpu_time_millis: 4.314, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 3.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: 0.068, 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: 0.437, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9912, kappa: 0.9823, kb_relative_information_score: 1290.9514, mean_absolute_error: 0.0347, 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: 0.0704, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.1873, scimark_benchmark: 1864.739, usercpu_time_millis: 0.535, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1248.9922, mean_absolute_error: 0.0542, 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: 0.1097, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.2122, scimark_benchmark: 1853.8474, usercpu_time_millis: 4.873, usercpu_time_millis_testing: 0.603, usercpu_time_millis_training: 4.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.8826, kappa: 0.762, kb_relative_information_score: 607.7394, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8825, predictive_accuracy: 0.8827, prior_entropy: 0.9912, recall: 0.8827, relative_absolute_error: 0.6133, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.6833, scimark_benchmark: 1842.3616, usercpu_time_millis: 0.926, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 0.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9188, kappa: 0.8352, kb_relative_information_score: 1010.4063, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9199, predictive_accuracy: 0.9191, prior_entropy: 0.9912, recall: 0.9191, relative_absolute_error: 0.286, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.5048, scimark_benchmark: 1852.9397, usercpu_time_millis: 5.532, usercpu_time_millis_testing: 0.776, usercpu_time_millis_training: 4.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.929, kappa: 0.8559, kb_relative_information_score: 1006.7287, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9304, predictive_accuracy: 0.9293, prior_entropy: 0.9912, recall: 0.9293, relative_absolute_error: 0.2948, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.4868, scimark_benchmark: 1840.3081, usercpu_time_millis: 3.391, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 3.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9658, kappa: 0.9307, kb_relative_information_score: 1081.0176, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9658, predictive_accuracy: 0.9657, prior_entropy: 0.9912, recall: 0.9657, relative_absolute_error: 0.2447, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.3887, scimark_benchmark: 1852.5429, usercpu_time_millis: 3.619, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 3.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1303.2358, mean_absolute_error: 0.0284, 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: 0.0575, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.2001, scimark_benchmark: 1859.9421, usercpu_time_millis: 3.741, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 3.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3966, kb_relative_information_score: 0.0753, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1857.2678, usercpu_time_millis: 2.455, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 2.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9238, kappa: 0.8453, kb_relative_information_score: 857.0054, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9257, predictive_accuracy: 0.9242, prior_entropy: 0.9912, recall: 0.9242, relative_absolute_error: 0.4288, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.5231, scimark_benchmark: 1727.3301, usercpu_time_millis: 2.611, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 2.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1273.8409, mean_absolute_error: 0.0425, 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: 0.086, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0997, root_relative_squared_error: 0.2007, scimark_benchmark: 1867.1999, usercpu_time_millis: 2.537, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 2.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9167, kappa: 0.831, kb_relative_information_score: 1007.0791, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9172, predictive_accuracy: 0.9169, prior_entropy: 0.9912, recall: 0.9169, relative_absolute_error: 0.2876, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2561, root_relative_squared_error: 0.5155, scimark_benchmark: 1850.0393, usercpu_time_millis: 4.663, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 4.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: 0.032, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1851.0585, usercpu_time_millis: 1.829, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 1.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3966, kb_relative_information_score: -0.118, 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: 1854.2319, usercpu_time_millis: 0.337, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: -0.0019, 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: 1720.5045, usercpu_time_millis: 1.023, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3966, kb_relative_information_score: -0.0568, 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: 1866.1679, usercpu_time_millis: 1.822, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 1.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.0295, 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: 1860.4615, usercpu_time_millis: 1.904, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 1.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.93, kappa: 0.8581, kb_relative_information_score: 1136.3993, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.93, predictive_accuracy: 0.93, prior_entropy: 0.9912, recall: 0.93, relative_absolute_error: 0.1805, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.4377, scimark_benchmark: 1868.6447, usercpu_time_millis: 1.054, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.8691, kappa: 0.7356, kb_relative_information_score: 792.3977, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8702, predictive_accuracy: 0.8688, prior_entropy: 0.9912, recall: 0.8688, relative_absolute_error: 0.4641, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6057, scimark_benchmark: 1849.0602, usercpu_time_millis: 1.553, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 1.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9138, kappa: 0.8251, kb_relative_information_score: 1001.8044, mean_absolute_error: 0.1443, 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: 0.2921, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.258, root_relative_squared_error: 0.5191, scimark_benchmark: 1843.7797, usercpu_time_millis: 0.474, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8582, kappa: 0.714, kb_relative_information_score: 772.6852, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8599, predictive_accuracy: 0.8579, prior_entropy: 0.9912, recall: 0.8579, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6197, scimark_benchmark: 1854.2319, usercpu_time_millis: 1.794, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 1.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.9116, kappa: 0.8207, kb_relative_information_score: 983.1915, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9119, predictive_accuracy: 0.9118, prior_entropy: 0.9912, recall: 0.9118, relative_absolute_error: 0.309, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2682, root_relative_squared_error: 0.5397, scimark_benchmark: 1849.1316, usercpu_time_millis: 3.561, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 3.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1254.3867, mean_absolute_error: 0.0498, 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: 0.1009, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.2339, scimark_benchmark: 1850.0393, usercpu_time_millis: 1.006, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9796, kappa: 0.9586, kb_relative_information_score: 1214.8852, mean_absolute_error: 0.0652, 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: 0.132, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.2897, scimark_benchmark: 1856.2273, usercpu_time_millis: 1.432, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 1.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1295.9644, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.0632, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1056, root_relative_squared_error: 0.2125, scimark_benchmark: 1843.8314, usercpu_time_millis: 0.844, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 0.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0181, 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: 1850.5475, usercpu_time_millis: 1.392, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3966, kb_relative_information_score: -0.2813, 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: 1853.4563, usercpu_time_millis: 0.412, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.361,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1295.1151, mean_absolute_error: 0.0321, 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: 0.0649, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.2056, scimark_benchmark: 1861.6424, usercpu_time_millis: 9.211, usercpu_time_millis_testing: 0.582, usercpu_time_millis_training: 8.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1294.0417, mean_absolute_error: 0.0335, 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: 0.0678, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.1822, scimark_benchmark: 1869.6309, usercpu_time_millis: 5.888, usercpu_time_millis_testing: 0.516, usercpu_time_millis_training: 5.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9723, kappa: 0.9438, kb_relative_information_score: 1165.598, mean_absolute_error: 0.0846, 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: 0.1713, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.3362, scimark_benchmark: 1868.7112, usercpu_time_millis: 3.652, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 3.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1281.712, mean_absolute_error: 0.0396, 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: 0.0802, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0911, root_relative_squared_error: 0.1833, scimark_benchmark: 1727.5667, usercpu_time_millis: 4.107, usercpu_time_millis_testing: 0.459, usercpu_time_millis_training: 3.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1163.6599, mean_absolute_error: 0.0902, 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: 0.1826, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.2929, scimark_benchmark: 1863.9124, usercpu_time_millis: 5.071, usercpu_time_millis_testing: 0.645, usercpu_time_millis_training: 4.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9592, kappa: 0.9173, kb_relative_information_score: 1043.254, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9592, predictive_accuracy: 0.9592, prior_entropy: 0.9912, recall: 0.9592, relative_absolute_error: 0.2745, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.4202, scimark_benchmark: 1863.9794, usercpu_time_millis: 1.452, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 1.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9737, kappa: 0.9468, kb_relative_information_score: 1152.761, mean_absolute_error: 0.0907, 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: 0.1837, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.3358, scimark_benchmark: 1869.6309, usercpu_time_millis: 3.295, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 2.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9818, kappa: 0.9631, kb_relative_information_score: 1216.5906, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9818, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.1304, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.2865, scimark_benchmark: 1863.2815, usercpu_time_millis: 5.936, usercpu_time_millis_testing: 0.555, usercpu_time_millis_training: 5.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1257.9292, mean_absolute_error: 0.0478, 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: 0.0968, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.2376, scimark_benchmark: 1871.8964, usercpu_time_millis: 0.535, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9342, kappa: 0.8664, kb_relative_information_score: 1060.6285, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9351, predictive_accuracy: 0.9344, prior_entropy: 0.9912, recall: 0.9344, relative_absolute_error: 0.2531, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.4362, scimark_benchmark: 1917.3033, usercpu_time_millis: 3.886, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 3.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9136, kappa: 0.8245, kb_relative_information_score: 954.3057, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9153, predictive_accuracy: 0.914, prior_entropy: 0.9912, recall: 0.914, relative_absolute_error: 0.337, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.26, root_relative_squared_error: 0.5232, scimark_benchmark: 1869.6309, usercpu_time_millis: 3.496, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 3.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9533, kappa: 0.9054, kb_relative_information_score: 928.1799, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9534, predictive_accuracy: 0.9534, prior_entropy: 0.9912, recall: 0.9534, relative_absolute_error: 0.3748, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.4718, scimark_benchmark: 1865.8853, usercpu_time_millis: 3.706, usercpu_time_millis_testing: 0.465, usercpu_time_millis_training: 3.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1245.3348, mean_absolute_error: 0.0537, 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: 0.1087, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.2438, scimark_benchmark: 1914.302, usercpu_time_millis: 1.878, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 1.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: 0.038, 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: 1863.3099, usercpu_time_millis: 0.585, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 0.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: -0.0734, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1867.5457, usercpu_time_millis: 0.966, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 0.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.0673, 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: 1.878, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 1.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9825, kappa: 0.9645, kb_relative_information_score: 1231.9817, mean_absolute_error: 0.0581, 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: 0.1177, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.271, scimark_benchmark: 1868.6047, usercpu_time_millis: 5.781, usercpu_time_millis_testing: 0.368, usercpu_time_millis_training: 5.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.851, kappa: 0.6996, kb_relative_information_score: 734.3534, mean_absolute_error: 0.2501, 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: 0.5064, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6938, scimark_benchmark: 1874.977, usercpu_time_millis: 1.731, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 1.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.8809, kappa: 0.7582, kb_relative_information_score: 393.3431, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8902, predictive_accuracy: 0.8827, prior_entropy: 0.9912, recall: 0.8827, relative_absolute_error: 0.7675, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.7921, scimark_benchmark: 1869.1029, usercpu_time_millis: 0.46, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9194, kappa: 0.8363, kb_relative_information_score: 970.4011, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9216, predictive_accuracy: 0.9198, prior_entropy: 0.9912, recall: 0.9198, relative_absolute_error: 0.324, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.5088, scimark_benchmark: 1896.1408, usercpu_time_millis: 1.547, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 1.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9167, kappa: 0.831, kb_relative_information_score: 1005.028, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9172, predictive_accuracy: 0.9169, prior_entropy: 0.9912, recall: 0.9169, relative_absolute_error: 0.2891, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.517, scimark_benchmark: 1869.1727, usercpu_time_millis: 5.025, usercpu_time_millis_testing: 0.354, usercpu_time_millis_training: 4.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9752, kappa: 0.9497, kb_relative_information_score: 1105.9795, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9754, predictive_accuracy: 0.9752, prior_entropy: 0.9912, recall: 0.9752, relative_absolute_error: 0.2296, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.3445, scimark_benchmark: 1871.7311, usercpu_time_millis: 3.478, usercpu_time_millis_testing: 0.45, usercpu_time_millis_training: 3.028,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1225.6325, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.1267, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.256, scimark_benchmark: 1874.3338, usercpu_time_millis: 5.691, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 5.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1244.805, mean_absolute_error: 0.0562, 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: 0.1137, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.2146, scimark_benchmark: 1869.1029, usercpu_time_millis: 3.517, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 3.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1303.4338, mean_absolute_error: 0.0289, 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: 0.0586, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.1786, scimark_benchmark: 1870.0988, usercpu_time_millis: 5.202, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 4.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.0282, 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: 1871.2001, usercpu_time_millis: 2.073, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 1.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1279.2417, mean_absolute_error: 0.0399, 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: 0.0808, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.1983, scimark_benchmark: 1865.3572, usercpu_time_millis: 4.195, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 3.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1305.2737, mean_absolute_error: 0.0273, 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: 0.0553, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.101, root_relative_squared_error: 0.2033, scimark_benchmark: 1866.5348, usercpu_time_millis: 4.479, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 4.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1287.8953, mean_absolute_error: 0.0356, 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: 0.0721, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.1969, scimark_benchmark: 1867.4545, usercpu_time_millis: 6.381, usercpu_time_millis_testing: 0.531, usercpu_time_millis_training: 5.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9164, kappa: 0.8301, kb_relative_information_score: 805.0006, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9192, predictive_accuracy: 0.9169, prior_entropy: 0.9912, recall: 0.9169, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2778, root_relative_squared_error: 0.5591, scimark_benchmark: 1870.1469, usercpu_time_millis: 4.305, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 3.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9745, kappa: 0.9483, kb_relative_information_score: 1154.5076, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9745, predictive_accuracy: 0.9745, prior_entropy: 0.9912, recall: 0.9745, relative_absolute_error: 0.183, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3315, scimark_benchmark: 1869.6309, usercpu_time_millis: 3.131, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 2.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1176.7543, mean_absolute_error: 0.0857, 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: 0.1735, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.2735, scimark_benchmark: 1872.4216, usercpu_time_millis: 2.859, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 2.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 660.5541, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5706, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6783, scimark_benchmark: 1865.4494, usercpu_time_millis: 3.019, usercpu_time_millis_testing: 0.471, usercpu_time_millis_training: 2.548,

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

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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

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