OpenML
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 145834 Supervised Classification banknote-authentication 43620 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3966, kb_relative_information_score: 0.0254, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1790.824, usercpu_time_millis: 1.228, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 1.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9172, kappa: 0.832, kb_relative_information_score: 955.5983, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9189, predictive_accuracy: 0.9176, prior_entropy: 0.9912, recall: 0.9176, relative_absolute_error: 0.3368, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.5123, scimark_benchmark: 1745.6592, usercpu_time_millis: 2.586, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 2.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1290.5346, mean_absolute_error: 0.0348, 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: 0.0706, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.1897, scimark_benchmark: 1747.5976, usercpu_time_millis: 6.406, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 5.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1215.6174, mean_absolute_error: 0.0696, 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: 0.141, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.2323, scimark_benchmark: 1731.3286, usercpu_time_millis: 5.512, usercpu_time_millis_testing: 0.617, usercpu_time_millis_training: 4.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1163.8799, mean_absolute_error: 0.0914, 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: 0.1851, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.14, root_relative_squared_error: 0.2818, scimark_benchmark: 1752.736, usercpu_time_millis: 0.602, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9738, kappa: 0.9469, kb_relative_information_score: 1289.9708, mean_absolute_error: 0.0299, 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: 0.0606, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.3031, scimark_benchmark: 1742.0378, usercpu_time_millis: 0.057, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, 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: 1747.5976, usercpu_time_millis: 1.85, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 1.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1312.8652, mean_absolute_error: 0.0256, 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: 0.0518, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.1545, scimark_benchmark: 1721.3926, usercpu_time_millis: 1.389, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 1.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1310.1226, mean_absolute_error: 0.0264, 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: 0.0535, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.084, root_relative_squared_error: 0.169, scimark_benchmark: 1766.2639, usercpu_time_millis: 2.008, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 1.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9636, kappa: 0.9263, kb_relative_information_score: 1112.5196, mean_absolute_error: 0.1064, 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: 0.2155, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.3777, scimark_benchmark: 1738.4699, usercpu_time_millis: 1.025, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.1508, 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: 1748.9791, usercpu_time_millis: 1.545, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 1.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1244.2414, mean_absolute_error: 0.0544, 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: 0.1102, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1199, root_relative_squared_error: 0.2414, scimark_benchmark: 1736.547, usercpu_time_millis: 1.138, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 1.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9607, kappa: 0.9204, kb_relative_information_score: 1108.8529, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9607, predictive_accuracy: 0.9606, prior_entropy: 0.9912, recall: 0.9606, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.3818, scimark_benchmark: 1742.555, usercpu_time_millis: 3.671, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 3.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9796, kappa: 0.9587, kb_relative_information_score: 1094.436, mean_absolute_error: 0.1201, 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: 0.2431, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.3397, scimark_benchmark: 1782.2059, usercpu_time_millis: 5.097, usercpu_time_millis_testing: 0.589, usercpu_time_millis_training: 4.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9329, kappa: 0.864, kb_relative_information_score: 1080.4434, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9329, predictive_accuracy: 0.9329, prior_entropy: 0.9912, recall: 0.9329, relative_absolute_error: 0.2332, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.217, root_relative_squared_error: 0.4367, scimark_benchmark: 1737.5952, usercpu_time_millis: 8.85, usercpu_time_millis_testing: 0.681, usercpu_time_millis_training: 8.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1318.1443, mean_absolute_error: 0.0221, 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: 0.0446, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.1805, scimark_benchmark: 1734.6173, usercpu_time_millis: 8.742, usercpu_time_millis_testing: 0.425, usercpu_time_millis_training: 8.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1283.8926, mean_absolute_error: 0.0369, 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: 0.0747, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.107, root_relative_squared_error: 0.2153, scimark_benchmark: 1762.2909, usercpu_time_millis: 7.558, usercpu_time_millis_testing: 0.529, usercpu_time_millis_training: 7.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1320.5688, mean_absolute_error: 0.0217, 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: 0.044, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.1584, scimark_benchmark: 1748.1242, usercpu_time_millis: 10.469, usercpu_time_millis_testing: 0.776, usercpu_time_millis_training: 9.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9423, kappa: 0.883, kb_relative_information_score: 1029.3743, mean_absolute_error: 0.1381, 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: 0.2796, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.4574, scimark_benchmark: 1752.8523, usercpu_time_millis: 1.733, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 1.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9709, kappa: 0.9411, kb_relative_information_score: 1102.9083, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9711, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.2283, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.3647, scimark_benchmark: 1753.0784, usercpu_time_millis: 2.507, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 2.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9134, kappa: 0.8242, kb_relative_information_score: 964.9534, mean_absolute_error: 0.1621, 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: 0.3282, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.255, root_relative_squared_error: 0.5131, scimark_benchmark: 1752.1591, usercpu_time_millis: 1.492, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 1.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1274.5374, mean_absolute_error: 0.0426, 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: 0.0862, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.1941, scimark_benchmark: 1868.9605, usercpu_time_millis: 5.106, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 4.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1320.5773, mean_absolute_error: 0.021, 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: 0.0426, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.1775, scimark_benchmark: 1751.3544, usercpu_time_millis: 5.044, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 4.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1290.8556, mean_absolute_error: 0.0348, 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: 0.0704, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0942, root_relative_squared_error: 0.1895, scimark_benchmark: 1747.1969, usercpu_time_millis: 6.37, usercpu_time_millis_testing: 0.438, usercpu_time_millis_training: 5.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9738, kappa: 0.947, kb_relative_information_score: 1088.8239, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.974, predictive_accuracy: 0.9738, prior_entropy: 0.9912, recall: 0.9738, relative_absolute_error: 0.247, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.3475, scimark_benchmark: 1744.3284, usercpu_time_millis: 5.755, usercpu_time_millis_testing: 0.602, usercpu_time_millis_training: 5.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9832, kappa: 0.9661, kb_relative_information_score: 1265.4148, mean_absolute_error: 0.044, 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: 0.089, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.2439, scimark_benchmark: 1751.6968, usercpu_time_millis: 8.439, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 8.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1199.8147, mean_absolute_error: 0.0758, 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: 0.1535, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.126, root_relative_squared_error: 0.2536, scimark_benchmark: 1749.3291, usercpu_time_millis: 7.191, usercpu_time_millis_testing: 0.589, usercpu_time_millis_training: 6.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1301.4544, mean_absolute_error: 0.0312, 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: 0.0631, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0778, root_relative_squared_error: 0.1566, scimark_benchmark: 1743.4678, usercpu_time_millis: 8.497, usercpu_time_millis_testing: 0.723, usercpu_time_millis_training: 7.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 659.5091, mean_absolute_error: 0.2823, 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: 0.5715, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.6778, scimark_benchmark: 1750.8922, usercpu_time_millis: 3.342, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 2.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1304.5475, mean_absolute_error: 0.029, 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: 0.0586, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.1744, scimark_benchmark: 1736.3456, usercpu_time_millis: 6.568, usercpu_time_millis_testing: 0.394, usercpu_time_millis_training: 6.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1174.6449, mean_absolute_error: 0.0867, 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: 0.1756, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.136, root_relative_squared_error: 0.2737, scimark_benchmark: 1748.0598, usercpu_time_millis: 5.787, usercpu_time_millis_testing: 0.497, usercpu_time_millis_training: 5.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9541, kappa: 0.907, kb_relative_information_score: 1148.2955, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 0.9912, recall: 0.9541, relative_absolute_error: 0.1779, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.3814, scimark_benchmark: 1747.0307, usercpu_time_millis: 0.061, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1165.1862, mean_absolute_error: 0.0901, 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: 0.1825, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.288, scimark_benchmark: 1751.4184, usercpu_time_millis: 0.831, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 0.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9327, kappa: 0.8634, kb_relative_information_score: 1025.9169, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9338, predictive_accuracy: 0.9329, prior_entropy: 0.9912, recall: 0.9329, relative_absolute_error: 0.2813, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.4647, scimark_benchmark: 1751.2961, usercpu_time_millis: 2.167, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 2.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1237.145, mean_absolute_error: 0.06, 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: 0.1214, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.2157, scimark_benchmark: 1745.8253, usercpu_time_millis: 1.037, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 0.923,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1324.0237, mean_absolute_error: 0.0181, 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: 0.0367, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.2419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9308, kappa: 0.8599, kb_relative_information_score: 1151.9272, mean_absolute_error: 0.0808, 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: 0.1637, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.4411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: -0.0113, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9672, kappa: 0.9336, kb_relative_information_score: 944.7249, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9672, predictive_accuracy: 0.9672, prior_entropy: 0.9912, recall: 0.9672, relative_absolute_error: 0.3637, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.4559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9804, kappa: 0.9603, kb_relative_information_score: 1316.9983, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9812, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.2823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 1360.3734, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9912, recall: 0.9993, relative_absolute_error: 0.0103, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0331, root_relative_squared_error: 0.0666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9964, kappa: 0.9926, kb_relative_information_score: 1360.8155, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9912, recall: 0.9964, relative_absolute_error: 0.0081, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0585, root_relative_squared_error: 0.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1366.8281, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0039, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0397, root_relative_squared_error: 0.0798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9949, kappa: 0.9897, kb_relative_information_score: 1360.7036, mean_absolute_error: 0.0041, 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: 0.0083, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0484, root_relative_squared_error: 0.0975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1316.3323, mean_absolute_error: 0.0214, 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: 0.0433, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.2298, scimark_benchmark: 1871.2001, usercpu_time_millis: 10.112, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 9.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9307, kappa: 0.8597, kb_relative_information_score: 1081.2004, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9307, predictive_accuracy: 0.9308, prior_entropy: 0.9912, recall: 0.9308, relative_absolute_error: 0.232, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.4423, scimark_benchmark: 1868.2531, usercpu_time_millis: 9.04, usercpu_time_millis_testing: 0.495, usercpu_time_millis_training: 8.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1310.7556, mean_absolute_error: 0.0254, 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: 0.0515, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.1853, scimark_benchmark: 1870.6721, usercpu_time_millis: 7.022, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 6.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1320.0496, mean_absolute_error: 0.022, 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: 0.0445, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0789, root_relative_squared_error: 0.1589, scimark_benchmark: 1756.5258, usercpu_time_millis: 8.86, usercpu_time_millis_testing: 0.55, usercpu_time_millis_training: 8.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0574, 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: 1775.2463, usercpu_time_millis: 0.958, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 0.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.078, 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: 1869.8223, usercpu_time_millis: 0.325, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1265.0307, mean_absolute_error: 0.0468, 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: 0.0947, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1013, root_relative_squared_error: 0.2038, scimark_benchmark: 1867.0657, usercpu_time_millis: 2.285, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 2.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0672, 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: 1874.977, usercpu_time_millis: 0.593, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1302.3003, mean_absolute_error: 0.0297, 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: 0.0602, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.1822, scimark_benchmark: 1863.4095, usercpu_time_millis: 1.025, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1243.718, mean_absolute_error: 0.055, 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: 0.1114, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.2388, scimark_benchmark: 1866.0766, usercpu_time_millis: 3.254, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 3.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9694, kappa: 0.9382, kb_relative_information_score: 1105.0201, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9697, predictive_accuracy: 0.9694, prior_entropy: 0.9912, recall: 0.9694, relative_absolute_error: 0.2265, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.3648, scimark_benchmark: 1823.9526, usercpu_time_millis: 2.958, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 2.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.8582, kappa: 0.7139, kb_relative_information_score: 654.9577, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8598, predictive_accuracy: 0.8579, prior_entropy: 0.9912, recall: 0.8579, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6737, scimark_benchmark: 1859.1356, usercpu_time_millis: 1.698, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 1.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9658, kappa: 0.9307, kb_relative_information_score: 1173.2843, mean_absolute_error: 0.0808, 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: 0.1636, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.3344, scimark_benchmark: 1757.5269, usercpu_time_millis: 1.477, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 1.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1245.643, mean_absolute_error: 0.0548, 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: 0.111, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.2259, scimark_benchmark: 1874.4489, usercpu_time_millis: 3.765, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 3.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9371, kappa: 0.8724, kb_relative_information_score: 867.6569, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.938, predictive_accuracy: 0.9373, prior_entropy: 0.9912, recall: 0.9373, relative_absolute_error: 0.422, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.5133, scimark_benchmark: 1865.1484, usercpu_time_millis: 3.533, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 3.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1269.1828, mean_absolute_error: 0.046, 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: 0.0932, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.1822, scimark_benchmark: 1870.2804, usercpu_time_millis: 7.592, usercpu_time_millis_testing: 0.655, usercpu_time_millis_training: 6.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9796, kappa: 0.9587, kb_relative_information_score: 1096.4192, mean_absolute_error: 0.1192, 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: 0.2414, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3385, scimark_benchmark: 1835.0975, usercpu_time_millis: 4.264, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 3.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9738, kappa: 0.9469, kb_relative_information_score: 1202.4841, mean_absolute_error: 0.0701, 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: 0.1419, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.305, scimark_benchmark: 1862.932, usercpu_time_millis: 7.336, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 6.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1200.1266, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9892, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.1542, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.248, scimark_benchmark: 1745.0258, usercpu_time_millis: 5.689, usercpu_time_millis_testing: 0.652, usercpu_time_millis_training: 5.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9709, kappa: 0.9411, kb_relative_information_score: 1050.0623, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9713, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.2785, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3791, scimark_benchmark: 1740.6383, usercpu_time_millis: 6.623, usercpu_time_millis_testing: 0.717, usercpu_time_millis_training: 5.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1283.9984, mean_absolute_error: 0.038, 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: 0.0769, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.1944, scimark_benchmark: 1750.4915, usercpu_time_millis: 2.702, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 2.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1266.3901, mean_absolute_error: 0.044, 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: 0.089, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.2357, scimark_benchmark: 1740.5574, usercpu_time_millis: 5.144, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 4.787,

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