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: 0.9989, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1273.3272, mean_absolute_error: 0.0411, 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: 0.0832, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.2277, scimark_benchmark: 1853.454, usercpu_time_millis: 1.633, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 1.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.8524, kappa: 0.7026, kb_relative_information_score: 732.2624, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8546, predictive_accuracy: 0.852, prior_entropy: 0.9912, recall: 0.852, relative_absolute_error: 0.509, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.7005, scimark_benchmark: 1840.7617, usercpu_time_millis: 1.954, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 1.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.1425, 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: 1843.1261, usercpu_time_millis: 0.646, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 0.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3966, kb_relative_information_score: 0.0727, 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: 1850.2875, usercpu_time_millis: 0.862, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 0.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.8945, kappa: 0.7858, kb_relative_information_score: 628.7993, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9013, predictive_accuracy: 0.8958, prior_entropy: 0.9912, recall: 0.8958, relative_absolute_error: 0.6018, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.6616, scimark_benchmark: 1855.0232, usercpu_time_millis: 0.858, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 0.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.8812, kappa: 0.7594, kb_relative_information_score: 680.9132, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8812, predictive_accuracy: 0.8812, prior_entropy: 0.9912, recall: 0.8812, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6378, scimark_benchmark: 1846.2342, usercpu_time_millis: 0.58, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1326.6773, mean_absolute_error: 0.0177, 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: 0.0359, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0961, root_relative_squared_error: 0.1933, scimark_benchmark: 1843.7454, usercpu_time_millis: 5.048, usercpu_time_millis_testing: 0.233, usercpu_time_millis_training: 4.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9167, kappa: 0.831, kb_relative_information_score: 1020.6738, mean_absolute_error: 0.1371, 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: 0.2776, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.5014, scimark_benchmark: 1834.6199, usercpu_time_millis: 2.965, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 2.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1291.1595, mean_absolute_error: 0.0348, 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: 0.0705, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.093, root_relative_squared_error: 0.1872, scimark_benchmark: 1853.9121, usercpu_time_millis: 0.133, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9752, kappa: 0.9498, kb_relative_information_score: 1196.1752, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9752, predictive_accuracy: 0.9752, prior_entropy: 0.9912, recall: 0.9752, relative_absolute_error: 0.1468, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.3066, scimark_benchmark: 1840.0008, usercpu_time_millis: 0.085, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1297.5368, mean_absolute_error: 0.0318, 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: 0.0645, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.1824, scimark_benchmark: 1836.6789, usercpu_time_millis: 2.79, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 2.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: -0.1497, 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: 1841.1596, usercpu_time_millis: 0.973, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 0.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9171, kappa: 0.8316, kb_relative_information_score: 752.8943, mean_absolute_error: 0.2518, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.92, predictive_accuracy: 0.9176, prior_entropy: 0.9912, recall: 0.9176, relative_absolute_error: 0.5098, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.5863, scimark_benchmark: 1844.082, usercpu_time_millis: 3.709, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 3.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.8604, kappa: 0.7183, kb_relative_information_score: 774.3603, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8619, predictive_accuracy: 0.8601, prior_entropy: 0.9912, recall: 0.8601, relative_absolute_error: 0.4786, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.307, root_relative_squared_error: 0.6178, scimark_benchmark: 1839.272, usercpu_time_millis: 2.25, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 1.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9832, kappa: 0.9661, kb_relative_information_score: 1291.5183, mean_absolute_error: 0.0316, 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: 0.0639, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.2507, scimark_benchmark: 1843.2356, usercpu_time_millis: 0.244, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 1238.3393, mean_absolute_error: 0.0578, 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: 0.117, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1172, root_relative_squared_error: 0.2358, scimark_benchmark: 1824.2249, usercpu_time_millis: 0.937, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1257.4909, mean_absolute_error: 0.0501, 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: 0.1013, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1051, root_relative_squared_error: 0.2115, scimark_benchmark: 1988.8434, usercpu_time_millis: 6.807, usercpu_time_millis_testing: 0.479, usercpu_time_millis_training: 6.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1312.7457, mean_absolute_error: 0.0246, 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: 0.0498, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.1824, scimark_benchmark: 1836.152, usercpu_time_millis: 5.319, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 5.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.984, kappa: 0.9676, kb_relative_information_score: 1215.0721, mean_absolute_error: 0.0676, 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: 0.1369, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.128, root_relative_squared_error: 0.2577, scimark_benchmark: 1832.5979, usercpu_time_millis: 4.333, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 3.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: -0.1158, 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: 1855.0232, usercpu_time_millis: 0.691, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 0.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: -0.0344, 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: 1835.093, usercpu_time_millis: 0.837, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 0.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1310.3598, mean_absolute_error: 0.0256, 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: 0.0518, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0925, root_relative_squared_error: 0.1862, scimark_benchmark: 1859.6666, usercpu_time_millis: 9.185, usercpu_time_millis_testing: 0.464, usercpu_time_millis_training: 8.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1269.2154, 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: 0.0902, root_relative_squared_error: 0.1816, scimark_benchmark: 1856.5802, usercpu_time_millis: 5.297, usercpu_time_millis_testing: 0.564, usercpu_time_millis_training: 4.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1308.3486, mean_absolute_error: 0.0274, 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: 0.0554, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.1676, scimark_benchmark: 1853.3841, usercpu_time_millis: 6.987, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 6.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1236.9527, mean_absolute_error: 0.0603, 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: 0.122, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1058, root_relative_squared_error: 0.2129, scimark_benchmark: 1840.2451, usercpu_time_millis: 6.77, usercpu_time_millis_testing: 0.756, usercpu_time_millis_training: 6.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9774, kappa: 0.9543, kb_relative_information_score: 1163.9873, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9775, predictive_accuracy: 0.9774, prior_entropy: 0.9912, recall: 0.9774, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.3062, scimark_benchmark: 1850.8185, usercpu_time_millis: 2.984, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 2.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1197.7611, mean_absolute_error: 0.0771, 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: 0.1561, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.2507, scimark_benchmark: 1856.125, usercpu_time_millis: 3.271, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 2.935,
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: 0.9932, f_measure: 0.9651, kappa: 0.9293, kb_relative_information_score: 980.091, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9653, predictive_accuracy: 0.965, prior_entropy: 0.9912, recall: 0.965, relative_absolute_error: 0.3341, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.4351, scimark_benchmark: 1834.2992, usercpu_time_millis: 0.596, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1242.3434, mean_absolute_error: 0.0578, 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: 0.117, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.2094, scimark_benchmark: 1853.3841, usercpu_time_millis: 1.59, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 1.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9357, kappa: 0.8694, kb_relative_information_score: 893.5522, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9365, predictive_accuracy: 0.9359, prior_entropy: 0.9912, recall: 0.9359, relative_absolute_error: 0.4006, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.5003, scimark_benchmark: 1850.2875, usercpu_time_millis: 0.547, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9803, kappa: 0.9602, kb_relative_information_score: 1112.8822, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9805, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.2277, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.3252, scimark_benchmark: 1850.9136, usercpu_time_millis: 2.489, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 2.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1300.4129, mean_absolute_error: 0.0311, 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: 0.063, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.168, scimark_benchmark: 1856.5132, usercpu_time_millis: 2.509, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 2.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1248.7624, mean_absolute_error: 0.0535, 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: 0.1083, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.2233, scimark_benchmark: 1854.4951, usercpu_time_millis: 2.222, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 2.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.8546, kappa: 0.7071, kb_relative_information_score: 794.2092, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8571, predictive_accuracy: 0.8542, prior_entropy: 0.9912, recall: 0.8542, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.6391, scimark_benchmark: 1830.469, usercpu_time_millis: 0.894, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.058, 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: 1836.6789, usercpu_time_millis: 1.764, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 1.428,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1329.1615, mean_absolute_error: 0.0178, 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: 0.0361, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.1517, scimark_benchmark: 1850.1514, usercpu_time_millis: 11.258, usercpu_time_millis_testing: 0.687, usercpu_time_millis_training: 10.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9283, kappa: 0.8545, kb_relative_information_score: 1020.9617, mean_absolute_error: 0.1409, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9295, predictive_accuracy: 0.9286, prior_entropy: 0.9912, recall: 0.9286, relative_absolute_error: 0.2852, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4682, scimark_benchmark: 1855.0134, usercpu_time_millis: 3.679, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 3.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9774, kappa: 0.9543, kb_relative_information_score: 1234.0654, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9774, predictive_accuracy: 0.9774, prior_entropy: 0.9912, recall: 0.9774, relative_absolute_error: 0.1151, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1353, root_relative_squared_error: 0.2723, scimark_benchmark: 1859.4882, usercpu_time_millis: 3.882, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 3.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1264.068, mean_absolute_error: 0.0472, 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: 0.0955, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.2048, scimark_benchmark: 1858.2426, usercpu_time_millis: 2.117, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 1.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9116, kappa: 0.8207, kb_relative_information_score: 1015.1029, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.912, predictive_accuracy: 0.9118, prior_entropy: 0.9912, recall: 0.9118, relative_absolute_error: 0.2789, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.264, root_relative_squared_error: 0.5312, scimark_benchmark: 1844.182, usercpu_time_millis: 9.02, usercpu_time_millis_testing: 0.492, usercpu_time_millis_training: 8.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1296.115, mean_absolute_error: 0.0317, 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: 0.0641, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0997, root_relative_squared_error: 0.2007, scimark_benchmark: 1868.7112, usercpu_time_millis: 7.954, usercpu_time_millis_testing: 0.494, usercpu_time_millis_training: 7.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1295.4716, mean_absolute_error: 0.0333, 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: 0.0675, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.1726, scimark_benchmark: 1869.1029, usercpu_time_millis: 5.209, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 4.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1265.0575, mean_absolute_error: 0.0467, 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: 0.0945, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1021, root_relative_squared_error: 0.2055, scimark_benchmark: 1873.4078, usercpu_time_millis: 4.511, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 4.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1200.78, mean_absolute_error: 0.0759, 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: 0.1537, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.2465, scimark_benchmark: 1871.7311, usercpu_time_millis: 4.687, usercpu_time_millis_testing: 0.525, usercpu_time_millis_training: 4.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1329.2301, mean_absolute_error: 0.0178, 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: 0.0361, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.152, scimark_benchmark: 1863.4543, usercpu_time_millis: 10.854, usercpu_time_millis_testing: 0.625, usercpu_time_millis_training: 10.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1309.9325, mean_absolute_error: 0.0268, 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: 0.0542, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0792, root_relative_squared_error: 0.1595, scimark_benchmark: 1866.8113, usercpu_time_millis: 1.435, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 1.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: -0.0558, 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: 1870.1619, usercpu_time_millis: 1.254, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 1.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1317.4445, mean_absolute_error: 0.0224, 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: 0.0453, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.1821, scimark_benchmark: 1860.7493, usercpu_time_millis: 8.382, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 7.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9306, kappa: 0.8593, kb_relative_information_score: 1048.9367, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9309, predictive_accuracy: 0.9308, prior_entropy: 0.9912, recall: 0.9308, relative_absolute_error: 0.2588, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.4597, scimark_benchmark: 1871.2001, usercpu_time_millis: 1.315, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 1.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9796, kappa: 0.9587, kb_relative_information_score: 1192.417, mean_absolute_error: 0.0759, 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: 0.1536, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.2913, scimark_benchmark: 1869.1727, usercpu_time_millis: 1.277, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 1.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1323.5865, mean_absolute_error: 0.0206, 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: 0.0418, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.1471, scimark_benchmark: 1863.3902, usercpu_time_millis: 6.054, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 5.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1322.3884, mean_absolute_error: 0.021, 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: 0.0425, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.1552, scimark_benchmark: 1863.9794, usercpu_time_millis: 6.379, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 6.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9694, kappa: 0.938, kb_relative_information_score: 1141.5325, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9694, predictive_accuracy: 0.9694, prior_entropy: 0.9912, recall: 0.9694, relative_absolute_error: 0.1928, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.3472, scimark_benchmark: 1864.8321, usercpu_time_millis: 7.153, usercpu_time_millis_testing: 0.573, usercpu_time_millis_training: 6.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1273.8432, mean_absolute_error: 0.0438, 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: 0.0888, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.089, root_relative_squared_error: 0.179, scimark_benchmark: 1859.7394, usercpu_time_millis: 2.663, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 2.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1318.7927, mean_absolute_error: 0.0219, 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: 0.0443, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.1776, scimark_benchmark: 1868.1196, usercpu_time_millis: 3.924, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 3.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9781, kappa: 0.9558, kb_relative_information_score: 1244.9855, mean_absolute_error: 0.0523, 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: 0.1058, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.2692, scimark_benchmark: 1854.4979, usercpu_time_millis: 5.157, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 4.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9145, kappa: 0.8266, kb_relative_information_score: 1004.4846, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.915, predictive_accuracy: 0.9147, prior_entropy: 0.9912, recall: 0.9147, relative_absolute_error: 0.2893, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.5226, scimark_benchmark: 1868.1196, usercpu_time_millis: 0.53, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1315.1632, mean_absolute_error: 0.0234, 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: 0.0474, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.1826, scimark_benchmark: 1853.9757, usercpu_time_millis: 1.207, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 1.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0747, 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: 1854.8954, usercpu_time_millis: 0.844, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 0.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.8886, kappa: 0.7738, kb_relative_information_score: 481.7745, mean_absolute_error: 0.3494, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8955, predictive_accuracy: 0.8899, prior_entropy: 0.9912, recall: 0.8899, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.369, root_relative_squared_error: 0.7426, scimark_benchmark: 1859.102, usercpu_time_millis: 1.576, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 1.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3966, kb_relative_information_score: -0.0429, 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: 1.917, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 1.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3966, kb_relative_information_score: -0.0761, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1863.4543, usercpu_time_millis: 1.18, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 0.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1314.8537, mean_absolute_error: 0.0244, 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: 0.0494, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0801, root_relative_squared_error: 0.1612, scimark_benchmark: 1867.1999, usercpu_time_millis: 5.234, usercpu_time_millis_testing: 0.445, usercpu_time_millis_training: 4.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9526, kappa: 0.9039, kb_relative_information_score: 1072.6917, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9526, predictive_accuracy: 0.9526, prior_entropy: 0.9912, recall: 0.9526, relative_absolute_error: 0.246, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4168, scimark_benchmark: 1862.5409, usercpu_time_millis: 5.268, usercpu_time_millis_testing: 0.508, usercpu_time_millis_training: 4.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: 0.007, 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: 1866.7447, usercpu_time_millis: 1.106, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 0.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1311.2535, mean_absolute_error: 0.0252, 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: 0.0511, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.1846, scimark_benchmark: 1954.362, usercpu_time_millis: 7.627, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 7.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1257.8411, mean_absolute_error: 0.0511, 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: 0.1035, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.1922, scimark_benchmark: 1857.7844, usercpu_time_millis: 5.886, usercpu_time_millis_testing: 0.683, usercpu_time_millis_training: 5.203,

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