Task
Supervised Classification on tr41.wc

Supervised Classification on tr41.wc

Task 3535 Supervised Classification tr41.wc 113 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.8862, kappa: 0.8623, kb_relative_information_score: 719.5564, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.8906, predictive_accuracy: 0.8872, prior_entropy: 2.8041, recall: 0.8872, relative_absolute_error: 0.2542, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.4372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.8613, kappa: 0.8425, kb_relative_information_score: 644.2088, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.8687, predictive_accuracy: 0.8724, prior_entropy: 2.8041, recall: 0.8724, relative_absolute_error: 0.3963, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.5412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9367, kappa: 0.9239, kb_relative_information_score: 800.7091, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.9377, predictive_accuracy: 0.9374, prior_entropy: 2.8041, recall: 0.9374, relative_absolute_error: 0.0758, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3897,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9272, kappa: 0.9117, kb_relative_information_score: 782.8445, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.9282, predictive_accuracy: 0.9271, prior_entropy: 2.8041, recall: 0.9271, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.4021, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.8892, kappa: 0.8772, kb_relative_information_score: 744.698, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.896, predictive_accuracy: 0.8998, prior_entropy: 2.8041, recall: 0.8998, relative_absolute_error: 0.1934, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1175, root_relative_squared_error: 0.4091, scimark_benchmark: 851.2074, usercpu_time_millis: 247610, usercpu_time_millis_training: 247610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9272, kappa: 0.9117, kb_relative_information_score: 782.8445, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.9282, predictive_accuracy: 0.9271, prior_entropy: 2.8041, recall: 0.9271, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.4021, scimark_benchmark: 819.5729, usercpu_time_millis: 14950, usercpu_time_millis_testing: 670, usercpu_time_millis_training: 14280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9331, kappa: 0.9197, kb_relative_information_score: 790.019, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.9347, predictive_accuracy: 0.9339, prior_entropy: 2.8041, recall: 0.9339, relative_absolute_error: 0.1442, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.3418, scimark_benchmark: 939.7241, usercpu_time_millis: 2291510, usercpu_time_millis_testing: 1040300, usercpu_time_millis_training: 1251210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9356, kappa: 0.9225, kb_relative_information_score: 789.4999, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.9365, predictive_accuracy: 0.9362, prior_entropy: 2.8041, recall: 0.9362, relative_absolute_error: 0.1404, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1009, root_relative_squared_error: 0.3511, scimark_benchmark: 941.9549, usercpu_time_millis: 1166040, usercpu_time_millis_testing: 531780, usercpu_time_millis_training: 634260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4864, f_measure: 0.12, kb_relative_information_score: 0.7081, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.0766, predictive_accuracy: 0.2768, prior_entropy: 2.8041, recall: 0.2768, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2872, root_relative_squared_error: 1, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.3023, kappa: 0.2745, kb_relative_information_score: 213.3329, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.2301, predictive_accuracy: 0.4579, prior_entropy: 2.8041, recall: 0.4579, relative_absolute_error: 0.7824, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.886, scimark_benchmark: 936.1714, usercpu_time_millis: 3740, usercpu_time_millis_training: 3740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.3023, kappa: 0.2745, kb_relative_information_score: 213.3329, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.2301, predictive_accuracy: 0.4579, prior_entropy: 2.8041, recall: 0.4579, relative_absolute_error: 0.7824, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.886, scimark_benchmark: 935.6052, usercpu_time_millis: 4010, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.3023, kappa: 0.2745, kb_relative_information_score: 213.3329, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.2301, predictive_accuracy: 0.4579, prior_entropy: 2.8041, recall: 0.4579, relative_absolute_error: 0.7824, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.886, scimark_benchmark: 940.0055, usercpu_time_millis: 3790, usercpu_time_millis_training: 3790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.3023, kappa: 0.2745, kb_relative_information_score: 213.3329, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.2301, predictive_accuracy: 0.4579, prior_entropy: 2.8041, recall: 0.4579, relative_absolute_error: 0.7824, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.886, scimark_benchmark: 935.6052, usercpu_time_millis: 4030, usercpu_time_millis_training: 4030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.3023, kappa: 0.2745, kb_relative_information_score: 213.3329, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.2301, predictive_accuracy: 0.4579, prior_entropy: 2.8041, recall: 0.4579, relative_absolute_error: 0.7824, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.886, scimark_benchmark: 935.6052, usercpu_time_millis: 3990, usercpu_time_millis_training: 3990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.12, kb_relative_information_score: 113.0433, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.0766, predictive_accuracy: 0.2768, prior_entropy: 2.8041, recall: 0.2768, relative_absolute_error: 0.8757, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.3803, root_relative_squared_error: 1.3241, scimark_benchmark: 938.3115, usercpu_time_millis: 700, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9429, kappa: 0.9308, kb_relative_information_score: 779.4552, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.9459, predictive_accuracy: 0.9431, prior_entropy: 2.8041, recall: 0.9431, relative_absolute_error: 0.1647, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.3422, scimark_benchmark: 941.9549, usercpu_time_millis: 420970, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 420830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9212, kappa: 0.9058, kb_relative_information_score: 747.5692, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.9219, predictive_accuracy: 0.9226, prior_entropy: 2.8041, recall: 0.9226, relative_absolute_error: 0.2241, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.4102, scimark_benchmark: 936.7184, usercpu_time_millis: 8991790, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 8991680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.4956, kappa: 0.4735, kb_relative_information_score: 249.7737, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.4427, predictive_accuracy: 0.59, prior_entropy: 2.8041, recall: 0.59, relative_absolute_error: 0.7719, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.8259, scimark_benchmark: 931.7994, usercpu_time_millis: 3190, usercpu_time_millis_training: 3190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9272, kappa: 0.9117, kb_relative_information_score: 782.8445, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.9282, predictive_accuracy: 0.9271, prior_entropy: 2.8041, recall: 0.9271, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.4021, scimark_benchmark: 923.509, usercpu_time_millis: 16200, usercpu_time_millis_testing: 550, usercpu_time_millis_training: 15650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.8892, kappa: 0.8772, kb_relative_information_score: 744.698, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.896, predictive_accuracy: 0.8998, prior_entropy: 2.8041, recall: 0.8998, relative_absolute_error: 0.1934, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1175, root_relative_squared_error: 0.4091, scimark_benchmark: 942.6192, usercpu_time_millis: 262670, usercpu_time_millis_training: 262670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9272, kappa: 0.9117, kb_relative_information_score: 782.8445, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.9282, predictive_accuracy: 0.9271, prior_entropy: 2.8041, recall: 0.9271, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.4021, scimark_benchmark: 901.8743, usercpu_time_millis: 17070, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 16570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.6924, kappa: 0.6247, kb_relative_information_score: 549.8086, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.6955, predictive_accuracy: 0.6902, prior_entropy: 2.8041, recall: 0.6902, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.8268, scimark_benchmark: 1366.7181, usercpu_time_millis: 13298100, usercpu_time_millis_testing: 370260, usercpu_time_millis_training: 12927840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9543, kappa: 0.9461, kb_relative_information_score: 820.9126, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.9545, predictive_accuracy: 0.9556, prior_entropy: 2.8041, recall: 0.9556, relative_absolute_error: 0.0585, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.3033, scimark_benchmark: 1340.5125, usercpu_time_millis: 975490, usercpu_time_millis_testing: 2080, usercpu_time_millis_training: 973410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.8892, kappa: 0.8772, kb_relative_information_score: 744.698, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.896, predictive_accuracy: 0.8998, prior_entropy: 2.8041, recall: 0.8998, relative_absolute_error: 0.1934, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1175, root_relative_squared_error: 0.4091, scimark_benchmark: 1321.8132, usercpu_time_millis: 194610, usercpu_time_millis_training: 194610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9503, kappa: 0.9405, kb_relative_information_score: 808.4489, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.951, predictive_accuracy: 0.951, prior_entropy: 2.8041, recall: 0.951, relative_absolute_error: 0.0817, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.3332, scimark_benchmark: 1329.4762, usercpu_time_millis: 683010, usercpu_time_millis_testing: 71120, usercpu_time_millis_training: 611890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9465, kappa: 0.9403, kb_relative_information_score: 733.9508, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.9526, predictive_accuracy: 0.951, prior_entropy: 2.8041, recall: 0.951, relative_absolute_error: 0.2786, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.108, root_relative_squared_error: 0.3761, scimark_benchmark: 1347.917, usercpu_time_millis: 1295150, usercpu_time_millis_testing: 40610, usercpu_time_millis_training: 1254540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.9374, kappa: 0.9252, kb_relative_information_score: 793.8948, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.9381, predictive_accuracy: 0.9385, prior_entropy: 2.8041, recall: 0.9385, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.3703, scimark_benchmark: 1327.9952, usercpu_time_millis: 110870, usercpu_time_millis_training: 110870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.6834, kappa: 0.62, kb_relative_information_score: 545.7879, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.6831, predictive_accuracy: 0.6868, prior_entropy: 2.8041, recall: 0.6868, relative_absolute_error: 0.3792, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.8714, scimark_benchmark: 1340.1351, usercpu_time_millis: 2300, usercpu_time_millis_training: 2300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.9139, kappa: 0.8976, kb_relative_information_score: 766.0203, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.9198, predictive_accuracy: 0.9157, prior_entropy: 2.8041, recall: 0.9157, relative_absolute_error: 0.1182, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.4466, scimark_benchmark: 1123.855, usercpu_time_millis: 30470, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.8892, kappa: 0.8772, kb_relative_information_score: 744.698, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.896, predictive_accuracy: 0.8998, prior_entropy: 2.8041, recall: 0.8998, relative_absolute_error: 0.1934, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1175, root_relative_squared_error: 0.4091, scimark_benchmark: 1227.9507, usercpu_time_millis: 172870, usercpu_time_millis_training: 172870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.943, kappa: 0.9361, kb_relative_information_score: 726.7175, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.949, predictive_accuracy: 0.9476, prior_entropy: 2.8041, recall: 0.9476, relative_absolute_error: 0.2897, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.3997, scimark_benchmark: 1309.4998, usercpu_time_millis: 168060, usercpu_time_millis_testing: 5100, usercpu_time_millis_training: 162960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9454, kappa: 0.9375, kb_relative_information_score: 734.7417, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.9502, predictive_accuracy: 0.9487, prior_entropy: 2.8041, recall: 0.9487, relative_absolute_error: 0.2754, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.3807, scimark_benchmark: 1351.9369, usercpu_time_millis: 341660, usercpu_time_millis_testing: 7730, usercpu_time_millis_training: 333930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.323, kappa: 0.1895, kb_relative_information_score: 207.0146, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.7963, predictive_accuracy: 0.254, prior_entropy: 2.8041, recall: 0.254, relative_absolute_error: 0.8505, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2824, root_relative_squared_error: 0.9833, scimark_benchmark: 932.5646, usercpu_time_millis: 2400150, usercpu_time_millis_testing: 2400150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9312, kappa: 0.9224, kb_relative_information_score: 781.6411, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.9292, predictive_accuracy: 0.9362, prior_entropy: 2.8041, recall: 0.9362, relative_absolute_error: 0.159, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.342, scimark_benchmark: 854.5188, usercpu_time_millis: 2258880, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 2258790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.7557, kappa: 0.7119, kb_relative_information_score: 594.832, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.8203, predictive_accuracy: 0.7722, prior_entropy: 2.8041, recall: 0.7722, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.7431, scimark_benchmark: 1384.4422, usercpu_time_millis: 8020, usercpu_time_millis_testing: 4370, usercpu_time_millis_training: 3650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9593, kappa: 0.9514, kb_relative_information_score: 822.2614, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.9604, predictive_accuracy: 0.9601, prior_entropy: 2.8041, recall: 0.9601, relative_absolute_error: 0.0696, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.2745, scimark_benchmark: 1328.941, usercpu_time_millis: 320390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9241, kappa: 0.9089, kb_relative_information_score: 795.0408, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.9254, predictive_accuracy: 0.9248, prior_entropy: 2.8041, recall: 0.9248, relative_absolute_error: 0.0906, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.4084, scimark_benchmark: 1321.5205, usercpu_time_millis: 15890, usercpu_time_millis_testing: 10180, usercpu_time_millis_training: 5710,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.3023, kappa: 0.2745, kb_relative_information_score: 213.3329, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.2301, predictive_accuracy: 0.4579, prior_entropy: 2.8041, recall: 0.4579, relative_absolute_error: 0.7824, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.886, scimark_benchmark: 1404.1865, usercpu_time_millis: 3610, usercpu_time_millis_training: 3610,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.5577, kappa: 0.4694, kb_relative_information_score: 382.4733, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.5798, predictive_accuracy: 0.5661, prior_entropy: 2.8041, recall: 0.5661, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.8574, scimark_benchmark: 916.6405, usercpu_time_millis: 7240, usercpu_time_millis_testing: 7230, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.5755, kappa: 0.4986, kb_relative_information_score: 412.9738, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.6073, predictive_accuracy: 0.59, prior_entropy: 2.8041, recall: 0.59, relative_absolute_error: 0.6596, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2493, root_relative_squared_error: 0.8679, scimark_benchmark: 869.6028, usercpu_time_millis: 7100, usercpu_time_millis_testing: 7090, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.5918, kappa: 0.5433, kb_relative_information_score: 110.4721, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.7162, predictive_accuracy: 0.6481, prior_entropy: 2.8041, recall: 0.6481, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.9737, scimark_benchmark: 1325.2092, usercpu_time_millis: 19060, usercpu_time_millis_testing: 16200, usercpu_time_millis_training: 2860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.8719, kappa: 0.8462, kb_relative_information_score: 159.6562, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.8802, predictive_accuracy: 0.8747, prior_entropy: 2.8041, recall: 0.8747, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.9549, scimark_benchmark: 1301.9956, usercpu_time_millis: 3540, usercpu_time_millis_testing: 1250, usercpu_time_millis_training: 2290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9543, kappa: 0.9461, kb_relative_information_score: 820.9126, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.9545, predictive_accuracy: 0.9556, prior_entropy: 2.8041, recall: 0.9556, relative_absolute_error: 0.0585, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.3033, scimark_benchmark: 915.6729, usercpu_time_millis: 441420, usercpu_time_millis_testing: 3180, usercpu_time_millis_training: 438240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9659, kappa: 0.9599, kb_relative_information_score: 832.4599, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.9673, predictive_accuracy: 0.967, prior_entropy: 2.8041, recall: 0.967, relative_absolute_error: 0.04, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.0813, root_relative_squared_error: 0.283, scimark_benchmark: 1331.6907, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.8517, kappa: 0.8402, kb_relative_information_score: 533.5016, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.8764, predictive_accuracy: 0.8713, prior_entropy: 2.8041, recall: 0.8713, relative_absolute_error: 0.5813, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.6388, scimark_benchmark: 1315.0767, usercpu_time_millis: 13570, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 13170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7238, f_measure: 0.5378, kappa: 0.4403, kb_relative_information_score: 392.8272, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.5383, predictive_accuracy: 0.5387, prior_entropy: 2.8041, recall: 0.5387, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.3037, root_relative_squared_error: 1.0574, scimark_benchmark: 1333.5799, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9248, kappa: 0.9112, kb_relative_information_score: 768.1767, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.9287, predictive_accuracy: 0.9271, prior_entropy: 2.8041, recall: 0.9271, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.398, scimark_benchmark: 1066.7184, usercpu_time_millis: 15660, usercpu_time_millis_training: 15660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.941, kappa: 0.9293, kb_relative_information_score: 789.3756, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.9416, predictive_accuracy: 0.9419, prior_entropy: 2.8041, recall: 0.9419, relative_absolute_error: 0.1131, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1024, root_relative_squared_error: 0.3565, scimark_benchmark: 1321.9426, usercpu_time_millis: 119530, usercpu_time_millis_training: 119530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.8558, kappa: 0.829, kb_relative_information_score: 727.6366, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.8684, predictive_accuracy: 0.8599, prior_entropy: 2.8041, recall: 0.8599, relative_absolute_error: 0.1696, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.5827, scimark_benchmark: 1313.9994, usercpu_time_millis: 328450, usercpu_time_millis_testing: 175160, usercpu_time_millis_training: 153290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5035, f_measure: 0.0152, kappa: 0.006, kb_relative_information_score: -35.3463, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.5567, predictive_accuracy: 0.0364, prior_entropy: 2.8041, recall: 0.0364, relative_absolute_error: 1.1667, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.439, root_relative_squared_error: 1.5283, scimark_benchmark: 1339.4189, usercpu_time_millis: 63050, usercpu_time_millis_testing: 11560, usercpu_time_millis_training: 51490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9187, kappa: 0.902, kb_relative_information_score: 776.6253, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.9189, predictive_accuracy: 0.9191, prior_entropy: 2.8041, recall: 0.9191, relative_absolute_error: 0.1091, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.126, root_relative_squared_error: 0.4385, scimark_benchmark: 1465.2979, usercpu_time_millis: 40910, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6309, f_measure: 0.3333, kappa: 0.2766, kb_relative_information_score: 270.6244, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.2893, predictive_accuracy: 0.4658, prior_entropy: 2.8041, recall: 0.4658, relative_absolute_error: 0.6468, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.3269, root_relative_squared_error: 1.1379, scimark_benchmark: 1351.788, usercpu_time_millis: 1860, usercpu_time_millis_training: 1860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.9066, kappa: 0.8892, kb_relative_information_score: 767.4428, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.9107, predictive_accuracy: 0.9089, prior_entropy: 2.8041, recall: 0.9089, relative_absolute_error: 0.1103, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.135, root_relative_squared_error: 0.47, scimark_benchmark: 1354.3488, usercpu_time_millis: 907150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 907140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4864, f_measure: 0.12, kb_relative_information_score: 0.7081, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.0766, predictive_accuracy: 0.2768, prior_entropy: 2.8041, recall: 0.2768, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2872, root_relative_squared_error: 1, scimark_benchmark: 1358.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.9135, kappa: 0.895, kb_relative_information_score: 770.1321, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.9151, predictive_accuracy: 0.9134, prior_entropy: 2.8041, recall: 0.9134, relative_absolute_error: 0.1218, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.129, root_relative_squared_error: 0.4489, scimark_benchmark: 1466.6185, usercpu_time_millis: 27090, usercpu_time_millis_training: 27090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.8686, kappa: 0.8397, kb_relative_information_score: 742.8779, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.8794, predictive_accuracy: 0.8679, prior_entropy: 2.8041, recall: 0.8679, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.5404, scimark_benchmark: 941.7954, usercpu_time_millis: 642120, usercpu_time_millis_testing: 226660, usercpu_time_millis_training: 415460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.8697, kappa: 0.84, kb_relative_information_score: 746.8785, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.8835, predictive_accuracy: 0.8679, prior_entropy: 2.8041, recall: 0.8679, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.5285, scimark_benchmark: 908.0036, usercpu_time_millis: 311310, usercpu_time_millis_testing: 91300, usercpu_time_millis_training: 220010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.8746, kappa: 0.8442, kb_relative_information_score: 747.1951, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.889, predictive_accuracy: 0.8713, prior_entropy: 2.8041, recall: 0.8713, relative_absolute_error: 0.161, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.5206, scimark_benchmark: 945.7621, usercpu_time_millis: 308410, usercpu_time_millis_testing: 90520, usercpu_time_millis_training: 217890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.8746, kappa: 0.8442, kb_relative_information_score: 747.1951, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.889, predictive_accuracy: 0.8713, prior_entropy: 2.8041, recall: 0.8713, relative_absolute_error: 0.161, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.5206, scimark_benchmark: 926.6717, usercpu_time_millis: 344610, usercpu_time_millis_testing: 102900, usercpu_time_millis_training: 241710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.8746, kappa: 0.8442, kb_relative_information_score: 747.1951, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.889, predictive_accuracy: 0.8713, prior_entropy: 2.8041, recall: 0.8713, relative_absolute_error: 0.161, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.5206, scimark_benchmark: 894.7455, usercpu_time_millis: 311570, usercpu_time_millis_testing: 89610, usercpu_time_millis_training: 221960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.3023, kappa: 0.2745, kb_relative_information_score: 213.3329, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.2301, predictive_accuracy: 0.4579, prior_entropy: 2.8041, recall: 0.4579, relative_absolute_error: 0.7824, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.886, scimark_benchmark: 894.7455, usercpu_time_millis: 4030, usercpu_time_millis_training: 4030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.3023, kappa: 0.2745, kb_relative_information_score: 213.3329, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.2301, predictive_accuracy: 0.4579, prior_entropy: 2.8041, recall: 0.4579, relative_absolute_error: 0.7824, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.886, scimark_benchmark: 936.6206, usercpu_time_millis: 3380, usercpu_time_millis_training: 3380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.924, kappa: 0.9101, kb_relative_information_score: 784.5717, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.9276, predictive_accuracy: 0.926, prior_entropy: 2.8041, recall: 0.926, relative_absolute_error: 0.0918, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.4202, scimark_benchmark: 942.6953, usercpu_time_millis: 10244580, usercpu_time_millis_training: 10244580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.3023, kappa: 0.2745, kb_relative_information_score: 213.3329, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.2301, predictive_accuracy: 0.4579, prior_entropy: 2.8041, recall: 0.4579, relative_absolute_error: 0.7824, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.886, scimark_benchmark: 911.3823, usercpu_time_millis: 4070, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.3023, kappa: 0.2745, kb_relative_information_score: 213.3329, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1652, number_of_instances: 878, precision: 0.2301, predictive_accuracy: 0.4579, prior_entropy: 2.8041, recall: 0.4579, relative_absolute_error: 0.7824, root_mean_prior_squared_error: 0.2872, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.886, scimark_benchmark: 922.9039, usercpu_time_millis: 3280, usercpu_time_millis_training: 3280,

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