Task
Supervised Classification on re1.wc

Supervised Classification on re1.wc

Task 4235 Supervised Classification re1.wc 89 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, build_cpu_time: 1798.209, build_memory: 89399307.9416, f_measure: 0.797, kappa: 0.7871, kb_relative_information_score: 13160.5178, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8021, predictive_accuracy: 0.8142, prior_entropy: 3.8125, recall: 0.8142, relative_absolute_error: 0.2912, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1056, root_relative_squared_error: 0.5611, scimark_benchmark: 930.3907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.7915, kappa: 0.7929, kb_relative_information_score: 11313.7274, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8088, predictive_accuracy: 0.8212, prior_entropy: 3.8125, recall: 0.8212, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1149, root_relative_squared_error: 0.6102, scimark_benchmark: 1350.0545, usercpu_time_millis: 773430, usercpu_time_millis_testing: 12300, usercpu_time_millis_training: 761130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.7895, kappa: 0.7908, kb_relative_information_score: 11285.9323, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.807, predictive_accuracy: 0.8194, prior_entropy: 3.8125, recall: 0.8194, relative_absolute_error: 0.5098, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.6122, scimark_benchmark: 1338.9438, usercpu_time_millis: 420840, usercpu_time_millis_testing: 6070, usercpu_time_millis_training: 414770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5394, f_measure: 0.1397, kappa: 0.0708, kb_relative_information_score: 958.5428, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8098, predictive_accuracy: 0.0969, prior_entropy: 3.8125, recall: 0.0969, relative_absolute_error: 1.0177, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.2688, root_relative_squared_error: 1.4275, scimark_benchmark: 1335.5424, usercpu_time_millis: 72160, usercpu_time_millis_testing: 13510, usercpu_time_millis_training: 58650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.441, kappa: 0.3712, kb_relative_information_score: 6058.6725, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.4393, predictive_accuracy: 0.4444, prior_entropy: 3.8125, recall: 0.4444, relative_absolute_error: 0.6403, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1994, root_relative_squared_error: 1.0589, scimark_benchmark: 1365.1392, usercpu_time_millis: 3849410, usercpu_time_millis_testing: 496470, usercpu_time_millis_training: 3352940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8627, kappa: 0.8501, kb_relative_information_score: 14062.9128, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8614, predictive_accuracy: 0.868, prior_entropy: 3.8125, recall: 0.868, relative_absolute_error: 0.1722, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.4898, scimark_benchmark: 1318.8785, usercpu_time_millis: 3347750, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3347740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.6817, kappa: 0.6646, kb_relative_information_score: 8959.6578, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.7644, predictive_accuracy: 0.7174, prior_entropy: 3.8125, recall: 0.7174, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.746, scimark_benchmark: 1066.7184, usercpu_time_millis: 27510, usercpu_time_millis_testing: 890, usercpu_time_millis_training: 26620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4898, f_measure: 0.0819, kb_relative_information_score: 10.0192, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.0501, predictive_accuracy: 0.2239, prior_entropy: 3.8125, recall: 0.2239, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1883, root_relative_squared_error: 1, scimark_benchmark: 1445.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.7857, kappa: 0.7675, kb_relative_information_score: 12315.8595, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.785, predictive_accuracy: 0.7959, prior_entropy: 3.8125, recall: 0.7959, relative_absolute_error: 0.2721, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1219, root_relative_squared_error: 0.6473, scimark_benchmark: 1473.7998, usercpu_time_millis: 98110, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 98050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.2533, kappa: 0.2283, kb_relative_information_score: 2677.4165, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.1978, predictive_accuracy: 0.3959, prior_entropy: 3.8125, recall: 0.3959, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.9418, scimark_benchmark: 938.9967, usercpu_time_millis: 3190, usercpu_time_millis_training: 3190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.2533, kappa: 0.2283, kb_relative_information_score: 2677.4165, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.1978, predictive_accuracy: 0.3959, prior_entropy: 3.8125, recall: 0.3959, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.9418, scimark_benchmark: 937.1527, usercpu_time_millis: 2640, usercpu_time_millis_training: 2640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.2533, kappa: 0.2283, kb_relative_information_score: 2677.4165, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.1978, predictive_accuracy: 0.3959, prior_entropy: 3.8125, recall: 0.3959, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.9418, scimark_benchmark: 1372.2145, usercpu_time_millis: 2680, usercpu_time_millis_training: 2680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.779, kappa: 0.7563, kb_relative_information_score: 12291.2297, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.7765, predictive_accuracy: 0.7849, prior_entropy: 3.8125, recall: 0.7849, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.6726, scimark_benchmark: 1330.0803, usercpu_time_millis: 324220, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 324150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.6617, kappa: 0.6496, kb_relative_information_score: 10047.6047, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.7177, predictive_accuracy: 0.7002, prior_entropy: 3.8125, recall: 0.7002, relative_absolute_error: 0.3379, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.8225, scimark_benchmark: 1339.3974, usercpu_time_millis: 307080, usercpu_time_millis_testing: 157940, usercpu_time_millis_training: 149140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6127, f_measure: 0.2533, kappa: 0.2283, kb_relative_information_score: 3683.7324, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.1978, predictive_accuracy: 0.3959, prior_entropy: 3.8125, recall: 0.3959, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.2198, root_relative_squared_error: 1.1675, scimark_benchmark: 1465.2979, usercpu_time_millis: 1270, usercpu_time_millis_training: 1270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.8136, kappa: 0.7995, kb_relative_information_score: 12702.9384, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8158, predictive_accuracy: 0.8233, prior_entropy: 3.8125, recall: 0.8233, relative_absolute_error: 0.2853, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.566, scimark_benchmark: 1318.5526, usercpu_time_millis: 158700, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 158690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.8639, kappa: 0.8511, kb_relative_information_score: 14052.3748, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8626, predictive_accuracy: 0.8688, prior_entropy: 3.8125, recall: 0.8688, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.5023, scimark_benchmark: 1320.9387, usercpu_time_millis: 8542540, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 8542530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.7736, kappa: 0.7593, kb_relative_information_score: 12006.1256, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.7718, predictive_accuracy: 0.7887, prior_entropy: 3.8125, recall: 0.7887, relative_absolute_error: 0.3319, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.6066, scimark_benchmark: 1313.5726, usercpu_time_millis: 19600, usercpu_time_millis_training: 19600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.4432, kappa: 0.3733, kb_relative_information_score: 6091.4928, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.4422, predictive_accuracy: 0.4453, prior_entropy: 3.8125, recall: 0.4453, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.2107, root_relative_squared_error: 1.1188, scimark_benchmark: 1333.5799, usercpu_time_millis: 420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8594, kappa: 0.843, kb_relative_information_score: 13654.3906, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8593, predictive_accuracy: 0.8613, prior_entropy: 3.8125, recall: 0.8613, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1053, root_relative_squared_error: 0.5594, scimark_benchmark: 938.343, usercpu_time_millis: 660, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.2533, kappa: 0.2283, kb_relative_information_score: 2677.4165, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.1978, predictive_accuracy: 0.3959, prior_entropy: 3.8125, recall: 0.3959, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.9418, scimark_benchmark: 1327.2954, usercpu_time_millis: 2700, usercpu_time_millis_training: 2700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.7625, kappa: 0.7406, kb_relative_information_score: 8221.32, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.7912, predictive_accuracy: 0.7753, prior_entropy: 3.8125, recall: 0.7753, relative_absolute_error: 0.6912, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.7458, scimark_benchmark: 1347.388, usercpu_time_millis: 992030, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 991690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.8101, kappa: 0.8014, kb_relative_information_score: 12731.6722, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8177, predictive_accuracy: 0.8261, prior_entropy: 3.8125, recall: 0.8261, relative_absolute_error: 0.3294, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1035, root_relative_squared_error: 0.5496, scimark_benchmark: 1293.6566, usercpu_time_millis: 1465680, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 1465550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.5882, kappa: 0.5373, kb_relative_information_score: 8881.794, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.6501, predictive_accuracy: 0.6013, prior_entropy: 3.8125, recall: 0.6013, relative_absolute_error: 0.4662, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.8515, scimark_benchmark: 1313.5052, usercpu_time_millis: 3743900, usercpu_time_millis_testing: 3743900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7077, f_measure: 0.4987, kappa: 0.4237, kb_relative_information_score: 7199.681, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.5682, predictive_accuracy: 0.5036, prior_entropy: 3.8125, recall: 0.5036, relative_absolute_error: 0.5594, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1993, root_relative_squared_error: 1.0584, scimark_benchmark: 1345.7204, usercpu_time_millis: 848060, usercpu_time_millis_testing: 847670, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.8081, kappa: 0.7996, kb_relative_information_score: 12720.3526, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8156, predictive_accuracy: 0.8246, prior_entropy: 3.8125, recall: 0.8246, relative_absolute_error: 0.3293, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1038, root_relative_squared_error: 0.551, scimark_benchmark: 1322.7383, usercpu_time_millis: 821690, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 821620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.4996, kappa: 0.4248, kb_relative_information_score: 7157.3154, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.5692, predictive_accuracy: 0.5046, prior_entropy: 3.8125, recall: 0.5046, relative_absolute_error: 0.5677, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1975, root_relative_squared_error: 1.049, scimark_benchmark: 896.937, usercpu_time_millis: 3120, usercpu_time_millis_testing: 3120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.8052, kappa: 0.7899, kb_relative_information_score: 13257.8063, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8135, predictive_accuracy: 0.8153, prior_entropy: 3.8125, recall: 0.8153, relative_absolute_error: 0.2363, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.5728, scimark_benchmark: 1343.6648, usercpu_time_millis: 23980, usercpu_time_millis_testing: 19730, usercpu_time_millis_training: 4250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.7772, kappa: 0.7758, kb_relative_information_score: 11121.3126, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.7968, predictive_accuracy: 0.8065, prior_entropy: 3.8125, recall: 0.8065, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1175, root_relative_squared_error: 0.6239, scimark_benchmark: 944.0517, usercpu_time_millis: 134000, usercpu_time_millis_testing: 1630, usercpu_time_millis_training: 132370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.7944, kappa: 0.7799, kb_relative_information_score: 12298.8495, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.7921, predictive_accuracy: 0.8077, prior_entropy: 3.8125, recall: 0.8077, relative_absolute_error: 0.2167, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.124, root_relative_squared_error: 0.6587, scimark_benchmark: 943.1756, usercpu_time_millis: 424750, usercpu_time_millis_testing: 700, usercpu_time_millis_training: 424050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8593, kappa: 0.8429, kb_relative_information_score: 13651.2288, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8592, predictive_accuracy: 0.8613, prior_entropy: 3.8125, recall: 0.8613, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.5595, scimark_benchmark: 1358.4523, usercpu_time_millis: 410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6679, f_measure: 0.2546, kappa: 0.2276, kb_relative_information_score: 2709.935, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.2012, predictive_accuracy: 0.3955, prior_entropy: 3.8125, recall: 0.3955, relative_absolute_error: 0.8795, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.941, scimark_benchmark: 1264.0609, usercpu_time_millis: 7910, usercpu_time_millis_training: 7910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6741, f_measure: 0.4171, kappa: 0.3645, kb_relative_information_score: 5539.1497, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.5118, predictive_accuracy: 0.4918, prior_entropy: 3.8125, recall: 0.4918, relative_absolute_error: 0.5727, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.2016, root_relative_squared_error: 1.0709, scimark_benchmark: 1329.2962, usercpu_time_millis: 12650, usercpu_time_millis_testing: 7780, usercpu_time_millis_training: 4870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.6124, kappa: 0.5583, kb_relative_information_score: 3106.7385, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.6945, predictive_accuracy: 0.5918, prior_entropy: 3.8125, recall: 0.5918, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.9991, scimark_benchmark: 929.0363, usercpu_time_millis: 13830, usercpu_time_millis_testing: 10580, usercpu_time_millis_training: 3250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.8013, kappa: 0.7923, kb_relative_information_score: 12624.5458, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.807, predictive_accuracy: 0.8182, prior_entropy: 3.8125, recall: 0.8182, relative_absolute_error: 0.3286, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.5597, scimark_benchmark: 1384.4418, usercpu_time_millis: 203560, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 203530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.771, kappa: 0.7604, kb_relative_information_score: 12284.5825, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.7609, predictive_accuracy: 0.7896, prior_entropy: 3.8125, recall: 0.7896, relative_absolute_error: 0.3158, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1146, root_relative_squared_error: 0.6087, scimark_benchmark: 1307.3269, usercpu_time_millis: 33850, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 33830,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8194, kappa: 0.8042, kb_relative_information_score: 13072.4809, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8143, predictive_accuracy: 0.8272, prior_entropy: 3.8125, recall: 0.8272, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.5795, scimark_benchmark: 899.1108, usercpu_time_millis: 19370, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 18940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.8555, kappa: 0.8405, kb_relative_information_score: 13823.7021, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8547, predictive_accuracy: 0.8596, prior_entropy: 3.8125, recall: 0.8596, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.0972, root_relative_squared_error: 0.5161, scimark_benchmark: 943.4741, usercpu_time_millis: 9476510, usercpu_time_millis_testing: 7040, usercpu_time_millis_training: 9469470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.5719, kappa: 0.5826, kb_relative_information_score: 9149.539, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.5264, predictive_accuracy: 0.6502, prior_entropy: 3.8125, recall: 0.6502, relative_absolute_error: 0.5008, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.133, root_relative_squared_error: 0.7066, scimark_benchmark: 905.2109, usercpu_time_millis: 547510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 547500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.8538, kappa: 0.8387, kb_relative_information_score: 13770.8548, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8531, predictive_accuracy: 0.8581, prior_entropy: 3.8125, recall: 0.8581, relative_absolute_error: 0.1963, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.5125, scimark_benchmark: 1345.7919, usercpu_time_millis: 3976620, usercpu_time_millis_testing: 94480, usercpu_time_millis_training: 3882140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.7779, kappa: 0.7708, kb_relative_information_score: 12178.404, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.7968, predictive_accuracy: 0.8011, prior_entropy: 3.8125, recall: 0.8011, relative_absolute_error: 0.2645, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.6503, scimark_benchmark: 1331.0047, usercpu_time_millis: 121090, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 120920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8078, kappa: 0.7919, kb_relative_information_score: 12616.1667, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8027, predictive_accuracy: 0.8168, prior_entropy: 3.8125, recall: 0.8168, relative_absolute_error: 0.2612, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.113, root_relative_squared_error: 0.6001, scimark_benchmark: 1333.0982, usercpu_time_millis: 153220, usercpu_time_millis_training: 153220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8194, kappa: 0.8042, kb_relative_information_score: 13072.4809, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8143, predictive_accuracy: 0.8272, prior_entropy: 3.8125, recall: 0.8272, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.5795, scimark_benchmark: 936.3952, usercpu_time_millis: 16890, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 16490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.2192, kappa: 0.1987, kb_relative_information_score: 1498.7108, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.156, predictive_accuracy: 0.3687, prior_entropy: 3.8125, recall: 0.3687, relative_absolute_error: 0.9507, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.96, scimark_benchmark: 917.407, usercpu_time_millis: 6803920, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 6803400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8194, kappa: 0.8042, kb_relative_information_score: 13072.4809, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8143, predictive_accuracy: 0.8272, prior_entropy: 3.8125, recall: 0.8272, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.5795, scimark_benchmark: 942.2392, usercpu_time_millis: 20760, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 20320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.8033, kappa: 0.791, kb_relative_information_score: 12963.9084, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8036, predictive_accuracy: 0.8168, prior_entropy: 3.8125, recall: 0.8168, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.5661, scimark_benchmark: 927.7147, usercpu_time_millis: 1001430, usercpu_time_millis_testing: 285430, usercpu_time_millis_training: 716000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.8069, kappa: 0.7955, kb_relative_information_score: 13023.9396, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8081, predictive_accuracy: 0.8208, prior_entropy: 3.8125, recall: 0.8208, relative_absolute_error: 0.3009, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1052, root_relative_squared_error: 0.5584, scimark_benchmark: 851.2074, usercpu_time_millis: 1831020, usercpu_time_millis_testing: 578230, usercpu_time_millis_training: 1252790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.5719, kappa: 0.5826, kb_relative_information_score: 9149.539, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.5264, predictive_accuracy: 0.6502, prior_entropy: 3.8125, recall: 0.6502, relative_absolute_error: 0.5008, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.133, root_relative_squared_error: 0.7066, scimark_benchmark: 935.2002, usercpu_time_millis: 638640, usercpu_time_millis_training: 638640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8194, kappa: 0.8042, kb_relative_information_score: 13072.4809, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8143, predictive_accuracy: 0.8272, prior_entropy: 3.8125, recall: 0.8272, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.5795, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.5719, kappa: 0.5826, kb_relative_information_score: 9149.539, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.5264, predictive_accuracy: 0.6502, prior_entropy: 3.8125, recall: 0.6502, relative_absolute_error: 0.5008, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.133, root_relative_squared_error: 0.7066, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, f_measure: 0.2533, kappa: 0.2283, kb_relative_information_score: 2721.0052, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.1978, predictive_accuracy: 0.3959, prior_entropy: 3.8125, recall: 0.3959, relative_absolute_error: 0.8849, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.941, scimark_benchmark: 1332.1612, usercpu_time_millis: 4100620, usercpu_time_millis_testing: 4100620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.5719, kappa: 0.5826, kb_relative_information_score: 9149.539, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.5264, predictive_accuracy: 0.6502, prior_entropy: 3.8125, recall: 0.6502, relative_absolute_error: 0.5008, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.133, root_relative_squared_error: 0.7066, scimark_benchmark: 1337.3324, usercpu_time_millis: 394310, usercpu_time_millis_training: 394310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8508, kappa: 0.836, kb_relative_information_score: 13734.1922, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8507, predictive_accuracy: 0.8553, prior_entropy: 3.8125, recall: 0.8553, relative_absolute_error: 0.168, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1023, root_relative_squared_error: 0.5434, scimark_benchmark: 931.771, usercpu_time_millis: 14527440, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 14527420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6654, f_measure: 0.2533, kappa: 0.2283, kb_relative_information_score: 2675.1016, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.1978, predictive_accuracy: 0.3959, prior_entropy: 3.8125, recall: 0.3959, relative_absolute_error: 0.8854, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.9407, scimark_benchmark: 943.4741, usercpu_time_millis: 2600, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0819, kb_relative_information_score: 1690.6389, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.0501, predictive_accuracy: 0.2239, prior_entropy: 3.8125, recall: 0.2239, relative_absolute_error: 0.8745, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.2492, root_relative_squared_error: 1.3233, scimark_benchmark: 922.8232, usercpu_time_millis: 560, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 200,

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