Task
Supervised Classification on letter

Supervised Classification on letter

Task 4545 Supervised Classification letter 205 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9906, kappa: 0.8761, kb_relative_information_score: 144305.1897, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9905, predictive_accuracy: 0.9908, prior_entropy: 0.2455, recall: 0.9908, relative_absolute_error: 0.1831, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0911, root_relative_squared_error: 0.4611, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9824, kappa: 0.767, kb_relative_information_score: -84436.4185, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9822, predictive_accuracy: 0.983, prior_entropy: 0.2455, recall: 0.983, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.6559, scimark_benchmark: 972.587, usercpu_time_millis: 4310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.9825, kappa: 0.7557, kb_relative_information_score: -94881.5393, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9837, predictive_accuracy: 0.984, prior_entropy: 0.2455, recall: 0.984, relative_absolute_error: 0.7549, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.6338, scimark_benchmark: 934.3687, usercpu_time_millis: 5230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9982, kappa: 0.9762, kb_relative_information_score: 192872.2281, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.2455, recall: 0.9982, relative_absolute_error: 0.0234, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0427, root_relative_squared_error: 0.2163, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9982, kappa: 0.9762, kb_relative_information_score: 192872.2281, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.2455, recall: 0.9982, relative_absolute_error: 0.0234, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0427, root_relative_squared_error: 0.2163, scimark_benchmark: 931.771, usercpu_time_millis: 72360, usercpu_time_millis_testing: 9940, usercpu_time_millis_training: 62420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9857, kappa: 0.8111, kb_relative_information_score: 109010.1171, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9856, predictive_accuracy: 0.9862, prior_entropy: 0.2455, recall: 0.9862, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.5028, scimark_benchmark: 941.6675, usercpu_time_millis: 330, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9857, kappa: 0.8111, kb_relative_information_score: 109010.1171, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9856, predictive_accuracy: 0.9862, prior_entropy: 0.2455, recall: 0.9862, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.5028, scimark_benchmark: 941.6675, usercpu_time_millis: 300, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9857, kappa: 0.8111, kb_relative_information_score: 109010.1171, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9856, predictive_accuracy: 0.9862, prior_entropy: 0.2455, recall: 0.9862, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.5028, scimark_benchmark: 938.191, usercpu_time_millis: 260, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9943, kappa: 0.9256, kb_relative_information_score: 150778.1336, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 0.2455, recall: 0.9945, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0651, root_relative_squared_error: 0.3299, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9915, kappa: 0.889, kb_relative_information_score: 146096.9639, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9915, predictive_accuracy: 0.9918, prior_entropy: 0.2455, recall: 0.9918, relative_absolute_error: 0.1754, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.438, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9982, kappa: 0.9762, kb_relative_information_score: 192872.2281, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.2455, recall: 0.9982, relative_absolute_error: 0.0234, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0427, root_relative_squared_error: 0.2163, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9982, kappa: 0.9762, kb_relative_information_score: 192872.2281, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.2455, recall: 0.9982, relative_absolute_error: 0.0234, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0427, root_relative_squared_error: 0.2163, scimark_benchmark: 941.3847, usercpu_time_millis: 34810, usercpu_time_millis_testing: 6710, usercpu_time_millis_training: 28100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9803, kappa: 0.7401, kb_relative_information_score: 93437.7965, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.98, predictive_accuracy: 0.981, prior_entropy: 0.2455, recall: 0.981, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6411, scimark_benchmark: 941.3847, usercpu_time_millis: 230, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9857, kappa: 0.8111, kb_relative_information_score: 109010.1171, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9856, predictive_accuracy: 0.9862, prior_entropy: 0.2455, recall: 0.9862, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.5028, scimark_benchmark: 974.2014, usercpu_time_millis: 560, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9967, kappa: 0.9568, kb_relative_information_score: 163425.8708, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9967, predictive_accuracy: 0.9968, prior_entropy: 0.2455, recall: 0.9968, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0519, root_relative_squared_error: 0.2626, scimark_benchmark: 974.2014, usercpu_time_millis: 9320, usercpu_time_millis_testing: 700, usercpu_time_millis_training: 8620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9906, kappa: 0.8761, kb_relative_information_score: 144305.1897, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9905, predictive_accuracy: 0.9908, prior_entropy: 0.2455, recall: 0.9908, relative_absolute_error: 0.1831, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0911, root_relative_squared_error: 0.4611, scimark_benchmark: 942.2392, usercpu_time_millis: 220, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9824, kappa: 0.767, kb_relative_information_score: -84436.4185, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9822, predictive_accuracy: 0.983, prior_entropy: 0.2455, recall: 0.983, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.6559, scimark_benchmark: 908.9569, usercpu_time_millis: 5140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.9825, kappa: 0.7557, kb_relative_information_score: -94881.5393, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9837, predictive_accuracy: 0.984, prior_entropy: 0.2455, recall: 0.984, relative_absolute_error: 0.7549, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.6338, scimark_benchmark: 938.1282, usercpu_time_millis: 5240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9982, kappa: 0.9762, kb_relative_information_score: 192872.2281, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.2455, recall: 0.9982, relative_absolute_error: 0.0234, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0427, root_relative_squared_error: 0.2163, scimark_benchmark: 932.438, usercpu_time_millis: 39230, usercpu_time_millis_testing: 6420, usercpu_time_millis_training: 32810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9857, kappa: 0.8111, kb_relative_information_score: 109010.1171, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9856, predictive_accuracy: 0.9862, prior_entropy: 0.2455, recall: 0.9862, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.5028, scimark_benchmark: 938.1282, usercpu_time_millis: 320, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9857, kappa: 0.8111, kb_relative_information_score: 109010.1171, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9856, predictive_accuracy: 0.9862, prior_entropy: 0.2455, recall: 0.9862, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.5028, scimark_benchmark: 930.404, usercpu_time_millis: 290, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9943, kappa: 0.9256, kb_relative_information_score: 150778.1336, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 0.2455, recall: 0.9945, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0651, root_relative_squared_error: 0.3299, scimark_benchmark: 903.2737, usercpu_time_millis: 2070, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9857, kappa: 0.8111, kb_relative_information_score: 109010.1171, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9856, predictive_accuracy: 0.9862, prior_entropy: 0.2455, recall: 0.9862, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.5028, scimark_benchmark: 932.438, usercpu_time_millis: 330, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9915, kappa: 0.889, kb_relative_information_score: 146096.9639, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9915, predictive_accuracy: 0.9918, prior_entropy: 0.2455, recall: 0.9918, relative_absolute_error: 0.1754, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.438, scimark_benchmark: 936.2574, usercpu_time_millis: 15350, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 15270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9967, kappa: 0.9568, kb_relative_information_score: 163425.8708, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9967, predictive_accuracy: 0.9968, prior_entropy: 0.2455, recall: 0.9968, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0519, root_relative_squared_error: 0.2626, scimark_benchmark: 936.3213, usercpu_time_millis: 7050, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 6530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9962, kappa: 0.9497, kb_relative_information_score: 166834.1758, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 0.2455, recall: 0.9963, relative_absolute_error: 0.1463, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0538, root_relative_squared_error: 0.2722, scimark_benchmark: 904.5548, usercpu_time_millis: 252970, usercpu_time_millis_testing: 77070, usercpu_time_millis_training: 175900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9961, kappa: 0.9493, kb_relative_information_score: 166024.5174, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.2455, recall: 0.9962, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.054, root_relative_squared_error: 0.2737, scimark_benchmark: 934.7923, usercpu_time_millis: 122470, usercpu_time_millis_testing: 26230, usercpu_time_millis_training: 96240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.996, kappa: 0.9479, kb_relative_information_score: 162673.4642, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9961, predictive_accuracy: 0.9961, prior_entropy: 0.2455, recall: 0.9961, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0552, root_relative_squared_error: 0.2796, scimark_benchmark: 936.3213, usercpu_time_millis: 47120, usercpu_time_millis_testing: 6970, usercpu_time_millis_training: 40150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9958, kappa: 0.945, kb_relative_information_score: 154566.5331, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.2455, recall: 0.9959, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0567, root_relative_squared_error: 0.2872, scimark_benchmark: 939.682, usercpu_time_millis: 23880, usercpu_time_millis_testing: 3510, usercpu_time_millis_training: 20370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9955, kappa: 0.9408, kb_relative_information_score: 147462.2126, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.2455, recall: 0.9956, relative_absolute_error: 0.1467, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.059, root_relative_squared_error: 0.2988, scimark_benchmark: 933.9243, usercpu_time_millis: 13440, usercpu_time_millis_testing: 1730, usercpu_time_millis_training: 11710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9812, kappa: 0.7542, kb_relative_information_score: 73650.0854, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9809, predictive_accuracy: 0.9815, prior_entropy: 0.2455, recall: 0.9815, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.1205, root_relative_squared_error: 0.6103, scimark_benchmark: 889.4922, usercpu_time_millis: 1140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9812, kappa: 0.7542, kb_relative_information_score: 73650.0854, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9809, predictive_accuracy: 0.9815, prior_entropy: 0.2455, recall: 0.9815, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.1205, root_relative_squared_error: 0.6103, scimark_benchmark: 930.0565, usercpu_time_millis: 1560, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9812, kappa: 0.7542, kb_relative_information_score: 73650.0854, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9809, predictive_accuracy: 0.9815, prior_entropy: 0.2455, recall: 0.9815, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.1205, root_relative_squared_error: 0.6103, scimark_benchmark: 894.7131, usercpu_time_millis: 1240, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9812, kappa: 0.7542, kb_relative_information_score: 73650.0854, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9809, predictive_accuracy: 0.9815, prior_entropy: 0.2455, recall: 0.9815, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.1205, root_relative_squared_error: 0.6103, scimark_benchmark: 936.1714, usercpu_time_millis: 1020, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9754, kappa: 0.6721, kb_relative_information_score: 51149.2339, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9749, predictive_accuracy: 0.9764, prior_entropy: 0.2455, recall: 0.9764, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.6526, scimark_benchmark: 926.5859, usercpu_time_millis: 690, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 660,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9562, kappa: 0.3126, kb_relative_information_score: 105184.9121, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9679, predictive_accuracy: 0.9671, prior_entropy: 0.2455, recall: 0.9671, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.8133, scimark_benchmark: 938.3115, usercpu_time_millis: 12130, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 11990,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9982, kappa: 0.9762, kb_relative_information_score: 192872.2281, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.2455, recall: 0.9982, relative_absolute_error: 0.0234, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0427, root_relative_squared_error: 0.2163, scimark_benchmark: 1362.9924, usercpu_time_millis: 60580, usercpu_time_millis_testing: 6780, usercpu_time_millis_training: 53800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9803, kappa: 0.7401, kb_relative_information_score: 93437.7965, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.98, predictive_accuracy: 0.981, prior_entropy: 0.2455, recall: 0.981, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6411, scimark_benchmark: 1331.2559, usercpu_time_millis: 240, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9857, kappa: 0.8111, kb_relative_information_score: 109010.1171, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9856, predictive_accuracy: 0.9862, prior_entropy: 0.2455, recall: 0.9862, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.5028, scimark_benchmark: 1278.9821, usercpu_time_millis: 230, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9824, kappa: 0.767, kb_relative_information_score: -84436.4185, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9822, predictive_accuracy: 0.983, prior_entropy: 0.2455, recall: 0.983, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.6559, scimark_benchmark: 1339.6197, usercpu_time_millis: 2790, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9803, kappa: 0.7401, kb_relative_information_score: 93437.7965, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.98, predictive_accuracy: 0.981, prior_entropy: 0.2455, recall: 0.981, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6411, scimark_benchmark: 1325.8468, usercpu_time_millis: 140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9857, kappa: 0.8111, kb_relative_information_score: 109010.1171, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9856, predictive_accuracy: 0.9862, prior_entropy: 0.2455, recall: 0.9862, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.5028, scimark_benchmark: 1340.9749, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9943, kappa: 0.9256, kb_relative_information_score: 150778.1336, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 0.2455, recall: 0.9945, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0651, root_relative_squared_error: 0.3299, scimark_benchmark: 1340.9749, usercpu_time_millis: 1330, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9857, kappa: 0.8111, kb_relative_information_score: 109010.1171, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9856, predictive_accuracy: 0.9862, prior_entropy: 0.2455, recall: 0.9862, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.5028, scimark_benchmark: 1317.5857, usercpu_time_millis: 200, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9857, kappa: 0.8111, kb_relative_information_score: 109010.1171, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9856, predictive_accuracy: 0.9862, prior_entropy: 0.2455, recall: 0.9862, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.5028, scimark_benchmark: 1317.5857, usercpu_time_millis: 200, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9741, kappa: 0.6355, kb_relative_information_score: 14981.4126, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9748, predictive_accuracy: 0.9768, prior_entropy: 0.2455, recall: 0.9768, relative_absolute_error: 0.4871, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.6928, scimark_benchmark: 1417.3093, usercpu_time_millis: 604770, usercpu_time_millis_testing: 24340, usercpu_time_millis_training: 580430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9803, kappa: 0.7401, kb_relative_information_score: 93437.7965, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.98, predictive_accuracy: 0.981, prior_entropy: 0.2455, recall: 0.981, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6411, scimark_benchmark: 1351.1238, usercpu_time_millis: 200, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9857, kappa: 0.8111, kb_relative_information_score: 109010.1171, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9856, predictive_accuracy: 0.9862, prior_entropy: 0.2455, recall: 0.9862, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.5028, scimark_benchmark: 1342.8584, usercpu_time_millis: 250, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9857, kappa: 0.8111, kb_relative_information_score: 109010.1171, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9856, predictive_accuracy: 0.9862, prior_entropy: 0.2455, recall: 0.9862, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.5028, scimark_benchmark: 1337.9552, usercpu_time_millis: 180, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9857, kappa: 0.8111, kb_relative_information_score: 109010.1171, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9856, predictive_accuracy: 0.9862, prior_entropy: 0.2455, recall: 0.9862, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.5028, scimark_benchmark: 1306.8702, usercpu_time_millis: 230, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9803, kappa: 0.7401, kb_relative_information_score: 93437.7965, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.98, predictive_accuracy: 0.981, prior_entropy: 0.2455, recall: 0.981, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6411, scimark_benchmark: 1317.5857, usercpu_time_millis: 180, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9857, kappa: 0.8111, kb_relative_information_score: 109010.1171, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9856, predictive_accuracy: 0.9862, prior_entropy: 0.2455, recall: 0.9862, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.5028, scimark_benchmark: 1346.4374, usercpu_time_millis: 170, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9857, kappa: 0.8111, kb_relative_information_score: 109010.1171, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9856, predictive_accuracy: 0.9862, prior_entropy: 0.2455, recall: 0.9862, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.5028, scimark_benchmark: 1358.6198, usercpu_time_millis: 170, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9915, kappa: 0.889, kb_relative_information_score: 146096.9639, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9915, predictive_accuracy: 0.9918, prior_entropy: 0.2455, recall: 0.9918, relative_absolute_error: 0.1754, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.438, scimark_benchmark: 1338.5214, usercpu_time_millis: 14660, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 14480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9967, kappa: 0.9568, kb_relative_information_score: 163425.8708, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9967, predictive_accuracy: 0.9968, prior_entropy: 0.2455, recall: 0.9968, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0519, root_relative_squared_error: 0.2626, scimark_benchmark: 1332.6745, usercpu_time_millis: 4880, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 4340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9906, kappa: 0.8761, kb_relative_information_score: 144305.1897, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9905, predictive_accuracy: 0.9908, prior_entropy: 0.2455, recall: 0.9908, relative_absolute_error: 0.1831, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0911, root_relative_squared_error: 0.4611, scimark_benchmark: 1309.4708, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9824, kappa: 0.767, kb_relative_information_score: -84436.4185, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9822, predictive_accuracy: 0.983, prior_entropy: 0.2455, recall: 0.983, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.6559, scimark_benchmark: 1319.5773, usercpu_time_millis: 1630, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.9825, kappa: 0.7557, kb_relative_information_score: -94881.5393, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9837, predictive_accuracy: 0.984, prior_entropy: 0.2455, recall: 0.984, relative_absolute_error: 0.7549, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.6338, scimark_benchmark: 1322.806, usercpu_time_millis: 3580, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9952, kappa: 0.9379, kb_relative_information_score: 178591.7812, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.2455, recall: 0.9952, relative_absolute_error: 0.067, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.065, root_relative_squared_error: 0.3292, scimark_benchmark: 1352.9101, usercpu_time_millis: 35740, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 35710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9982, kappa: 0.9762, kb_relative_information_score: 192872.2281, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.2455, recall: 0.9982, relative_absolute_error: 0.0234, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0427, root_relative_squared_error: 0.2163, scimark_benchmark: 1310.3168, usercpu_time_millis: 68900, usercpu_time_millis_testing: 7740, usercpu_time_millis_training: 61160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9982, kappa: 0.9762, kb_relative_information_score: 192872.2281, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.2455, recall: 0.9982, relative_absolute_error: 0.0234, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0427, root_relative_squared_error: 0.2163, scimark_benchmark: 1320.8688, usercpu_time_millis: 68440, usercpu_time_millis_testing: 7880, usercpu_time_millis_training: 60560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9803, kappa: 0.7401, kb_relative_information_score: 93437.7965, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.98, predictive_accuracy: 0.981, prior_entropy: 0.2455, recall: 0.981, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6411, scimark_benchmark: 1336.4701, usercpu_time_millis: 150, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9915, kappa: 0.889, kb_relative_information_score: 146096.9639, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9915, predictive_accuracy: 0.9918, prior_entropy: 0.2455, recall: 0.9918, relative_absolute_error: 0.1754, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.438, scimark_benchmark: 1348.2804, usercpu_time_millis: 17170, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 16980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9892, kappa: 0.8584, kb_relative_information_score: 121782.7096, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9892, predictive_accuracy: 0.9895, prior_entropy: 0.2455, recall: 0.9895, relative_absolute_error: 0.2165, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.4467, scimark_benchmark: 1296.9979, usercpu_time_millis: 2980, usercpu_time_millis_testing: 2190, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9982, kappa: 0.9762, kb_relative_information_score: 192872.2281, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.078, number_of_instances: 200000, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.2455, recall: 0.9982, relative_absolute_error: 0.0234, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0427, root_relative_squared_error: 0.2163, scimark_benchmark: 1318.4315, usercpu_time_millis: 72850, usercpu_time_millis_testing: 6210, usercpu_time_millis_training: 66640,

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