Task
Supervised Classification on BNG(cmc,nominal,55296)

Supervised Classification on BNG(cmc,nominal,55296)

Task 145 Supervised Classification BNG(cmc,nominal,55296) 259 runs submitted
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  • study_1 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5051, kappa: 0.2425, kb_relative_information_score: 10820.5042, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5115, predictive_accuracy: 0.5028, prior_entropy: 1.5394, recall: 0.5028, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9511, scimark_benchmark: 1324.6442, usercpu_time_millis: 200, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.5203, kappa: 0.255, kb_relative_information_score: 10754.4437, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5211, predictive_accuracy: 0.5208, prior_entropy: 1.5394, recall: 0.5208, relative_absolute_error: 0.8772, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.9425, scimark_benchmark: 1310.6554, usercpu_time_millis: 2900, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 2750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.5213, kappa: 0.2558, kb_relative_information_score: 10285.2876, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5213, predictive_accuracy: 0.5226, prior_entropy: 1.5394, recall: 0.5226, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.9464, scimark_benchmark: 1310.3168, usercpu_time_millis: 570, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.5156, kappa: 0.2497, kb_relative_information_score: 17015.3256, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5251, predictive_accuracy: 0.5175, prior_entropy: 1.5394, recall: 0.5175, relative_absolute_error: 0.7466, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.5672, root_relative_squared_error: 1.222, scimark_benchmark: 1317.071, usercpu_time_millis: 1208970, usercpu_time_millis_testing: 475170, usercpu_time_millis_training: 733800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, f_measure: 0.4908, kappa: 0.224, kb_relative_information_score: 11275.6492, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5001, predictive_accuracy: 0.4884, prior_entropy: 1.5394, recall: 0.4884, relative_absolute_error: 0.8753, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9721, scimark_benchmark: 1316.5668, usercpu_time_millis: 240, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5051, kappa: 0.2425, kb_relative_information_score: 10820.5042, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5115, predictive_accuracy: 0.5028, prior_entropy: 1.5394, recall: 0.5028, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9511, scimark_benchmark: 1319.4538, usercpu_time_millis: 200, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5051, kappa: 0.2425, kb_relative_information_score: 10820.5042, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5115, predictive_accuracy: 0.5028, prior_entropy: 1.5394, recall: 0.5028, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9511, scimark_benchmark: 1337.9552, usercpu_time_millis: 200, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.5156, kappa: 0.2497, kb_relative_information_score: 17015.3256, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5251, predictive_accuracy: 0.5175, prior_entropy: 1.5394, recall: 0.5175, relative_absolute_error: 0.7466, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.5672, root_relative_squared_error: 1.222, scimark_benchmark: 1306.9281, usercpu_time_millis: 1365940, usercpu_time_millis_testing: 536080, usercpu_time_millis_training: 829860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5051, kappa: 0.2425, kb_relative_information_score: 10820.5042, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5115, predictive_accuracy: 0.5028, prior_entropy: 1.5394, recall: 0.5028, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9511, scimark_benchmark: 1323.5075, usercpu_time_millis: 240, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5051, kappa: 0.2425, kb_relative_information_score: 10820.5042, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5115, predictive_accuracy: 0.5028, prior_entropy: 1.5394, recall: 0.5028, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9511, scimark_benchmark: 1313.11, usercpu_time_millis: 170, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5051, kappa: 0.2425, kb_relative_information_score: 10820.5042, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5115, predictive_accuracy: 0.5028, prior_entropy: 1.5394, recall: 0.5028, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9511, scimark_benchmark: 1333.0982, usercpu_time_millis: 210, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5051, kappa: 0.2425, kb_relative_information_score: 10820.5042, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5115, predictive_accuracy: 0.5028, prior_entropy: 1.5394, recall: 0.5028, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9511, scimark_benchmark: 1327.3335, usercpu_time_millis: 200, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.5203, kappa: 0.255, kb_relative_information_score: 10754.4437, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5211, predictive_accuracy: 0.5208, prior_entropy: 1.5394, recall: 0.5208, relative_absolute_error: 0.8772, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.9425, scimark_benchmark: 1337.3324, usercpu_time_millis: 2940, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 2780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5051, kappa: 0.2425, kb_relative_information_score: 10820.5042, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5115, predictive_accuracy: 0.5028, prior_entropy: 1.5394, recall: 0.5028, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9511, scimark_benchmark: 1332.9478, usercpu_time_millis: 210, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7028, f_measure: 0.5234, kappa: 0.2627, kb_relative_information_score: 11231.0813, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5254, predictive_accuracy: 0.5226, prior_entropy: 1.5394, recall: 0.5226, relative_absolute_error: 0.8702, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.9402, scimark_benchmark: 1323.5075, usercpu_time_millis: 6890, usercpu_time_millis_testing: 650, usercpu_time_millis_training: 6240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.5119, kappa: 0.2436, kb_relative_information_score: 11044.0035, mean_absolute_error: 0.3758, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5131, predictive_accuracy: 0.5117, prior_entropy: 1.5394, recall: 0.5117, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.9579, scimark_benchmark: 1323.5075, usercpu_time_millis: 13830, usercpu_time_millis_testing: 4950, usercpu_time_millis_training: 8880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, f_measure: 0.4993, kappa: 0.225, kb_relative_information_score: 9078.6602, mean_absolute_error: 0.3891, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5014, predictive_accuracy: 0.4981, prior_entropy: 1.5394, recall: 0.4981, relative_absolute_error: 0.9031, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.9497, scimark_benchmark: 1364.991, usercpu_time_millis: 18210, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 18160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7059, f_measure: 0.5263, kappa: 0.2655, kb_relative_information_score: 10960.1189, mean_absolute_error: 0.3766, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5264, predictive_accuracy: 0.5265, prior_entropy: 1.5394, recall: 0.5265, relative_absolute_error: 0.8741, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.9379, scimark_benchmark: 1367.3264, usercpu_time_millis: 210310, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 210160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5051, kappa: 0.2425, kb_relative_information_score: 10820.5042, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5115, predictive_accuracy: 0.5028, prior_entropy: 1.5394, recall: 0.5028, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9511, scimark_benchmark: 1332.3382, usercpu_time_millis: 280, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5051, kappa: 0.2425, kb_relative_information_score: 10820.5042, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5115, predictive_accuracy: 0.5028, prior_entropy: 1.5394, recall: 0.5028, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9511, scimark_benchmark: 1311.7317, usercpu_time_millis: 230, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5051, kappa: 0.2425, kb_relative_information_score: 10820.5042, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5115, predictive_accuracy: 0.5028, prior_entropy: 1.5394, recall: 0.5028, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9511, scimark_benchmark: 1349.9109, usercpu_time_millis: 180, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.5156, kappa: 0.2497, kb_relative_information_score: 17015.3256, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5251, predictive_accuracy: 0.5175, prior_entropy: 1.5394, recall: 0.5175, relative_absolute_error: 0.7466, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.5672, root_relative_squared_error: 1.222, scimark_benchmark: 1333.9912, usercpu_time_millis: 1622300, usercpu_time_millis_testing: 707410, usercpu_time_millis_training: 914890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7028, f_measure: 0.5234, kappa: 0.2627, kb_relative_information_score: 11231.0813, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5254, predictive_accuracy: 0.5226, prior_entropy: 1.5394, recall: 0.5226, relative_absolute_error: 0.8702, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.9402, scimark_benchmark: 1352.9931, usercpu_time_millis: 5920, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 5330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5051, kappa: 0.2425, kb_relative_information_score: 10820.5042, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5115, predictive_accuracy: 0.5028, prior_entropy: 1.5394, recall: 0.5028, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9511, scimark_benchmark: 1317.5857, usercpu_time_millis: 210, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.5119, kappa: 0.2436, kb_relative_information_score: 11044.0035, mean_absolute_error: 0.3758, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5131, predictive_accuracy: 0.5117, prior_entropy: 1.5394, recall: 0.5117, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.9579, scimark_benchmark: 1344.0499, usercpu_time_millis: 21110, usercpu_time_millis_testing: 8570, usercpu_time_millis_training: 12540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.5199, kappa: 0.2589, kb_relative_information_score: 10691.3457, mean_absolute_error: 0.3794, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5231, predictive_accuracy: 0.5184, prior_entropy: 1.5394, recall: 0.5184, relative_absolute_error: 0.8806, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.9431, scimark_benchmark: 1404.0159, usercpu_time_millis: 550, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.5213, kappa: 0.2558, kb_relative_information_score: 10285.2876, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5213, predictive_accuracy: 0.5226, prior_entropy: 1.5394, recall: 0.5226, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.9464, scimark_benchmark: 1274.7011, usercpu_time_millis: 360, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.5156, kappa: 0.2497, kb_relative_information_score: 17015.3256, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5251, predictive_accuracy: 0.5175, prior_entropy: 1.5394, recall: 0.5175, relative_absolute_error: 0.7466, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.5672, root_relative_squared_error: 1.222, scimark_benchmark: 1329.2389, usercpu_time_millis: 1162760, usercpu_time_millis_testing: 487600, usercpu_time_millis_training: 675160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5051, kappa: 0.2425, kb_relative_information_score: 10820.5042, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5115, predictive_accuracy: 0.5028, prior_entropy: 1.5394, recall: 0.5028, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9511, scimark_benchmark: 1260.1387, usercpu_time_millis: 180, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5051, kappa: 0.2425, kb_relative_information_score: 10820.5042, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5115, predictive_accuracy: 0.5028, prior_entropy: 1.5394, recall: 0.5028, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9511, scimark_benchmark: 1354.3488, usercpu_time_millis: 210, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, f_measure: 0.4908, kappa: 0.224, kb_relative_information_score: 11275.6492, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5001, predictive_accuracy: 0.4884, prior_entropy: 1.5394, recall: 0.4884, relative_absolute_error: 0.8753, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9721, scimark_benchmark: 938.0414, usercpu_time_millis: 210, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5051, kappa: 0.2425, kb_relative_information_score: 10820.5042, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5115, predictive_accuracy: 0.5028, prior_entropy: 1.5394, recall: 0.5028, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9511, scimark_benchmark: 1297.2338, usercpu_time_millis: 180, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.5119, kappa: 0.2436, kb_relative_information_score: 11044.0035, mean_absolute_error: 0.3758, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5131, predictive_accuracy: 0.5117, prior_entropy: 1.5394, recall: 0.5117, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.9579, scimark_benchmark: 1322.7257, usercpu_time_millis: 14180, usercpu_time_millis_testing: 6780, usercpu_time_millis_training: 7400,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6887, f_measure: 0.5041, kappa: 0.227, kb_relative_information_score: 9539.4056, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5056, predictive_accuracy: 0.5064, prior_entropy: 1.5394, recall: 0.5064, relative_absolute_error: 0.898, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9474, scimark_benchmark: 1339.8573, usercpu_time_millis: 5850, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 5810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.5015, kappa: 0.2223, kb_relative_information_score: 9275.5412, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5041, predictive_accuracy: 0.505, prior_entropy: 1.5394, recall: 0.505, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.44, root_relative_squared_error: 0.9479, scimark_benchmark: 1311.1837, usercpu_time_millis: 1650, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.5203, kappa: 0.255, kb_relative_information_score: 10754.4437, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5211, predictive_accuracy: 0.5208, prior_entropy: 1.5394, recall: 0.5208, relative_absolute_error: 0.8772, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.9425, scimark_benchmark: 1331.2332, usercpu_time_millis: 4250, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 4040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7048, f_measure: 0.5221, kappa: 0.2559, kb_relative_information_score: 10265.484, mean_absolute_error: 0.3813, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.523, predictive_accuracy: 0.5248, prior_entropy: 1.5394, recall: 0.5248, relative_absolute_error: 0.885, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.9383, scimark_benchmark: 1340.9497, usercpu_time_millis: 200, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5051, kappa: 0.2425, kb_relative_information_score: 10820.5042, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5115, predictive_accuracy: 0.5028, prior_entropy: 1.5394, recall: 0.5028, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9511, scimark_benchmark: 1248.0234, usercpu_time_millis: 180, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.517, kappa: 0.2505, kb_relative_information_score: 10338.421, mean_absolute_error: 0.3815, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5186, predictive_accuracy: 0.517, prior_entropy: 1.5394, recall: 0.517, relative_absolute_error: 0.8853, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.9533, scimark_benchmark: 1337.2572, usercpu_time_millis: 5730, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 5550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.517, kappa: 0.2505, kb_relative_information_score: 10338.421, mean_absolute_error: 0.3815, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5186, predictive_accuracy: 0.517, prior_entropy: 1.5394, recall: 0.517, relative_absolute_error: 0.8853, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.9533, scimark_benchmark: 1327.9952, usercpu_time_millis: 11030, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 10820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.5213, kappa: 0.2558, kb_relative_information_score: 10285.2876, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5213, predictive_accuracy: 0.5226, prior_entropy: 1.5394, recall: 0.5226, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.9464, scimark_benchmark: 1341.994, usercpu_time_millis: 400, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, f_measure: 0.4908, kappa: 0.2239, kb_relative_information_score: 11274.4664, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5, predictive_accuracy: 0.4883, prior_entropy: 1.5394, recall: 0.4883, relative_absolute_error: 0.8753, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9721, scimark_benchmark: 1343.4572, usercpu_time_millis: 270, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, f_measure: 0.4908, kappa: 0.2239, kb_relative_information_score: 11274.4664, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5, predictive_accuracy: 0.4883, prior_entropy: 1.5394, recall: 0.4883, relative_absolute_error: 0.8753, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9721, scimark_benchmark: 1301.9176, usercpu_time_millis: 240, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.5032, kappa: 0.2256, kb_relative_information_score: 8987.7846, mean_absolute_error: 0.3909, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5042, predictive_accuracy: 0.5068, prior_entropy: 1.5394, recall: 0.5068, relative_absolute_error: 0.9073, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.44, root_relative_squared_error: 0.9481, scimark_benchmark: 932.0242, usercpu_time_millis: 1890, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 1750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.493, kappa: 0.2084, kb_relative_information_score: 10509.5848, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.4988, predictive_accuracy: 0.502, prior_entropy: 1.5394, recall: 0.502, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.9487, scimark_benchmark: 1334.9657, usercpu_time_millis: 252550, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 252220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.5043, kappa: 0.2274, kb_relative_information_score: 9550.7189, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5057, predictive_accuracy: 0.5066, prior_entropy: 1.5394, recall: 0.5066, relative_absolute_error: 0.8978, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9474, scimark_benchmark: 1310.934, usercpu_time_millis: 8350, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 8230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, f_measure: 0.4927, kappa: 0.2081, kb_relative_information_score: 15379.4808, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.4969, predictive_accuracy: 0.5003, prior_entropy: 1.5394, recall: 0.5003, relative_absolute_error: 0.7732, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.5772, root_relative_squared_error: 1.2435, scimark_benchmark: 854.5188, usercpu_time_millis: 7180, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 7070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6813, f_measure: 0.5118, kappa: 0.2421, kb_relative_information_score: 10970.1366, mean_absolute_error: 0.3763, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5117, predictive_accuracy: 0.5126, prior_entropy: 1.5394, recall: 0.5126, relative_absolute_error: 0.8734, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4482, root_relative_squared_error: 0.9656, scimark_benchmark: 1340.1351, usercpu_time_millis: 151470, usercpu_time_millis_testing: 151460, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.2563, kb_relative_information_score: 0.3283, mean_absolute_error: 0.4309, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.183, predictive_accuracy: 0.4278, prior_entropy: 1.5394, recall: 0.4278, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4642, root_relative_squared_error: 1, scimark_benchmark: 1344.7246, usercpu_time_millis: 80, usercpu_time_millis_testing: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.5186, kappa: 0.2546, kb_relative_information_score: 9904.3546, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.52, predictive_accuracy: 0.518, prior_entropy: 1.5394, recall: 0.518, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.9442, scimark_benchmark: 1347.3845, usercpu_time_millis: 5520, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 5440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5632, f_measure: 0.398, kappa: 0.1031, kb_relative_information_score: 3004.3213, mean_absolute_error: 0.4189, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5003, predictive_accuracy: 0.4675, prior_entropy: 1.5394, recall: 0.4675, relative_absolute_error: 0.9723, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9871, scimark_benchmark: 915.6729, usercpu_time_millis: 12510, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 12420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, f_measure: 0.5187, kappa: 0.2534, kb_relative_information_score: 12484.3175, mean_absolute_error: 0.3614, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5193, predictive_accuracy: 0.5188, prior_entropy: 1.5394, recall: 0.5188, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9982, scimark_benchmark: 1341.7207, usercpu_time_millis: 26140, usercpu_time_millis_testing: 3160, usercpu_time_millis_training: 22980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.5119, kappa: 0.2436, kb_relative_information_score: 11044.0035, mean_absolute_error: 0.3758, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5131, predictive_accuracy: 0.5117, prior_entropy: 1.5394, recall: 0.5117, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.9579, scimark_benchmark: 918.6005, usercpu_time_millis: 13530, usercpu_time_millis_testing: 3540, usercpu_time_millis_training: 9990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6347, f_measure: 0.489, kappa: 0.2134, kb_relative_information_score: 15059.9508, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.4971, predictive_accuracy: 0.4883, prior_entropy: 1.5394, recall: 0.4883, relative_absolute_error: 0.8065, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.529, root_relative_squared_error: 1.1397, scimark_benchmark: 1341.468, usercpu_time_millis: 24590, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 24080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6977, f_measure: 0.4932, kappa: 0.2131, kb_relative_information_score: 6897.301, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5033, predictive_accuracy: 0.5095, prior_entropy: 1.5394, recall: 0.5095, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4417, root_relative_squared_error: 0.9517, scimark_benchmark: 1361.2664, usercpu_time_millis: 11600, usercpu_time_millis_testing: 2010, usercpu_time_millis_training: 9590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5028, kappa: 0.2246, kb_relative_information_score: 9472.1561, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.505, predictive_accuracy: 0.5056, prior_entropy: 1.5394, recall: 0.5056, relative_absolute_error: 0.8989, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9475, scimark_benchmark: 1321.8733, usercpu_time_millis: 2860, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.5214, kappa: 0.2566, kb_relative_information_score: 10768.6484, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.522, predictive_accuracy: 0.5219, prior_entropy: 1.5394, recall: 0.5219, relative_absolute_error: 0.8772, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.9409, scimark_benchmark: 1312.5307, usercpu_time_millis: 52200, usercpu_time_millis_testing: 3580, usercpu_time_millis_training: 48620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, f_measure: 0.5209, kappa: 0.256, kb_relative_information_score: 10757.1158, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5218, predictive_accuracy: 0.5214, prior_entropy: 1.5394, recall: 0.5214, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.9416, scimark_benchmark: 1322.496, usercpu_time_millis: 7880, usercpu_time_millis_testing: 480, usercpu_time_millis_training: 7400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.5213, kappa: 0.2558, kb_relative_information_score: 10285.2876, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5213, predictive_accuracy: 0.5226, prior_entropy: 1.5394, recall: 0.5226, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.9464, scimark_benchmark: 1386.5717, usercpu_time_millis: 520, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6686, f_measure: 0.4631, kappa: 0.2118, kb_relative_information_score: 2237.4352, mean_absolute_error: 0.4359, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.503, predictive_accuracy: 0.4634, prior_entropy: 1.5394, recall: 0.4634, relative_absolute_error: 1.0118, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9983, scimark_benchmark: 916.6405, usercpu_time_millis: 270, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4908, f_measure: 0.1283, kappa: -0.0187, kb_relative_information_score: -3191.8997, mean_absolute_error: 0.5172, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.4235, predictive_accuracy: 0.2242, prior_entropy: 1.5394, recall: 0.2242, relative_absolute_error: 1.2004, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.7192, root_relative_squared_error: 1.5495, scimark_benchmark: 899.5042, usercpu_time_millis: 18170, usercpu_time_millis_testing: 18150, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5743, f_measure: 0.3577, kappa: 0.1526, kb_relative_information_score: 4402.2956, mean_absolute_error: 0.417, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.2981, predictive_accuracy: 0.4489, prior_entropy: 1.5394, recall: 0.4489, relative_absolute_error: 0.9679, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9838, scimark_benchmark: 906.4475, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.5068, kappa: 0.2501, kb_relative_information_score: 10132.4126, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5214, predictive_accuracy: 0.5034, prior_entropy: 1.5394, recall: 0.5034, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9755, scimark_benchmark: 912.5006, usercpu_time_millis: 260, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6774, f_measure: 0.5109, kappa: 0.241, kb_relative_information_score: 11034.1252, mean_absolute_error: 0.3758, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5108, predictive_accuracy: 0.5116, prior_entropy: 1.5394, recall: 0.5116, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9718, scimark_benchmark: 1324.8395, usercpu_time_millis: 300, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 270,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs