Task
Supervised Classification on spambase

Supervised Classification on spambase

Task 1807 Supervised Classification spambase 367 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

367 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.9195, kappa: 0.8309, kb_relative_information_score: 17799.4357, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9195, predictive_accuracy: 0.9197, prior_entropy: 0.9674, recall: 0.9197, relative_absolute_error: 0.2419, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.548, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9201, kappa: 0.8322, kb_relative_information_score: 15089.4789, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9202, predictive_accuracy: 0.9204, prior_entropy: 0.9674, recall: 0.9204, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.5389, scimark_benchmark: 972.587, usercpu_time_millis: 2280, usercpu_time_millis_training: 2280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.919, kappa: 0.8301, kb_relative_information_score: 17302.5076, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.919, predictive_accuracy: 0.9191, prior_entropy: 0.9674, recall: 0.9191, relative_absolute_error: 0.2648, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.5106, scimark_benchmark: 851.2074, usercpu_time_millis: 5530, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9304, kappa: 0.8538, kb_relative_information_score: 17571.1874, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9305, predictive_accuracy: 0.9306, prior_entropy: 0.9674, recall: 0.9306, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.4813, scimark_benchmark: 941.6675, usercpu_time_millis: 1680, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9478, kappa: 0.8904, kb_relative_information_score: 17942.9856, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.948, predictive_accuracy: 0.948, prior_entropy: 0.9674, recall: 0.948, relative_absolute_error: 0.2459, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4308, scimark_benchmark: 931.771, usercpu_time_millis: 2570, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 2320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.8111, kappa: 0.6065, kb_relative_information_score: 13679.0682, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.8127, predictive_accuracy: 0.8102, prior_entropy: 0.9674, recall: 0.8102, relative_absolute_error: 0.3974, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8915, scimark_benchmark: 941.3847, usercpu_time_millis: 13540, usercpu_time_millis_testing: 5800, usercpu_time_millis_training: 7740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.8111, kappa: 0.6065, kb_relative_information_score: 13679.0682, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.8127, predictive_accuracy: 0.8102, prior_entropy: 0.9674, recall: 0.8102, relative_absolute_error: 0.3974, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8915, scimark_benchmark: 974.2014, usercpu_time_millis: 26080, usercpu_time_millis_testing: 12770, usercpu_time_millis_training: 13310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 941.3847, usercpu_time_millis: 460, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 974.2014, usercpu_time_millis: 350, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9169, kappa: 0.8261, kb_relative_information_score: 18127.2329, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9169, predictive_accuracy: 0.9169, prior_entropy: 0.9674, recall: 0.9169, relative_absolute_error: 0.2192, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.5386, scimark_benchmark: 938.5498, usercpu_time_millis: 40130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 40070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9478, kappa: 0.8904, kb_relative_information_score: 17942.9856, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.948, predictive_accuracy: 0.948, prior_entropy: 0.9674, recall: 0.948, relative_absolute_error: 0.2459, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4308, scimark_benchmark: 943.1009, usercpu_time_millis: 3020, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 2650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.9195, kappa: 0.8309, kb_relative_information_score: 17799.4357, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9195, predictive_accuracy: 0.9197, prior_entropy: 0.9674, recall: 0.9197, relative_absolute_error: 0.2419, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.548, scimark_benchmark: 819.5729, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9201, kappa: 0.8322, kb_relative_information_score: 15089.4789, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9202, predictive_accuracy: 0.9204, prior_entropy: 0.9674, recall: 0.9204, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.5389, scimark_benchmark: 935.2002, usercpu_time_millis: 1850, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.919, kappa: 0.8301, kb_relative_information_score: 17302.5076, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.919, predictive_accuracy: 0.9191, prior_entropy: 0.9674, recall: 0.9191, relative_absolute_error: 0.2648, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.5106, scimark_benchmark: 936.2574, usercpu_time_millis: 4010, usercpu_time_millis_training: 4010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.8111, kappa: 0.6065, kb_relative_information_score: 13679.0682, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.8127, predictive_accuracy: 0.8102, prior_entropy: 0.9674, recall: 0.8102, relative_absolute_error: 0.3974, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8915, scimark_benchmark: 930.404, usercpu_time_millis: 14450, usercpu_time_millis_testing: 6650, usercpu_time_millis_training: 7800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 938.1282, usercpu_time_millis: 370, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 941.4991, usercpu_time_millis: 370, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9304, kappa: 0.8538, kb_relative_information_score: 17571.1874, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9305, predictive_accuracy: 0.9306, prior_entropy: 0.9674, recall: 0.9306, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.4813, scimark_benchmark: 933.3455, usercpu_time_millis: 1780, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.933, kappa: 0.8593, kb_relative_information_score: 18280.64, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9331, predictive_accuracy: 0.9332, prior_entropy: 0.9674, recall: 0.9332, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.4654, scimark_benchmark: 932.438, usercpu_time_millis: 376330, usercpu_time_millis_testing: 10270, usercpu_time_millis_training: 366060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 944.0133, usercpu_time_millis: 420, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9478, kappa: 0.8904, kb_relative_information_score: 17942.9856, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.948, predictive_accuracy: 0.948, prior_entropy: 0.9674, recall: 0.948, relative_absolute_error: 0.2459, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4308, scimark_benchmark: 936.9595, usercpu_time_millis: 3020, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 2740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9478, kappa: 0.8904, kb_relative_information_score: 18491.6037, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9479, predictive_accuracy: 0.9479, prior_entropy: 0.9674, recall: 0.9479, relative_absolute_error: 0.2184, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.4169, scimark_benchmark: 919.9068, usercpu_time_millis: 285060, usercpu_time_millis_testing: 88960, usercpu_time_millis_training: 196100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9485, kappa: 0.8918, kb_relative_information_score: 18478.412, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9485, predictive_accuracy: 0.9486, prior_entropy: 0.9674, recall: 0.9486, relative_absolute_error: 0.2191, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4186, scimark_benchmark: 941.4991, usercpu_time_millis: 99670, usercpu_time_millis_testing: 30140, usercpu_time_millis_training: 69530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9471, kappa: 0.889, kb_relative_information_score: 18475.7492, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9472, predictive_accuracy: 0.9472, prior_entropy: 0.9674, recall: 0.9472, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.4207, scimark_benchmark: 944.235, usercpu_time_millis: 56400, usercpu_time_millis_testing: 18260, usercpu_time_millis_training: 38140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9464, kappa: 0.8875, kb_relative_information_score: 18435.4362, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9465, predictive_accuracy: 0.9465, prior_entropy: 0.9674, recall: 0.9465, relative_absolute_error: 0.2196, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.4263, scimark_benchmark: 930.0399, usercpu_time_millis: 19040, usercpu_time_millis_testing: 3160, usercpu_time_millis_training: 15880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9458, kappa: 0.8863, kb_relative_information_score: 18433.9784, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9459, predictive_accuracy: 0.9459, prior_entropy: 0.9674, recall: 0.9459, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.4346, scimark_benchmark: 894.7131, usercpu_time_millis: 10740, usercpu_time_millis_testing: 1430, usercpu_time_millis_training: 9310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.914, kappa: 0.8193, kb_relative_information_score: 17560.4698, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9142, predictive_accuracy: 0.9144, prior_entropy: 0.9674, recall: 0.9144, relative_absolute_error: 0.2473, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.5222, scimark_benchmark: 926.5859, usercpu_time_millis: 560, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.914, kappa: 0.8193, kb_relative_information_score: 17560.4698, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9142, predictive_accuracy: 0.9144, prior_entropy: 0.9674, recall: 0.9144, relative_absolute_error: 0.2473, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.5222, scimark_benchmark: 929.0296, usercpu_time_millis: 660, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.914, kappa: 0.8193, kb_relative_information_score: 17560.4698, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9142, predictive_accuracy: 0.9144, prior_entropy: 0.9674, recall: 0.9144, relative_absolute_error: 0.2473, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.5222, scimark_benchmark: 894.7131, usercpu_time_millis: 640, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.914, kappa: 0.8193, kb_relative_information_score: 17560.4698, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9142, predictive_accuracy: 0.9144, prior_entropy: 0.9674, recall: 0.9144, relative_absolute_error: 0.2473, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.5222, scimark_benchmark: 926.5859, usercpu_time_millis: 520, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9153, kappa: 0.8218, kb_relative_information_score: 17456.7773, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9157, predictive_accuracy: 0.9157, prior_entropy: 0.9674, recall: 0.9157, relative_absolute_error: 0.2522, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5258, scimark_benchmark: 929.0296, usercpu_time_millis: 500, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.807, kappa: 0.5975, kb_relative_information_score: 10364.9876, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.8081, predictive_accuracy: 0.8063, prior_entropy: 0.9674, recall: 0.8063, relative_absolute_error: 0.5774, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.7534, scimark_benchmark: 929.0296, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9246, kappa: 0.8415, kb_relative_information_score: 19197.0067, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9252, predictive_accuracy: 0.9251, prior_entropy: 0.9674, recall: 0.9251, relative_absolute_error: 0.164, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2554, root_relative_squared_error: 0.5228, scimark_benchmark: 936.1714, usercpu_time_millis: 7820, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 7790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9193, kappa: 0.8302, kb_relative_information_score: 18879.3049, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9202, predictive_accuracy: 0.9199, prior_entropy: 0.9674, recall: 0.9199, relative_absolute_error: 0.1779, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.5453, scimark_benchmark: 938.3115, usercpu_time_millis: 3770, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.8992, kappa: 0.7883, kb_relative_information_score: 17901.2493, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.8992, predictive_accuracy: 0.8995, prior_entropy: 0.9674, recall: 0.8995, relative_absolute_error: 0.2192, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.6024, scimark_benchmark: 938.3115, usercpu_time_millis: 1950, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.8829, kappa: 0.7543, kb_relative_information_score: 17039.2662, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.8828, predictive_accuracy: 0.8832, prior_entropy: 0.9674, recall: 0.8832, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3152, root_relative_squared_error: 0.6451, scimark_benchmark: 938.3115, usercpu_time_millis: 960, usercpu_time_millis_training: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.8456, kappa: 0.6754, kb_relative_information_score: 14793.7272, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.8456, predictive_accuracy: 0.8464, prior_entropy: 0.9674, recall: 0.8464, relative_absolute_error: 0.3541, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7511, scimark_benchmark: 935.6052, usercpu_time_millis: 640, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4573, kb_relative_information_score: 3642.5677, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2846, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.9149, kappa: 0.8215, kb_relative_information_score: 18098.2499, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9148, predictive_accuracy: 0.9149, prior_entropy: 0.9674, recall: 0.9149, relative_absolute_error: 0.2211, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.5714, scimark_benchmark: 926.5859, usercpu_time_millis: 510, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9348, kappa: 0.8632, kb_relative_information_score: 18065.1347, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9348, predictive_accuracy: 0.9349, prior_entropy: 0.9674, recall: 0.9349, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.4677, scimark_benchmark: 933.0918, usercpu_time_millis: 89570, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 89540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8307, kappa: 0.6416, kb_relative_information_score: 8833.7256, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.8394, predictive_accuracy: 0.8352, prior_entropy: 0.9674, recall: 0.8352, relative_absolute_error: 0.6627, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.743, scimark_benchmark: 931.7994, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.9195, kappa: 0.8309, kb_relative_information_score: 17799.4357, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9195, predictive_accuracy: 0.9197, prior_entropy: 0.9674, recall: 0.9197, relative_absolute_error: 0.2419, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.548, scimark_benchmark: 899.1108, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9201, kappa: 0.8322, kb_relative_information_score: 15089.4789, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9202, predictive_accuracy: 0.9204, prior_entropy: 0.9674, recall: 0.9204, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.5389, scimark_benchmark: 934.1885, usercpu_time_millis: 1810, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.8111, kappa: 0.6065, kb_relative_information_score: 13679.0682, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.8127, predictive_accuracy: 0.8102, prior_entropy: 0.9674, recall: 0.8102, relative_absolute_error: 0.3974, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8915, scimark_benchmark: 928.8135, usercpu_time_millis: 8700, usercpu_time_millis_testing: 2840, usercpu_time_millis_training: 5860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.8111, kappa: 0.6065, kb_relative_information_score: 13679.0682, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.8127, predictive_accuracy: 0.8102, prior_entropy: 0.9674, recall: 0.8102, relative_absolute_error: 0.3974, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8915, scimark_benchmark: 944.5341, usercpu_time_millis: 13610, usercpu_time_millis_testing: 5980, usercpu_time_millis_training: 7630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.8989, kappa: 0.7871, kb_relative_information_score: 17974.648, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.8997, predictive_accuracy: 0.8996, prior_entropy: 0.9674, recall: 0.8996, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.6113, scimark_benchmark: 938.838, usercpu_time_millis: 140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 938.838, usercpu_time_millis: 360, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 945.0194, usercpu_time_millis: 320, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 945.0194, usercpu_time_millis: 320, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 938.838, usercpu_time_millis: 320, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9304, kappa: 0.8538, kb_relative_information_score: 17571.1874, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9305, predictive_accuracy: 0.9306, prior_entropy: 0.9674, recall: 0.9306, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.4813, scimark_benchmark: 946.9304, usercpu_time_millis: 1790, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 879.4299, usercpu_time_millis: 380, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9169, kappa: 0.8261, kb_relative_information_score: 18127.2329, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9169, predictive_accuracy: 0.9169, prior_entropy: 0.9674, recall: 0.9169, relative_absolute_error: 0.2192, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.5386, scimark_benchmark: 946.9304, usercpu_time_millis: 43140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 43080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9478, kappa: 0.8904, kb_relative_information_score: 17942.9856, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.948, predictive_accuracy: 0.948, prior_entropy: 0.9674, recall: 0.948, relative_absolute_error: 0.2459, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4308, scimark_benchmark: 935.627, usercpu_time_millis: 3100, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 2740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.9195, kappa: 0.8309, kb_relative_information_score: 17799.4357, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9195, predictive_accuracy: 0.9197, prior_entropy: 0.9674, recall: 0.9197, relative_absolute_error: 0.2419, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.548, scimark_benchmark: 946.9304, usercpu_time_millis: 240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.8111, kappa: 0.6065, kb_relative_information_score: 13679.0682, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.8127, predictive_accuracy: 0.8102, prior_entropy: 0.9674, recall: 0.8102, relative_absolute_error: 0.3974, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8915, scimark_benchmark: 906.4475, usercpu_time_millis: 8730, usercpu_time_millis_testing: 3160, usercpu_time_millis_training: 5570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 1346.2927, usercpu_time_millis: 270, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.8989, kappa: 0.7871, kb_relative_information_score: 17974.648, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.8997, predictive_accuracy: 0.8996, prior_entropy: 0.9674, recall: 0.8996, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.6113, scimark_benchmark: 1295.609, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 1318.6467, usercpu_time_millis: 260, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 1325.7874, usercpu_time_millis: 220, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9169, kappa: 0.8261, kb_relative_information_score: 18127.2329, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9169, predictive_accuracy: 0.9169, prior_entropy: 0.9674, recall: 0.9169, relative_absolute_error: 0.2192, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.5386, scimark_benchmark: 1332.9478, usercpu_time_millis: 50050, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 49890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.9195, kappa: 0.8309, kb_relative_information_score: 17799.4357, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9195, predictive_accuracy: 0.9197, prior_entropy: 0.9674, recall: 0.9197, relative_absolute_error: 0.2419, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.548, scimark_benchmark: 1324.9519, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.8111, kappa: 0.6065, kb_relative_information_score: 13679.0682, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.8127, predictive_accuracy: 0.8102, prior_entropy: 0.9674, recall: 0.8102, relative_absolute_error: 0.3974, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8915, scimark_benchmark: 1335.7098, usercpu_time_millis: 17260, usercpu_time_millis_testing: 7800, usercpu_time_millis_training: 9460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 1336.0954, usercpu_time_millis: 230, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.8111, kappa: 0.6065, kb_relative_information_score: 13679.0682, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.8127, predictive_accuracy: 0.8102, prior_entropy: 0.9674, recall: 0.8102, relative_absolute_error: 0.3974, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8915, scimark_benchmark: 1346.2927, usercpu_time_millis: 14260, usercpu_time_millis_testing: 6130, usercpu_time_millis_training: 8130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 1362.9924, usercpu_time_millis: 220, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 1346.2927, usercpu_time_millis: 250, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9478, kappa: 0.8904, kb_relative_information_score: 17942.9856, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.948, predictive_accuracy: 0.948, prior_entropy: 0.9674, recall: 0.948, relative_absolute_error: 0.2459, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4308, scimark_benchmark: 1340.9446, usercpu_time_millis: 2960, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 2500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 1303.5632, usercpu_time_millis: 230, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9478, kappa: 0.8904, kb_relative_information_score: 17942.9856, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.948, predictive_accuracy: 0.948, prior_entropy: 0.9674, recall: 0.948, relative_absolute_error: 0.2459, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4308, scimark_benchmark: 1332.9478, usercpu_time_millis: 2350, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 2120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 930.5999, usercpu_time_millis: 320, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 1325.8468, usercpu_time_millis: 210, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 1324.8408, usercpu_time_millis: 250, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 1324.7884, usercpu_time_millis: 270, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9304, kappa: 0.8538, kb_relative_information_score: 17571.1874, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9305, predictive_accuracy: 0.9306, prior_entropy: 0.9674, recall: 0.9306, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.4813, scimark_benchmark: 1325.8468, usercpu_time_millis: 1680, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9478, kappa: 0.8904, kb_relative_information_score: 17942.9856, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.948, predictive_accuracy: 0.948, prior_entropy: 0.9674, recall: 0.948, relative_absolute_error: 0.2459, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4308, scimark_benchmark: 1342.6744, usercpu_time_millis: 2560, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 2280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.8111, kappa: 0.6065, kb_relative_information_score: 13679.0682, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.8127, predictive_accuracy: 0.8102, prior_entropy: 0.9674, recall: 0.8102, relative_absolute_error: 0.3974, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8915, scimark_benchmark: 1317.5857, usercpu_time_millis: 12530, usercpu_time_millis_testing: 5450, usercpu_time_millis_training: 7080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9478, kappa: 0.8904, kb_relative_information_score: 17942.9856, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.948, predictive_accuracy: 0.948, prior_entropy: 0.9674, recall: 0.948, relative_absolute_error: 0.2459, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4308, scimark_benchmark: 1317.2327, usercpu_time_millis: 2550, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 2270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.9195, kappa: 0.8309, kb_relative_information_score: 17799.4357, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9195, predictive_accuracy: 0.9197, prior_entropy: 0.9674, recall: 0.9197, relative_absolute_error: 0.2419, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.548, scimark_benchmark: 1310.3168, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.8111, kappa: 0.6065, kb_relative_information_score: 13679.0682, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.8127, predictive_accuracy: 0.8102, prior_entropy: 0.9674, recall: 0.8102, relative_absolute_error: 0.3974, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8915, scimark_benchmark: 1324.7884, usercpu_time_millis: 15780, usercpu_time_millis_testing: 7380, usercpu_time_millis_training: 8400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.8989, kappa: 0.7871, kb_relative_information_score: 17974.648, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.8997, predictive_accuracy: 0.8996, prior_entropy: 0.9674, recall: 0.8996, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.6113, scimark_benchmark: 1324.7884, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 1310.6554, usercpu_time_millis: 250, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 1316.5668, usercpu_time_millis: 260, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.933, kappa: 0.8593, kb_relative_information_score: 18280.5274, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9331, predictive_accuracy: 0.9332, prior_entropy: 0.9674, recall: 0.9332, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.4655, scimark_benchmark: 1393.8432, usercpu_time_millis: 138670, usercpu_time_millis_testing: 8010, usercpu_time_millis_training: 130660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 1354.5533, usercpu_time_millis: 250, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9169, kappa: 0.8261, kb_relative_information_score: 18127.2329, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9169, predictive_accuracy: 0.9169, prior_entropy: 0.9674, recall: 0.9169, relative_absolute_error: 0.2192, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.5386, scimark_benchmark: 1343.3311, usercpu_time_millis: 49290, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 49150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9201, kappa: 0.8322, kb_relative_information_score: 15089.4789, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9202, predictive_accuracy: 0.9204, prior_entropy: 0.9674, recall: 0.9204, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.5389, scimark_benchmark: 1358.6198, usercpu_time_millis: 1750, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.8111, kappa: 0.6065, kb_relative_information_score: 13679.0682, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.8127, predictive_accuracy: 0.8102, prior_entropy: 0.9674, recall: 0.8102, relative_absolute_error: 0.3974, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8915, scimark_benchmark: 1309.4708, usercpu_time_millis: 18180, usercpu_time_millis_testing: 8190, usercpu_time_millis_training: 9990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.8989, kappa: 0.7871, kb_relative_information_score: 17974.648, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.8997, predictive_accuracy: 0.8996, prior_entropy: 0.9674, recall: 0.8996, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.6113, scimark_benchmark: 1342.2845, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 1325.8468, usercpu_time_millis: 220, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.933, kappa: 0.8593, kb_relative_information_score: 18280.5274, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9331, predictive_accuracy: 0.9332, prior_entropy: 0.9674, recall: 0.9332, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.4655, scimark_benchmark: 1338.5214, usercpu_time_millis: 136280, usercpu_time_millis_testing: 8590, usercpu_time_millis_training: 127690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 1337.1928, usercpu_time_millis: 230, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9304, kappa: 0.8538, kb_relative_information_score: 17571.1874, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9305, predictive_accuracy: 0.9306, prior_entropy: 0.9674, recall: 0.9306, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.4813, scimark_benchmark: 1337.3324, usercpu_time_millis: 1600, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9288, kappa: 0.8504, kb_relative_information_score: 19287.3189, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9289, predictive_accuracy: 0.929, prior_entropy: 0.9674, recall: 0.929, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4926, scimark_benchmark: 1318.4315, usercpu_time_millis: 220, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9169, kappa: 0.8261, kb_relative_information_score: 18127.2329, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9169, predictive_accuracy: 0.9169, prior_entropy: 0.9674, recall: 0.9169, relative_absolute_error: 0.2192, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.5386, scimark_benchmark: 1338.5214, usercpu_time_millis: 41860, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 41720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9169, kappa: 0.8261, kb_relative_information_score: 18127.2329, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.9169, predictive_accuracy: 0.9169, prior_entropy: 0.9674, recall: 0.9169, relative_absolute_error: 0.2192, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.5386, scimark_benchmark: 1322.1893, usercpu_time_millis: 40820, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 40680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7889, kappa: 0.5543, kb_relative_information_score: 8505.1469, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4776, number_of_instances: 23005, precision: 0.7899, predictive_accuracy: 0.7917, prior_entropy: 0.9674, recall: 0.7917, relative_absolute_error: 0.6685, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.819, scimark_benchmark: 1320.1171, usercpu_time_millis: 189860, usercpu_time_millis_testing: 189860,

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