OpenML
Supervised Classification on spambase

Supervised Classification on spambase

Task 1923 Supervised Classification spambase 215 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.9275, kappa: 0.8478, kb_relative_information_score: 36428.7842, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9275, predictive_accuracy: 0.9277, prior_entropy: 0.9674, recall: 0.9277, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.5222, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9197, kappa: 0.8316, kb_relative_information_score: 29946.9751, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9197, predictive_accuracy: 0.9199, prior_entropy: 0.9674, recall: 0.9199, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.5377, scimark_benchmark: 972.587, usercpu_time_millis: 2200, usercpu_time_millis_training: 2200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9211, kappa: 0.8346, kb_relative_information_score: 34901.3691, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9211, predictive_accuracy: 0.9213, prior_entropy: 0.9674, recall: 0.9213, relative_absolute_error: 0.2583, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2461, root_relative_squared_error: 0.5035, scimark_benchmark: 851.2074, usercpu_time_millis: 5430, usercpu_time_millis_training: 5430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.8403, kappa: 0.6666, kb_relative_information_score: 30275.7485, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.841, predictive_accuracy: 0.8399, prior_entropy: 0.9674, recall: 0.8399, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8188, scimark_benchmark: 916.0735, usercpu_time_millis: 8830, usercpu_time_millis_testing: 2980, usercpu_time_millis_training: 5850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.8403, kappa: 0.6666, kb_relative_information_score: 30275.7485, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.841, predictive_accuracy: 0.8399, prior_entropy: 0.9674, recall: 0.8399, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8188, scimark_benchmark: 941.3142, usercpu_time_millis: 8350, usercpu_time_millis_testing: 3660, usercpu_time_millis_training: 4690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9329, kappa: 0.8591, kb_relative_information_score: 38959.8037, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.933, predictive_accuracy: 0.9331, prior_entropy: 0.9674, recall: 0.9331, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4775, scimark_benchmark: 941.6675, usercpu_time_millis: 350, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9411, kappa: 0.8763, kb_relative_information_score: 36564.1813, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9411, predictive_accuracy: 0.9412, prior_entropy: 0.9674, recall: 0.9412, relative_absolute_error: 0.2245, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.4433, scimark_benchmark: 941.6675, usercpu_time_millis: 1770, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9385, kappa: 0.871, kb_relative_information_score: 37335.8886, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9386, predictive_accuracy: 0.9387, prior_entropy: 0.9674, recall: 0.9387, relative_absolute_error: 0.2024, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.443, scimark_benchmark: 943.8235, usercpu_time_millis: 337610, usercpu_time_millis_testing: 11850, usercpu_time_millis_training: 325760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9329, kappa: 0.8591, kb_relative_information_score: 38959.8037, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.933, predictive_accuracy: 0.9331, prior_entropy: 0.9674, recall: 0.9331, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4775, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9563, kappa: 0.9083, kb_relative_information_score: 37314.2828, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9564, predictive_accuracy: 0.9564, prior_entropy: 0.9674, recall: 0.9564, relative_absolute_error: 0.212, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.3952, scimark_benchmark: 931.771, usercpu_time_millis: 2690, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 2330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.8403, kappa: 0.6666, kb_relative_information_score: 30275.7485, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.841, predictive_accuracy: 0.8399, prior_entropy: 0.9674, recall: 0.8399, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8188, scimark_benchmark: 937.5117, usercpu_time_millis: 11150, usercpu_time_millis_testing: 4400, usercpu_time_millis_training: 6750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9329, kappa: 0.8591, kb_relative_information_score: 38959.8037, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.933, predictive_accuracy: 0.9331, prior_entropy: 0.9674, recall: 0.9331, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4775, scimark_benchmark: 941.3847, usercpu_time_millis: 310, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9329, kappa: 0.8591, kb_relative_information_score: 38959.8037, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.933, predictive_accuracy: 0.9331, prior_entropy: 0.9674, recall: 0.9331, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4775, scimark_benchmark: 974.2014, usercpu_time_millis: 200, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.93, kappa: 0.8533, kb_relative_information_score: 37691.8387, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.93, predictive_accuracy: 0.93, prior_entropy: 0.9674, recall: 0.93, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.4939, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9563, kappa: 0.9083, kb_relative_information_score: 37314.2828, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9564, predictive_accuracy: 0.9564, prior_entropy: 0.9674, recall: 0.9564, relative_absolute_error: 0.212, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.3952, scimark_benchmark: 943.1009, usercpu_time_millis: 3080, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 2710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.9275, kappa: 0.8478, kb_relative_information_score: 36428.7842, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9275, predictive_accuracy: 0.9277, prior_entropy: 0.9674, recall: 0.9277, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.5222, scimark_benchmark: 819.5729, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9197, kappa: 0.8316, kb_relative_information_score: 29946.9751, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9197, predictive_accuracy: 0.9199, prior_entropy: 0.9674, recall: 0.9199, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.5377, scimark_benchmark: 935.2002, usercpu_time_millis: 1870, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9211, kappa: 0.8346, kb_relative_information_score: 34901.3691, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9211, predictive_accuracy: 0.9213, prior_entropy: 0.9674, recall: 0.9213, relative_absolute_error: 0.2583, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2461, root_relative_squared_error: 0.5035, scimark_benchmark: 608.4057, usercpu_time_millis: 5910, usercpu_time_millis_training: 5910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.8403, kappa: 0.6666, kb_relative_information_score: 30275.7485, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.841, predictive_accuracy: 0.8399, prior_entropy: 0.9674, recall: 0.8399, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8188, scimark_benchmark: 908.9569, usercpu_time_millis: 17860, usercpu_time_millis_testing: 8360, usercpu_time_millis_training: 9500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.8403, kappa: 0.6666, kb_relative_information_score: 30275.7485, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.841, predictive_accuracy: 0.8399, prior_entropy: 0.9674, recall: 0.8399, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8188, scimark_benchmark: 938.1282, usercpu_time_millis: 8750, usercpu_time_millis_testing: 3080, usercpu_time_millis_training: 5670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.8977, kappa: 0.7846, kb_relative_information_score: 35926.7768, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.8985, predictive_accuracy: 0.8985, prior_entropy: 0.9674, recall: 0.8985, relative_absolute_error: 0.2158, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.6134, scimark_benchmark: 938.1282, usercpu_time_millis: 160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9329, kappa: 0.8591, kb_relative_information_score: 38959.8037, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.933, predictive_accuracy: 0.9331, prior_entropy: 0.9674, recall: 0.9331, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4775, scimark_benchmark: 938.1282, usercpu_time_millis: 410, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9329, kappa: 0.8591, kb_relative_information_score: 38959.8037, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.933, predictive_accuracy: 0.9331, prior_entropy: 0.9674, recall: 0.9331, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4775, scimark_benchmark: 938.1282, usercpu_time_millis: 350, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9329, kappa: 0.8591, kb_relative_information_score: 38959.8037, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.933, predictive_accuracy: 0.9331, prior_entropy: 0.9674, recall: 0.9331, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4775, scimark_benchmark: 930.404, usercpu_time_millis: 330, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9411, kappa: 0.8763, kb_relative_information_score: 36564.1813, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9411, predictive_accuracy: 0.9412, prior_entropy: 0.9674, recall: 0.9412, relative_absolute_error: 0.2245, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.4433, scimark_benchmark: 941.4991, usercpu_time_millis: 1700, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9385, kappa: 0.871, kb_relative_information_score: 37335.8886, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9386, predictive_accuracy: 0.9387, prior_entropy: 0.9674, recall: 0.9387, relative_absolute_error: 0.2024, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.443, scimark_benchmark: 917.5013, usercpu_time_millis: 326290, usercpu_time_millis_testing: 10560, usercpu_time_millis_training: 315730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9329, kappa: 0.8591, kb_relative_information_score: 38959.8037, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.933, predictive_accuracy: 0.9331, prior_entropy: 0.9674, recall: 0.9331, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4775, scimark_benchmark: 936.9595, usercpu_time_millis: 360, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.93, kappa: 0.8533, kb_relative_information_score: 37691.8387, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.93, predictive_accuracy: 0.93, prior_entropy: 0.9674, recall: 0.93, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.4939, scimark_benchmark: 941.3057, usercpu_time_millis: 41300, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 41240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9563, kappa: 0.9083, kb_relative_information_score: 37314.2828, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9564, predictive_accuracy: 0.9564, prior_entropy: 0.9674, recall: 0.9564, relative_absolute_error: 0.212, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.3952, scimark_benchmark: 901.4991, usercpu_time_millis: 2830, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 2510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9562, kappa: 0.9081, kb_relative_information_score: 38218.7254, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9563, predictive_accuracy: 0.9563, prior_entropy: 0.9674, recall: 0.9563, relative_absolute_error: 0.1892, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.3852, scimark_benchmark: 936.2727, usercpu_time_millis: 214090, usercpu_time_millis_testing: 56810, usercpu_time_millis_training: 157280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9559, kappa: 0.9075, kb_relative_information_score: 38199.696, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.956, predictive_accuracy: 0.956, prior_entropy: 0.9674, recall: 0.956, relative_absolute_error: 0.1895, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.3864, scimark_benchmark: 931.7096, usercpu_time_millis: 93270, usercpu_time_millis_testing: 27910, usercpu_time_millis_training: 65360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9552, kappa: 0.906, kb_relative_information_score: 38186.3638, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9552, predictive_accuracy: 0.9553, prior_entropy: 0.9674, recall: 0.9553, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.3887, scimark_benchmark: 922.613, usercpu_time_millis: 59310, usercpu_time_millis_testing: 17360, usercpu_time_millis_training: 41950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9539, kappa: 0.9033, kb_relative_information_score: 38152.0376, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9539, predictive_accuracy: 0.954, prior_entropy: 0.9674, recall: 0.954, relative_absolute_error: 0.1895, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.3934, scimark_benchmark: 896.2181, usercpu_time_millis: 19400, usercpu_time_millis_testing: 2890, usercpu_time_millis_training: 16510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9512, kappa: 0.8977, kb_relative_information_score: 38068.7404, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9513, predictive_accuracy: 0.9513, prior_entropy: 0.9674, recall: 0.9513, relative_absolute_error: 0.1899, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.4033, scimark_benchmark: 936.7184, usercpu_time_millis: 10850, usercpu_time_millis_testing: 1450, usercpu_time_millis_training: 9400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9177, kappa: 0.827, kb_relative_information_score: 35088.2607, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9182, predictive_accuracy: 0.9182, prior_entropy: 0.9674, recall: 0.9182, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.5169, scimark_benchmark: 929.0296, usercpu_time_millis: 560, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9177, kappa: 0.827, kb_relative_information_score: 35088.2607, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9182, predictive_accuracy: 0.9182, prior_entropy: 0.9674, recall: 0.9182, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.5169, scimark_benchmark: 929.0296, usercpu_time_millis: 570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 560,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9385, kappa: 0.871, kb_relative_information_score: 37335.9191, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9386, predictive_accuracy: 0.9387, prior_entropy: 0.9674, recall: 0.9387, relative_absolute_error: 0.2024, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.443, scimark_benchmark: 1322.3407, usercpu_time_millis: 219100, usercpu_time_millis_testing: 8750, usercpu_time_millis_training: 210350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.8403, kappa: 0.6666, kb_relative_information_score: 30275.7485, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.841, predictive_accuracy: 0.8399, prior_entropy: 0.9674, recall: 0.8399, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8188, scimark_benchmark: 930.5999, usercpu_time_millis: 15200, usercpu_time_millis_testing: 6770, usercpu_time_millis_training: 8430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.8977, kappa: 0.7846, kb_relative_information_score: 35926.7768, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.8985, predictive_accuracy: 0.8985, prior_entropy: 0.9674, recall: 0.8985, relative_absolute_error: 0.2158, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.6134, scimark_benchmark: 930.5999, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9329, kappa: 0.8591, kb_relative_information_score: 38959.8037, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.933, predictive_accuracy: 0.9331, prior_entropy: 0.9674, recall: 0.9331, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4775, scimark_benchmark: 1338.5214, usercpu_time_millis: 230, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9329, kappa: 0.8591, kb_relative_information_score: 38959.8037, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.933, predictive_accuracy: 0.9331, prior_entropy: 0.9674, recall: 0.9331, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4775, scimark_benchmark: 1338.5214, usercpu_time_millis: 220, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9197, kappa: 0.8316, kb_relative_information_score: 29946.9751, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9197, predictive_accuracy: 0.9199, prior_entropy: 0.9674, recall: 0.9199, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.5377, scimark_benchmark: 1274.7011, usercpu_time_millis: 1520, usercpu_time_millis_training: 1520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9385, kappa: 0.871, kb_relative_information_score: 37335.9191, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9386, predictive_accuracy: 0.9387, prior_entropy: 0.9674, recall: 0.9387, relative_absolute_error: 0.2024, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.443, scimark_benchmark: 1338.1299, usercpu_time_millis: 211010, usercpu_time_millis_testing: 10290, usercpu_time_millis_training: 200720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.8403, kappa: 0.6666, kb_relative_information_score: 30275.7485, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.841, predictive_accuracy: 0.8399, prior_entropy: 0.9674, recall: 0.8399, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8188, scimark_benchmark: 1313.11, usercpu_time_millis: 10700, usercpu_time_millis_testing: 4890, usercpu_time_millis_training: 5810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.8977, kappa: 0.7846, kb_relative_information_score: 35926.7768, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.8985, predictive_accuracy: 0.8985, prior_entropy: 0.9674, recall: 0.8985, relative_absolute_error: 0.2158, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.6134, scimark_benchmark: 1324.7884, usercpu_time_millis: 120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9329, kappa: 0.8591, kb_relative_information_score: 38959.8037, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.933, predictive_accuracy: 0.9331, prior_entropy: 0.9674, recall: 0.9331, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4775, scimark_benchmark: 1337.9552, usercpu_time_millis: 240, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9329, kappa: 0.8591, kb_relative_information_score: 38959.8037, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.933, predictive_accuracy: 0.9331, prior_entropy: 0.9674, recall: 0.9331, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4775, scimark_benchmark: 1306.9281, usercpu_time_millis: 200, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.8403, kappa: 0.6666, kb_relative_information_score: 30275.7485, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.841, predictive_accuracy: 0.8399, prior_entropy: 0.9674, recall: 0.8399, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8188, scimark_benchmark: 1337.3324, usercpu_time_millis: 16410, usercpu_time_millis_testing: 7180, usercpu_time_millis_training: 9230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.8977, kappa: 0.7846, kb_relative_information_score: 35926.7768, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.8985, predictive_accuracy: 0.8985, prior_entropy: 0.9674, recall: 0.8985, relative_absolute_error: 0.2158, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.6134, scimark_benchmark: 1325.4787, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.93, kappa: 0.8533, kb_relative_information_score: 37691.8387, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.93, predictive_accuracy: 0.93, prior_entropy: 0.9674, recall: 0.93, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.4939, scimark_benchmark: 1336.5541, usercpu_time_millis: 44110, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 43970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9329, kappa: 0.8591, kb_relative_information_score: 38959.8037, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.933, predictive_accuracy: 0.9331, prior_entropy: 0.9674, recall: 0.9331, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4775, scimark_benchmark: 1326.2019, usercpu_time_millis: 220, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9281, kappa: 0.8491, kb_relative_information_score: 35147.2332, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9283, predictive_accuracy: 0.9284, prior_entropy: 0.9674, recall: 0.9284, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.4959, scimark_benchmark: 1327.5201, usercpu_time_millis: 117390, usercpu_time_millis_testing: 3510, usercpu_time_millis_training: 113880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.9275, kappa: 0.8478, kb_relative_information_score: 36428.7842, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9275, predictive_accuracy: 0.9277, prior_entropy: 0.9674, recall: 0.9277, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.5222, scimark_benchmark: 1310.3168, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.9318, kappa: 0.8572, kb_relative_information_score: 38735.3554, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9318, predictive_accuracy: 0.9318, prior_entropy: 0.9674, recall: 0.9318, relative_absolute_error: 0.159, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.5073, scimark_benchmark: 1321.4771, usercpu_time_millis: 2680, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 2290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.9354, kappa: 0.8644, kb_relative_information_score: 38239.7426, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9354, predictive_accuracy: 0.9355, prior_entropy: 0.9674, recall: 0.9355, relative_absolute_error: 0.1774, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.5017, scimark_benchmark: 1322.0065, usercpu_time_millis: 550, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9211, kappa: 0.8346, kb_relative_information_score: 34901.3691, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9211, predictive_accuracy: 0.9213, prior_entropy: 0.9674, recall: 0.9213, relative_absolute_error: 0.2583, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2461, root_relative_squared_error: 0.5035, scimark_benchmark: 1317.7919, usercpu_time_millis: 3560, usercpu_time_millis_training: 3560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9329, kappa: 0.8591, kb_relative_information_score: 38959.8037, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.933, predictive_accuracy: 0.9331, prior_entropy: 0.9674, recall: 0.9331, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4775, scimark_benchmark: 1336.4564, usercpu_time_millis: 200, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9329, kappa: 0.8591, kb_relative_information_score: 38959.8037, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.933, predictive_accuracy: 0.9331, prior_entropy: 0.9674, recall: 0.9331, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4775, scimark_benchmark: 1299.6719, usercpu_time_millis: 210, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9329, kappa: 0.8591, kb_relative_information_score: 38959.8037, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.933, predictive_accuracy: 0.9331, prior_entropy: 0.9674, recall: 0.9331, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4775, scimark_benchmark: 1342.6744, usercpu_time_millis: 230, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9329, kappa: 0.8591, kb_relative_information_score: 38959.8037, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.933, predictive_accuracy: 0.9331, prior_entropy: 0.9674, recall: 0.9331, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4775, scimark_benchmark: 1364.5528, usercpu_time_millis: 230, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9411, kappa: 0.8763, kb_relative_information_score: 36564.1813, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9411, predictive_accuracy: 0.9412, prior_entropy: 0.9674, recall: 0.9412, relative_absolute_error: 0.2245, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.4433, scimark_benchmark: 1320.1171, usercpu_time_millis: 1450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9329, kappa: 0.8591, kb_relative_information_score: 38959.8037, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.933, predictive_accuracy: 0.9331, prior_entropy: 0.9674, recall: 0.9331, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4775, scimark_benchmark: 1347.7267, usercpu_time_millis: 220, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9563, kappa: 0.9083, kb_relative_information_score: 37314.2828, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9564, predictive_accuracy: 0.9564, prior_entropy: 0.9674, recall: 0.9564, relative_absolute_error: 0.212, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.3952, scimark_benchmark: 1332.7986, usercpu_time_millis: 2410, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 2020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.9275, kappa: 0.8478, kb_relative_information_score: 36428.7842, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9275, predictive_accuracy: 0.9277, prior_entropy: 0.9674, recall: 0.9277, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.5222, scimark_benchmark: 1349.9643, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.8403, kappa: 0.6666, kb_relative_information_score: 30275.7485, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.841, predictive_accuracy: 0.8399, prior_entropy: 0.9674, recall: 0.8399, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8188, scimark_benchmark: 1299.3719, usercpu_time_millis: 20610, usercpu_time_millis_testing: 9820, usercpu_time_millis_training: 10790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9329, kappa: 0.8591, kb_relative_information_score: 38959.8037, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.933, predictive_accuracy: 0.9331, prior_entropy: 0.9674, recall: 0.9331, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4775, scimark_benchmark: 1327.6367, usercpu_time_millis: 230, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 70,

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