OpenML
Supervised Classification on satimage

Supervised Classification on satimage

Task 2120 Supervised Classification satimage 308 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8457, kappa: 0.8134, kb_relative_information_score: 1708.2863, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8445, predictive_accuracy: 0.8496, prior_entropy: 2.4836, recall: 0.8496, relative_absolute_error: 0.2302, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.5556, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.8009, kappa: 0.7722, kb_relative_information_score: 1590.028, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.7974, predictive_accuracy: 0.8175, prior_entropy: 2.4836, recall: 0.8175, relative_absolute_error: 0.3297, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.5652, scimark_benchmark: 851.2074, usercpu_time_millis: 8390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 8380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8853, kappa: 0.8552, kb_relative_information_score: 1827.2169, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8908, predictive_accuracy: 0.8826, prior_entropy: 2.4836, recall: 0.8826, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.5034, scimark_benchmark: 941.6675, usercpu_time_millis: 920, usercpu_time_millis_testing: 570, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8853, kappa: 0.8552, kb_relative_information_score: 1827.2169, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8908, predictive_accuracy: 0.8826, prior_entropy: 2.4836, recall: 0.8826, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.5034, scimark_benchmark: 938.191, usercpu_time_millis: 450, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8766, kappa: 0.8513, kb_relative_information_score: 1759.6336, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8766, predictive_accuracy: 0.8802, prior_entropy: 2.4836, recall: 0.8802, relative_absolute_error: 0.2259, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.4589, scimark_benchmark: 941.6675, usercpu_time_millis: 1930, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8853, kappa: 0.8552, kb_relative_information_score: 1827.2169, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8908, predictive_accuracy: 0.8826, prior_entropy: 2.4836, recall: 0.8826, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.5034, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9071, kappa: 0.8878, kb_relative_information_score: 1815.4589, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.9072, predictive_accuracy: 0.9095, prior_entropy: 2.4836, recall: 0.9095, relative_absolute_error: 0.2027, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.4096, scimark_benchmark: 931.771, usercpu_time_millis: 3920, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 3620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.8992, kappa: 0.8769, kb_relative_information_score: 1860.3304, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8999, predictive_accuracy: 0.9005, prior_entropy: 2.4836, recall: 0.9005, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.4957, scimark_benchmark: 974.2014, usercpu_time_millis: 27240, usercpu_time_millis_testing: 12930, usercpu_time_millis_training: 14310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8312, kappa: 0.7842, kb_relative_information_score: 1691.1827, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8479, predictive_accuracy: 0.8237, prior_entropy: 2.4836, recall: 0.8237, relative_absolute_error: 0.2207, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.6507, scimark_benchmark: 932.438, usercpu_time_millis: 320, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8853, kappa: 0.8552, kb_relative_information_score: 1827.2169, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8908, predictive_accuracy: 0.8826, prior_entropy: 2.4836, recall: 0.8826, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.5034, scimark_benchmark: 974.2014, usercpu_time_millis: 890, usercpu_time_millis_testing: 660, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.8535, kappa: 0.8203, kb_relative_information_score: 1697.1786, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8531, predictive_accuracy: 0.8548, prior_entropy: 2.4836, recall: 0.8548, relative_absolute_error: 0.2346, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.5413, scimark_benchmark: 936.3373, usercpu_time_millis: 8310, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 7950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9071, kappa: 0.8878, kb_relative_information_score: 1815.4589, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.9072, predictive_accuracy: 0.9095, prior_entropy: 2.4836, recall: 0.9095, relative_absolute_error: 0.2027, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.4096, scimark_benchmark: 943.1009, usercpu_time_millis: 4160, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 3820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8457, kappa: 0.8134, kb_relative_information_score: 1708.2863, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8445, predictive_accuracy: 0.8496, prior_entropy: 2.4836, recall: 0.8496, relative_absolute_error: 0.2302, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.5556, scimark_benchmark: 819.5729, usercpu_time_millis: 280, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.8009, kappa: 0.7722, kb_relative_information_score: 1590.028, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.7974, predictive_accuracy: 0.8175, prior_entropy: 2.4836, recall: 0.8175, relative_absolute_error: 0.3297, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.5652, scimark_benchmark: 944.0133, usercpu_time_millis: 7200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.8992, kappa: 0.8769, kb_relative_information_score: 1860.3304, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8999, predictive_accuracy: 0.9005, prior_entropy: 2.4836, recall: 0.9005, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.4957, scimark_benchmark: 927.2882, usercpu_time_millis: 7270, usercpu_time_millis_testing: 4500, usercpu_time_millis_training: 2770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.8992, kappa: 0.8769, kb_relative_information_score: 1860.3304, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8999, predictive_accuracy: 0.9005, prior_entropy: 2.4836, recall: 0.9005, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.4957, scimark_benchmark: 930.404, usercpu_time_millis: 11310, usercpu_time_millis_testing: 5060, usercpu_time_millis_training: 6250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8853, kappa: 0.8552, kb_relative_information_score: 1827.2169, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8908, predictive_accuracy: 0.8826, prior_entropy: 2.4836, recall: 0.8826, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.5034, scimark_benchmark: 930.404, usercpu_time_millis: 730, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8853, kappa: 0.8552, kb_relative_information_score: 1827.2169, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8908, predictive_accuracy: 0.8826, prior_entropy: 2.4836, recall: 0.8826, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.5034, scimark_benchmark: 938.1282, usercpu_time_millis: 770, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8853, kappa: 0.8552, kb_relative_information_score: 1827.2169, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8908, predictive_accuracy: 0.8826, prior_entropy: 2.4836, recall: 0.8826, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.5034, scimark_benchmark: 938.1282, usercpu_time_millis: 550, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8853, kappa: 0.8552, kb_relative_information_score: 1827.2169, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8908, predictive_accuracy: 0.8826, prior_entropy: 2.4836, recall: 0.8826, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.5034, scimark_benchmark: 941.4991, usercpu_time_millis: 650, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8766, kappa: 0.8513, kb_relative_information_score: 1759.6336, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8766, predictive_accuracy: 0.8802, prior_entropy: 2.4836, recall: 0.8802, relative_absolute_error: 0.2259, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.4589, scimark_benchmark: 941.4991, usercpu_time_millis: 1600, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8853, kappa: 0.8552, kb_relative_information_score: 1827.2169, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8908, predictive_accuracy: 0.8826, prior_entropy: 2.4836, recall: 0.8826, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.5034, scimark_benchmark: 945.6228, usercpu_time_millis: 590, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.8535, kappa: 0.8203, kb_relative_information_score: 1697.1786, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8531, predictive_accuracy: 0.8548, prior_entropy: 2.4836, recall: 0.8548, relative_absolute_error: 0.2346, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.5413, scimark_benchmark: 945.6228, usercpu_time_millis: 8800, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 8440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9071, kappa: 0.8878, kb_relative_information_score: 1815.4589, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.9072, predictive_accuracy: 0.9095, prior_entropy: 2.4836, recall: 0.9095, relative_absolute_error: 0.2027, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.4096, scimark_benchmark: 945.6228, usercpu_time_millis: 4790, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 4360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9131, kappa: 0.8953, kb_relative_information_score: 1830.8934, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.9137, predictive_accuracy: 0.9156, prior_entropy: 2.4836, recall: 0.9156, relative_absolute_error: 0.1928, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.3989, scimark_benchmark: 737.6064, usercpu_time_millis: 348330, usercpu_time_millis_testing: 84520, usercpu_time_millis_training: 263810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.912, kappa: 0.8936, kb_relative_information_score: 1827.9494, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.9122, predictive_accuracy: 0.9142, prior_entropy: 2.4836, recall: 0.9142, relative_absolute_error: 0.1942, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1476, root_relative_squared_error: 0.4016, scimark_benchmark: 859.5223, usercpu_time_millis: 103840, usercpu_time_millis_testing: 22970, usercpu_time_millis_training: 80870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9048, kappa: 0.8854, kb_relative_information_score: 1826.8999, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.9049, predictive_accuracy: 0.9076, prior_entropy: 2.4836, recall: 0.9076, relative_absolute_error: 0.1928, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.404, scimark_benchmark: 899.0468, usercpu_time_millis: 46030, usercpu_time_millis_testing: 7510, usercpu_time_millis_training: 38520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9046, kappa: 0.8854, kb_relative_information_score: 1823.8969, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.9046, predictive_accuracy: 0.9076, prior_entropy: 2.4836, recall: 0.9076, relative_absolute_error: 0.1937, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.4095, scimark_benchmark: 939.0589, usercpu_time_millis: 23950, usercpu_time_millis_testing: 2610, usercpu_time_millis_training: 21340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.8943, kappa: 0.8726, kb_relative_information_score: 1811.0126, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8939, predictive_accuracy: 0.8972, prior_entropy: 2.4836, recall: 0.8972, relative_absolute_error: 0.1975, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.4286, scimark_benchmark: 889.4922, usercpu_time_millis: 12980, usercpu_time_millis_testing: 1190, usercpu_time_millis_training: 11790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.82, kappa: 0.7788, kb_relative_information_score: 1624.9304, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8218, predictive_accuracy: 0.8218, prior_entropy: 2.4836, recall: 0.8218, relative_absolute_error: 0.2854, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.208, root_relative_squared_error: 0.566, scimark_benchmark: 929.0296, usercpu_time_millis: 750, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7066, f_measure: 0.2923, kappa: 0.2713, kb_relative_information_score: 568.8416, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.2299, predictive_accuracy: 0.4404, prior_entropy: 2.4836, recall: 0.4404, relative_absolute_error: 0.825, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.907, scimark_benchmark: 926.5859, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7066, f_measure: 0.2923, kappa: 0.2713, kb_relative_information_score: 568.8416, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.2299, predictive_accuracy: 0.4404, prior_entropy: 2.4836, recall: 0.4404, relative_absolute_error: 0.825, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.907, scimark_benchmark: 938.3115, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7066, f_measure: 0.2923, kappa: 0.2713, kb_relative_information_score: 568.8416, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.2299, predictive_accuracy: 0.4404, prior_entropy: 2.4836, recall: 0.4404, relative_absolute_error: 0.825, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.907, scimark_benchmark: 935.6052, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7066, f_measure: 0.2923, kappa: 0.2713, kb_relative_information_score: 568.8416, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.2299, predictive_accuracy: 0.4404, prior_entropy: 2.4836, recall: 0.4404, relative_absolute_error: 0.825, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.907, scimark_benchmark: 938.3115, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0939, kb_relative_information_score: 245.2498, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.0583, predictive_accuracy: 0.2414, prior_entropy: 2.4836, recall: 0.2414, relative_absolute_error: 0.9364, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.3688, scimark_benchmark: 938.3115, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8853, kappa: 0.8552, kb_relative_information_score: 1827.2169, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8908, predictive_accuracy: 0.8826, prior_entropy: 2.4836, recall: 0.8826, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.5034, scimark_benchmark: 1317.5857, usercpu_time_millis: 370, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9071, kappa: 0.8878, kb_relative_information_score: 1815.4589, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.9072, predictive_accuracy: 0.9095, prior_entropy: 2.4836, recall: 0.9095, relative_absolute_error: 0.2027, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.4096, scimark_benchmark: 1336.0954, usercpu_time_millis: 4680, usercpu_time_millis_testing: 550, usercpu_time_millis_training: 4130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8312, kappa: 0.7842, kb_relative_information_score: 1691.1827, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8479, predictive_accuracy: 0.8237, prior_entropy: 2.4836, recall: 0.8237, relative_absolute_error: 0.2207, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.6507, scimark_benchmark: 1342.8584, usercpu_time_millis: 210, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8853, kappa: 0.8552, kb_relative_information_score: 1827.2169, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8908, predictive_accuracy: 0.8826, prior_entropy: 2.4836, recall: 0.8826, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.5034, scimark_benchmark: 1321.8321, usercpu_time_millis: 330, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8853, kappa: 0.8552, kb_relative_information_score: 1827.2169, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8908, predictive_accuracy: 0.8826, prior_entropy: 2.4836, recall: 0.8826, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.5034, scimark_benchmark: 1319.4538, usercpu_time_millis: 370, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8853, kappa: 0.8552, kb_relative_information_score: 1827.2169, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8908, predictive_accuracy: 0.8826, prior_entropy: 2.4836, recall: 0.8826, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.5034, scimark_benchmark: 1331.4379, usercpu_time_millis: 400, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.8992, kappa: 0.8769, kb_relative_information_score: 1860.3304, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8999, predictive_accuracy: 0.9005, prior_entropy: 2.4836, recall: 0.9005, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.4957, scimark_benchmark: 1350.7721, usercpu_time_millis: 13050, usercpu_time_millis_testing: 6730, usercpu_time_millis_training: 6320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8312, kappa: 0.7842, kb_relative_information_score: 1691.1827, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8479, predictive_accuracy: 0.8237, prior_entropy: 2.4836, recall: 0.8237, relative_absolute_error: 0.2207, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.6507, scimark_benchmark: 1327.3335, usercpu_time_millis: 240, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8853, kappa: 0.8552, kb_relative_information_score: 1827.2169, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8908, predictive_accuracy: 0.8826, prior_entropy: 2.4836, recall: 0.8826, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.5034, scimark_benchmark: 1321.8321, usercpu_time_millis: 310, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8853, kappa: 0.8552, kb_relative_information_score: 1827.2169, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8908, predictive_accuracy: 0.8826, prior_entropy: 2.4836, recall: 0.8826, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.5034, scimark_benchmark: 1317.5857, usercpu_time_millis: 360, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8853, kappa: 0.8552, kb_relative_information_score: 1827.2169, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8908, predictive_accuracy: 0.8826, prior_entropy: 2.4836, recall: 0.8826, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.5034, scimark_benchmark: 1313.5633, usercpu_time_millis: 720, usercpu_time_millis_testing: 570, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8766, kappa: 0.8513, kb_relative_information_score: 1759.6336, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8766, predictive_accuracy: 0.8802, prior_entropy: 2.4836, recall: 0.8802, relative_absolute_error: 0.2259, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.4589, scimark_benchmark: 1313.5633, usercpu_time_millis: 1390, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8853, kappa: 0.8552, kb_relative_information_score: 1827.2169, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8908, predictive_accuracy: 0.8826, prior_entropy: 2.4836, recall: 0.8826, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.5034, scimark_benchmark: 1350.7721, usercpu_time_millis: 290, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.8535, kappa: 0.8203, kb_relative_information_score: 1697.1786, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8531, predictive_accuracy: 0.8548, prior_entropy: 2.4836, recall: 0.8548, relative_absolute_error: 0.2346, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.5413, scimark_benchmark: 1309.0674, usercpu_time_millis: 9990, usercpu_time_millis_testing: 1010, usercpu_time_millis_training: 8980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9071, kappa: 0.8878, kb_relative_information_score: 1815.4589, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.9072, predictive_accuracy: 0.9095, prior_entropy: 2.4836, recall: 0.9095, relative_absolute_error: 0.2027, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.4096, scimark_benchmark: 1313.5633, usercpu_time_millis: 4030, usercpu_time_millis_testing: 630, usercpu_time_millis_training: 3400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.6972, kappa: 0.6864, kb_relative_information_score: 1055.8336, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.7144, predictive_accuracy: 0.7534, prior_entropy: 2.4836, recall: 0.7534, relative_absolute_error: 0.6414, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.28, root_relative_squared_error: 0.7622, scimark_benchmark: 1331.8682, usercpu_time_millis: 269860, usercpu_time_millis_testing: 269860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.8009, kappa: 0.7722, kb_relative_information_score: 1590.028, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.7974, predictive_accuracy: 0.8175, prior_entropy: 2.4836, recall: 0.8175, relative_absolute_error: 0.3297, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.5652, scimark_benchmark: 1253.0071, usercpu_time_millis: 4980, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.8778, kappa: 0.8501, kb_relative_information_score: 1798.7469, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8776, predictive_accuracy: 0.8788, prior_entropy: 2.4836, recall: 0.8788, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.4712, scimark_benchmark: 1331.0047, usercpu_time_millis: 64340, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 64310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.8992, kappa: 0.8769, kb_relative_information_score: 1860.3304, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8999, predictive_accuracy: 0.9005, prior_entropy: 2.4836, recall: 0.9005, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.4957, scimark_benchmark: 1332.1612, usercpu_time_millis: 34440, usercpu_time_millis_testing: 20830, usercpu_time_millis_training: 13610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8853, kappa: 0.8552, kb_relative_information_score: 1827.2169, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8908, predictive_accuracy: 0.8826, prior_entropy: 2.4836, recall: 0.8826, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.5034, scimark_benchmark: 1349.9109, usercpu_time_millis: 620, usercpu_time_millis_testing: 480, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8853, kappa: 0.8552, kb_relative_information_score: 1827.2169, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8908, predictive_accuracy: 0.8826, prior_entropy: 2.4836, recall: 0.8826, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.5034, scimark_benchmark: 1337.7902, usercpu_time_millis: 300, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8766, kappa: 0.8513, kb_relative_information_score: 1759.6336, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8766, predictive_accuracy: 0.8802, prior_entropy: 2.4836, recall: 0.8802, relative_absolute_error: 0.2259, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.4589, scimark_benchmark: 1322.2005, usercpu_time_millis: 1170, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8853, kappa: 0.8552, kb_relative_information_score: 1827.2169, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8908, predictive_accuracy: 0.8826, prior_entropy: 2.4836, recall: 0.8826, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.5034, scimark_benchmark: 1337.4384, usercpu_time_millis: 280, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.8992, kappa: 0.8769, kb_relative_information_score: 1860.3304, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8999, predictive_accuracy: 0.9005, prior_entropy: 2.4836, recall: 0.9005, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.4957, scimark_benchmark: 1344.0499, usercpu_time_millis: 29350, usercpu_time_millis_testing: 18490, usercpu_time_millis_training: 10860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8853, kappa: 0.8552, kb_relative_information_score: 1827.2169, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8908, predictive_accuracy: 0.8826, prior_entropy: 2.4836, recall: 0.8826, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.5034, scimark_benchmark: 1350.0252, usercpu_time_millis: 300, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.8992, kappa: 0.8769, kb_relative_information_score: 1860.3304, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8999, predictive_accuracy: 0.9005, prior_entropy: 2.4836, recall: 0.9005, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.4957, scimark_benchmark: 1317.5857, usercpu_time_millis: 38220, usercpu_time_millis_testing: 25160, usercpu_time_millis_training: 13060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8853, kappa: 0.8552, kb_relative_information_score: 1827.2169, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8908, predictive_accuracy: 0.8826, prior_entropy: 2.4836, recall: 0.8826, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.5034, scimark_benchmark: 1260.1387, usercpu_time_millis: 320, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8853, kappa: 0.8552, kb_relative_information_score: 1827.2169, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8908, predictive_accuracy: 0.8826, prior_entropy: 2.4836, recall: 0.8826, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.5034, scimark_benchmark: 1354.3488, usercpu_time_millis: 400, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9071, kappa: 0.8878, kb_relative_information_score: 1815.4589, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.9072, predictive_accuracy: 0.9095, prior_entropy: 2.4836, recall: 0.9095, relative_absolute_error: 0.2027, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.4096, scimark_benchmark: 1347.993, usercpu_time_millis: 3810, usercpu_time_millis_testing: 480, usercpu_time_millis_training: 3330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8853, kappa: 0.8552, kb_relative_information_score: 1827.2169, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8908, predictive_accuracy: 0.8826, prior_entropy: 2.4836, recall: 0.8826, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.5034, scimark_benchmark: 1322.7257, usercpu_time_millis: 330, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 110,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs