OpenML
Supervised Classification on wind

Supervised Classification on wind

Task 4417 Supervised Classification wind 208 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.8427, kappa: 0.684, kb_relative_information_score: 38139.1346, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8427, predictive_accuracy: 0.8427, prior_entropy: 0.9969, recall: 0.8427, relative_absolute_error: 0.4466, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7029, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.8382, kappa: 0.6749, kb_relative_information_score: 30456.98, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8383, predictive_accuracy: 0.8384, prior_entropy: 0.9969, recall: 0.8384, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.348, root_relative_squared_error: 0.6976, scimark_benchmark: 972.587, usercpu_time_millis: 930, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8472, kappa: 0.693, kb_relative_information_score: 38670.1101, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8472, predictive_accuracy: 0.8472, prior_entropy: 0.9969, recall: 0.8472, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.6601, scimark_benchmark: 934.3687, usercpu_time_millis: 1590, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8304, kappa: 0.6616, kb_relative_information_score: 43292.9208, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8354, predictive_accuracy: 0.8303, prior_entropy: 0.9969, recall: 0.8303, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8256, scimark_benchmark: 941.3142, usercpu_time_millis: 64480, usercpu_time_millis_testing: 7740, usercpu_time_millis_training: 56740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8479, kappa: 0.6946, kb_relative_information_score: 41642.5482, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.848, predictive_accuracy: 0.8479, prior_entropy: 0.9969, recall: 0.8479, relative_absolute_error: 0.3809, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6604, scimark_benchmark: 941.6675, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8479, kappa: 0.6946, kb_relative_information_score: 41642.5482, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.848, predictive_accuracy: 0.8479, prior_entropy: 0.9969, recall: 0.8479, relative_absolute_error: 0.3809, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6604, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.8551, kappa: 0.7089, kb_relative_information_score: 40204.6347, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8551, predictive_accuracy: 0.8551, prior_entropy: 0.9969, recall: 0.8551, relative_absolute_error: 0.4107, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.6416, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.8675, kappa: 0.7337, kb_relative_information_score: 42238.456, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8675, predictive_accuracy: 0.8676, prior_entropy: 0.9969, recall: 0.8676, relative_absolute_error: 0.3786, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.613, scimark_benchmark: 938.8177, usercpu_time_millis: 1416350, usercpu_time_millis_testing: 7360, usercpu_time_millis_training: 1408990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.811, kappa: 0.6204, kb_relative_information_score: 40363.6184, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.811, predictive_accuracy: 0.811, prior_entropy: 0.9969, recall: 0.811, relative_absolute_error: 0.3865, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8323, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8304, kappa: 0.6616, kb_relative_information_score: 43292.9208, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8354, predictive_accuracy: 0.8303, prior_entropy: 0.9969, recall: 0.8303, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8256, scimark_benchmark: 936.3373, usercpu_time_millis: 72740, usercpu_time_millis_testing: 10120, usercpu_time_millis_training: 62620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8304, kappa: 0.6616, kb_relative_information_score: 43292.9208, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8354, predictive_accuracy: 0.8303, prior_entropy: 0.9969, recall: 0.8303, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8256, scimark_benchmark: 974.2014, usercpu_time_millis: 52520, usercpu_time_millis_testing: 8090, usercpu_time_millis_training: 44430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8479, kappa: 0.6946, kb_relative_information_score: 41642.5482, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.848, predictive_accuracy: 0.8479, prior_entropy: 0.9969, recall: 0.8479, relative_absolute_error: 0.3809, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6604, scimark_benchmark: 941.3847, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.8646, kappa: 0.728, kb_relative_information_score: 40003.8321, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8647, predictive_accuracy: 0.8647, prior_entropy: 0.9969, recall: 0.8647, relative_absolute_error: 0.4173, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6268, scimark_benchmark: 943.1009, usercpu_time_millis: 3210, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 2930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.8427, kappa: 0.684, kb_relative_information_score: 38139.1346, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8427, predictive_accuracy: 0.8427, prior_entropy: 0.9969, recall: 0.8427, relative_absolute_error: 0.4466, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7029, scimark_benchmark: 942.2392, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.8382, kappa: 0.6749, kb_relative_information_score: 30456.98, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8383, predictive_accuracy: 0.8384, prior_entropy: 0.9969, recall: 0.8384, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.348, root_relative_squared_error: 0.6976, scimark_benchmark: 908.9569, usercpu_time_millis: 850, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8472, kappa: 0.693, kb_relative_information_score: 38670.1101, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8472, predictive_accuracy: 0.8472, prior_entropy: 0.9969, recall: 0.8472, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.6601, scimark_benchmark: 936.2574, usercpu_time_millis: 1580, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.8675, kappa: 0.7337, kb_relative_information_score: 42238.456, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8675, predictive_accuracy: 0.8676, prior_entropy: 0.9969, recall: 0.8676, relative_absolute_error: 0.3786, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.613, scimark_benchmark: 926.5462, usercpu_time_millis: 1688110, usercpu_time_millis_testing: 7510, usercpu_time_millis_training: 1680600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8479, kappa: 0.6946, kb_relative_information_score: 41642.5482, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.848, predictive_accuracy: 0.8479, prior_entropy: 0.9969, recall: 0.8479, relative_absolute_error: 0.3809, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6604, scimark_benchmark: 930.404, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8479, kappa: 0.6946, kb_relative_information_score: 41642.5482, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.848, predictive_accuracy: 0.8479, prior_entropy: 0.9969, recall: 0.8479, relative_absolute_error: 0.3809, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6604, scimark_benchmark: 941.4991, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.8551, kappa: 0.7089, kb_relative_information_score: 40204.6347, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8551, predictive_accuracy: 0.8551, prior_entropy: 0.9969, recall: 0.8551, relative_absolute_error: 0.4107, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.6416, scimark_benchmark: 903.2737, usercpu_time_millis: 830, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8479, kappa: 0.6946, kb_relative_information_score: 41642.5482, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.848, predictive_accuracy: 0.8479, prior_entropy: 0.9969, recall: 0.8479, relative_absolute_error: 0.3809, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6604, scimark_benchmark: 944.0133, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.811, kappa: 0.6204, kb_relative_information_score: 40363.6184, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.811, predictive_accuracy: 0.811, prior_entropy: 0.9969, recall: 0.811, relative_absolute_error: 0.3865, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8323, scimark_benchmark: 945.6228, usercpu_time_millis: 1670, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.8646, kappa: 0.728, kb_relative_information_score: 40003.8321, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8647, predictive_accuracy: 0.8647, prior_entropy: 0.9969, recall: 0.8647, relative_absolute_error: 0.4173, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6268, scimark_benchmark: 945.6228, usercpu_time_millis: 3230, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 2850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8661, kappa: 0.731, kb_relative_information_score: 39897.6203, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8661, predictive_accuracy: 0.8661, prior_entropy: 0.9969, recall: 0.8661, relative_absolute_error: 0.4221, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.6228, scimark_benchmark: 945.6228, usercpu_time_millis: 77930, usercpu_time_millis_testing: 22560, usercpu_time_millis_training: 55370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.8659, kappa: 0.7306, kb_relative_information_score: 39917.7029, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8659, predictive_accuracy: 0.8659, prior_entropy: 0.9969, recall: 0.8659, relative_absolute_error: 0.4216, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6232, scimark_benchmark: 933.4823, usercpu_time_millis: 33420, usercpu_time_millis_testing: 5540, usercpu_time_millis_training: 27880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.8644, kappa: 0.7276, kb_relative_information_score: 39864.2535, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8644, predictive_accuracy: 0.8645, prior_entropy: 0.9969, recall: 0.8645, relative_absolute_error: 0.4221, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.6256, scimark_benchmark: 935.3212, usercpu_time_millis: 15310, usercpu_time_millis_testing: 1950, usercpu_time_millis_training: 13360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.8632, kappa: 0.7252, kb_relative_information_score: 39868.5763, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8632, predictive_accuracy: 0.8632, prior_entropy: 0.9969, recall: 0.8632, relative_absolute_error: 0.4215, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.6288, scimark_benchmark: 938.3401, usercpu_time_millis: 8060, usercpu_time_millis_testing: 980, usercpu_time_millis_training: 7080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8592, kappa: 0.7172, kb_relative_information_score: 39710.5375, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8592, predictive_accuracy: 0.8592, prior_entropy: 0.9969, recall: 0.8592, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6373, scimark_benchmark: 896.2181, usercpu_time_millis: 4470, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 3960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8269, kappa: 0.6524, kb_relative_information_score: 38330.5594, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.827, predictive_accuracy: 0.8268, prior_entropy: 0.9969, recall: 0.8268, relative_absolute_error: 0.4357, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.702, scimark_benchmark: 936.1714, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8269, kappa: 0.6524, kb_relative_information_score: 38330.5594, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.827, predictive_accuracy: 0.8268, prior_entropy: 0.9969, recall: 0.8268, relative_absolute_error: 0.4357, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.702, scimark_benchmark: 889.4922, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8269, kappa: 0.6524, kb_relative_information_score: 38330.5594, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.827, predictive_accuracy: 0.8268, prior_entropy: 0.9969, recall: 0.8268, relative_absolute_error: 0.4357, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.702, scimark_benchmark: 929.0296, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8269, kappa: 0.6524, kb_relative_information_score: 38330.5594, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.827, predictive_accuracy: 0.8268, prior_entropy: 0.9969, recall: 0.8268, relative_absolute_error: 0.4357, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.702, scimark_benchmark: 929.0296, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8269, kappa: 0.6524, kb_relative_information_score: 38330.5594, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.827, predictive_accuracy: 0.8268, prior_entropy: 0.9969, recall: 0.8268, relative_absolute_error: 0.4357, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.702, scimark_benchmark: 926.5859, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8311, kappa: 0.6608, kb_relative_information_score: 37726.5894, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8311, predictive_accuracy: 0.8312, prior_entropy: 0.9969, recall: 0.8312, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.7001, scimark_benchmark: 941.9549, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.8416, kappa: 0.6818, kb_relative_information_score: 44603.9017, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8416, predictive_accuracy: 0.8416, prior_entropy: 0.9969, recall: 0.8416, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.7461, scimark_benchmark: 936.1714, usercpu_time_millis: 1820, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1800,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8479, kappa: 0.6946, kb_relative_information_score: 41642.5482, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.848, predictive_accuracy: 0.8479, prior_entropy: 0.9969, recall: 0.8479, relative_absolute_error: 0.3809, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6604, scimark_benchmark: 1339.2472, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8479, kappa: 0.6946, kb_relative_information_score: 41642.5482, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.848, predictive_accuracy: 0.8479, prior_entropy: 0.9969, recall: 0.8479, relative_absolute_error: 0.3809, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6604, scimark_benchmark: 1313.8988, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8479, kappa: 0.6946, kb_relative_information_score: 41642.5482, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.848, predictive_accuracy: 0.8479, prior_entropy: 0.9969, recall: 0.8479, relative_absolute_error: 0.3809, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6604, scimark_benchmark: 1362.9924, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8304, kappa: 0.6616, kb_relative_information_score: 43292.9208, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8354, predictive_accuracy: 0.8303, prior_entropy: 0.9969, recall: 0.8303, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8256, scimark_benchmark: 1393.8432, usercpu_time_millis: 63610, usercpu_time_millis_testing: 17800, usercpu_time_millis_training: 45810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8479, kappa: 0.6946, kb_relative_information_score: 41642.5482, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.848, predictive_accuracy: 0.8479, prior_entropy: 0.9969, recall: 0.8479, relative_absolute_error: 0.3809, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6604, scimark_benchmark: 1338.5214, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8479, kappa: 0.6946, kb_relative_information_score: 41642.5482, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.848, predictive_accuracy: 0.8479, prior_entropy: 0.9969, recall: 0.8479, relative_absolute_error: 0.3809, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6604, scimark_benchmark: 1333.202, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8479, kappa: 0.6946, kb_relative_information_score: 41642.5482, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.848, predictive_accuracy: 0.8479, prior_entropy: 0.9969, recall: 0.8479, relative_absolute_error: 0.3809, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6604, scimark_benchmark: 1325.8468, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.8109, kappa: 0.6202, kb_relative_information_score: 40345.2767, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8109, predictive_accuracy: 0.8109, prior_entropy: 0.9969, recall: 0.8109, relative_absolute_error: 0.3868, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8325, scimark_benchmark: 1335.6555, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.8675, kappa: 0.7337, kb_relative_information_score: 42238.456, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8675, predictive_accuracy: 0.8676, prior_entropy: 0.9969, recall: 0.8676, relative_absolute_error: 0.3786, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.613, scimark_benchmark: 1351.3088, usercpu_time_millis: 766870, usercpu_time_millis_testing: 6690, usercpu_time_millis_training: 760180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.8427, kappa: 0.684, kb_relative_information_score: 38139.1346, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8427, predictive_accuracy: 0.8427, prior_entropy: 0.9969, recall: 0.8427, relative_absolute_error: 0.4466, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7029, scimark_benchmark: 1336.0954, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.8109, kappa: 0.6202, kb_relative_information_score: 40345.2767, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8109, predictive_accuracy: 0.8109, prior_entropy: 0.9969, recall: 0.8109, relative_absolute_error: 0.3868, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8325, scimark_benchmark: 1318.4315, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.811, kappa: 0.6204, kb_relative_information_score: 40363.6184, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.811, predictive_accuracy: 0.811, prior_entropy: 0.9969, recall: 0.811, relative_absolute_error: 0.3865, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8323, scimark_benchmark: 1313.11, usercpu_time_millis: 1800, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.8646, kappa: 0.728, kb_relative_information_score: 40003.8321, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8647, predictive_accuracy: 0.8647, prior_entropy: 0.9969, recall: 0.8647, relative_absolute_error: 0.4173, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6268, scimark_benchmark: 1345.5961, usercpu_time_millis: 3320, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 2730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8513, kappa: 0.7015, kb_relative_information_score: 41805.3354, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8514, predictive_accuracy: 0.8513, prior_entropy: 0.9969, recall: 0.8513, relative_absolute_error: 0.3794, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.6524, scimark_benchmark: 1342.2845, usercpu_time_millis: 270, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.8427, kappa: 0.684, kb_relative_information_score: 38139.1346, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8427, predictive_accuracy: 0.8427, prior_entropy: 0.9969, recall: 0.8427, relative_absolute_error: 0.4466, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7029, scimark_benchmark: 1309.4708, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.8382, kappa: 0.6749, kb_relative_information_score: 30456.98, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8383, predictive_accuracy: 0.8384, prior_entropy: 0.9969, recall: 0.8384, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.348, root_relative_squared_error: 0.6976, scimark_benchmark: 1350.1007, usercpu_time_millis: 620, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, f_measure: 0.8368, kappa: 0.6722, kb_relative_information_score: 41028.1704, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8368, predictive_accuracy: 0.8368, prior_entropy: 0.9969, recall: 0.8368, relative_absolute_error: 0.3898, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7553, scimark_benchmark: 1339.8573, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8472, kappa: 0.693, kb_relative_information_score: 38670.1101, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8472, predictive_accuracy: 0.8472, prior_entropy: 0.9969, recall: 0.8472, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.6601, scimark_benchmark: 1309.4708, usercpu_time_millis: 1350, usercpu_time_millis_training: 1350,

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