OpenML
Supervised Classification on solar-flare

Supervised Classification on solar-flare

Task 2991 Supervised Classification solar-flare 172 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.6975, kappa: 0.627, kb_relative_information_score: 2036.0679, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.6988, predictive_accuracy: 0.713, prior_entropy: 2.3334, recall: 0.713, relative_absolute_error: 0.4175, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.7018, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.6911, kappa: 0.6162, kb_relative_information_score: 1961.7773, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.6836, predictive_accuracy: 0.7037, prior_entropy: 2.3334, recall: 0.7037, relative_absolute_error: 0.4475, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2517, root_relative_squared_error: 0.6959, scimark_benchmark: 851.2074, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.704, kappa: 0.6478, kb_relative_information_score: 2075.0689, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.6824, predictive_accuracy: 0.7303, prior_entropy: 2.3334, recall: 0.7303, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.8291, scimark_benchmark: 931.771, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.7164, kappa: 0.6479, kb_relative_information_score: 2037.5507, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.7123, predictive_accuracy: 0.7279, prior_entropy: 2.3334, recall: 0.7279, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.6816, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.7164, kappa: 0.6479, kb_relative_information_score: 2037.5507, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.7123, predictive_accuracy: 0.7279, prior_entropy: 2.3334, recall: 0.7279, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.6816, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.7006, kappa: 0.6335, kb_relative_information_score: 2011.6785, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.691, predictive_accuracy: 0.7176, prior_entropy: 2.3334, recall: 0.7176, relative_absolute_error: 0.4357, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.6801, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.7164, kappa: 0.6479, kb_relative_information_score: 2037.5507, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.7123, predictive_accuracy: 0.7279, prior_entropy: 2.3334, recall: 0.7279, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.6816, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.6951, kappa: 0.616, kb_relative_information_score: 2010.4417, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.6911, predictive_accuracy: 0.7015, prior_entropy: 2.3334, recall: 0.7015, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.7133, scimark_benchmark: 931.771, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.704, kappa: 0.6478, kb_relative_information_score: 2075.0689, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.6824, predictive_accuracy: 0.7303, prior_entropy: 2.3334, recall: 0.7303, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.8291, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.656, kappa: 0.5673, kb_relative_information_score: 1917.374, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.6553, predictive_accuracy: 0.6622, prior_entropy: 2.3334, recall: 0.6622, relative_absolute_error: 0.4661, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.7242, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.6887, kappa: 0.6114, kb_relative_information_score: 1981.1479, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.6832, predictive_accuracy: 0.7, prior_entropy: 2.3334, recall: 0.7, relative_absolute_error: 0.4231, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.7281, scimark_benchmark: 974.2014, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.6951, kappa: 0.616, kb_relative_information_score: 2010.4417, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.6911, predictive_accuracy: 0.7015, prior_entropy: 2.3334, recall: 0.7015, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.7133, scimark_benchmark: 947.1781, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.6975, kappa: 0.627, kb_relative_information_score: 2036.0679, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.6988, predictive_accuracy: 0.713, prior_entropy: 2.3334, recall: 0.713, relative_absolute_error: 0.4175, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.7018, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.6911, kappa: 0.6162, kb_relative_information_score: 1961.7773, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.6836, predictive_accuracy: 0.7037, prior_entropy: 2.3334, recall: 0.7037, relative_absolute_error: 0.4475, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2517, root_relative_squared_error: 0.6959, scimark_benchmark: 906.5979, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.704, kappa: 0.6478, kb_relative_information_score: 2075.0689, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.6824, predictive_accuracy: 0.7303, prior_entropy: 2.3334, recall: 0.7303, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.8291, scimark_benchmark: 908.9569, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.704, kappa: 0.6478, kb_relative_information_score: 2075.0689, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.6824, predictive_accuracy: 0.7303, prior_entropy: 2.3334, recall: 0.7303, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.8291, scimark_benchmark: 934.5964, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.656, kappa: 0.5673, kb_relative_information_score: 1917.374, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.6553, predictive_accuracy: 0.6622, prior_entropy: 2.3334, recall: 0.6622, relative_absolute_error: 0.4661, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.7242, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.7164, kappa: 0.6479, kb_relative_information_score: 2037.5507, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.7123, predictive_accuracy: 0.7279, prior_entropy: 2.3334, recall: 0.7279, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.6816, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.7164, kappa: 0.6479, kb_relative_information_score: 2037.5507, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.7123, predictive_accuracy: 0.7279, prior_entropy: 2.3334, recall: 0.7279, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.6816, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.7164, kappa: 0.6479, kb_relative_information_score: 2037.5507, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.7123, predictive_accuracy: 0.7279, prior_entropy: 2.3334, recall: 0.7279, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.6816, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.7006, kappa: 0.6335, kb_relative_information_score: 2011.6785, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.691, predictive_accuracy: 0.7176, prior_entropy: 2.3334, recall: 0.7176, relative_absolute_error: 0.4357, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.6801, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.7164, kappa: 0.6479, kb_relative_information_score: 2037.5507, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.7123, predictive_accuracy: 0.7279, prior_entropy: 2.3334, recall: 0.7279, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.6816, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.6887, kappa: 0.6114, kb_relative_information_score: 1981.1479, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.6832, predictive_accuracy: 0.7, prior_entropy: 2.3334, recall: 0.7, relative_absolute_error: 0.4231, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.7281, scimark_benchmark: 936.3213, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.6951, kappa: 0.616, kb_relative_information_score: 2010.4417, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.6911, predictive_accuracy: 0.7015, prior_entropy: 2.3334, recall: 0.7015, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.7133, scimark_benchmark: 1051.249, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.7069, kappa: 0.6361, kb_relative_information_score: 1976.8808, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.7027, predictive_accuracy: 0.7189, prior_entropy: 2.3334, recall: 0.7189, relative_absolute_error: 0.4535, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.6722, scimark_benchmark: 737.6064, usercpu_time_millis: 2610, usercpu_time_millis_testing: 1200, usercpu_time_millis_training: 1410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.7052, kappa: 0.6337, kb_relative_information_score: 1973.7725, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.7008, predictive_accuracy: 0.717, prior_entropy: 2.3334, recall: 0.717, relative_absolute_error: 0.4542, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.6731, scimark_benchmark: 904.5548, usercpu_time_millis: 1060, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.7064, kappa: 0.6356, kb_relative_information_score: 1979.2298, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.7021, predictive_accuracy: 0.7186, prior_entropy: 2.3334, recall: 0.7186, relative_absolute_error: 0.4519, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.6723, scimark_benchmark: 945.2015, usercpu_time_millis: 540, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.7033, kappa: 0.6317, kb_relative_information_score: 1969.1165, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.6979, predictive_accuracy: 0.7155, prior_entropy: 2.3334, recall: 0.7155, relative_absolute_error: 0.4555, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.6743, scimark_benchmark: 933.9243, usercpu_time_millis: 290, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.6993, kappa: 0.6261, kb_relative_information_score: 1969.0939, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.6944, predictive_accuracy: 0.7111, prior_entropy: 2.3334, recall: 0.7111, relative_absolute_error: 0.4526, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.6797, scimark_benchmark: 889.4922, usercpu_time_millis: 160, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4763, f_measure: 0.1167, kb_relative_information_score: 3.8895, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.0742, predictive_accuracy: 0.2724, prior_entropy: 2.3334, recall: 0.2724, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.3617, root_relative_squared_error: 1.0002, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.3884, kappa: 0.2765, kb_relative_information_score: 973.5422, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.4943, predictive_accuracy: 0.4638, prior_entropy: 2.3334, recall: 0.4638, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.313, root_relative_squared_error: 0.8654, scimark_benchmark: 936.7286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.3884, kappa: 0.2765, kb_relative_information_score: 973.5422, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.4943, predictive_accuracy: 0.4638, prior_entropy: 2.3334, recall: 0.4638, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.313, root_relative_squared_error: 0.8654, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.3884, kappa: 0.2765, kb_relative_information_score: 973.5422, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.4943, predictive_accuracy: 0.4638, prior_entropy: 2.3334, recall: 0.4638, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.313, root_relative_squared_error: 0.8654, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.3884, kappa: 0.2765, kb_relative_information_score: 973.5422, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.4943, predictive_accuracy: 0.4638, prior_entropy: 2.3334, recall: 0.4638, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.313, root_relative_squared_error: 0.8654, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.3884, kappa: 0.2765, kb_relative_information_score: 973.5422, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.4943, predictive_accuracy: 0.4638, prior_entropy: 2.3334, recall: 0.4638, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.313, root_relative_squared_error: 0.8654, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1167, kb_relative_information_score: 395.7338, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.0742, predictive_accuracy: 0.2724, prior_entropy: 2.3334, recall: 0.2724, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.4925, root_relative_squared_error: 1.3618, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.6925, kappa: 0.6296, kb_relative_information_score: 1948.3525, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.6831, predictive_accuracy: 0.7158, prior_entropy: 2.3334, recall: 0.7158, relative_absolute_error: 0.4541, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.6799, scimark_benchmark: 926.5859, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.6951, kappa: 0.616, kb_relative_information_score: 2010.4417, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.6911, predictive_accuracy: 0.7015, prior_entropy: 2.3334, recall: 0.7015, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.7133, scimark_benchmark: 1327.6367, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.704, kappa: 0.6478, kb_relative_information_score: 2075.0689, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.6824, predictive_accuracy: 0.7303, prior_entropy: 2.3334, recall: 0.7303, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.8291, scimark_benchmark: 1317.5857, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.6951, kappa: 0.616, kb_relative_information_score: 2010.4417, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.6911, predictive_accuracy: 0.7015, prior_entropy: 2.3334, recall: 0.7015, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.7133, scimark_benchmark: 942.9708, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.6975, kappa: 0.627, kb_relative_information_score: 2036.0679, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.6988, predictive_accuracy: 0.713, prior_entropy: 2.3334, recall: 0.713, relative_absolute_error: 0.4175, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.7018, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.656, kappa: 0.5673, kb_relative_information_score: 1917.374, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.6553, predictive_accuracy: 0.6622, prior_entropy: 2.3334, recall: 0.6622, relative_absolute_error: 0.4661, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.7242, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.7164, kappa: 0.6479, kb_relative_information_score: 2037.5507, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.7123, predictive_accuracy: 0.7279, prior_entropy: 2.3334, recall: 0.7279, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.6816, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.7164, kappa: 0.6479, kb_relative_information_score: 2037.5507, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.7123, predictive_accuracy: 0.7279, prior_entropy: 2.3334, recall: 0.7279, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.6816, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.6955, kappa: 0.6162, kb_relative_information_score: 2025.525, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.692, predictive_accuracy: 0.7015, prior_entropy: 2.3334, recall: 0.7015, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2672, root_relative_squared_error: 0.7389, scimark_benchmark: 1260.1387, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.656, kappa: 0.5673, kb_relative_information_score: 1917.374, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.6553, predictive_accuracy: 0.6622, prior_entropy: 2.3334, recall: 0.6622, relative_absolute_error: 0.4661, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.7242, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.656, kappa: 0.5673, kb_relative_information_score: 1917.374, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.6553, predictive_accuracy: 0.6622, prior_entropy: 2.3334, recall: 0.6622, relative_absolute_error: 0.4661, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.7242, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.656, kappa: 0.5673, kb_relative_information_score: 1917.374, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.6553, predictive_accuracy: 0.6622, prior_entropy: 2.3334, recall: 0.6622, relative_absolute_error: 0.4661, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.7242, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.7098, kappa: 0.6439, kb_relative_information_score: 2045.5165, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.7074, predictive_accuracy: 0.7251, prior_entropy: 2.3334, recall: 0.7251, relative_absolute_error: 0.4293, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.246, root_relative_squared_error: 0.6803, scimark_benchmark: 1327.2954, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.7045, kappa: 0.6419, kb_relative_information_score: 2017.8778, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.7027, predictive_accuracy: 0.7251, prior_entropy: 2.3334, recall: 0.7251, relative_absolute_error: 0.4347, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2442, root_relative_squared_error: 0.6753, scimark_benchmark: 1301.2156, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.6911, kappa: 0.6162, kb_relative_information_score: 1961.7773, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.6836, predictive_accuracy: 0.7037, prior_entropy: 2.3334, recall: 0.7037, relative_absolute_error: 0.4475, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2517, root_relative_squared_error: 0.6959, scimark_benchmark: 1320.9026, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.7086, kappa: 0.655, kb_relative_information_score: 1476.9162, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.6863, predictive_accuracy: 0.7359, prior_entropy: 2.3334, recall: 0.7359, relative_absolute_error: 0.6614, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.7377, scimark_benchmark: 932.5646, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.705, kappa: 0.6438, kb_relative_information_score: 2020.5386, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.6992, predictive_accuracy: 0.7266, prior_entropy: 2.3334, recall: 0.7266, relative_absolute_error: 0.434, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2439, root_relative_squared_error: 0.6745, scimark_benchmark: 892.0148, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.6911, kappa: 0.6162, kb_relative_information_score: 1961.7773, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.6836, predictive_accuracy: 0.7037, prior_entropy: 2.3334, recall: 0.7037, relative_absolute_error: 0.4475, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2517, root_relative_squared_error: 0.6959, scimark_benchmark: 1342.4239, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.7098, kappa: 0.6434, kb_relative_information_score: 2073.5002, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.702, predictive_accuracy: 0.7248, prior_entropy: 2.3334, recall: 0.7248, relative_absolute_error: 0.3504, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.8376, scimark_benchmark: 943.1756, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.7059, kappa: 0.6522, kb_relative_information_score: 1470.9871, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.6833, predictive_accuracy: 0.7337, prior_entropy: 2.3334, recall: 0.7337, relative_absolute_error: 0.6627, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2675, root_relative_squared_error: 0.7398, scimark_benchmark: 1335.6393, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.656, kappa: 0.5673, kb_relative_information_score: 1917.374, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.6553, predictive_accuracy: 0.6622, prior_entropy: 2.3334, recall: 0.6622, relative_absolute_error: 0.4661, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.7242, scimark_benchmark: 833.3193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.6975, kappa: 0.627, kb_relative_information_score: 2036.0679, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.6988, predictive_accuracy: 0.713, prior_entropy: 2.3334, recall: 0.713, relative_absolute_error: 0.4175, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.7018, scimark_benchmark: 1316.5986,

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