OpenML
Supervised Classification on fri_c4_500_25

Supervised Classification on fri_c4_500_25

Task 4408 Supervised Classification fri_c4_500_25 217 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8349, kappa: 0.6645, kb_relative_information_score: 2951.8299, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8357, predictive_accuracy: 0.8346, prior_entropy: 0.9867, recall: 0.8346, relative_absolute_error: 0.4285, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.7132, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.86, kappa: 0.7147, kb_relative_information_score: 2701.5575, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9867, recall: 0.86, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6588, scimark_benchmark: 972.587, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8432, kappa: 0.6801, kb_relative_information_score: 3015.6926, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8431, predictive_accuracy: 0.8434, prior_entropy: 0.9867, recall: 0.8434, relative_absolute_error: 0.4159, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.6786, scimark_benchmark: 934.3687, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.687, f_measure: 0.6979, kappa: 0.3816, kb_relative_information_score: 1945.18, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.7008, predictive_accuracy: 0.7026, prior_entropy: 0.9867, recall: 0.7026, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.1009, scimark_benchmark: 904.0772, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.687, f_measure: 0.6979, kappa: 0.3816, kb_relative_information_score: 1945.18, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.7008, predictive_accuracy: 0.7026, prior_entropy: 0.9867, recall: 0.7026, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.1009, scimark_benchmark: 931.771, usercpu_time_millis: 200, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8479, kappa: 0.6897, kb_relative_information_score: 3040.544, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8479, predictive_accuracy: 0.8482, prior_entropy: 0.9867, recall: 0.8482, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6662, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8479, kappa: 0.6897, kb_relative_information_score: 3040.544, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8479, predictive_accuracy: 0.8482, prior_entropy: 0.9867, recall: 0.8482, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6662, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8479, kappa: 0.6897, kb_relative_information_score: 3040.544, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8479, predictive_accuracy: 0.8482, prior_entropy: 0.9867, recall: 0.8482, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6662, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8626, kappa: 0.7201, kb_relative_information_score: 2976.9252, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8626, predictive_accuracy: 0.8626, prior_entropy: 0.9867, recall: 0.8626, relative_absolute_error: 0.4326, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6349, scimark_benchmark: 938.191, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.6761, kappa: 0.3378, kb_relative_information_score: 1145.6842, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.6758, predictive_accuracy: 0.678, prior_entropy: 0.9867, recall: 0.678, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9452, scimark_benchmark: 934.2976, usercpu_time_millis: 7470, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 7360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.8406, kappa: 0.6748, kb_relative_information_score: 3038.296, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8405, predictive_accuracy: 0.8408, prior_entropy: 0.9867, recall: 0.8408, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7144, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.687, f_measure: 0.6979, kappa: 0.3816, kb_relative_information_score: 1945.18, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.7008, predictive_accuracy: 0.7026, prior_entropy: 0.9867, recall: 0.7026, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.1009, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.687, f_measure: 0.6979, kappa: 0.3816, kb_relative_information_score: 1945.18, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.7008, predictive_accuracy: 0.7026, prior_entropy: 0.9867, recall: 0.7026, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.1009, scimark_benchmark: 932.438, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.866, kappa: 0.7265, kb_relative_information_score: 2450.0174, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8662, predictive_accuracy: 0.8664, prior_entropy: 0.9867, recall: 0.8664, relative_absolute_error: 0.5562, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6602, scimark_benchmark: 937.5117, usercpu_time_millis: 210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8349, kappa: 0.6645, kb_relative_information_score: 2951.8299, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8357, predictive_accuracy: 0.8346, prior_entropy: 0.9867, recall: 0.8346, relative_absolute_error: 0.4285, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.7132, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.86, kappa: 0.7147, kb_relative_information_score: 2701.5575, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9867, recall: 0.86, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6588, scimark_benchmark: 908.9569, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8432, kappa: 0.6801, kb_relative_information_score: 3015.6926, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8431, predictive_accuracy: 0.8434, prior_entropy: 0.9867, recall: 0.8434, relative_absolute_error: 0.4159, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.6786, scimark_benchmark: 938.1282, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.687, f_measure: 0.6979, kappa: 0.3816, kb_relative_information_score: 1945.18, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.7008, predictive_accuracy: 0.7026, prior_entropy: 0.9867, recall: 0.7026, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.1009, scimark_benchmark: 934.7923, usercpu_time_millis: 180, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.687, f_measure: 0.6979, kappa: 0.3816, kb_relative_information_score: 1945.18, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.7008, predictive_accuracy: 0.7026, prior_entropy: 0.9867, recall: 0.7026, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.1009, scimark_benchmark: 926.5462, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8479, kappa: 0.6897, kb_relative_information_score: 3040.544, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8479, predictive_accuracy: 0.8482, prior_entropy: 0.9867, recall: 0.8482, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6662, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8479, kappa: 0.6897, kb_relative_information_score: 3040.544, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8479, predictive_accuracy: 0.8482, prior_entropy: 0.9867, recall: 0.8482, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6662, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8479, kappa: 0.6897, kb_relative_information_score: 3040.544, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8479, predictive_accuracy: 0.8482, prior_entropy: 0.9867, recall: 0.8482, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6662, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8479, kappa: 0.6897, kb_relative_information_score: 3040.544, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8479, predictive_accuracy: 0.8482, prior_entropy: 0.9867, recall: 0.8482, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6662, scimark_benchmark: 903.2737, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8626, kappa: 0.7201, kb_relative_information_score: 2976.9252, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8626, predictive_accuracy: 0.8626, prior_entropy: 0.9867, recall: 0.8626, relative_absolute_error: 0.4326, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6349, scimark_benchmark: 930.404, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.6761, kappa: 0.3378, kb_relative_information_score: 1145.6842, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.6758, predictive_accuracy: 0.678, prior_entropy: 0.9867, recall: 0.678, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9452, scimark_benchmark: 926.5462, usercpu_time_millis: 8080, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 8010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8479, kappa: 0.6897, kb_relative_information_score: 3040.544, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8479, predictive_accuracy: 0.8482, prior_entropy: 0.9867, recall: 0.8482, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6662, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.8406, kappa: 0.6748, kb_relative_information_score: 3038.296, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8405, predictive_accuracy: 0.8408, prior_entropy: 0.9867, recall: 0.8408, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7144, scimark_benchmark: 945.6228, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.866, kappa: 0.7265, kb_relative_information_score: 2450.0174, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8662, predictive_accuracy: 0.8664, prior_entropy: 0.9867, recall: 0.8664, relative_absolute_error: 0.5562, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6602, scimark_benchmark: 936.3213, usercpu_time_millis: 240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8585, kappa: 0.7106, kb_relative_information_score: 2099.8574, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8594, predictive_accuracy: 0.8592, prior_entropy: 0.9867, recall: 0.8592, relative_absolute_error: 0.6315, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3509, root_relative_squared_error: 0.7084, scimark_benchmark: 936.2574, usercpu_time_millis: 6850, usercpu_time_millis_testing: 2600, usercpu_time_millis_training: 4250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.8553, kappa: 0.7042, kb_relative_information_score: 2086.1296, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8565, predictive_accuracy: 0.8562, prior_entropy: 0.9867, recall: 0.8562, relative_absolute_error: 0.6332, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.712, scimark_benchmark: 938.4601, usercpu_time_millis: 3430, usercpu_time_millis_testing: 1190, usercpu_time_millis_training: 2240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.8487, kappa: 0.6907, kb_relative_information_score: 2070.888, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8498, predictive_accuracy: 0.8496, prior_entropy: 0.9867, recall: 0.8496, relative_absolute_error: 0.6349, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.717, scimark_benchmark: 935.3212, usercpu_time_millis: 1390, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 1080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8437, kappa: 0.6804, kb_relative_information_score: 2070.5379, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8452, predictive_accuracy: 0.8448, prior_entropy: 0.9867, recall: 0.8448, relative_absolute_error: 0.6318, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.725, scimark_benchmark: 938.8535, usercpu_time_millis: 700, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8099, kappa: 0.6111, kb_relative_information_score: 1995.1637, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8107, predictive_accuracy: 0.811, prior_entropy: 0.9867, recall: 0.811, relative_absolute_error: 0.6393, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7503, scimark_benchmark: 896.2181, usercpu_time_millis: 360, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.8552, kappa: 0.7046, kb_relative_information_score: 3190.6649, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8552, predictive_accuracy: 0.8554, prior_entropy: 0.9867, recall: 0.8554, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.325, root_relative_squared_error: 0.656, scimark_benchmark: 929.0296, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.8552, kappa: 0.7046, kb_relative_information_score: 3190.6649, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8552, predictive_accuracy: 0.8554, prior_entropy: 0.9867, recall: 0.8554, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.325, root_relative_squared_error: 0.656, scimark_benchmark: 889.4922, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.852, kappa: 0.6979, kb_relative_information_score: 3166.83, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8519, predictive_accuracy: 0.8522, prior_entropy: 0.9867, recall: 0.8522, relative_absolute_error: 0.3808, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.6588, scimark_benchmark: 894.7131, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.853, kappa: 0.6999, kb_relative_information_score: 3096.4907, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8529, predictive_accuracy: 0.8532, prior_entropy: 0.9867, recall: 0.8532, relative_absolute_error: 0.3983, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.6566, scimark_benchmark: 929.0296, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8481, kappa: 0.6901, kb_relative_information_score: 2844.4737, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8481, predictive_accuracy: 0.8484, prior_entropy: 0.9867, recall: 0.8484, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.334, root_relative_squared_error: 0.6743, scimark_benchmark: 926.5859, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8479, kappa: 0.6897, kb_relative_information_score: 3040.544, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8479, predictive_accuracy: 0.8482, prior_entropy: 0.9867, recall: 0.8482, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6662, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8479, kappa: 0.6897, kb_relative_information_score: 3040.544, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8479, predictive_accuracy: 0.8482, prior_entropy: 0.9867, recall: 0.8482, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6662, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8433, kappa: 0.6804, kb_relative_information_score: 2987.6417, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8432, predictive_accuracy: 0.8434, prior_entropy: 0.9867, recall: 0.8434, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.6789, scimark_benchmark: 1335.6555, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8479, kappa: 0.6897, kb_relative_information_score: 3040.544, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8479, predictive_accuracy: 0.8482, prior_entropy: 0.9867, recall: 0.8482, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6662, scimark_benchmark: 1306.9281, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8479, kappa: 0.6897, kb_relative_information_score: 3040.544, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8479, predictive_accuracy: 0.8482, prior_entropy: 0.9867, recall: 0.8482, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6662, scimark_benchmark: 1324.6442, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8479, kappa: 0.6897, kb_relative_information_score: 3040.544, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8479, predictive_accuracy: 0.8482, prior_entropy: 0.9867, recall: 0.8482, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6662, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8433, kappa: 0.6804, kb_relative_information_score: 2987.6417, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8432, predictive_accuracy: 0.8434, prior_entropy: 0.9867, recall: 0.8434, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.6789, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8479, kappa: 0.6897, kb_relative_information_score: 3040.544, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8479, predictive_accuracy: 0.8482, prior_entropy: 0.9867, recall: 0.8482, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6662, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8479, kappa: 0.6897, kb_relative_information_score: 3040.544, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8479, predictive_accuracy: 0.8482, prior_entropy: 0.9867, recall: 0.8482, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6662, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8479, kappa: 0.6897, kb_relative_information_score: 3040.544, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8479, predictive_accuracy: 0.8482, prior_entropy: 0.9867, recall: 0.8482, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6662, scimark_benchmark: 1321.8321, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.6761, kappa: 0.3378, kb_relative_information_score: 1145.6842, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.6758, predictive_accuracy: 0.678, prior_entropy: 0.9867, recall: 0.678, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9452, scimark_benchmark: 1318.6467, usercpu_time_millis: 3850, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 3790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8479, kappa: 0.6897, kb_relative_information_score: 3040.544, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8479, predictive_accuracy: 0.8482, prior_entropy: 0.9867, recall: 0.8482, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6662, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.86, kappa: 0.7147, kb_relative_information_score: 2701.5575, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9867, recall: 0.86, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6588, scimark_benchmark: 1350.7721, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8432, kappa: 0.6801, kb_relative_information_score: 3015.6926, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8431, predictive_accuracy: 0.8434, prior_entropy: 0.9867, recall: 0.8434, relative_absolute_error: 0.4159, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.6786, scimark_benchmark: 1358.6198, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.687, f_measure: 0.6979, kappa: 0.3816, kb_relative_information_score: 1945.18, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.7008, predictive_accuracy: 0.7026, prior_entropy: 0.9867, recall: 0.7026, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.1009, scimark_benchmark: 1332.7986, usercpu_time_millis: 150, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8433, kappa: 0.6804, kb_relative_information_score: 2987.6417, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8432, predictive_accuracy: 0.8434, prior_entropy: 0.9867, recall: 0.8434, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.6789, scimark_benchmark: 1325.4787, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8479, kappa: 0.6897, kb_relative_information_score: 3040.544, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8479, predictive_accuracy: 0.8482, prior_entropy: 0.9867, recall: 0.8482, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6662, scimark_benchmark: 1345.6844, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8479, kappa: 0.6897, kb_relative_information_score: 3040.544, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8479, predictive_accuracy: 0.8482, prior_entropy: 0.9867, recall: 0.8482, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6662, scimark_benchmark: 1321.8321, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.8406, kappa: 0.6748, kb_relative_information_score: 3038.296, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8405, predictive_accuracy: 0.8408, prior_entropy: 0.9867, recall: 0.8408, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7144, scimark_benchmark: 1338.5214, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.866, kappa: 0.7265, kb_relative_information_score: 2450.0174, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8662, predictive_accuracy: 0.8664, prior_entropy: 0.9867, recall: 0.8664, relative_absolute_error: 0.5562, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6602, scimark_benchmark: 1354.5533, usercpu_time_millis: 200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7197, f_measure: 0.675, kappa: 0.3365, kb_relative_information_score: 1000.6997, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.6745, predictive_accuracy: 0.6758, prior_entropy: 0.9867, recall: 0.6758, relative_absolute_error: 0.8179, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4607, root_relative_squared_error: 0.9301, scimark_benchmark: 1304.4677, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8432, kappa: 0.6801, kb_relative_information_score: 3015.6926, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8431, predictive_accuracy: 0.8434, prior_entropy: 0.9867, recall: 0.8434, relative_absolute_error: 0.4159, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.6786, scimark_benchmark: 1321.8132, usercpu_time_millis: 90, usercpu_time_millis_training: 90,

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