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Supervised Classification on fri_c0_100_50

Supervised Classification on fri_c0_100_50

Task 4420 Supervised Classification fri_c0_100_50 205 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, f_measure: 0.6301, kappa: 0.2619, kb_relative_information_score: 182.667, mean_absolute_error: 0.4167, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.6331, predictive_accuracy: 0.632, prior_entropy: 0.9997, recall: 0.632, relative_absolute_error: 0.8338, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5052, root_relative_squared_error: 1.0106, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, f_measure: 0.6379, kappa: 0.2754, kb_relative_information_score: 231.7776, mean_absolute_error: 0.3903, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.6379, predictive_accuracy: 0.638, prior_entropy: 0.9997, recall: 0.638, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9883, scimark_benchmark: 972.587, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6786, f_measure: 0.6299, kappa: 0.2595, kb_relative_information_score: 234.972, mean_absolute_error: 0.3853, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.6299, predictive_accuracy: 0.63, prior_entropy: 0.9997, recall: 0.63, relative_absolute_error: 0.7709, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5396, root_relative_squared_error: 1.0794, scimark_benchmark: 934.3687, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, f_measure: 0.6809, kappa: 0.3616, kb_relative_information_score: 361.6349, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.6809, predictive_accuracy: 0.681, prior_entropy: 0.9997, recall: 0.681, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5648, root_relative_squared_error: 1.1298, scimark_benchmark: 931.771, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, f_measure: 0.6809, kappa: 0.3616, kb_relative_information_score: 361.6349, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.6809, predictive_accuracy: 0.681, prior_entropy: 0.9997, recall: 0.681, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5648, root_relative_squared_error: 1.1298, scimark_benchmark: 944.1067, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.6365, kappa: 0.2756, kb_relative_information_score: 189.7884, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.641, predictive_accuracy: 0.639, prior_entropy: 0.9997, recall: 0.639, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.973, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7309, f_measure: 0.6719, kappa: 0.3435, kb_relative_information_score: 183.2985, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.6719, predictive_accuracy: 0.672, prior_entropy: 0.9997, recall: 0.672, relative_absolute_error: 0.8409, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9166, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.6797, kappa: 0.3592, kb_relative_information_score: 263.5647, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.68, predictive_accuracy: 0.68, prior_entropy: 0.9997, recall: 0.68, relative_absolute_error: 0.7554, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9191, scimark_benchmark: 934.2976, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5962, f_measure: 0.591, kappa: 0.1818, kb_relative_information_score: 147.4698, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.5911, predictive_accuracy: 0.591, prior_entropy: 0.9997, recall: 0.591, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5662, root_relative_squared_error: 1.1326, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, f_measure: 0.6809, kappa: 0.3616, kb_relative_information_score: 361.6349, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.6809, predictive_accuracy: 0.681, prior_entropy: 0.9997, recall: 0.681, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5648, root_relative_squared_error: 1.1298, scimark_benchmark: 937.5117, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, f_measure: 0.6809, kappa: 0.3616, kb_relative_information_score: 361.6349, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.6809, predictive_accuracy: 0.681, prior_entropy: 0.9997, recall: 0.681, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5648, root_relative_squared_error: 1.1298, scimark_benchmark: 974.2014, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7249, f_measure: 0.6517, kappa: 0.3031, kb_relative_information_score: 116.3864, mean_absolute_error: 0.4526, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.652, predictive_accuracy: 0.652, prior_entropy: 0.9997, recall: 0.652, relative_absolute_error: 0.9055, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9309, scimark_benchmark: 974.2014, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, f_measure: 0.6301, kappa: 0.2619, kb_relative_information_score: 182.667, mean_absolute_error: 0.4167, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.6331, predictive_accuracy: 0.632, prior_entropy: 0.9997, recall: 0.632, relative_absolute_error: 0.8338, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5052, root_relative_squared_error: 1.0106, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, f_measure: 0.6379, kappa: 0.2754, kb_relative_information_score: 231.7776, mean_absolute_error: 0.3903, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.6379, predictive_accuracy: 0.638, prior_entropy: 0.9997, recall: 0.638, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9883, scimark_benchmark: 908.9569, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6786, f_measure: 0.6299, kappa: 0.2595, kb_relative_information_score: 234.972, mean_absolute_error: 0.3853, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.6299, predictive_accuracy: 0.63, prior_entropy: 0.9997, recall: 0.63, relative_absolute_error: 0.7709, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5396, root_relative_squared_error: 1.0794, scimark_benchmark: 936.2574, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, f_measure: 0.6809, kappa: 0.3616, kb_relative_information_score: 361.6349, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.6809, predictive_accuracy: 0.681, prior_entropy: 0.9997, recall: 0.681, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5648, root_relative_squared_error: 1.1298, scimark_benchmark: 926.5462, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6811, f_measure: 0.6365, kappa: 0.2756, kb_relative_information_score: 189.1062, mean_absolute_error: 0.4127, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.641, predictive_accuracy: 0.639, prior_entropy: 0.9997, recall: 0.639, relative_absolute_error: 0.8257, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4863, root_relative_squared_error: 0.9728, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.6365, kappa: 0.2756, kb_relative_information_score: 189.7884, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.641, predictive_accuracy: 0.639, prior_entropy: 0.9997, recall: 0.639, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.973, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.6365, kappa: 0.2756, kb_relative_information_score: 189.7884, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.641, predictive_accuracy: 0.639, prior_entropy: 0.9997, recall: 0.639, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.973, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.6365, kappa: 0.2756, kb_relative_information_score: 189.7884, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.641, predictive_accuracy: 0.639, prior_entropy: 0.9997, recall: 0.639, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.973, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.6365, kappa: 0.2756, kb_relative_information_score: 189.7884, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.641, predictive_accuracy: 0.639, prior_entropy: 0.9997, recall: 0.639, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.973, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7309, f_measure: 0.6719, kappa: 0.3435, kb_relative_information_score: 183.2985, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.6719, predictive_accuracy: 0.672, prior_entropy: 0.9997, recall: 0.672, relative_absolute_error: 0.8409, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9166, scimark_benchmark: 903.2737, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.6797, kappa: 0.3592, kb_relative_information_score: 263.5647, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.68, predictive_accuracy: 0.68, prior_entropy: 0.9997, recall: 0.68, relative_absolute_error: 0.7554, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9191, scimark_benchmark: 938.4601, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.6365, kappa: 0.2756, kb_relative_information_score: 189.7884, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.641, predictive_accuracy: 0.639, prior_entropy: 0.9997, recall: 0.639, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.973, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5962, f_measure: 0.591, kappa: 0.1818, kb_relative_information_score: 147.4698, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.5911, predictive_accuracy: 0.591, prior_entropy: 0.9997, recall: 0.591, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5662, root_relative_squared_error: 1.1326, scimark_benchmark: 945.6228, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7249, f_measure: 0.6517, kappa: 0.3031, kb_relative_information_score: 116.3864, mean_absolute_error: 0.4526, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.652, predictive_accuracy: 0.652, prior_entropy: 0.9997, recall: 0.652, relative_absolute_error: 0.9055, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9309, scimark_benchmark: 936.9595, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7185, kappa: 0.437, kb_relative_information_score: 224.7091, mean_absolute_error: 0.4042, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.7196, predictive_accuracy: 0.719, prior_entropy: 0.9997, recall: 0.719, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.8629, scimark_benchmark: 901.4991, usercpu_time_millis: 2870, usercpu_time_millis_testing: 1140, usercpu_time_millis_training: 1730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7146, kappa: 0.4292, kb_relative_information_score: 219.9859, mean_absolute_error: 0.406, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.7153, predictive_accuracy: 0.715, prior_entropy: 0.9997, recall: 0.715, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.8692, scimark_benchmark: 933.3455, usercpu_time_millis: 1550, usercpu_time_millis_testing: 690, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.7065, kappa: 0.413, kb_relative_information_score: 222.7834, mean_absolute_error: 0.4038, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.7075, predictive_accuracy: 0.707, prior_entropy: 0.9997, recall: 0.707, relative_absolute_error: 0.8079, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.8708, scimark_benchmark: 905.3417, usercpu_time_millis: 650, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7709, f_measure: 0.7065, kappa: 0.413, kb_relative_information_score: 215.4297, mean_absolute_error: 0.4065, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.7074, predictive_accuracy: 0.707, prior_entropy: 0.9997, recall: 0.707, relative_absolute_error: 0.8134, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8856, scimark_benchmark: 944.235, usercpu_time_millis: 300, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.7078, kappa: 0.4154, kb_relative_information_score: 220.2522, mean_absolute_error: 0.403, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.708, predictive_accuracy: 0.708, prior_entropy: 0.9997, recall: 0.708, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4495, root_relative_squared_error: 0.8993, scimark_benchmark: 905.3417, usercpu_time_millis: 140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.621, kappa: 0.2417, kb_relative_information_score: 248.2826, mean_absolute_error: 0.3759, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.621, predictive_accuracy: 0.621, prior_entropy: 0.9997, recall: 0.621, relative_absolute_error: 0.7521, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5881, root_relative_squared_error: 1.1763, scimark_benchmark: 936.1714, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.617, kappa: 0.234, kb_relative_information_score: 242.4207, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.6172, predictive_accuracy: 0.617, prior_entropy: 0.9997, recall: 0.617, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5858, root_relative_squared_error: 1.1719, scimark_benchmark: 889.4922, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.627, kappa: 0.2539, kb_relative_information_score: 249.6872, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.6271, predictive_accuracy: 0.627, prior_entropy: 0.9997, recall: 0.627, relative_absolute_error: 0.7511, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.576, root_relative_squared_error: 1.1523, scimark_benchmark: 894.7131, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.652, kappa: 0.3038, kb_relative_information_score: 279.3678, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.652, predictive_accuracy: 0.652, prior_entropy: 0.9997, recall: 0.652, relative_absolute_error: 0.7252, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5431, root_relative_squared_error: 1.0865, scimark_benchmark: 941.9549, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.645, kappa: 0.29, kb_relative_information_score: 264.1109, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.6452, predictive_accuracy: 0.645, prior_entropy: 0.9997, recall: 0.645, relative_absolute_error: 0.7414, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5233, root_relative_squared_error: 1.0468, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.482, f_measure: 0.3445, kb_relative_information_score: -0.5715, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.2601, predictive_accuracy: 0.51, prior_entropy: 0.9997, recall: 0.51, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0004, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, f_measure: 0.64, kappa: 0.2802, kb_relative_information_score: 275.2111, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.6404, predictive_accuracy: 0.64, prior_entropy: 0.9997, recall: 0.64, relative_absolute_error: 0.7255, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5838, root_relative_squared_error: 1.1678, scimark_benchmark: 941.9549, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, f_measure: 0.657, kappa: 0.3144, kb_relative_information_score: 307.8606, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.6577, predictive_accuracy: 0.657, prior_entropy: 0.9997, recall: 0.657, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.1206, scimark_benchmark: 938.3115, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.6365, kappa: 0.2756, kb_relative_information_score: 189.7884, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.641, predictive_accuracy: 0.639, prior_entropy: 0.9997, recall: 0.639, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.973, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.6365, kappa: 0.2756, kb_relative_information_score: 189.7884, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.641, predictive_accuracy: 0.639, prior_entropy: 0.9997, recall: 0.639, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.973, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.6365, kappa: 0.2756, kb_relative_information_score: 189.7884, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.641, predictive_accuracy: 0.639, prior_entropy: 0.9997, recall: 0.639, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.973, scimark_benchmark: 1349.1517, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.6365, kappa: 0.2756, kb_relative_information_score: 189.7884, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.641, predictive_accuracy: 0.639, prior_entropy: 0.9997, recall: 0.639, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.973, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6811, f_measure: 0.6365, kappa: 0.2756, kb_relative_information_score: 189.1062, mean_absolute_error: 0.4127, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.641, predictive_accuracy: 0.639, prior_entropy: 0.9997, recall: 0.639, relative_absolute_error: 0.8257, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4863, root_relative_squared_error: 0.9728, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.6365, kappa: 0.2756, kb_relative_information_score: 189.7884, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.641, predictive_accuracy: 0.639, prior_entropy: 0.9997, recall: 0.639, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.973, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.6365, kappa: 0.2756, kb_relative_information_score: 189.7884, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.641, predictive_accuracy: 0.639, prior_entropy: 0.9997, recall: 0.639, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.973, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.6365, kappa: 0.2756, kb_relative_information_score: 189.7884, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.641, predictive_accuracy: 0.639, prior_entropy: 0.9997, recall: 0.639, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.973, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.6797, kappa: 0.3592, kb_relative_information_score: 263.5647, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.68, predictive_accuracy: 0.68, prior_entropy: 0.9997, recall: 0.68, relative_absolute_error: 0.7554, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9191, scimark_benchmark: 1332.7986, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.6365, kappa: 0.2756, kb_relative_information_score: 189.7884, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.641, predictive_accuracy: 0.639, prior_entropy: 0.9997, recall: 0.639, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.973, scimark_benchmark: 1332.1612, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6811, f_measure: 0.6365, kappa: 0.2756, kb_relative_information_score: 189.1062, mean_absolute_error: 0.4127, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.641, predictive_accuracy: 0.639, prior_entropy: 0.9997, recall: 0.639, relative_absolute_error: 0.8257, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4863, root_relative_squared_error: 0.9728, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.6365, kappa: 0.2756, kb_relative_information_score: 189.7884, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.641, predictive_accuracy: 0.639, prior_entropy: 0.9997, recall: 0.639, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.973, scimark_benchmark: 1323.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5962, f_measure: 0.591, kappa: 0.1818, kb_relative_information_score: 147.4698, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.5911, predictive_accuracy: 0.591, prior_entropy: 0.9997, recall: 0.591, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5662, root_relative_squared_error: 1.1326, scimark_benchmark: 1320.8283, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7249, f_measure: 0.6517, kappa: 0.3031, kb_relative_information_score: 116.3864, mean_absolute_error: 0.4526, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.652, predictive_accuracy: 0.652, prior_entropy: 0.9997, recall: 0.652, relative_absolute_error: 0.9055, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9309, scimark_benchmark: 1336.5541, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7029, f_measure: 0.6527, kappa: 0.3051, kb_relative_information_score: 297.0484, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.653, predictive_accuracy: 0.653, prior_entropy: 0.9997, recall: 0.653, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5691, root_relative_squared_error: 1.1384, scimark_benchmark: 1417.3093, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6801, f_measure: 0.632, kappa: 0.2636, kb_relative_information_score: 237.2189, mean_absolute_error: 0.3843, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.632, predictive_accuracy: 0.632, prior_entropy: 0.9997, recall: 0.632, relative_absolute_error: 0.7688, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5383, root_relative_squared_error: 1.0769, scimark_benchmark: 1346.0226, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7573, f_measure: 0.6968, kappa: 0.3933, kb_relative_information_score: 289.041, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.697, predictive_accuracy: 0.697, prior_entropy: 0.9997, recall: 0.697, relative_absolute_error: 0.7296, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9108, scimark_benchmark: 1337.1928, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6811, f_measure: 0.6365, kappa: 0.2756, kb_relative_information_score: 189.1062, mean_absolute_error: 0.4127, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.641, predictive_accuracy: 0.639, prior_entropy: 0.9997, recall: 0.639, relative_absolute_error: 0.8257, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4863, root_relative_squared_error: 0.9728, scimark_benchmark: 1325.6322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7309, f_measure: 0.6719, kappa: 0.3435, kb_relative_information_score: 183.2985, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.6719, predictive_accuracy: 0.672, prior_entropy: 0.9997, recall: 0.672, relative_absolute_error: 0.8409, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9166, scimark_benchmark: 1396.1629, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.6365, kappa: 0.2756, kb_relative_information_score: 189.7884, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.641, predictive_accuracy: 0.639, prior_entropy: 0.9997, recall: 0.639, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.973, scimark_benchmark: 1347.7267, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, f_measure: 0.6568, kappa: 0.3133, kb_relative_information_score: 154.02, mean_absolute_error: 0.4338, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.6569, predictive_accuracy: 0.657, prior_entropy: 0.9997, recall: 0.657, relative_absolute_error: 0.8679, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9286, scimark_benchmark: 1330.8256, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, f_measure: 0.6379, kappa: 0.2754, kb_relative_information_score: 231.7776, mean_absolute_error: 0.3903, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.6379, predictive_accuracy: 0.638, prior_entropy: 0.9997, recall: 0.638, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9883, scimark_benchmark: 1351.5471, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.6365, kappa: 0.2756, kb_relative_information_score: 189.7884, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.641, predictive_accuracy: 0.639, prior_entropy: 0.9997, recall: 0.639, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.973, scimark_benchmark: 1397.3209, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs