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Supervised Classification on fri_c2_1000_25

Supervised Classification on fri_c2_1000_25

Task 4471 Supervised Classification fri_c2_1000_25 202 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.8708, kappa: 0.7368, kb_relative_information_score: 6518.6567, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.871, predictive_accuracy: 0.8711, prior_entropy: 0.9886, recall: 0.8711, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.6457, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8689, kappa: 0.7335, kb_relative_information_score: 5361.7004, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8688, predictive_accuracy: 0.8689, prior_entropy: 0.9886, recall: 0.8689, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.6426, scimark_benchmark: 972.587, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8802, kappa: 0.7563, kb_relative_information_score: 6568.0083, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8802, predictive_accuracy: 0.8803, prior_entropy: 0.9886, recall: 0.8803, relative_absolute_error: 0.3676, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.6101, scimark_benchmark: 934.3687, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.7455, kappa: 0.4839, kb_relative_information_score: 4781.218, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.7463, predictive_accuracy: 0.745, prior_entropy: 0.9886, recall: 0.745, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0181, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.7455, kappa: 0.4839, kb_relative_information_score: 4781.218, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.7463, predictive_accuracy: 0.745, prior_entropy: 0.9886, recall: 0.745, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0181, scimark_benchmark: 916.0735, usercpu_time_millis: 530, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8715, kappa: 0.7391, kb_relative_information_score: 6713.8495, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8717, predictive_accuracy: 0.8714, prior_entropy: 0.9886, recall: 0.8714, relative_absolute_error: 0.3427, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6251, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8715, kappa: 0.7391, kb_relative_information_score: 6713.8495, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8717, predictive_accuracy: 0.8714, prior_entropy: 0.9886, recall: 0.8714, relative_absolute_error: 0.3427, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6251, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8715, kappa: 0.7391, kb_relative_information_score: 6713.8495, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8717, predictive_accuracy: 0.8714, prior_entropy: 0.9886, recall: 0.8714, relative_absolute_error: 0.3427, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6251, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.8902, kappa: 0.7765, kb_relative_information_score: 6798.0104, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8902, predictive_accuracy: 0.8903, prior_entropy: 0.9886, recall: 0.8903, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.5671, scimark_benchmark: 941.6675, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.6815, kappa: 0.353, kb_relative_information_score: 2659.2264, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.6816, predictive_accuracy: 0.6813, prior_entropy: 0.9886, recall: 0.6813, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9201, scimark_benchmark: 934.3687, usercpu_time_millis: 42850, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 42520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.868, kappa: 0.7319, kb_relative_information_score: 6836.6936, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8681, predictive_accuracy: 0.8679, prior_entropy: 0.9886, recall: 0.8679, relative_absolute_error: 0.3287, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6555, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.7455, kappa: 0.4839, kb_relative_information_score: 4781.218, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.7463, predictive_accuracy: 0.745, prior_entropy: 0.9886, recall: 0.745, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0181, scimark_benchmark: 936.3373, usercpu_time_millis: 530, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.7455, kappa: 0.4839, kb_relative_information_score: 4781.218, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.7463, predictive_accuracy: 0.745, prior_entropy: 0.9886, recall: 0.745, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0181, scimark_benchmark: 944.1783, usercpu_time_millis: 510, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8578, kappa: 0.7111, kb_relative_information_score: 6540.3363, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8578, predictive_accuracy: 0.8577, prior_entropy: 0.9886, recall: 0.8577, relative_absolute_error: 0.3584, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6517, scimark_benchmark: 932.438, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8715, kappa: 0.7391, kb_relative_information_score: 6713.8495, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8717, predictive_accuracy: 0.8714, prior_entropy: 0.9886, recall: 0.8714, relative_absolute_error: 0.3427, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6251, scimark_benchmark: 941.3847, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.8925, kappa: 0.7815, kb_relative_information_score: 5605.2244, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8925, predictive_accuracy: 0.8926, prior_entropy: 0.9886, recall: 0.8926, relative_absolute_error: 0.4853, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3, root_relative_squared_error: 0.6047, scimark_benchmark: 947.1781, usercpu_time_millis: 510, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.8708, kappa: 0.7368, kb_relative_information_score: 6518.6567, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.871, predictive_accuracy: 0.8711, prior_entropy: 0.9886, recall: 0.8711, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.6457, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8689, kappa: 0.7335, kb_relative_information_score: 5361.7004, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8688, predictive_accuracy: 0.8689, prior_entropy: 0.9886, recall: 0.8689, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.6426, scimark_benchmark: 908.9569, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8802, kappa: 0.7563, kb_relative_information_score: 6568.0083, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8802, predictive_accuracy: 0.8803, prior_entropy: 0.9886, recall: 0.8803, relative_absolute_error: 0.3676, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.6101, scimark_benchmark: 938.1282, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.7455, kappa: 0.4839, kb_relative_information_score: 4781.218, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.7463, predictive_accuracy: 0.745, prior_entropy: 0.9886, recall: 0.745, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0181, scimark_benchmark: 904.5548, usercpu_time_millis: 530, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8715, kappa: 0.7391, kb_relative_information_score: 6713.8495, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8717, predictive_accuracy: 0.8714, prior_entropy: 0.9886, recall: 0.8714, relative_absolute_error: 0.3427, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6251, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8715, kappa: 0.7391, kb_relative_information_score: 6713.8495, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8717, predictive_accuracy: 0.8714, prior_entropy: 0.9886, recall: 0.8714, relative_absolute_error: 0.3427, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6251, scimark_benchmark: 930.404, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.8902, kappa: 0.7765, kb_relative_information_score: 6798.0104, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8902, predictive_accuracy: 0.8903, prior_entropy: 0.9886, recall: 0.8903, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.5671, scimark_benchmark: 930.404, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.6815, kappa: 0.353, kb_relative_information_score: 2659.2264, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.6816, predictive_accuracy: 0.6813, prior_entropy: 0.9886, recall: 0.6813, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9201, scimark_benchmark: 931.7096, usercpu_time_millis: 38200, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 37910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8715, kappa: 0.7391, kb_relative_information_score: 6713.8495, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8717, predictive_accuracy: 0.8714, prior_entropy: 0.9886, recall: 0.8714, relative_absolute_error: 0.3427, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6251, scimark_benchmark: 936.9595, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.868, kappa: 0.7319, kb_relative_information_score: 6836.6936, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8681, predictive_accuracy: 0.8679, prior_entropy: 0.9886, recall: 0.8679, relative_absolute_error: 0.3287, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6555, scimark_benchmark: 936.9595, usercpu_time_millis: 570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.8925, kappa: 0.7815, kb_relative_information_score: 5605.2244, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8925, predictive_accuracy: 0.8926, prior_entropy: 0.9886, recall: 0.8926, relative_absolute_error: 0.4853, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3, root_relative_squared_error: 0.6047, scimark_benchmark: 941.4991, usercpu_time_millis: 510, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.887, kappa: 0.7706, kb_relative_information_score: 4968.9775, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8873, predictive_accuracy: 0.8868, prior_entropy: 0.9886, recall: 0.8868, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.6435, scimark_benchmark: 908.9569, usercpu_time_millis: 21040, usercpu_time_millis_testing: 10230, usercpu_time_millis_training: 10810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.8827, kappa: 0.762, kb_relative_information_score: 4956.8787, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.883, predictive_accuracy: 0.8826, prior_entropy: 0.9886, recall: 0.8826, relative_absolute_error: 0.5557, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.6465, scimark_benchmark: 934.695, usercpu_time_millis: 7490, usercpu_time_millis_testing: 2450, usercpu_time_millis_training: 5040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.881, kappa: 0.7584, kb_relative_information_score: 4954.9571, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8812, predictive_accuracy: 0.8809, prior_entropy: 0.9886, recall: 0.8809, relative_absolute_error: 0.5548, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.6496, scimark_benchmark: 593.4115, usercpu_time_millis: 3210, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 2600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8678, kappa: 0.7316, kb_relative_information_score: 4846.7055, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8681, predictive_accuracy: 0.8676, prior_entropy: 0.9886, recall: 0.8676, relative_absolute_error: 0.562, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.6668, scimark_benchmark: 921.2615, usercpu_time_millis: 1850, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 1460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8517, kappa: 0.6988, kb_relative_information_score: 4763.9294, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8518, predictive_accuracy: 0.8517, prior_entropy: 0.9886, recall: 0.8517, relative_absolute_error: 0.5654, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.6889, scimark_benchmark: 899.0468, usercpu_time_millis: 760, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.8585, kappa: 0.7126, kb_relative_information_score: 6231.5376, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8586, predictive_accuracy: 0.8585, prior_entropy: 0.9886, recall: 0.8585, relative_absolute_error: 0.398, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6323, scimark_benchmark: 936.1714, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.8585, kappa: 0.7126, kb_relative_information_score: 6231.5376, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8586, predictive_accuracy: 0.8585, prior_entropy: 0.9886, recall: 0.8585, relative_absolute_error: 0.398, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6323, scimark_benchmark: 938.3115, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.8585, kappa: 0.7126, kb_relative_information_score: 6231.5376, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8586, predictive_accuracy: 0.8585, prior_entropy: 0.9886, recall: 0.8585, relative_absolute_error: 0.398, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6323, scimark_benchmark: 894.7131, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8586, kappa: 0.7128, kb_relative_information_score: 6231.8667, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8587, predictive_accuracy: 0.8586, prior_entropy: 0.9886, recall: 0.8586, relative_absolute_error: 0.398, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6321, scimark_benchmark: 936.1714, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8491, kappa: 0.6934, kb_relative_information_score: 5796.0741, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8491, predictive_accuracy: 0.8491, prior_entropy: 0.9886, recall: 0.8491, relative_absolute_error: 0.4463, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6554, scimark_benchmark: 929.0296, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.8387, kappa: 0.6726, kb_relative_information_score: 6638.1463, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.839, predictive_accuracy: 0.8386, prior_entropy: 0.9886, recall: 0.8386, relative_absolute_error: 0.3359, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.7316, scimark_benchmark: 935.6052, usercpu_time_millis: 400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 390,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8802, kappa: 0.7563, kb_relative_information_score: 6568.0083, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8802, predictive_accuracy: 0.8803, prior_entropy: 0.9886, recall: 0.8803, relative_absolute_error: 0.3676, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.6101, scimark_benchmark: 930.0829, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8715, kappa: 0.7391, kb_relative_information_score: 6713.8495, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8717, predictive_accuracy: 0.8714, prior_entropy: 0.9886, recall: 0.8714, relative_absolute_error: 0.3427, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6251, scimark_benchmark: 1286.2211, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8715, kappa: 0.7391, kb_relative_information_score: 6713.8495, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8717, predictive_accuracy: 0.8714, prior_entropy: 0.9886, recall: 0.8714, relative_absolute_error: 0.3427, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6251, scimark_benchmark: 1347.6543, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.8902, kappa: 0.7765, kb_relative_information_score: 6798.0104, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8902, predictive_accuracy: 0.8903, prior_entropy: 0.9886, recall: 0.8903, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.5671, scimark_benchmark: 1347.6543, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8715, kappa: 0.7391, kb_relative_information_score: 6713.8495, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8717, predictive_accuracy: 0.8714, prior_entropy: 0.9886, recall: 0.8714, relative_absolute_error: 0.3427, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6251, scimark_benchmark: 1331.7953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.8708, kappa: 0.7368, kb_relative_information_score: 6518.6567, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.871, predictive_accuracy: 0.8711, prior_entropy: 0.9886, recall: 0.8711, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.6457, scimark_benchmark: 1322.3407, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8578, kappa: 0.7111, kb_relative_information_score: 6540.3363, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8578, predictive_accuracy: 0.8577, prior_entropy: 0.9886, recall: 0.8577, relative_absolute_error: 0.3584, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6517, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8715, kappa: 0.7391, kb_relative_information_score: 6713.8495, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8717, predictive_accuracy: 0.8714, prior_entropy: 0.9886, recall: 0.8714, relative_absolute_error: 0.3427, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6251, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8578, kappa: 0.7111, kb_relative_information_score: 6540.3363, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8578, predictive_accuracy: 0.8577, prior_entropy: 0.9886, recall: 0.8577, relative_absolute_error: 0.3584, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6517, scimark_benchmark: 1309.0674, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8715, kappa: 0.7391, kb_relative_information_score: 6713.8495, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8717, predictive_accuracy: 0.8714, prior_entropy: 0.9886, recall: 0.8714, relative_absolute_error: 0.3427, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6251, scimark_benchmark: 1350.2591, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8715, kappa: 0.7391, kb_relative_information_score: 6713.8495, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8717, predictive_accuracy: 0.8714, prior_entropy: 0.9886, recall: 0.8714, relative_absolute_error: 0.3427, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6251, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8715, kappa: 0.7391, kb_relative_information_score: 6713.8495, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8717, predictive_accuracy: 0.8714, prior_entropy: 0.9886, recall: 0.8714, relative_absolute_error: 0.3427, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6251, scimark_benchmark: 1322.3407, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.868, kappa: 0.7319, kb_relative_information_score: 6836.6936, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8681, predictive_accuracy: 0.8679, prior_entropy: 0.9886, recall: 0.8679, relative_absolute_error: 0.3287, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6555, scimark_benchmark: 1375.1578, usercpu_time_millis: 550, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.8708, kappa: 0.7368, kb_relative_information_score: 6518.6567, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.871, predictive_accuracy: 0.8711, prior_entropy: 0.9886, recall: 0.8711, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.6457, scimark_benchmark: 1336.0954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8689, kappa: 0.7335, kb_relative_information_score: 5361.7004, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8688, predictive_accuracy: 0.8689, prior_entropy: 0.9886, recall: 0.8689, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.6426, scimark_benchmark: 1319.4538, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.7455, kappa: 0.4839, kb_relative_information_score: 4781.218, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.7463, predictive_accuracy: 0.745, prior_entropy: 0.9886, recall: 0.745, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0181, scimark_benchmark: 1331.2559, usercpu_time_millis: 500, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.8902, kappa: 0.7765, kb_relative_information_score: 6798.0104, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8902, predictive_accuracy: 0.8903, prior_entropy: 0.9886, recall: 0.8903, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.5671, scimark_benchmark: 1342.8584, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.6815, kappa: 0.353, kb_relative_information_score: 2659.2264, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.6816, predictive_accuracy: 0.6813, prior_entropy: 0.9886, recall: 0.6813, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9201, scimark_benchmark: 1333.202, usercpu_time_millis: 23850, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 23650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8715, kappa: 0.7391, kb_relative_information_score: 6713.8495, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8717, predictive_accuracy: 0.8714, prior_entropy: 0.9886, recall: 0.8714, relative_absolute_error: 0.3427, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6251, scimark_benchmark: 1339.2472, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.6815, kappa: 0.353, kb_relative_information_score: 2659.2264, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.6816, predictive_accuracy: 0.6813, prior_entropy: 0.9886, recall: 0.6813, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9201, scimark_benchmark: 1342.8584, usercpu_time_millis: 24610, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 24400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8578, kappa: 0.7111, kb_relative_information_score: 6540.3363, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8578, predictive_accuracy: 0.8577, prior_entropy: 0.9886, recall: 0.8577, relative_absolute_error: 0.3584, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6517, scimark_benchmark: 1326.2019, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8715, kappa: 0.7391, kb_relative_information_score: 6713.8495, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8717, predictive_accuracy: 0.8714, prior_entropy: 0.9886, recall: 0.8714, relative_absolute_error: 0.3427, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6251, scimark_benchmark: 1326.2019, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8715, kappa: 0.7391, kb_relative_information_score: 6713.8495, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8717, predictive_accuracy: 0.8714, prior_entropy: 0.9886, recall: 0.8714, relative_absolute_error: 0.3427, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6251, scimark_benchmark: 1317.5348, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.868, kappa: 0.7319, kb_relative_information_score: 6836.6936, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8681, predictive_accuracy: 0.8679, prior_entropy: 0.9886, recall: 0.8679, relative_absolute_error: 0.3287, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6555, scimark_benchmark: 1320.8283, usercpu_time_millis: 590, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.8925, kappa: 0.7815, kb_relative_information_score: 5605.2244, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8925, predictive_accuracy: 0.8926, prior_entropy: 0.9886, recall: 0.8926, relative_absolute_error: 0.4853, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3, root_relative_squared_error: 0.6047, scimark_benchmark: 1332.6745, usercpu_time_millis: 470, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.8708, kappa: 0.7368, kb_relative_information_score: 6518.6567, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.871, predictive_accuracy: 0.8711, prior_entropy: 0.9886, recall: 0.8711, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.6457, scimark_benchmark: 1313.8988, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8689, kappa: 0.7335, kb_relative_information_score: 5361.7004, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8688, predictive_accuracy: 0.8689, prior_entropy: 0.9886, recall: 0.8689, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.6426, scimark_benchmark: 1339.8573, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8802, kappa: 0.7563, kb_relative_information_score: 6568.0083, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8802, predictive_accuracy: 0.8803, prior_entropy: 0.9886, recall: 0.8803, relative_absolute_error: 0.3676, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.6101, scimark_benchmark: 1309.4708, usercpu_time_millis: 220, usercpu_time_millis_training: 220,

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