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Supervised Classification on fri_c2_500_50

Supervised Classification on fri_c2_500_50

Task 4488 Supervised Classification fri_c2_500_50 220 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.872, kappa: 0.7344, kb_relative_information_score: 3281.7085, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8723, predictive_accuracy: 0.8726, prior_entropy: 0.9767, recall: 0.8726, relative_absolute_error: 0.3622, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6589, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8879, kappa: 0.7673, kb_relative_information_score: 2918.8241, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8887, predictive_accuracy: 0.8886, prior_entropy: 0.9767, recall: 0.8886, relative_absolute_error: 0.4531, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6273, scimark_benchmark: 972.587, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.8866, kappa: 0.765, kb_relative_information_score: 3338.3491, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8867, predictive_accuracy: 0.887, prior_entropy: 0.9767, recall: 0.887, relative_absolute_error: 0.3546, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.6076, scimark_benchmark: 934.3687, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.7467, kappa: 0.4761, kb_relative_information_score: 2345.5113, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.7465, predictive_accuracy: 0.7468, prior_entropy: 0.9767, recall: 0.7468, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.0231, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.7467, kappa: 0.4761, kb_relative_information_score: 2345.5113, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.7465, predictive_accuracy: 0.7468, prior_entropy: 0.9767, recall: 0.7468, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.0231, scimark_benchmark: 904.0772, usercpu_time_millis: 290, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8752, kappa: 0.741, kb_relative_information_score: 3357.9642, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8756, predictive_accuracy: 0.8758, prior_entropy: 0.9767, recall: 0.8758, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6523, 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: 0.9119, f_measure: 0.8752, kappa: 0.741, kb_relative_information_score: 3357.9642, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8756, predictive_accuracy: 0.8758, prior_entropy: 0.9767, recall: 0.8758, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6523, 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: 0.9119, f_measure: 0.8752, kappa: 0.741, kb_relative_information_score: 3357.9642, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8756, predictive_accuracy: 0.8758, prior_entropy: 0.9767, recall: 0.8758, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6523, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8752, kappa: 0.741, kb_relative_information_score: 3357.9642, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8756, predictive_accuracy: 0.8758, prior_entropy: 0.9767, recall: 0.8758, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6523, 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: 0.9442, f_measure: 0.8881, kappa: 0.7673, kb_relative_information_score: 3264.738, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8911, predictive_accuracy: 0.8894, prior_entropy: 0.9767, recall: 0.8894, relative_absolute_error: 0.3755, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.5929, scimark_benchmark: 941.6675, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.7204, kappa: 0.4202, kb_relative_information_score: 1538.4021, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.7198, predictive_accuracy: 0.7216, prior_entropy: 0.9767, recall: 0.7216, relative_absolute_error: 0.7069, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9106, scimark_benchmark: 934.2976, usercpu_time_millis: 1640, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 1450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.8764, kappa: 0.7442, kb_relative_information_score: 3412.5674, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8763, predictive_accuracy: 0.8766, prior_entropy: 0.9767, recall: 0.8766, relative_absolute_error: 0.3313, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.652, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.7467, kappa: 0.4761, kb_relative_information_score: 2345.5113, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.7465, predictive_accuracy: 0.7468, prior_entropy: 0.9767, recall: 0.7468, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.0231, scimark_benchmark: 936.3373, usercpu_time_millis: 290, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.7467, kappa: 0.4761, kb_relative_information_score: 2345.5113, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.7465, predictive_accuracy: 0.7468, prior_entropy: 0.9767, recall: 0.7468, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.0231, scimark_benchmark: 944.1783, usercpu_time_millis: 270, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8752, kappa: 0.741, kb_relative_information_score: 3357.9642, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8756, predictive_accuracy: 0.8758, prior_entropy: 0.9767, recall: 0.8758, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6523, scimark_benchmark: 974.2014, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.861, kappa: 0.7122, kb_relative_information_score: 2077.8906, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8609, predictive_accuracy: 0.8612, prior_entropy: 0.9767, recall: 0.8612, relative_absolute_error: 0.6358, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7124, scimark_benchmark: 937.5117, usercpu_time_millis: 260, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.872, kappa: 0.7344, kb_relative_information_score: 3281.7085, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8723, predictive_accuracy: 0.8726, prior_entropy: 0.9767, recall: 0.8726, relative_absolute_error: 0.3622, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6589, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8879, kappa: 0.7673, kb_relative_information_score: 2918.8241, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8887, predictive_accuracy: 0.8886, prior_entropy: 0.9767, recall: 0.8886, relative_absolute_error: 0.4531, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6273, scimark_benchmark: 908.9569, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.8866, kappa: 0.765, kb_relative_information_score: 3338.3491, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8867, predictive_accuracy: 0.887, prior_entropy: 0.9767, recall: 0.887, relative_absolute_error: 0.3546, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.6076, scimark_benchmark: 938.1282, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.7467, kappa: 0.4761, kb_relative_information_score: 2345.5113, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.7465, predictive_accuracy: 0.7468, prior_entropy: 0.9767, recall: 0.7468, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.0231, scimark_benchmark: 904.5548, usercpu_time_millis: 280, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8752, kappa: 0.741, kb_relative_information_score: 3357.9642, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8756, predictive_accuracy: 0.8758, prior_entropy: 0.9767, recall: 0.8758, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6523, scimark_benchmark: 930.404, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8752, kappa: 0.741, kb_relative_information_score: 3357.9642, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8756, predictive_accuracy: 0.8758, prior_entropy: 0.9767, recall: 0.8758, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6523, scimark_benchmark: 903.2737, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.8881, kappa: 0.7673, kb_relative_information_score: 3264.738, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8911, predictive_accuracy: 0.8894, prior_entropy: 0.9767, recall: 0.8894, relative_absolute_error: 0.3755, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.5929, scimark_benchmark: 941.4991, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.7204, kappa: 0.4202, kb_relative_information_score: 1538.4021, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.7198, predictive_accuracy: 0.7216, prior_entropy: 0.9767, recall: 0.7216, relative_absolute_error: 0.7069, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9106, scimark_benchmark: 919.3788, usercpu_time_millis: 2360, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 2270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8752, kappa: 0.741, kb_relative_information_score: 3357.9642, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8756, predictive_accuracy: 0.8758, prior_entropy: 0.9767, recall: 0.8758, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6523, scimark_benchmark: 936.9595, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.8764, kappa: 0.7442, kb_relative_information_score: 3412.5674, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8763, predictive_accuracy: 0.8766, prior_entropy: 0.9767, recall: 0.8766, relative_absolute_error: 0.3313, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.652, scimark_benchmark: 936.9595, usercpu_time_millis: 520, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.861, kappa: 0.7122, kb_relative_information_score: 2077.8906, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8609, predictive_accuracy: 0.8612, prior_entropy: 0.9767, recall: 0.8612, relative_absolute_error: 0.6358, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7124, scimark_benchmark: 917.5013, usercpu_time_millis: 300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.8642, kappa: 0.7194, kb_relative_information_score: 2132.9255, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8643, predictive_accuracy: 0.8642, prior_entropy: 0.9767, recall: 0.8642, relative_absolute_error: 0.622, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.7099, scimark_benchmark: 935.5664, usercpu_time_millis: 13920, usercpu_time_millis_testing: 5280, usercpu_time_millis_training: 8640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8587, kappa: 0.7078, kb_relative_information_score: 2117.4158, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8586, predictive_accuracy: 0.8588, prior_entropy: 0.9767, recall: 0.8588, relative_absolute_error: 0.6242, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7137, scimark_benchmark: 934.695, usercpu_time_millis: 6930, usercpu_time_millis_testing: 2530, usercpu_time_millis_training: 4400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.8425, kappa: 0.674, kb_relative_information_score: 2092.2343, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8424, predictive_accuracy: 0.8428, prior_entropy: 0.9767, recall: 0.8428, relative_absolute_error: 0.6234, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7296, scimark_benchmark: 906.8974, usercpu_time_millis: 1410, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.8192, kappa: 0.6255, kb_relative_information_score: 2045.8432, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.819, predictive_accuracy: 0.8196, prior_entropy: 0.9767, recall: 0.8196, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7549, scimark_benchmark: 920.3788, usercpu_time_millis: 680, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.8549, kappa: 0.6989, kb_relative_information_score: 2854.5591, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8551, predictive_accuracy: 0.8556, prior_entropy: 0.9767, recall: 0.8556, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.6703, scimark_benchmark: 941.9549, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.8549, kappa: 0.6989, kb_relative_information_score: 2854.5591, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8551, predictive_accuracy: 0.8556, prior_entropy: 0.9767, recall: 0.8556, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.6703, scimark_benchmark: 930.0565, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.8549, kappa: 0.6989, kb_relative_information_score: 2854.5591, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8551, predictive_accuracy: 0.8556, prior_entropy: 0.9767, recall: 0.8556, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.6703, scimark_benchmark: 894.7131, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.8549, kappa: 0.6989, kb_relative_information_score: 2854.5591, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8551, predictive_accuracy: 0.8556, prior_entropy: 0.9767, recall: 0.8556, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.6703, scimark_benchmark: 936.1714, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8551, kappa: 0.6994, kb_relative_information_score: 2851.2308, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8553, predictive_accuracy: 0.8558, prior_entropy: 0.9767, recall: 0.8558, relative_absolute_error: 0.4541, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6699, scimark_benchmark: 936.1714, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4897, f_measure: 0.4379, kb_relative_information_score: -0.9909, mean_absolute_error: 0.4839, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.3481, predictive_accuracy: 0.59, prior_entropy: 0.9767, recall: 0.59, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4919, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8752, kappa: 0.741, kb_relative_information_score: 3357.9642, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8756, predictive_accuracy: 0.8758, prior_entropy: 0.9767, recall: 0.8758, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6523, scimark_benchmark: 1324.8408, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.872, kappa: 0.7344, kb_relative_information_score: 3281.7085, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8723, predictive_accuracy: 0.8726, prior_entropy: 0.9767, recall: 0.8726, relative_absolute_error: 0.3622, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6589, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8752, kappa: 0.741, kb_relative_information_score: 3357.9642, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8756, predictive_accuracy: 0.8758, prior_entropy: 0.9767, recall: 0.8758, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6523, scimark_benchmark: 1324.6442, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8752, kappa: 0.741, kb_relative_information_score: 3357.9642, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8756, predictive_accuracy: 0.8758, prior_entropy: 0.9767, recall: 0.8758, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6523, 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: 0.9119, f_measure: 0.8752, kappa: 0.741, kb_relative_information_score: 3357.9642, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8756, predictive_accuracy: 0.8758, prior_entropy: 0.9767, recall: 0.8758, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6523, scimark_benchmark: 1340.9749, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.872, kappa: 0.7344, kb_relative_information_score: 3281.7085, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8723, predictive_accuracy: 0.8726, prior_entropy: 0.9767, recall: 0.8726, relative_absolute_error: 0.3622, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6589, scimark_benchmark: 1310.3168, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8755, kappa: 0.7417, kb_relative_information_score: 3330.4337, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.876, predictive_accuracy: 0.8762, prior_entropy: 0.9767, recall: 0.8762, relative_absolute_error: 0.3493, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6647, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8752, kappa: 0.741, kb_relative_information_score: 3357.9642, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8756, predictive_accuracy: 0.8758, prior_entropy: 0.9767, recall: 0.8758, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6523, scimark_benchmark: 1319.4538, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8752, kappa: 0.741, kb_relative_information_score: 3357.9642, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8756, predictive_accuracy: 0.8758, prior_entropy: 0.9767, recall: 0.8758, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6523, scimark_benchmark: 1319.4538, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.7204, kappa: 0.4202, kb_relative_information_score: 1538.4021, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.7198, predictive_accuracy: 0.7216, prior_entropy: 0.9767, recall: 0.7216, relative_absolute_error: 0.7069, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9106, scimark_benchmark: 1325.8468, usercpu_time_millis: 1190, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8752, kappa: 0.741, kb_relative_information_score: 3357.9642, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8756, predictive_accuracy: 0.8758, prior_entropy: 0.9767, recall: 0.8758, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6523, scimark_benchmark: 1332.1612, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8879, kappa: 0.7673, kb_relative_information_score: 2918.8241, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8887, predictive_accuracy: 0.8886, prior_entropy: 0.9767, recall: 0.8886, relative_absolute_error: 0.4531, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6273, scimark_benchmark: 1314.2279, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8755, kappa: 0.7417, kb_relative_information_score: 3330.4337, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.876, predictive_accuracy: 0.8762, prior_entropy: 0.9767, recall: 0.8762, relative_absolute_error: 0.3493, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6647, scimark_benchmark: 1337.3324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8752, kappa: 0.741, kb_relative_information_score: 3357.9642, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8756, predictive_accuracy: 0.8758, prior_entropy: 0.9767, recall: 0.8758, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6523, scimark_benchmark: 1326.2019, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8752, kappa: 0.741, kb_relative_information_score: 3357.9642, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8756, predictive_accuracy: 0.8758, prior_entropy: 0.9767, recall: 0.8758, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6523, scimark_benchmark: 1338.5214, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8752, kappa: 0.741, kb_relative_information_score: 3357.9642, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8756, predictive_accuracy: 0.8758, prior_entropy: 0.9767, recall: 0.8758, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6523, scimark_benchmark: 1337.1928, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.8881, kappa: 0.7673, kb_relative_information_score: 3264.738, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8911, predictive_accuracy: 0.8894, prior_entropy: 0.9767, recall: 0.8894, relative_absolute_error: 0.3755, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.5929, scimark_benchmark: 1337.3324, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8752, kappa: 0.741, kb_relative_information_score: 3357.9642, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8756, predictive_accuracy: 0.8758, prior_entropy: 0.9767, recall: 0.8758, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6523, scimark_benchmark: 1318.4315, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.8764, kappa: 0.7442, kb_relative_information_score: 3412.5674, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8763, predictive_accuracy: 0.8766, prior_entropy: 0.9767, recall: 0.8766, relative_absolute_error: 0.3313, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.652, scimark_benchmark: 1313.11, usercpu_time_millis: 550, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.872, kappa: 0.7344, kb_relative_information_score: 3281.7085, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8723, predictive_accuracy: 0.8726, prior_entropy: 0.9767, recall: 0.8726, relative_absolute_error: 0.3622, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6589, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8879, kappa: 0.7673, kb_relative_information_score: 2918.8241, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8887, predictive_accuracy: 0.8886, prior_entropy: 0.9767, recall: 0.8886, relative_absolute_error: 0.4531, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6273, scimark_benchmark: 1320.1171, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.8254, kappa: 0.6383, kb_relative_information_score: 3073.4408, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8252, predictive_accuracy: 0.8258, prior_entropy: 0.9767, recall: 0.8258, relative_absolute_error: 0.3849, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.8148, scimark_benchmark: 1319.5773, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.8866, kappa: 0.765, kb_relative_information_score: 3338.3491, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8867, predictive_accuracy: 0.887, prior_entropy: 0.9767, recall: 0.887, relative_absolute_error: 0.3546, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.6076, scimark_benchmark: 1324.6608, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.7467, kappa: 0.4761, kb_relative_information_score: 2345.5113, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.7465, predictive_accuracy: 0.7468, prior_entropy: 0.9767, recall: 0.7468, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.0231, scimark_benchmark: 1309.4708, usercpu_time_millis: 250, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8752, kappa: 0.741, kb_relative_information_score: 3357.9642, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8756, predictive_accuracy: 0.8758, prior_entropy: 0.9767, recall: 0.8758, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6523, scimark_benchmark: 1329.5628, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.8881, kappa: 0.7673, kb_relative_information_score: 3264.738, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8911, predictive_accuracy: 0.8894, prior_entropy: 0.9767, recall: 0.8894, relative_absolute_error: 0.3755, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.5929, scimark_benchmark: 1329.5628, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8752, kappa: 0.741, kb_relative_information_score: 3357.9642, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4839, number_of_instances: 5000, precision: 0.8756, predictive_accuracy: 0.8758, prior_entropy: 0.9767, recall: 0.8758, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4918, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6523, scimark_benchmark: 929.0363, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 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

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From your own software

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

OpenML APIs