Task
Supervised Classification on mfeat-morphological

Supervised Classification on mfeat-morphological

Task 3825 Supervised Classification mfeat-morphological 555 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1970.7981, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0098, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1953.2482, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0254, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.04, root_relative_squared_error: 0.1332, scimark_benchmark: 1887.4343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1963.35, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.129, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1963.35, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.129, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.997, kappa: 0.9833, kb_relative_information_score: 1935.469, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.4703, recall: 0.997, relative_absolute_error: 0.022, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0475, root_relative_squared_error: 0.1583, scimark_benchmark: 1806.5905, usercpu_time_millis: 109.2007, usercpu_time_millis_training: 109.2007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1946.8214, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0207, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0428, root_relative_squared_error: 0.1428, scimark_benchmark: 1806.5905, usercpu_time_millis: 124.8008, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 93.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.997, kappa: 0.9833, kb_relative_information_score: 1947.0397, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.4703, recall: 0.997, relative_absolute_error: 0.0196, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0547, root_relative_squared_error: 0.1825, scimark_benchmark: 1806.5905, usercpu_time_millis: 187.2012, usercpu_time_millis_testing: 187.2012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1969.1628, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0113, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.129, scimark_benchmark: 1806.5905, usercpu_time_millis: 218.4014, usercpu_time_millis_testing: 218.4014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1953.2482, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0254, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.04, root_relative_squared_error: 0.1332, scimark_benchmark: 1877.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1970.7981, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0098, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291, scimark_benchmark: 1850.8887, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: -2.1702, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.9807, kappa: 0.8938, kb_relative_information_score: 1706.9453, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.981, predictive_accuracy: 0.9805, prior_entropy: 0.4703, recall: 0.9805, relative_absolute_error: 0.1081, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.4655, usercpu_time_millis: 12.329, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 11.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7028, f_measure: 0.9134, kappa: 0.4803, kb_relative_information_score: 829.1575, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9113, predictive_accuracy: 0.921, prior_entropy: 0.4703, recall: 0.921, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2811, root_relative_squared_error: 0.9369, usercpu_time_millis: 3.577, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 3.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.9607, kappa: 0.7749, kb_relative_information_score: 1434.0197, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9604, predictive_accuracy: 0.962, prior_entropy: 0.4703, recall: 0.962, relative_absolute_error: 0.2107, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.6498, usercpu_time_millis: 65.01, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 64.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1972.4945, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291, usercpu_time_millis: 0.461, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1972.4945, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291, usercpu_time_millis: 44.301, usercpu_time_millis_testing: 3.526, usercpu_time_millis_training: 40.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 519.35, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, usercpu_time_millis: 0.931, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.998, kappa: 0.9888, kb_relative_information_score: 1965.1182, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.4703, recall: 0.998, relative_absolute_error: 0.0111, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0447, root_relative_squared_error: 0.1491, usercpu_time_millis: 0.353, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 519.35, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, usercpu_time_millis: 0.572, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9934, kappa: 0.9633, kb_relative_information_score: 1898.7308, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.4703, recall: 0.9935, relative_absolute_error: 0.036, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.2687, usercpu_time_millis: 0.166, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9975, kappa: 0.986, kb_relative_information_score: 1957.7418, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0139, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1667, usercpu_time_millis: 5.924, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 5.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1972.4945, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291, usercpu_time_millis: 3.195, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 2.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1972.4945, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291, usercpu_time_millis: 8.389, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 8.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.999, kappa: 0.9944, kb_relative_information_score: 1979.8709, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.4703, recall: 0.999, relative_absolute_error: 0.0055, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0316, root_relative_squared_error: 0.1054, usercpu_time_millis: 23.381, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 23.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.9665, kappa: 0.8135, kb_relative_information_score: 1500.407, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9664, predictive_accuracy: 0.9665, prior_entropy: 0.4703, recall: 0.9665, relative_absolute_error: 0.1858, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.183, root_relative_squared_error: 0.6101, usercpu_time_millis: 50.065, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 49.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 519.35, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, usercpu_time_millis: 0.307, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.997, kappa: 0.9834, kb_relative_information_score: 1950.3654, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.4703, recall: 0.997, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0548, root_relative_squared_error: 0.1826, usercpu_time_millis: 0.791, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9975, kappa: 0.9861, kb_relative_information_score: 1957.7418, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0139, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1667, usercpu_time_millis: 1.713, usercpu_time_millis_testing: 0.486, usercpu_time_millis_training: 1.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.9822, kappa: 0.8999, kb_relative_information_score: 1736.4508, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9822, predictive_accuracy: 0.9825, prior_entropy: 0.4703, recall: 0.9825, relative_absolute_error: 0.0971, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1323, root_relative_squared_error: 0.441, usercpu_time_millis: 2.348, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 2.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.9581, kappa: 0.7647, kb_relative_information_score: 1382.3851, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9577, predictive_accuracy: 0.9585, prior_entropy: 0.4703, recall: 0.9585, relative_absolute_error: 0.2301, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.6791, usercpu_time_millis: 1.368, usercpu_time_millis_testing: 0.45, usercpu_time_millis_training: 0.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 519.35, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, usercpu_time_millis: 0.423, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 519.35, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, usercpu_time_millis: 0.281, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.997, kappa: 0.9833, kb_relative_information_score: 1950.3654, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.4703, recall: 0.997, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0548, root_relative_squared_error: 0.1826, usercpu_time_millis: 360.63, usercpu_time_millis_testing: 4.327, usercpu_time_millis_training: 356.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1972.4945, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291, usercpu_time_millis: 370.616, usercpu_time_millis_testing: 24.067, usercpu_time_millis_training: 346.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 519.35, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, usercpu_time_millis: 43.084, usercpu_time_millis_testing: 2.191, usercpu_time_millis_training: 40.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 519.35, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, usercpu_time_millis: 0.579, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.557,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.998, kappa: 0.9888, kb_relative_information_score: 1953.7953, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.4703, recall: 0.998, relative_absolute_error: 0.0208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0447, root_relative_squared_error: 0.149, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.998, kappa: 0.9888, kb_relative_information_score: 1953.7953, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.4703, recall: 0.998, relative_absolute_error: 0.0208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0447, root_relative_squared_error: 0.149, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1928.2429, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0289, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0428, root_relative_squared_error: 0.1428, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1946.8214, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0207, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0428, root_relative_squared_error: 0.1428, scimark_benchmark: 943.1009, usercpu_time_millis: 240, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1963.3167, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.129, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.998, kappa: 0.9888, kb_relative_information_score: 1922.1685, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.4703, recall: 0.998, relative_absolute_error: 0.034, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0439, root_relative_squared_error: 0.1464, scimark_benchmark: 901.6243, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6175, f_measure: 0.9014, kappa: 0.3561, kb_relative_information_score: 866.0393, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9295, predictive_accuracy: 0.9235, prior_entropy: 0.4703, recall: 0.9235, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.922, scimark_benchmark: 932.438, usercpu_time_millis: 670, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6175, f_measure: 0.9014, kappa: 0.3561, kb_relative_information_score: 866.0393, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9295, predictive_accuracy: 0.9235, prior_entropy: 0.4703, recall: 0.9235, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.922, scimark_benchmark: 934.5964, usercpu_time_millis: 730, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.997, kappa: 0.9832, kb_relative_information_score: 1903.5609, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.4703, recall: 0.997, relative_absolute_error: 0.0367, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.059, root_relative_squared_error: 0.1968, scimark_benchmark: 938.1282, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.998, kappa: 0.9888, kb_relative_information_score: 1953.7953, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.4703, recall: 0.998, relative_absolute_error: 0.0208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0447, root_relative_squared_error: 0.149, scimark_benchmark: 938.1282, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.998, kappa: 0.9888, kb_relative_information_score: 1953.7953, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.4703, recall: 0.998, relative_absolute_error: 0.0208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0447, root_relative_squared_error: 0.149, 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: 0.9953, f_measure: 0.998, kappa: 0.9888, kb_relative_information_score: 1953.7953, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.4703, recall: 0.998, relative_absolute_error: 0.0208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0447, root_relative_squared_error: 0.149, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9955, kappa: 0.9747, kb_relative_information_score: 1911.0676, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 0.4703, recall: 0.9955, relative_absolute_error: 0.0423, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0599, root_relative_squared_error: 0.1997, scimark_benchmark: 941.4991, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1938.8685, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1289, scimark_benchmark: 936.3213, usercpu_time_millis: 46120, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 45720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.998, kappa: 0.9888, kb_relative_information_score: 1953.7953, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.4703, recall: 0.998, relative_absolute_error: 0.0208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0447, root_relative_squared_error: 0.149, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1928.2429, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0289, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0428, root_relative_squared_error: 0.1428, scimark_benchmark: 1051.249, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1946.8214, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0207, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0428, root_relative_squared_error: 0.1428, scimark_benchmark: 936.3213, usercpu_time_millis: 260, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1943.9487, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0313, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0405, root_relative_squared_error: 0.1352, scimark_benchmark: 901.6243, usercpu_time_millis: 3500, usercpu_time_millis_testing: 1020, usercpu_time_millis_training: 2480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1947.2869, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0291, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0404, root_relative_squared_error: 0.1348, scimark_benchmark: 938.988, usercpu_time_millis: 1700, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 1230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1936.7355, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0354, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0423, root_relative_squared_error: 0.1411, scimark_benchmark: 938.3401, usercpu_time_millis: 880, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1944.9791, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0418, root_relative_squared_error: 0.1393, scimark_benchmark: 934.6244, usercpu_time_millis: 460, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1905.4347, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0462, root_relative_squared_error: 0.1541, scimark_benchmark: 899.1108, usercpu_time_millis: 230, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.997, kappa: 0.9833, kb_relative_information_score: 1951.3665, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.4703, recall: 0.997, relative_absolute_error: 0.0165, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0458, root_relative_squared_error: 0.1526, scimark_benchmark: 926.5859, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.997, kappa: 0.9833, kb_relative_information_score: 1951.3665, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.4703, recall: 0.997, relative_absolute_error: 0.0165, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0458, root_relative_squared_error: 0.1526, scimark_benchmark: 926.5859, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.997, kappa: 0.9833, kb_relative_information_score: 1951.3665, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.4703, recall: 0.997, relative_absolute_error: 0.0165, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0458, root_relative_squared_error: 0.1526, scimark_benchmark: 894.7131, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,

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