OpenML
Supervised Classification on monks-problems-1

Supervised Classification on monks-problems-1

Task 146064 Supervised Classification monks-problems-1 239379 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 206.2699, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6532, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8238, scimark_benchmark: 1874.5188, usercpu_time_millis: 1.064, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 1.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4769, f_measure: 0.4985, kappa: 0.0072, kb_relative_information_score: 0.3657, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5037, predictive_accuracy: 0.5036, prior_entropy: 1, recall: 0.5036, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 1753.245, usercpu_time_millis: 1.086, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, f_measure: 0.7034, kappa: 0.4245, kb_relative_information_score: 114.7675, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.741, predictive_accuracy: 0.7122, prior_entropy: 1, recall: 0.7122, relative_absolute_error: 0.8241, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8944, scimark_benchmark: 1941.602, usercpu_time_millis: 0.948, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4549, f_measure: 0.4514, kappa: -0.0935, kb_relative_information_score: -1.266, mean_absolute_error: 0.5008, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4526, predictive_accuracy: 0.4532, prior_entropy: 1, recall: 0.4532, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.0023, scimark_benchmark: 1751.0677, usercpu_time_millis: 1.154, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9928, kb_relative_information_score: 544.918, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1, recall: 0.9964, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0509, root_relative_squared_error: 0.1017, scimark_benchmark: 1859.0681, usercpu_time_millis: 0.653, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4875, f_measure: 0.4985, kappa: 0.0072, kb_relative_information_score: 0.2201, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5037, predictive_accuracy: 0.5036, prior_entropy: 1, recall: 0.5036, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0011, scimark_benchmark: 1849.7379, usercpu_time_millis: 1.058, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 1.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 552.4451, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0088, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0069, root_relative_squared_error: 0.0138, scimark_benchmark: 1955.3871, usercpu_time_millis: 0.492, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7317, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 191.618, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1854.4641, usercpu_time_millis: 5.145, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 5.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 191.6172, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1970.9526, usercpu_time_millis: 0.833, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.769, kappa: 0.5396, kb_relative_information_score: 186.9503, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7734, predictive_accuracy: 0.7698, prior_entropy: 1, recall: 0.7698, relative_absolute_error: 0.7014, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7836, scimark_benchmark: 1809.6418, usercpu_time_millis: 1.04, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4493, f_measure: 0.3729, kappa: -0.0719, kb_relative_information_score: -0.6811, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.414, predictive_accuracy: 0.464, prior_entropy: 1, recall: 0.464, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0009, scimark_benchmark: 1822.919, usercpu_time_millis: 1.086, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 1.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 191.6235, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1809.6418, usercpu_time_millis: 1.749, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 1.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 553.218, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0039, root_relative_squared_error: 0.0077, scimark_benchmark: 1974.2704, usercpu_time_millis: 1.269, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5358, f_measure: 0.5035, kappa: 0.0432, kb_relative_information_score: 1.3347, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5253, predictive_accuracy: 0.5216, prior_entropy: 1, recall: 0.5216, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9984, scimark_benchmark: 1977.981, usercpu_time_millis: 0.919, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.6758, kappa: 0.3705, kb_relative_information_score: 213.162, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7097, predictive_accuracy: 0.6853, prior_entropy: 1, recall: 0.6853, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.7833, scimark_benchmark: 1834.2087, usercpu_time_millis: 1.763, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 1.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 191.6205, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1821.2283, usercpu_time_millis: 0.86, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4891, f_measure: 0.4985, kappa: 0.0072, kb_relative_information_score: 0.3578, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5037, predictive_accuracy: 0.5036, prior_entropy: 1, recall: 0.5036, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 1748.66, usercpu_time_millis: 1.167, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.6758, kappa: 0.3705, kb_relative_information_score: 213.162, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7097, predictive_accuracy: 0.6853, prior_entropy: 1, recall: 0.6853, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.7833, scimark_benchmark: 1749.4647, usercpu_time_millis: 1.34, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4765, f_measure: 0.4985, kappa: 0.0072, kb_relative_information_score: 0.3513, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5037, predictive_accuracy: 0.5036, prior_entropy: 1, recall: 0.5036, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 1826.9524, usercpu_time_millis: 1.007, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4868, f_measure: 0.357, kappa: -0.0504, kb_relative_information_score: -0.3721, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4057, predictive_accuracy: 0.4748, prior_entropy: 1, recall: 0.4748, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0005, scimark_benchmark: 1745.3654, usercpu_time_millis: 1.152, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 552.2918, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0092, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0048, root_relative_squared_error: 0.0096, scimark_benchmark: 1757.0536, usercpu_time_millis: 12.293, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 12.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4768, f_measure: 0.4985, kappa: 0.0072, kb_relative_information_score: 0.3253, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5037, predictive_accuracy: 0.5036, prior_entropy: 1, recall: 0.5036, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 1871.1787, usercpu_time_millis: 1.001, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 191.629, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 2032.4648, usercpu_time_millis: 0.474, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 552.4015, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0089, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0067, root_relative_squared_error: 0.0134, scimark_benchmark: 1754.9178, usercpu_time_millis: 0.506, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.6758, kappa: 0.3705, kb_relative_information_score: 213.162, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7097, predictive_accuracy: 0.6853, prior_entropy: 1, recall: 0.6853, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.7833, scimark_benchmark: 1754.2741, usercpu_time_millis: 1.287, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4769, f_measure: 0.4985, kappa: 0.0072, kb_relative_information_score: 0.3446, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5037, predictive_accuracy: 0.5036, prior_entropy: 1, recall: 0.5036, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 1807.6952, usercpu_time_millis: 1.049, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 1.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 191.6327, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1845.3188, usercpu_time_millis: 1.57, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 1.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 191.617, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8208, scimark_benchmark: 1804.339, usercpu_time_millis: 0.613, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 191.6204, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1754.1079, usercpu_time_millis: 0.878, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 552.1926, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0094, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0107, root_relative_squared_error: 0.0214, scimark_benchmark: 1756.2894, usercpu_time_millis: 0.715, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7268, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 191.6203, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1746.737, usercpu_time_millis: 0.585, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 191.6277, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1756.754, usercpu_time_millis: 2.443, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 2.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.732, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 191.6336, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1788.7259, usercpu_time_millis: 0.559, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.728, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 191.6142, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8208, scimark_benchmark: 1764.7048, usercpu_time_millis: 0.664, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.621,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4805, f_measure: 0.4985, kappa: 0.0072, kb_relative_information_score: 0.3443, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5037, predictive_accuracy: 0.5036, prior_entropy: 1, recall: 0.5036, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 1759.235, usercpu_time_millis: 1.164, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 1.131,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6742, f_measure: 0.6335, kappa: 0.2734, kb_relative_information_score: 17.5111, mean_absolute_error: 0.4883, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.6416, predictive_accuracy: 0.6367, prior_entropy: 1, recall: 0.6367, relative_absolute_error: 0.9767, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9803, scimark_benchmark: 1752.1591, usercpu_time_millis: 0.985, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7312, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 191.6218, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1756.2894, usercpu_time_millis: 1.153, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 1.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7335, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 191.6244, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1874.4489, usercpu_time_millis: 0.637, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 191.6236, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1749.0776, usercpu_time_millis: 0.613, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4769, f_measure: 0.4985, kappa: 0.0072, kb_relative_information_score: 0.3279, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5037, predictive_accuracy: 0.5036, prior_entropy: 1, recall: 0.5036, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 1873.8757, usercpu_time_millis: 1.001, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.7303, kappa: 0.4784, kb_relative_information_score: 177.2975, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7756, predictive_accuracy: 0.7392, prior_entropy: 1, recall: 0.7392, relative_absolute_error: 0.7175, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8256, scimark_benchmark: 1763.8876, usercpu_time_millis: 1.118, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7316, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 191.6211, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1747.7473, usercpu_time_millis: 0.681, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4821, f_measure: 0.4985, kappa: 0.0072, kb_relative_information_score: -0.1934, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5037, predictive_accuracy: 0.5036, prior_entropy: 1, recall: 0.5036, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0014, scimark_benchmark: 1760.8551, usercpu_time_millis: 1.016, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7615, f_measure: 0.6689, kappa: 0.3381, kb_relative_information_score: 26.0613, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.6694, predictive_accuracy: 0.6691, prior_entropy: 1, recall: 0.6691, relative_absolute_error: 0.9654, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4841, root_relative_squared_error: 0.9682, scimark_benchmark: 1744.8084, usercpu_time_millis: 1.057, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 1.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7267, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 191.6149, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8208, scimark_benchmark: 2020.7842, usercpu_time_millis: 0.478, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 191.6166, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1869.1029, usercpu_time_millis: 0.574, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7315, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 191.6251, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1752.969, usercpu_time_millis: 5.371, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 5.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.737, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 200.994, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6624, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.8251, scimark_benchmark: 1873.4805, usercpu_time_millis: 0.885, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7299, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 191.6143, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8208, scimark_benchmark: 1873.9908, usercpu_time_millis: 0.919, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 552.533, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0086, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0045, root_relative_squared_error: 0.009, scimark_benchmark: 1879.2533, usercpu_time_millis: 2.101, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 2.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.9204, kappa: 0.8417, kb_relative_information_score: 412.1747, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9317, predictive_accuracy: 0.9209, prior_entropy: 1, recall: 0.9209, relative_absolute_error: 0.287, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.5311, scimark_benchmark: 1878.3273, usercpu_time_millis: 1.566, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 1.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4385, f_measure: 0.4149, kappa: -0.1403, kb_relative_information_score: -1.2509, mean_absolute_error: 0.5008, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4218, predictive_accuracy: 0.4299, prior_entropy: 1, recall: 0.4299, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.501, root_relative_squared_error: 1.002, scimark_benchmark: 1756.754, usercpu_time_millis: 1.037, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.9204, kappa: 0.8417, kb_relative_information_score: 375.6373, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9317, predictive_accuracy: 0.9209, prior_entropy: 1, recall: 0.9209, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5481, scimark_benchmark: 1872.4216, usercpu_time_millis: 1.275, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 1.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4591, f_measure: 0.4679, kappa: -0.0468, kb_relative_information_score: -1.07, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.475, predictive_accuracy: 0.4766, prior_entropy: 1, recall: 0.4766, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0017, scimark_benchmark: 1761.949, usercpu_time_millis: 1.098, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 1.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.6758, kappa: 0.3705, kb_relative_information_score: 213.162, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7097, predictive_accuracy: 0.6853, prior_entropy: 1, recall: 0.6853, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.7833, scimark_benchmark: 1876.3041, usercpu_time_millis: 1.725, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 1.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4645, f_measure: 0.4189, kappa: -0.0432, kb_relative_information_score: -1.0221, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4634, predictive_accuracy: 0.4784, prior_entropy: 1, recall: 0.4784, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0014, scimark_benchmark: 1751.2522, usercpu_time_millis: 1.07, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 1.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4768, f_measure: 0.4985, kappa: 0.0072, kb_relative_information_score: 0.3156, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5037, predictive_accuracy: 0.5036, prior_entropy: 1, recall: 0.5036, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 1760.5046, usercpu_time_millis: 1.173, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 1.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, f_measure: 0.5576, kappa: 0.1511, kb_relative_information_score: 4.0056, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5902, predictive_accuracy: 0.5755, prior_entropy: 1, recall: 0.5755, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9952, scimark_benchmark: 1752.5291, usercpu_time_millis: 1.141, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.6758, kappa: 0.3705, kb_relative_information_score: 213.1632, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7097, predictive_accuracy: 0.6853, prior_entropy: 1, recall: 0.6853, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.7833, scimark_benchmark: 1751.1967, usercpu_time_millis: 1.536, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 1.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 191.615, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8208, scimark_benchmark: 1803.7871, usercpu_time_millis: 1.747, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 1.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9676, kappa: 0.9353, kb_relative_information_score: 484.3167, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.968, predictive_accuracy: 0.9676, prior_entropy: 1, recall: 0.9676, relative_absolute_error: 0.1423, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.337, scimark_benchmark: 1751.2522, usercpu_time_millis: 0.969, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 552.298, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0092, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0048, root_relative_squared_error: 0.0096, scimark_benchmark: 1873.8757, usercpu_time_millis: 4.938, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 4.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4703, f_measure: 0.4803, kappa: 0.0036, kb_relative_information_score: -0.3195, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5022, predictive_accuracy: 0.5018, prior_entropy: 1, recall: 0.5018, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 1755.0788, usercpu_time_millis: 1.126, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 552.2928, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0092, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0048, root_relative_squared_error: 0.0096, scimark_benchmark: 1751.5525, usercpu_time_millis: 7.678, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 7.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 552.2937, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0092, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0048, root_relative_squared_error: 0.0096, scimark_benchmark: 1867.725, usercpu_time_millis: 20.691, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 20.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 436.1999, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2619, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3459, scimark_benchmark: 1857.4999, usercpu_time_millis: 1.06, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 0.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 386.2317, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1, recall: 0.9982, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.441, scimark_benchmark: 1867.725, usercpu_time_millis: 1.039, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 0.908,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs