Task
Supervised Classification on credit-g

Supervised Classification on credit-g

Task 145972 Supervised Classification credit-g 82359 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1868.6447, usercpu_time_millis: 0.24, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 0.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7527, kappa: 0.3953, kb_relative_information_score: 236.9567, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7508, predictive_accuracy: 0.762, prior_entropy: 0.8818, recall: 0.762, relative_absolute_error: 0.7535, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.882, scimark_benchmark: 1750.3253, usercpu_time_millis: 0.376, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 0.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1872.0299, usercpu_time_millis: 0.241, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1872.3816, usercpu_time_millis: 0.24, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 0.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1867.7638, usercpu_time_millis: 0.236, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 0.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1854.3976, usercpu_time_millis: 0.254, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1854.3976, usercpu_time_millis: 0.252, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 0.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1827.5061, usercpu_time_millis: 0.263, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 0.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1802.8953, usercpu_time_millis: 0.262, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 0.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1802.8953, usercpu_time_millis: 0.262, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 0.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.7132, kappa: 0.2873, kb_relative_information_score: 175.3998, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7348, predictive_accuracy: 0.748, prior_entropy: 0.8818, recall: 0.748, relative_absolute_error: 0.828, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.887, scimark_benchmark: 1795.7021, usercpu_time_millis: 0.293, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 0.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.7346, kappa: 0.3427, kb_relative_information_score: 197.6833, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7414, predictive_accuracy: 0.756, prior_entropy: 0.8818, recall: 0.756, relative_absolute_error: 0.8018, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8818, scimark_benchmark: 1791.8534, usercpu_time_millis: 0.302, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 0.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1843.9204, usercpu_time_millis: 0.247, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 0.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1815.8049, usercpu_time_millis: 0.259, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 0.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7478, f_measure: 0.5857, kappa: 0.0186, kb_relative_information_score: 74.0524, mean_absolute_error: 0.3878, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.792, predictive_accuracy: 0.704, prior_entropy: 0.8818, recall: 0.704, relative_absolute_error: 0.9231, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.9401, scimark_benchmark: 1830.6636, usercpu_time_millis: 0.271, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 0.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.7413, kappa: 0.3603, kb_relative_information_score: 206.3713, mean_absolute_error: 0.3328, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7461, predictive_accuracy: 0.76, prior_entropy: 0.8818, recall: 0.76, relative_absolute_error: 0.792, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8798, scimark_benchmark: 1818.8059, usercpu_time_millis: 0.304, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.7494, kappa: 0.3871, kb_relative_information_score: 237.1941, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7474, predictive_accuracy: 0.759, prior_entropy: 0.8818, recall: 0.759, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8824, scimark_benchmark: 1826.5864, usercpu_time_millis: 0.381, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 0.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1805.2717, usercpu_time_millis: 0.267, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 0.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.7444, kappa: 0.3711, kb_relative_information_score: 219.2689, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7445, predictive_accuracy: 0.758, prior_entropy: 0.8818, recall: 0.758, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8812, scimark_benchmark: 1804.339, usercpu_time_millis: 0.342, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 0.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.7464, kappa: 0.3825, kb_relative_information_score: 246.4104, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7437, predictive_accuracy: 0.754, prior_entropy: 0.8818, recall: 0.754, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8869, scimark_benchmark: 1756.754, usercpu_time_millis: 0.522, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 0.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1747.2984, usercpu_time_millis: 0.272, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 0.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1739.4245, usercpu_time_millis: 0.272, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 0.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1780.4769, usercpu_time_millis: 0.256, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 0.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.5765, kb_relative_information_score: 27.7975, mean_absolute_error: 0.4101, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.976, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9775, scimark_benchmark: 1753.3033, usercpu_time_millis: 0.265, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 0.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1775.3783, usercpu_time_millis: 0.256, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 0.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7873, f_measure: 0.7507, kappa: 0.392, kb_relative_information_score: 242.78, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7484, predictive_accuracy: 0.759, prior_entropy: 0.8818, recall: 0.759, relative_absolute_error: 0.7458, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8847, scimark_benchmark: 1779.5157, usercpu_time_millis: 0.388, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 0.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.7481, kappa: 0.3863, kb_relative_information_score: 245.3315, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7455, predictive_accuracy: 0.756, prior_entropy: 0.8818, recall: 0.756, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8862, scimark_benchmark: 1976.9727, usercpu_time_millis: 0.414, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 0.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1972.6725, usercpu_time_millis: 0.248, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 0.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1754.6748, usercpu_time_millis: 0.253, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 0.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1977.6895, usercpu_time_millis: 0.239, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.7481, kappa: 0.3863, kb_relative_information_score: 244.7499, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7455, predictive_accuracy: 0.756, prior_entropy: 0.8818, recall: 0.756, relative_absolute_error: 0.743, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8858, scimark_benchmark: 1978.7124, usercpu_time_millis: 0.458, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 0.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1747.5976, usercpu_time_millis: 0.245, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 0.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1753.245, usercpu_time_millis: 0.263, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 0.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1747.4929, usercpu_time_millis: 0.262, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 0.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1747.6485, usercpu_time_millis: 0.261, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 0.136,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1796.3494, usercpu_time_millis: 0.249, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.13,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7553, f_measure: 0.6552, kappa: 0.1524, kb_relative_information_score: 110.9593, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.706, predictive_accuracy: 0.722, prior_entropy: 0.8818, recall: 0.722, relative_absolute_error: 0.8827, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.422, root_relative_squared_error: 0.9209, scimark_benchmark: 1781.7837, usercpu_time_millis: 0.266, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.7495, kappa: 0.3889, kb_relative_information_score: 244.2128, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7472, predictive_accuracy: 0.758, prior_entropy: 0.8818, recall: 0.758, relative_absolute_error: 0.7437, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8856, scimark_benchmark: 1793.8583, usercpu_time_millis: 0.509, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 0.397,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7699, f_measure: 0.6859, kappa: 0.2207, kb_relative_information_score: 143.3569, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7112, predictive_accuracy: 0.731, prior_entropy: 0.8818, recall: 0.731, relative_absolute_error: 0.8522, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.415, root_relative_squared_error: 0.9057, scimark_benchmark: 1969.7189, usercpu_time_millis: 0.258, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 0.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.7464, kappa: 0.3825, kb_relative_information_score: 246.0753, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7437, predictive_accuracy: 0.754, prior_entropy: 0.8818, recall: 0.754, relative_absolute_error: 0.7412, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8866, scimark_benchmark: 1966.5942, usercpu_time_millis: 0.415, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 0.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7827, f_measure: 0.7219, kappa: 0.3097, kb_relative_information_score: 176.1028, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7331, predictive_accuracy: 0.749, prior_entropy: 0.8818, recall: 0.749, relative_absolute_error: 0.8218, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8913, scimark_benchmark: 1844.5661, usercpu_time_millis: 0.283, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.744, kappa: 0.3691, kb_relative_information_score: 213.8859, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7452, predictive_accuracy: 0.759, prior_entropy: 0.8818, recall: 0.759, relative_absolute_error: 0.7826, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.88, scimark_benchmark: 1841.2763, usercpu_time_millis: 0.308, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 0.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1750.3253, usercpu_time_millis: 0.262, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 0.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.6342, kappa: 0.1101, kb_relative_information_score: 100.1741, mean_absolute_error: 0.3752, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7095, predictive_accuracy: 0.717, prior_entropy: 0.8818, recall: 0.717, relative_absolute_error: 0.8931, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.9258, scimark_benchmark: 1752.1591, usercpu_time_millis: 0.267, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 0.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1742.4434, usercpu_time_millis: 0.263, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 0.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1825.673, usercpu_time_millis: 0.26, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 0.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1823.1221, usercpu_time_millis: 0.26, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 0.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7878, f_measure: 0.748, kappa: 0.3845, kb_relative_information_score: 242.0438, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7457, predictive_accuracy: 0.757, prior_entropy: 0.8818, recall: 0.757, relative_absolute_error: 0.7466, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8843, scimark_benchmark: 1750.7876, usercpu_time_millis: 0.499, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 0.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1752.1591, usercpu_time_millis: 0.247, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 0.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1749.9246, usercpu_time_millis: 0.251, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 0.136,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1859.6936, usercpu_time_millis: 0.252, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6564, f_measure: 0.5765, kb_relative_information_score: 14.4657, mean_absolute_error: 0.4103, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9765, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9793, scimark_benchmark: 1856.0093, usercpu_time_millis: 0.254, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 0.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1849.9063, usercpu_time_millis: 0.256, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 0.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1844.8825, usercpu_time_millis: 0.255, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 0.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1835.6067, usercpu_time_millis: 0.253, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 0.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7565, f_measure: 0.6478, kappa: 0.1378, kb_relative_information_score: 106.7776, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.71, predictive_accuracy: 0.721, prior_entropy: 0.8818, recall: 0.721, relative_absolute_error: 0.8887, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.9226, scimark_benchmark: 1843.1598, usercpu_time_millis: 0.262, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 0.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1854.9694, usercpu_time_millis: 0.252, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 0.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7289, kappa: 0.3267, kb_relative_information_score: 189.6651, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7429, predictive_accuracy: 0.756, prior_entropy: 0.8818, recall: 0.756, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.882, scimark_benchmark: 1827.7628, usercpu_time_millis: 0.292, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 0.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.7501, kappa: 0.3896, kb_relative_information_score: 238.3411, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7479, predictive_accuracy: 0.759, prior_entropy: 0.8818, recall: 0.759, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8826, scimark_benchmark: 1824.727, usercpu_time_millis: 0.361, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 0.239,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: premature end of file, read Token[EOF], line 577
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7262, f_measure: 0.5765, kb_relative_information_score: 39.2496, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9484, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.9584, scimark_benchmark: 1754.1079, usercpu_time_millis: 0.274, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 0.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.785, f_measure: 0.7053, kappa: 0.2684, kb_relative_information_score: 154.7528, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7355, predictive_accuracy: 0.746, prior_entropy: 0.8818, recall: 0.746, relative_absolute_error: 0.8473, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.411, root_relative_squared_error: 0.8969, scimark_benchmark: 1920.3346, usercpu_time_millis: 0.253, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 0.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1741.6387, usercpu_time_millis: 0.265, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 0.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.7473, kappa: 0.3844, kb_relative_information_score: 245.8718, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7446, predictive_accuracy: 0.755, prior_entropy: 0.8818, recall: 0.755, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8865, scimark_benchmark: 1752.9026, usercpu_time_millis: 0.653, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 0.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1919.6558, usercpu_time_millis: 0.246, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 0.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7826, f_measure: 0.7263, kappa: 0.3212, kb_relative_information_score: 180.6612, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7353, predictive_accuracy: 0.751, prior_entropy: 0.8818, recall: 0.751, relative_absolute_error: 0.8166, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8902, scimark_benchmark: 1919.6558, usercpu_time_millis: 0.276, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 0.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.5765, kb_relative_information_score: 72.3701, mean_absolute_error: 0.3924, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9338, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.9433, scimark_benchmark: 1918.6899, usercpu_time_millis: 0.258, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 0.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1919.6558, usercpu_time_millis: 0.241, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 0.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1751.7584, usercpu_time_millis: 0.254, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.7509, kappa: 0.3915, kb_relative_information_score: 238.0118, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7489, predictive_accuracy: 0.76, prior_entropy: 0.8818, recall: 0.76, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8824, scimark_benchmark: 1754.1719, usercpu_time_millis: 0.362, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 0.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.7495, kappa: 0.3889, kb_relative_information_score: 243.9207, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7472, predictive_accuracy: 0.758, prior_entropy: 0.8818, recall: 0.758, relative_absolute_error: 0.7441, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8853, scimark_benchmark: 1755.5434, usercpu_time_millis: 0.568, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 0.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.7402, kappa: 0.3592, kb_relative_information_score: 209.7371, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7416, predictive_accuracy: 0.756, prior_entropy: 0.8818, recall: 0.756, relative_absolute_error: 0.7859, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8823, scimark_benchmark: 1752.0949, usercpu_time_millis: 0.315, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 0.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1754.6748, usercpu_time_millis: 0.255, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1747.7583, usercpu_time_millis: 0.268, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 0.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1841.5689, usercpu_time_millis: 0.241, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1752.1591, usercpu_time_millis: 0.258, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 0.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1750.7876, usercpu_time_millis: 0.26, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7902, f_measure: 0.7467, kappa: 0.3789, kb_relative_information_score: 231.2001, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7454, predictive_accuracy: 0.758, prior_entropy: 0.8818, recall: 0.758, relative_absolute_error: 0.7607, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8811, scimark_benchmark: 1745.3654, usercpu_time_millis: 0.402, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 0.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1751.8833, usercpu_time_millis: 0.261, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 0.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1746.63, usercpu_time_millis: 0.271, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 0.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1743.3608, usercpu_time_millis: 0.279, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 0.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1753.245, usercpu_time_millis: 0.249, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 0.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1756.9921, usercpu_time_millis: 0.252, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1755.4795, usercpu_time_millis: 0.261, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 0.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1752.969, usercpu_time_millis: 0.252, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 0.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1752.6238, usercpu_time_millis: 0.25, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.232, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 0.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1755.4795, usercpu_time_millis: 0.259, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 0.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1758.3636, usercpu_time_millis: 0.265, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 0.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.7435, kappa: 0.3685, kb_relative_information_score: 217.4122, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7442, predictive_accuracy: 0.758, prior_entropy: 0.8818, recall: 0.758, relative_absolute_error: 0.7774, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8813, scimark_benchmark: 1878.2574, usercpu_time_millis: 0.307, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 0.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7893, f_measure: 0.7494, kappa: 0.3871, kb_relative_information_score: 237.4568, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7474, predictive_accuracy: 0.759, prior_entropy: 0.8818, recall: 0.759, relative_absolute_error: 0.7528, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8822, scimark_benchmark: 1755.4795, usercpu_time_millis: 0.426, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 0.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3733, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.237, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 0.127,

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