OpenML
Supervised Classification on fri_c2_500_25

Supervised Classification on fri_c2_500_25

Task 3743 Supervised Classification fri_c2_500_25 616 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.8514, kappa: 0.6872, kb_relative_information_score: 314.117, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8513, predictive_accuracy: 0.852, prior_entropy: 0.9664, recall: 0.852, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6353, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.8024, kappa: 0.5986, kb_relative_information_score: 299.7875, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8206, predictive_accuracy: 0.8, prior_entropy: 0.9664, recall: 0.8, relative_absolute_error: 0.3916, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7659, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6074, f_measure: 0.5654, kappa: 0.1613, kb_relative_information_score: 66.209, mean_absolute_error: 0.4042, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6136, predictive_accuracy: 0.564, prior_entropy: 0.9664, recall: 0.564, relative_absolute_error: 0.8478, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5418, root_relative_squared_error: 1.1099, scimark_benchmark: 1840.6094, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6424, f_measure: 0.6047, kappa: 0.1655, kb_relative_information_score: 45.2633, mean_absolute_error: 0.4332, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6026, predictive_accuracy: 0.608, prior_entropy: 0.9664, recall: 0.608, relative_absolute_error: 0.9087, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4792, root_relative_squared_error: 0.9816, scimark_benchmark: 1873.1108, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.8308, kappa: 0.643, kb_relative_information_score: 313.1925, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8309, predictive_accuracy: 0.832, prior_entropy: 0.9664, recall: 0.832, relative_absolute_error: 0.3731, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.6655, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6166, f_measure: 0.5865, kappa: 0.1225, kb_relative_information_score: 48.0698, mean_absolute_error: 0.4277, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.5838, predictive_accuracy: 0.598, prior_entropy: 0.9664, recall: 0.598, relative_absolute_error: 0.897, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0185, scimark_benchmark: 1873.1108, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.8955, kappa: 0.7798, kb_relative_information_score: 388.5591, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8957, predictive_accuracy: 0.896, prior_entropy: 0.9664, recall: 0.896, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6001, f_measure: 0.6287, kappa: 0.2124, kb_relative_information_score: 121.0098, mean_absolute_error: 0.354, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6332, predictive_accuracy: 0.646, prior_entropy: 0.9664, recall: 0.646, relative_absolute_error: 0.7425, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.595, root_relative_squared_error: 1.2187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7406, f_measure: 0.7537, kappa: 0.4825, kb_relative_information_score: 236.5911, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.7534, predictive_accuracy: 0.754, prior_entropy: 0.9664, recall: 0.754, relative_absolute_error: 0.516, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.496, root_relative_squared_error: 1.016, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.613, f_measure: 0.6248, kappa: 0.2218, kb_relative_information_score: 95.3251, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6299, predictive_accuracy: 0.622, prior_entropy: 0.9664, recall: 0.622, relative_absolute_error: 0.7928, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6148, root_relative_squared_error: 1.2594, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.8244, kappa: 0.6277, kb_relative_information_score: 266.0187, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8292, predictive_accuracy: 0.828, prior_entropy: 0.9664, recall: 0.828, relative_absolute_error: 0.4897, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.7622, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.8248, kappa: 0.6306, kb_relative_information_score: 277.7494, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8248, predictive_accuracy: 0.826, prior_entropy: 0.9664, recall: 0.826, relative_absolute_error: 0.46, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7691, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.7465, kappa: 0.4655, kb_relative_information_score: 90.0848, mean_absolute_error: 0.4059, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.7458, predictive_accuracy: 0.748, prior_entropy: 0.9664, recall: 0.748, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4715, root_relative_squared_error: 0.9658, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, f_measure: 0.7016, kappa: 0.3731, kb_relative_information_score: 92.9469, mean_absolute_error: 0.3967, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.7012, predictive_accuracy: 0.702, prior_entropy: 0.9664, recall: 0.702, relative_absolute_error: 0.8321, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4795, root_relative_squared_error: 0.9821, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.8724, kappa: 0.73, kb_relative_information_score: 365.0148, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8747, predictive_accuracy: 0.874, prior_entropy: 0.9664, recall: 0.874, relative_absolute_error: 0.2643, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4598, kb_relative_information_score: 80.3424, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9664, recall: 0.608, relative_absolute_error: 0.8222, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.8848, kappa: 0.7567, kb_relative_information_score: 377.8571, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8864, predictive_accuracy: 0.886, prior_entropy: 0.9664, recall: 0.886, relative_absolute_error: 0.2391, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.6916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.8141, kappa: 0.6101, kb_relative_information_score: 300.803, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8142, predictive_accuracy: 0.814, prior_entropy: 0.9664, recall: 0.814, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.8834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.824, kappa: 0.6279, kb_relative_information_score: 269.7567, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8251, predictive_accuracy: 0.826, prior_entropy: 0.9664, recall: 0.826, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.7686, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.8642, kappa: 0.7157, kb_relative_information_score: 337.6057, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8646, predictive_accuracy: 0.864, prior_entropy: 0.9664, recall: 0.864, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3561, root_relative_squared_error: 0.7295, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.8317, kappa: 0.6463, kb_relative_information_score: 305.153, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8315, predictive_accuracy: 0.832, prior_entropy: 0.9664, recall: 0.832, relative_absolute_error: 0.3907, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.6887, scimark_benchmark: 1806.5905, usercpu_time_millis: 62.4004, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.845, kappa: 0.6716, kb_relative_information_score: 223.4284, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8497, predictive_accuracy: 0.848, prior_entropy: 0.9664, recall: 0.848, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6949, scimark_benchmark: 1806.5905, usercpu_time_millis: 140.4009, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 109.2007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.8323, kappa: 0.6488, kb_relative_information_score: 318.9689, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8327, predictive_accuracy: 0.832, prior_entropy: 0.9664, recall: 0.832, relative_absolute_error: 0.3555, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8377, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5681, f_measure: 0.5921, kappa: 0.1384, kb_relative_information_score: 67.1826, mean_absolute_error: 0.4044, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.5897, predictive_accuracy: 0.596, prior_entropy: 0.9664, recall: 0.596, relative_absolute_error: 0.8483, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6342, root_relative_squared_error: 1.2991, scimark_benchmark: 1806.5905, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.7465, kappa: 0.4655, kb_relative_information_score: 90.1372, mean_absolute_error: 0.4058, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.7458, predictive_accuracy: 0.748, prior_entropy: 0.9664, recall: 0.748, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4715, root_relative_squared_error: 0.9657, scimark_benchmark: 1877.5305, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.7016, kappa: 0.3731, kb_relative_information_score: 93.0447, mean_absolute_error: 0.3967, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.7012, predictive_accuracy: 0.702, prior_entropy: 0.9664, recall: 0.702, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.982, scimark_benchmark: 1850.8887, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.4598, kb_relative_information_score: -0.1272, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9664, recall: 0.608, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4882, root_relative_squared_error: 1, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.8523, kappa: 0.6906, kb_relative_information_score: 341.4704, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8526, predictive_accuracy: 0.852, prior_entropy: 0.9664, recall: 0.852, relative_absolute_error: 0.3104, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.788, usercpu_time_millis: 5.717, usercpu_time_millis_testing: 0.517, usercpu_time_millis_training: 5.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, f_measure: 0.6366, kappa: 0.2391, kb_relative_information_score: 110.3079, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6373, predictive_accuracy: 0.636, prior_entropy: 0.9664, recall: 0.636, relative_absolute_error: 0.7635, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6033, root_relative_squared_error: 1.2358, usercpu_time_millis: 1.94, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 1.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6489, f_measure: 0.6733, kappa: 0.3073, kb_relative_information_score: 157.3965, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6731, predictive_accuracy: 0.68, prior_entropy: 0.9664, recall: 0.68, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1587, usercpu_time_millis: 1.422, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 1.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5816, f_measure: 0.6084, kappa: 0.1692, kb_relative_information_score: 91.0443, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6064, predictive_accuracy: 0.618, prior_entropy: 0.9664, recall: 0.618, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.266, usercpu_time_millis: 0.996, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5977, f_measure: 0.6237, kappa: 0.2019, kb_relative_information_score: 106.0271, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.622, predictive_accuracy: 0.632, prior_entropy: 0.9664, recall: 0.632, relative_absolute_error: 0.7719, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6066, root_relative_squared_error: 1.2426, usercpu_time_millis: 0.357, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6233, f_measure: 0.6525, kappa: 0.2639, kb_relative_information_score: 148.835, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6638, predictive_accuracy: 0.672, prior_entropy: 0.9664, recall: 0.672, relative_absolute_error: 0.688, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5727, root_relative_squared_error: 1.1731, usercpu_time_millis: 0.352, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7721, f_measure: 0.7948, kappa: 0.5646, kb_relative_information_score: 285.8202, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8009, predictive_accuracy: 0.8, prior_entropy: 0.9664, recall: 0.8, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9161, usercpu_time_millis: 10.914, usercpu_time_millis_testing: 0.637, usercpu_time_millis_training: 10.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.8477, kappa: 0.68, kb_relative_information_score: 337.1897, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8475, predictive_accuracy: 0.848, prior_entropy: 0.9664, recall: 0.848, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7986, usercpu_time_millis: 0.297, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.7031, kappa: 0.3756, kb_relative_information_score: 183.0813, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.7025, predictive_accuracy: 0.704, prior_entropy: 0.9664, recall: 0.704, relative_absolute_error: 0.6209, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.1144, usercpu_time_millis: 11.502, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 11.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.8699, kappa: 0.7245, kb_relative_information_score: 362.8744, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8738, predictive_accuracy: 0.872, prior_entropy: 0.9664, recall: 0.872, relative_absolute_error: 0.2685, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7328, usercpu_time_millis: 6.446, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 6.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.8592, kappa: 0.7016, kb_relative_information_score: 352.1724, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8647, predictive_accuracy: 0.862, prior_entropy: 0.9664, recall: 0.862, relative_absolute_error: 0.2895, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7609, usercpu_time_millis: 35.659, usercpu_time_millis_testing: 4.048, usercpu_time_millis_training: 31.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.8594, kappa: 0.7021, kb_relative_information_score: 352.1724, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8641, predictive_accuracy: 0.862, prior_entropy: 0.9664, recall: 0.862, relative_absolute_error: 0.2895, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7609, usercpu_time_millis: 6.96, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 6.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5207, f_measure: 0.548, kappa: 0.0425, kb_relative_information_score: 24.6921, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.5439, predictive_accuracy: 0.556, prior_entropy: 0.9664, recall: 0.556, relative_absolute_error: 0.9313, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3649, usercpu_time_millis: 0.379, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.8016, kappa: 0.5805, kb_relative_information_score: 290.101, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8025, predictive_accuracy: 0.804, prior_entropy: 0.9664, recall: 0.804, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.9068, usercpu_time_millis: 64.242, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 64.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5915, f_measure: 0.6188, kappa: 0.1908, kb_relative_information_score: 103.8867, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6179, predictive_accuracy: 0.63, prior_entropy: 0.9664, recall: 0.63, relative_absolute_error: 0.7761, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.246, usercpu_time_millis: 0.233, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5741, f_measure: 0.6009, kappa: 0.1534, kb_relative_information_score: 82.4828, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.5984, predictive_accuracy: 0.61, prior_entropy: 0.9664, recall: 0.61, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6245, root_relative_squared_error: 1.2792, usercpu_time_millis: 0.435, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.8806, kappa: 0.7476, kb_relative_information_score: 373.5764, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8826, predictive_accuracy: 0.882, prior_entropy: 0.9664, recall: 0.882, relative_absolute_error: 0.2475, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.7036, usercpu_time_millis: 368.458, usercpu_time_millis_testing: 6.936, usercpu_time_millis_training: 361.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.6067, kappa: 0.1657, kb_relative_information_score: 88.9039, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6045, predictive_accuracy: 0.616, prior_entropy: 0.9664, recall: 0.616, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6197, root_relative_squared_error: 1.2693, usercpu_time_millis: 0.622, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.8434, kappa: 0.6703, kb_relative_information_score: 332.9089, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8432, predictive_accuracy: 0.844, prior_entropy: 0.9664, recall: 0.844, relative_absolute_error: 0.3272, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.395, root_relative_squared_error: 0.809, usercpu_time_millis: 2.596, usercpu_time_millis_testing: 0.818, usercpu_time_millis_training: 1.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4918, f_measure: 0.455, kappa: -0.0199, kb_relative_information_score: 69.6404, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.3673, predictive_accuracy: 0.598, prior_entropy: 0.9664, recall: 0.598, relative_absolute_error: 0.8432, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.634, root_relative_squared_error: 1.2987, usercpu_time_millis: 1.183, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 1.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.7387, kappa: 0.4472, kb_relative_information_score: 223.7488, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.7386, predictive_accuracy: 0.742, prior_entropy: 0.9664, recall: 0.742, relative_absolute_error: 0.5411, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.0404, usercpu_time_millis: 1.601, usercpu_time_millis_testing: 0.517, usercpu_time_millis_training: 1.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.7124, kappa: 0.394, kb_relative_information_score: 193.7832, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.7115, predictive_accuracy: 0.714, prior_entropy: 0.9664, recall: 0.714, relative_absolute_error: 0.5999, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5348, root_relative_squared_error: 1.0954, usercpu_time_millis: 0.894, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.6857, kappa: 0.359, kb_relative_information_score: 159.5369, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.7003, predictive_accuracy: 0.682, prior_entropy: 0.9664, recall: 0.682, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5639, root_relative_squared_error: 1.1551, usercpu_time_millis: 10.302, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 10.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5125, f_measure: 0.4992, kappa: 0.0297, kb_relative_information_score: 82.4828, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.578, predictive_accuracy: 0.61, prior_entropy: 0.9664, recall: 0.61, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6245, root_relative_squared_error: 1.2792, usercpu_time_millis: 0.218, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.7016, kappa: 0.3731, kb_relative_information_score: 180.9409, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.7012, predictive_accuracy: 0.702, prior_entropy: 0.9664, recall: 0.702, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5459, root_relative_squared_error: 1.1182, usercpu_time_millis: 1.171, usercpu_time_millis_testing: 0.89, usercpu_time_millis_training: 0.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.6067, kappa: 0.1657, kb_relative_information_score: 88.9039, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6045, predictive_accuracy: 0.616, prior_entropy: 0.9664, recall: 0.616, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6197, root_relative_squared_error: 1.2693, usercpu_time_millis: 0.384, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7315, f_measure: 0.744, kappa: 0.4629, kb_relative_information_score: 225.8892, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.744, predictive_accuracy: 0.744, prior_entropy: 0.9664, recall: 0.744, relative_absolute_error: 0.537, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.506, root_relative_squared_error: 1.0364, usercpu_time_millis: 18.37, usercpu_time_millis_testing: 1.594, usercpu_time_millis_training: 16.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5907, f_measure: 0.6141, kappa: 0.1846, kb_relative_information_score: 91.0443, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6119, predictive_accuracy: 0.618, prior_entropy: 0.9664, recall: 0.618, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.266, usercpu_time_millis: 1.793, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 1.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5873, f_measure: 0.6146, kappa: 0.182, kb_relative_information_score: 99.6059, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6136, predictive_accuracy: 0.626, prior_entropy: 0.9664, recall: 0.626, relative_absolute_error: 0.7845, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6116, root_relative_squared_error: 1.2527, usercpu_time_millis: 0.931, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.6067, kappa: 0.1657, kb_relative_information_score: 88.9039, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6045, predictive_accuracy: 0.616, prior_entropy: 0.9664, recall: 0.616, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6197, root_relative_squared_error: 1.2693, usercpu_time_millis: 0.279, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5842, f_measure: 0.6108, kappa: 0.1744, kb_relative_information_score: 93.1847, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6088, predictive_accuracy: 0.62, prior_entropy: 0.9664, recall: 0.62, relative_absolute_error: 0.797, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.2627, usercpu_time_millis: 0.066, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5884, f_measure: 0.6149, kappa: 0.1831, kb_relative_information_score: 97.4655, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.613, predictive_accuracy: 0.624, prior_entropy: 0.9664, recall: 0.624, relative_absolute_error: 0.7886, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.256, usercpu_time_millis: 0.097, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6052, f_measure: 0.6313, kappa: 0.2178, kb_relative_information_score: 114.5887, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6301, predictive_accuracy: 0.64, prior_entropy: 0.9664, recall: 0.64, relative_absolute_error: 0.7551, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6, root_relative_squared_error: 1.229, usercpu_time_millis: 0.251, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 0.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6303, f_measure: 0.6558, kappa: 0.27, kb_relative_information_score: 140.2734, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6556, predictive_accuracy: 0.664, prior_entropy: 0.9664, recall: 0.664, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1873, usercpu_time_millis: 0.809, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 0.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5767, f_measure: 0.6032, kappa: 0.1586, kb_relative_information_score: 84.6231, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6008, predictive_accuracy: 0.612, prior_entropy: 0.9664, recall: 0.612, relative_absolute_error: 0.8138, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2759, usercpu_time_millis: 0.39, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.8642, kappa: 0.7157, kb_relative_information_score: 354.3128, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8646, predictive_accuracy: 0.864, prior_entropy: 0.9664, recall: 0.864, relative_absolute_error: 0.2853, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7554, usercpu_time_millis: 3.096, usercpu_time_millis_testing: 1.066, usercpu_time_millis_training: 2.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5681, f_measure: 0.5921, kappa: 0.1384, kb_relative_information_score: 67.5, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.5897, predictive_accuracy: 0.596, prior_entropy: 0.9664, recall: 0.596, relative_absolute_error: 0.8474, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6356, root_relative_squared_error: 1.302, usercpu_time_millis: 2.772, usercpu_time_millis_testing: 0.802, usercpu_time_millis_training: 1.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.8648, kappa: 0.7145, kb_relative_information_score: 356.4532, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8657, predictive_accuracy: 0.866, prior_entropy: 0.9664, recall: 0.866, relative_absolute_error: 0.2811, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7498, usercpu_time_millis: 3.085, usercpu_time_millis_testing: 0.757, usercpu_time_millis_training: 2.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5767, f_measure: 0.6032, kappa: 0.1586, kb_relative_information_score: 84.6231, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6008, predictive_accuracy: 0.612, prior_entropy: 0.9664, recall: 0.612, relative_absolute_error: 0.8138, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2759, usercpu_time_millis: 0.664, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6079, f_measure: 0.636, kappa: 0.2272, kb_relative_information_score: 125.2906, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6384, predictive_accuracy: 0.65, prior_entropy: 0.9664, recall: 0.65, relative_absolute_error: 0.7341, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2118, usercpu_time_millis: 1.26, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 1.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5718, f_measure: 0.6002, kappa: 0.1513, kb_relative_information_score: 88.9039, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6002, predictive_accuracy: 0.616, prior_entropy: 0.9664, recall: 0.616, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6197, root_relative_squared_error: 1.2693, usercpu_time_millis: 0.559, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 0.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.8498, kappa: 0.6813, kb_relative_information_score: 343.6108, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8599, predictive_accuracy: 0.854, prior_entropy: 0.9664, recall: 0.854, relative_absolute_error: 0.3062, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3821, root_relative_squared_error: 0.7827, usercpu_time_millis: 2.892, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 2.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4598, kb_relative_information_score: 80.3424, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9664, recall: 0.608, relative_absolute_error: 0.8222, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2825, usercpu_time_millis: 0.872, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5918, f_measure: 0.6178, kappa: 0.1897, kb_relative_information_score: 99.6059, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6159, predictive_accuracy: 0.626, prior_entropy: 0.9664, recall: 0.626, relative_absolute_error: 0.7845, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6116, root_relative_squared_error: 1.2527, usercpu_time_millis: 0.338, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.868, kappa: 0.7204, kb_relative_information_score: 360.734, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8714, predictive_accuracy: 0.87, prior_entropy: 0.9664, recall: 0.87, relative_absolute_error: 0.2727, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7385, usercpu_time_millis: 93.383, usercpu_time_millis_testing: 5.013, usercpu_time_millis_training: 88.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.8263, kappa: 0.6317, kb_relative_information_score: 317.9261, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8315, predictive_accuracy: 0.83, prior_entropy: 0.9664, recall: 0.83, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8446, usercpu_time_millis: 29.946, usercpu_time_millis_testing: 2.78, usercpu_time_millis_training: 27.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.8371, kappa: 0.6567, kb_relative_information_score: 326.4877, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8371, predictive_accuracy: 0.838, prior_entropy: 0.9664, recall: 0.838, relative_absolute_error: 0.3398, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8244, usercpu_time_millis: 1.279, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 1.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.8556, kappa: 0.6941, kb_relative_information_score: 347.8916, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8594, predictive_accuracy: 0.858, prior_entropy: 0.9664, recall: 0.858, relative_absolute_error: 0.2978, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7719, usercpu_time_millis: 2.619, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 2.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.6067, kappa: 0.1657, kb_relative_information_score: 88.9039, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6045, predictive_accuracy: 0.616, prior_entropy: 0.9664, recall: 0.616, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6197, root_relative_squared_error: 1.2693, usercpu_time_millis: 0.303, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.7673, kappa: 0.5106, kb_relative_information_score: 251.5739, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.7669, predictive_accuracy: 0.768, prior_entropy: 0.9664, recall: 0.768, relative_absolute_error: 0.4866, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4817, root_relative_squared_error: 0.9866, usercpu_time_millis: 4.54, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 4.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5998, f_measure: 0.6182, kappa: 0.1993, kb_relative_information_score: 91.0443, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6183, predictive_accuracy: 0.618, prior_entropy: 0.9664, recall: 0.618, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.266, usercpu_time_millis: 1.737, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 1.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.8871, kappa: 0.7616, kb_relative_information_score: 379.9975, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.888, predictive_accuracy: 0.888, prior_entropy: 0.9664, recall: 0.888, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6855, usercpu_time_millis: 26.873, usercpu_time_millis_testing: 3.262, usercpu_time_millis_training: 23.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.8401, kappa: 0.6649, kb_relative_information_score: 269.7282, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8403, predictive_accuracy: 0.84, prior_entropy: 0.9664, recall: 0.84, relative_absolute_error: 0.4849, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7408, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8111, kappa: 0.602, kb_relative_information_score: 235.7027, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8108, predictive_accuracy: 0.812, prior_entropy: 0.9664, recall: 0.812, relative_absolute_error: 0.5543, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.7259, scimark_benchmark: 972.587, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8617, kappa: 0.7092, kb_relative_information_score: 300.7786, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8615, predictive_accuracy: 0.862, prior_entropy: 0.9664, recall: 0.862, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.6624, scimark_benchmark: 851.2074, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8408, kappa: 0.668, kb_relative_information_score: 293.1568, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8425, predictive_accuracy: 0.84, prior_entropy: 0.9664, recall: 0.84, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7127, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.844, kappa: 0.67, kb_relative_information_score: 282.8956, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8459, predictive_accuracy: 0.846, prior_entropy: 0.9664, recall: 0.846, relative_absolute_error: 0.4601, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.6543, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8408, kappa: 0.668, kb_relative_information_score: 293.1568, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8425, predictive_accuracy: 0.84, prior_entropy: 0.9664, recall: 0.84, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7127, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.8313, kappa: 0.645, kb_relative_information_score: 280.0169, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8311, predictive_accuracy: 0.832, prior_entropy: 0.9664, recall: 0.832, relative_absolute_error: 0.455, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7649, scimark_benchmark: 927.2917, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, f_measure: 0.6692, kappa: 0.2987, kb_relative_information_score: 153.1158, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6689, predictive_accuracy: 0.676, prior_entropy: 0.9664, recall: 0.676, relative_absolute_error: 0.6796, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5692, root_relative_squared_error: 1.1659, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8408, kappa: 0.668, kb_relative_information_score: 293.1568, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8425, predictive_accuracy: 0.84, prior_entropy: 0.9664, recall: 0.84, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7127, scimark_benchmark: 974.2014, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8408, kappa: 0.668, kb_relative_information_score: 293.1568, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8425, predictive_accuracy: 0.84, prior_entropy: 0.9664, recall: 0.84, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7127, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8408, kappa: 0.668, kb_relative_information_score: 293.1568, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8425, predictive_accuracy: 0.84, prior_entropy: 0.9664, recall: 0.84, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7127, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8408, kappa: 0.668, kb_relative_information_score: 293.1568, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8425, predictive_accuracy: 0.84, prior_entropy: 0.9664, recall: 0.84, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7127, scimark_benchmark: 974.2014, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.8313, kappa: 0.645, kb_relative_information_score: 280.0169, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8311, predictive_accuracy: 0.832, prior_entropy: 0.9664, recall: 0.832, relative_absolute_error: 0.455, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7649, scimark_benchmark: 936.3373, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.845, kappa: 0.6716, kb_relative_information_score: 223.4284, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8497, predictive_accuracy: 0.848, prior_entropy: 0.9664, recall: 0.848, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6949, scimark_benchmark: 947.1781, usercpu_time_millis: 210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.8401, kappa: 0.6649, kb_relative_information_score: 269.7282, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8403, predictive_accuracy: 0.84, prior_entropy: 0.9664, recall: 0.84, relative_absolute_error: 0.4849, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7408, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8111, kappa: 0.602, kb_relative_information_score: 235.7027, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8108, predictive_accuracy: 0.812, prior_entropy: 0.9664, recall: 0.812, relative_absolute_error: 0.5543, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.7259, scimark_benchmark: 901.6243, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, f_measure: 0.6692, kappa: 0.2987, kb_relative_information_score: 153.1158, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6689, predictive_accuracy: 0.676, prior_entropy: 0.9664, recall: 0.676, relative_absolute_error: 0.6796, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5692, root_relative_squared_error: 1.1659, scimark_benchmark: 930.404, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, f_measure: 0.6692, kappa: 0.2987, kb_relative_information_score: 153.1158, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.6689, predictive_accuracy: 0.676, prior_entropy: 0.9664, recall: 0.676, relative_absolute_error: 0.6796, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5692, root_relative_squared_error: 1.1659, scimark_benchmark: 919.3788, usercpu_time_millis: 440, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8408, kappa: 0.668, kb_relative_information_score: 293.1568, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8425, predictive_accuracy: 0.84, prior_entropy: 0.9664, recall: 0.84, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7127, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8408, kappa: 0.668, kb_relative_information_score: 293.1568, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8425, predictive_accuracy: 0.84, prior_entropy: 0.9664, recall: 0.84, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7127, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8408, kappa: 0.668, kb_relative_information_score: 293.1568, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8425, predictive_accuracy: 0.84, prior_entropy: 0.9664, recall: 0.84, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7127, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs