OpenML
Supervised Classification on gina_agnostic

Supervised Classification on gina_agnostic

Task 3891 Supervised Classification gina_agnostic 66404 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_73 under100k
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -1.8135, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.4916, prior_entropy: 0.9998, recall: 0.4916, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 0.7602, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8642, kappa: 0.7283, kb_relative_information_score: 2010.0424, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8642, predictive_accuracy: 0.8642, prior_entropy: 0.9998, recall: 0.8642, relative_absolute_error: 0.4551, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -0.3248, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4246, kappa: -0.0507, kb_relative_information_score: -211.4837, mean_absolute_error: 0.5303, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.4624, predictive_accuracy: 0.4697, prior_entropy: 0.9998, recall: 0.4697, relative_absolute_error: 1.0609, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7282, root_relative_squared_error: 1.4566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.8999, kappa: 0.7998, kb_relative_information_score: 2486.2426, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9, predictive_accuracy: 0.8999, prior_entropy: 0.9998, recall: 0.8999, relative_absolute_error: 0.3047, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.5392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.9001, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.4916, prior_entropy: 0.9998, recall: 0.4916, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8082, kappa: 0.6165, kb_relative_information_score: 1234.7271, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8097, predictive_accuracy: 0.8085, prior_entropy: 0.9998, recall: 0.8085, relative_absolute_error: 0.6902, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.385, root_relative_squared_error: 0.7701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 2.543, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4453, kappa: 0.0002, kb_relative_information_score: -1.9983, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.5003, predictive_accuracy: 0.4951, prior_entropy: 0.9998, recall: 0.4951, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.7724, kappa: 0.5446, kb_relative_information_score: 1622.1815, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7727, predictive_accuracy: 0.7725, prior_entropy: 0.9998, recall: 0.7725, relative_absolute_error: 0.5496, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4453, kappa: 0.0002, kb_relative_information_score: -1.5212, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.5003, predictive_accuracy: 0.4951, prior_entropy: 0.9998, recall: 0.4951, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 0.3518, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -1.8897, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.4916, prior_entropy: 0.9998, recall: 0.4916, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 1.384, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 0.3432, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 2.0835, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.4555, kappa: -0.0002, kb_relative_information_score: -1.3031, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.4999, predictive_accuracy: 0.5049, prior_entropy: 0.9998, recall: 0.5049, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -2.5228, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.4916, prior_entropy: 0.9998, recall: 0.4916, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8165, kappa: 0.633, kb_relative_information_score: 1894.6507, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8168, predictive_accuracy: 0.8166, prior_entropy: 0.9998, recall: 0.8166, relative_absolute_error: 0.4736, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4555, kappa: -0.0002, kb_relative_information_score: -1.3997, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.4999, predictive_accuracy: 0.5049, prior_entropy: 0.9998, recall: 0.5049, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -0.0489, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.7961, kappa: 0.5922, kb_relative_information_score: 1157.1297, mean_absolute_error: 0.3546, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7962, predictive_accuracy: 0.7961, prior_entropy: 0.9998, recall: 0.7961, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.7862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -0.2716, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -6.0198, mean_absolute_error: 0.5005, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.4916, prior_entropy: 0.9998, recall: 0.4916, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 1.7205, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, f_measure: 0.6955, kappa: 0.3909, kb_relative_information_score: 852.384, mean_absolute_error: 0.3937, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.696, predictive_accuracy: 0.6958, prior_entropy: 0.9998, recall: 0.6958, relative_absolute_error: 0.7875, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4321, root_relative_squared_error: 0.8643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 7.0781, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 6.4423, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -2.3542, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.4916, prior_entropy: 0.9998, recall: 0.4916, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -59.4224, mean_absolute_error: 0.5084, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.4916, prior_entropy: 0.9998, recall: 0.4916, relative_absolute_error: 1.017, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.713, root_relative_squared_error: 1.4262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.7661, kappa: 0.5335, kb_relative_information_score: 1102.2819, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7712, predictive_accuracy: 0.7673, prior_entropy: 0.9998, recall: 0.7673, relative_absolute_error: 0.7205, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.872, kappa: 0.7439, kb_relative_information_score: 1907.2945, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.872, predictive_accuracy: 0.872, prior_entropy: 0.9998, recall: 0.872, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.6364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 0.2691, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.7022, kappa: 0.4146, kb_relative_information_score: 721.5539, mean_absolute_error: 0.411, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7209, predictive_accuracy: 0.7062, prior_entropy: 0.9998, recall: 0.7062, relative_absolute_error: 0.8222, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.8896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4555, kappa: -0.0002, kb_relative_information_score: -1.2944, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.4999, predictive_accuracy: 0.5049, prior_entropy: 0.9998, recall: 0.5049, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -5.2597, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.4916, prior_entropy: 0.9998, recall: 0.4916, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.8339, kappa: 0.6678, kb_relative_information_score: 1461.6001, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8341, predictive_accuracy: 0.8339, prior_entropy: 0.9998, recall: 0.8339, relative_absolute_error: 0.6254, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.364, root_relative_squared_error: 0.7281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -14.8921, mean_absolute_error: 0.5015, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.4916, prior_entropy: 0.9998, recall: 0.4916, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.509, root_relative_squared_error: 1.0182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 1.0313, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.8128, kappa: 0.6255, kb_relative_information_score: 1655.7788, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.813, predictive_accuracy: 0.8129, prior_entropy: 0.9998, recall: 0.8129, relative_absolute_error: 0.5539, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.8432, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 2.5046, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.863, kappa: 0.7259, kb_relative_information_score: 1944.8422, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8631, predictive_accuracy: 0.863, prior_entropy: 0.9998, recall: 0.863, relative_absolute_error: 0.4771, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.6393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.7986, kappa: 0.5974, kb_relative_information_score: 1354.5047, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8003, predictive_accuracy: 0.799, prior_entropy: 0.9998, recall: 0.799, relative_absolute_error: 0.6489, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.7699, kappa: 0.5424, kb_relative_information_score: 590.3175, mean_absolute_error: 0.4327, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7796, predictive_accuracy: 0.7719, prior_entropy: 0.9998, recall: 0.7719, relative_absolute_error: 0.8657, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 0.3487, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.4453, kappa: 0.0002, kb_relative_information_score: -1.6431, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.5003, predictive_accuracy: 0.4951, prior_entropy: 0.9998, recall: 0.4951, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.8795, kappa: 0.7589, kb_relative_information_score: 2163.0993, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8795, predictive_accuracy: 0.8795, prior_entropy: 0.9998, recall: 0.8795, relative_absolute_error: 0.4068, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.6098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -2.0688, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.4916, prior_entropy: 0.9998, recall: 0.4916, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.5102, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.4916, prior_entropy: 0.9998, recall: 0.4916, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5763, f_measure: 0.5678, kappa: 0.1463, kb_relative_information_score: 518.8106, mean_absolute_error: 0.425, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.5778, predictive_accuracy: 0.575, prior_entropy: 0.9998, recall: 0.575, relative_absolute_error: 0.8503, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6519, root_relative_squared_error: 1.3041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -0.0358, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.8204, kappa: 0.6406, kb_relative_information_score: 2117.8047, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8204, predictive_accuracy: 0.8204, prior_entropy: 0.9998, recall: 0.8204, relative_absolute_error: 0.3966, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.7572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.521, f_measure: 0.5143, kappa: 0.0419, kb_relative_information_score: 132.655, mean_absolute_error: 0.4807, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.5222, predictive_accuracy: 0.5193, prior_entropy: 0.9998, recall: 0.5193, relative_absolute_error: 0.9616, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6933, root_relative_squared_error: 1.3868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -0.6698, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.8622, kappa: 0.7243, kb_relative_information_score: 2107.8259, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8622, predictive_accuracy: 0.8622, prior_entropy: 0.9998, recall: 0.8622, relative_absolute_error: 0.4193, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9369, kappa: 0.8737, kb_relative_information_score: 2559.41, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9369, predictive_accuracy: 0.9369, prior_entropy: 0.9998, recall: 0.9369, relative_absolute_error: 0.2976, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.4589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.8277, kappa: 0.6554, kb_relative_information_score: 1856.9011, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8283, predictive_accuracy: 0.8279, prior_entropy: 0.9998, recall: 0.8279, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5644, f_measure: 0.5623, kappa: 0.1284, kb_relative_information_score: 438.4808, mean_absolute_error: 0.4366, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.5653, predictive_accuracy: 0.5634, prior_entropy: 0.9998, recall: 0.5634, relative_absolute_error: 0.8735, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6607, root_relative_squared_error: 1.3217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 0.1614, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4453, kappa: 0.0002, kb_relative_information_score: -14.2518, mean_absolute_error: 0.5015, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.5003, predictive_accuracy: 0.4951, prior_entropy: 0.9998, recall: 0.4951, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5253, root_relative_squared_error: 1.0508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.8171, kappa: 0.6341, kb_relative_information_score: 1756.9701, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8173, predictive_accuracy: 0.8172, prior_entropy: 0.9998, recall: 0.8172, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -0.2515, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -4.5963, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.4916, prior_entropy: 0.9998, recall: 0.4916, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.7855, kappa: 0.5709, kb_relative_information_score: 1970.2104, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7855, predictive_accuracy: 0.7855, prior_entropy: 0.9998, recall: 0.7855, relative_absolute_error: 0.4328, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8541, kappa: 0.7082, kb_relative_information_score: 1714.1307, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8542, predictive_accuracy: 0.8541, prior_entropy: 0.9998, recall: 0.8541, relative_absolute_error: 0.5515, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.6745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.8322, kappa: 0.6642, kb_relative_information_score: 2000.6319, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8322, predictive_accuracy: 0.8322, prior_entropy: 0.9998, recall: 0.8322, relative_absolute_error: 0.4435, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 0.9113, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9095, kappa: 0.8189, kb_relative_information_score: 2334.3392, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9095, predictive_accuracy: 0.9095, prior_entropy: 0.9998, recall: 0.9095, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2643, root_relative_squared_error: 0.5287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.7486, kappa: 0.5002, kb_relative_information_score: 967.8954, mean_absolute_error: 0.3808, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7578, predictive_accuracy: 0.7509, prior_entropy: 0.9998, recall: 0.7509, relative_absolute_error: 0.7618, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.7703, kappa: 0.5412, kb_relative_information_score: 1082.0358, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7735, predictive_accuracy: 0.771, prior_entropy: 0.9998, recall: 0.771, relative_absolute_error: 0.7312, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.7479, kappa: 0.4994, kb_relative_information_score: 401.8314, mean_absolute_error: 0.4561, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7593, predictive_accuracy: 0.7506, prior_entropy: 0.9998, recall: 0.7506, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -2.2117, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.4916, prior_entropy: 0.9998, recall: 0.4916, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: 2.084, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.7179, kappa: 0.4469, kb_relative_information_score: 926.1233, mean_absolute_error: 0.3823, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7455, predictive_accuracy: 0.7249, prior_entropy: 0.9998, recall: 0.7249, relative_absolute_error: 0.7648, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -3.1122, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.4916, prior_entropy: 0.9998, recall: 0.4916, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -0.8076, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5784, f_measure: 0.5767, kappa: 0.1565, kb_relative_information_score: 536.8179, mean_absolute_error: 0.4224, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.5793, predictive_accuracy: 0.5776, prior_entropy: 0.9998, recall: 0.5776, relative_absolute_error: 0.8451, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6499, root_relative_squared_error: 1.3001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -0.1194, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.8131, kappa: 0.6261, kb_relative_information_score: 1546.2877, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8132, predictive_accuracy: 0.8131, prior_entropy: 0.9998, recall: 0.8131, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.7346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.7207, kappa: 0.4486, kb_relative_information_score: 702.7074, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7388, predictive_accuracy: 0.7255, prior_entropy: 0.9998, recall: 0.7255, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.5998, kappa: 0.1993, kb_relative_information_score: 690.88, mean_absolute_error: 0.4002, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.5998, predictive_accuracy: 0.5998, prior_entropy: 0.9998, recall: 0.5998, relative_absolute_error: 0.8007, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6326, root_relative_squared_error: 1.2655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 56.6243, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 56.6243, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6366, f_measure: 0.6367, kappa: 0.2731, kb_relative_information_score: 946.9832, mean_absolute_error: 0.3633, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.6367, predictive_accuracy: 0.6367, prior_entropy: 0.9998, recall: 0.6367, relative_absolute_error: 0.7268, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6028, root_relative_squared_error: 1.2057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.9227, kappa: 0.8454, kb_relative_information_score: 2931.7831, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9227, predictive_accuracy: 0.9227, prior_entropy: 0.9998, recall: 0.9227, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.278, root_relative_squared_error: 0.5561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.9265, kappa: 0.8529, kb_relative_information_score: 2957.7936, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9265, predictive_accuracy: 0.9265, prior_entropy: 0.9998, recall: 0.9265, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.5424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 56.6243, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.8913, kappa: 0.7825, kb_relative_information_score: 2713.6952, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8913, predictive_accuracy: 0.8913, prior_entropy: 0.9998, recall: 0.8913, relative_absolute_error: 0.2175, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.6595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8047, f_measure: 0.8039, kappa: 0.6115, kb_relative_information_score: 2125.4581, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8206, predictive_accuracy: 0.8065, prior_entropy: 0.9998, recall: 0.8065, relative_absolute_error: 0.3871, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.8799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.8232, kappa: 0.6463, kb_relative_information_score: 2241.5049, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8232, predictive_accuracy: 0.8232, prior_entropy: 0.9998, recall: 0.8232, relative_absolute_error: 0.3536, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.8446, kappa: 0.6891, kb_relative_information_score: 2389.5646, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8446, predictive_accuracy: 0.8446, prior_entropy: 0.9998, recall: 0.8446, relative_absolute_error: 0.3109, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.7886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.88, kappa: 0.7607, kb_relative_information_score: 2639.6654, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8867, predictive_accuracy: 0.8806, prior_entropy: 0.9998, recall: 0.8806, relative_absolute_error: 0.2388, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6402, f_measure: 0.6402, kappa: 0.2803, kb_relative_information_score: 970.9929, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.6403, predictive_accuracy: 0.6401, prior_entropy: 0.9998, recall: 0.6401, relative_absolute_error: 0.7199, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5999, root_relative_squared_error: 1.1999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7886, f_measure: 0.7886, kappa: 0.5771, kb_relative_information_score: 2001.4081, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7886, predictive_accuracy: 0.7886, prior_entropy: 0.9998, recall: 0.7886, relative_absolute_error: 0.4228, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 56.6243, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.9317, kappa: 0.8633, kb_relative_information_score: 2993.8081, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9317, predictive_accuracy: 0.9317, prior_entropy: 0.9998, recall: 0.9317, relative_absolute_error: 0.1367, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.5229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.9158, kappa: 0.8315, kb_relative_information_score: 2883.7637, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.916, predictive_accuracy: 0.9158, prior_entropy: 0.9998, recall: 0.9158, relative_absolute_error: 0.1684, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.5804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6337, f_measure: 0.6338, kappa: 0.2674, kb_relative_information_score: 926.9751, mean_absolute_error: 0.3662, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.6338, predictive_accuracy: 0.6338, prior_entropy: 0.9998, recall: 0.6338, relative_absolute_error: 0.7326, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6051, root_relative_squared_error: 1.2105,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs