Task
Supervised Classification on credit-g

Supervised Classification on credit-g

Task 31 Supervised Classification credit-g 416626 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 python study_1 study_107 study_123 study_130 study_14 study_15 study_20 study_218 study_41 study_50 study_7 study_70 study_98 study_99 under100k under1m
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416626 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6926, f_measure: 0.7632, kappa: 0.4183, kb_relative_information_score: 0.4254, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7642, predictive_accuracy: 0.775, prior_entropy: 0.8813, recall: 0.775, relative_absolute_error: 0.5355, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4743, root_relative_squared_error: 1.0351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.7657, kappa: 0.4247, kb_relative_information_score: 0.4306, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7665, predictive_accuracy: 0.777, prior_entropy: 0.8813, recall: 0.777, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4722, root_relative_squared_error: 1.0305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6957, f_measure: 0.7662, kappa: 0.4255, kb_relative_information_score: 0.4331, mean_absolute_error: 0.222, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7676, predictive_accuracy: 0.778, prior_entropy: 0.8813, recall: 0.778, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4712, root_relative_squared_error: 1.0282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.7637, kappa: 0.4191, kb_relative_information_score: 0.428, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7652, predictive_accuracy: 0.776, prior_entropy: 0.8813, recall: 0.776, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4733, root_relative_squared_error: 1.0328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6957, f_measure: 0.7662, kappa: 0.4255, kb_relative_information_score: 0.4331, mean_absolute_error: 0.222, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7676, predictive_accuracy: 0.778, prior_entropy: 0.8813, recall: 0.778, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4712, root_relative_squared_error: 1.0282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.7687, kappa: 0.4318, kb_relative_information_score: 0.4382, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7699, predictive_accuracy: 0.78, prior_entropy: 0.8813, recall: 0.78, relative_absolute_error: 0.5236, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.469, root_relative_squared_error: 1.0235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.7574, kappa: 0.4035, kb_relative_information_score: 0.4127, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7584, predictive_accuracy: 0.77, prior_entropy: 0.8813, recall: 0.77, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4796, root_relative_squared_error: 1.0465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.7634, kappa: 0.4179, kb_relative_information_score: 0.428, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7652, predictive_accuracy: 0.776, prior_entropy: 0.8813, recall: 0.776, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4733, root_relative_squared_error: 1.0328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.7464, kappa: 0.3801, kb_relative_information_score: 0.3769, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7443, predictive_accuracy: 0.756, prior_entropy: 0.8813, recall: 0.756, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.7464, kappa: 0.3801, kb_relative_information_score: 0.3769, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7443, predictive_accuracy: 0.756, prior_entropy: 0.8813, recall: 0.756, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6862, f_measure: 0.7578, kappa: 0.4048, kb_relative_information_score: 0.4127, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7584, predictive_accuracy: 0.77, prior_entropy: 0.8813, recall: 0.77, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4796, root_relative_squared_error: 1.0465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, f_measure: 0.7625, kappa: 0.4159, kb_relative_information_score: 0.4254, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7641, predictive_accuracy: 0.775, prior_entropy: 0.8813, recall: 0.775, relative_absolute_error: 0.5355, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4743, root_relative_squared_error: 1.0351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.7464, kappa: 0.3801, kb_relative_information_score: 0.3769, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7443, predictive_accuracy: 0.756, prior_entropy: 0.8813, recall: 0.756, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.7473, kappa: 0.382, kb_relative_information_score: 0.3795, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7452, predictive_accuracy: 0.757, prior_entropy: 0.8813, recall: 0.757, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.493, root_relative_squared_error: 1.0757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.7473, kappa: 0.382, kb_relative_information_score: 0.3795, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7452, predictive_accuracy: 0.757, prior_entropy: 0.8813, recall: 0.757, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.493, root_relative_squared_error: 1.0757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.7473, kappa: 0.382, kb_relative_information_score: 0.3795, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7452, predictive_accuracy: 0.757, prior_entropy: 0.8813, recall: 0.757, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.493, root_relative_squared_error: 1.0757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.7611, kappa: 0.4131, kb_relative_information_score: 0.4203, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7619, predictive_accuracy: 0.773, prior_entropy: 0.8813, recall: 0.773, relative_absolute_error: 0.5403, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.7473, kappa: 0.382, kb_relative_information_score: 0.3795, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7452, predictive_accuracy: 0.757, prior_entropy: 0.8813, recall: 0.757, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.493, root_relative_squared_error: 1.0757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.7473, kappa: 0.382, kb_relative_information_score: 0.3795, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7452, predictive_accuracy: 0.757, prior_entropy: 0.8813, recall: 0.757, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.493, root_relative_squared_error: 1.0757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6798, f_measure: 0.7476, kappa: 0.3832, kb_relative_information_score: 0.3795, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7455, predictive_accuracy: 0.757, prior_entropy: 0.8813, recall: 0.757, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.493, root_relative_squared_error: 1.0757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.7603, kappa: 0.4112, kb_relative_information_score: 0.4178, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7608, predictive_accuracy: 0.772, prior_entropy: 0.8813, recall: 0.772, relative_absolute_error: 0.5427, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6926, f_measure: 0.7632, kappa: 0.4183, kb_relative_information_score: 0.4254, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7642, predictive_accuracy: 0.775, prior_entropy: 0.8813, recall: 0.775, relative_absolute_error: 0.5355, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4743, root_relative_squared_error: 1.0351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.7464, kappa: 0.3801, kb_relative_information_score: 0.3769, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7443, predictive_accuracy: 0.756, prior_entropy: 0.8813, recall: 0.756, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.7613, kappa: 0.4127, kb_relative_information_score: 0.4229, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7629, predictive_accuracy: 0.774, prior_entropy: 0.8813, recall: 0.774, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.7624, kappa: 0.4163, kb_relative_information_score: 0.4229, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7631, predictive_accuracy: 0.774, prior_entropy: 0.8813, recall: 0.774, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.7599, kappa: 0.4099, kb_relative_information_score: 0.4178, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7607, predictive_accuracy: 0.772, prior_entropy: 0.8813, recall: 0.772, relative_absolute_error: 0.5427, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.7624, kappa: 0.4163, kb_relative_information_score: 0.4229, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7631, predictive_accuracy: 0.774, prior_entropy: 0.8813, recall: 0.774, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.7616, kappa: 0.4139, kb_relative_information_score: 0.4229, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7629, predictive_accuracy: 0.774, prior_entropy: 0.8813, recall: 0.774, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.7616, kappa: 0.4139, kb_relative_information_score: 0.4229, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7629, predictive_accuracy: 0.774, prior_entropy: 0.8813, recall: 0.774, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6957, f_measure: 0.7662, kappa: 0.4255, kb_relative_information_score: 0.4331, mean_absolute_error: 0.222, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7676, predictive_accuracy: 0.778, prior_entropy: 0.8813, recall: 0.778, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4712, root_relative_squared_error: 1.0282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.7473, kappa: 0.382, kb_relative_information_score: 0.3795, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7452, predictive_accuracy: 0.757, prior_entropy: 0.8813, recall: 0.757, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.493, root_relative_squared_error: 1.0757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.7473, kappa: 0.382, kb_relative_information_score: 0.3795, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7452, predictive_accuracy: 0.757, prior_entropy: 0.8813, recall: 0.757, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.493, root_relative_squared_error: 1.0757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.7473, kappa: 0.382, kb_relative_information_score: 0.3795, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7452, predictive_accuracy: 0.757, prior_entropy: 0.8813, recall: 0.757, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.493, root_relative_squared_error: 1.0757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.7641, kappa: 0.4203, kb_relative_information_score: 0.428, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7653, predictive_accuracy: 0.776, prior_entropy: 0.8813, recall: 0.776, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4733, root_relative_squared_error: 1.0328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.7616, kappa: 0.4139, kb_relative_information_score: 0.4229, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7629, predictive_accuracy: 0.774, prior_entropy: 0.8813, recall: 0.774, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0374,
0 likes - 1 downloads - 1 reach - area_under_roc_curve: 0.69, f_measure: 0.7616, kappa: 0.4139, kb_relative_information_score: 0.4229, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7629, predictive_accuracy: 0.774, prior_entropy: 0.8813, recall: 0.774, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.759, kappa: 0.408, kb_relative_information_score: 0.4152, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7596, predictive_accuracy: 0.771, prior_entropy: 0.8813, recall: 0.771, relative_absolute_error: 0.545, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4785, root_relative_squared_error: 1.0443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.7616, kappa: 0.4139, kb_relative_information_score: 0.4229, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7629, predictive_accuracy: 0.774, prior_entropy: 0.8813, recall: 0.774, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.7615, kappa: 0.4143, kb_relative_information_score: 0.4203, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.762, predictive_accuracy: 0.773, prior_entropy: 0.8813, recall: 0.773, relative_absolute_error: 0.5403, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.7473, kappa: 0.382, kb_relative_information_score: 0.3795, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7452, predictive_accuracy: 0.757, prior_entropy: 0.8813, recall: 0.757, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.493, root_relative_squared_error: 1.0757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.7473, kappa: 0.382, kb_relative_information_score: 0.3795, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7452, predictive_accuracy: 0.757, prior_entropy: 0.8813, recall: 0.757, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.493, root_relative_squared_error: 1.0757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.7603, kappa: 0.4112, kb_relative_information_score: 0.4178, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7608, predictive_accuracy: 0.772, prior_entropy: 0.8813, recall: 0.772, relative_absolute_error: 0.5427, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.7473, kappa: 0.382, kb_relative_information_score: 0.3795, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7452, predictive_accuracy: 0.757, prior_entropy: 0.8813, recall: 0.757, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.493, root_relative_squared_error: 1.0757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.7473, kappa: 0.382, kb_relative_information_score: 0.3795, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7452, predictive_accuracy: 0.757, prior_entropy: 0.8813, recall: 0.757, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.493, root_relative_squared_error: 1.0757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.7473, kappa: 0.382, kb_relative_information_score: 0.3795, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7452, predictive_accuracy: 0.757, prior_entropy: 0.8813, recall: 0.757, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.493, root_relative_squared_error: 1.0757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6862, f_measure: 0.7578, kappa: 0.4048, kb_relative_information_score: 0.4127, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7584, predictive_accuracy: 0.77, prior_entropy: 0.8813, recall: 0.77, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4796, root_relative_squared_error: 1.0465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6774, f_measure: 0.7456, kappa: 0.3782, kb_relative_information_score: 0.3744, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7433, predictive_accuracy: 0.755, prior_entropy: 0.8813, recall: 0.755, relative_absolute_error: 0.5831, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.495, root_relative_squared_error: 1.0801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.7464, kappa: 0.3801, kb_relative_information_score: 0.3769, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7443, predictive_accuracy: 0.756, prior_entropy: 0.8813, recall: 0.756, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.691, f_measure: 0.762, kappa: 0.4151, kb_relative_information_score: 0.4229, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.763, predictive_accuracy: 0.774, prior_entropy: 0.8813, recall: 0.774, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.7674, kappa: 0.4286, kb_relative_information_score: 0.4357, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7687, predictive_accuracy: 0.779, prior_entropy: 0.8813, recall: 0.779, relative_absolute_error: 0.526, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4701, root_relative_squared_error: 1.0259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, f_measure: 0.7683, kappa: 0.4306, kb_relative_information_score: 0.4382, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7698, predictive_accuracy: 0.78, prior_entropy: 0.8813, recall: 0.78, relative_absolute_error: 0.5236, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.469, root_relative_squared_error: 1.0235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.7687, kappa: 0.4318, kb_relative_information_score: 0.4382, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7699, predictive_accuracy: 0.78, prior_entropy: 0.8813, recall: 0.78, relative_absolute_error: 0.5236, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.469, root_relative_squared_error: 1.0235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.7574, kappa: 0.4035, kb_relative_information_score: 0.4127, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7584, predictive_accuracy: 0.77, prior_entropy: 0.8813, recall: 0.77, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4796, root_relative_squared_error: 1.0465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.691, f_measure: 0.762, kappa: 0.4151, kb_relative_information_score: 0.4229, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.763, predictive_accuracy: 0.774, prior_entropy: 0.8813, recall: 0.774, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.7473, kappa: 0.382, kb_relative_information_score: 0.3795, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7452, predictive_accuracy: 0.757, prior_entropy: 0.8813, recall: 0.757, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.493, root_relative_squared_error: 1.0757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.7616, kappa: 0.4139, kb_relative_information_score: 0.4229, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7629, predictive_accuracy: 0.774, prior_entropy: 0.8813, recall: 0.774, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.7481, kappa: 0.3839, kb_relative_information_score: 0.382, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7462, predictive_accuracy: 0.758, prior_entropy: 0.8813, recall: 0.758, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4919, root_relative_squared_error: 1.0735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.7473, kappa: 0.382, kb_relative_information_score: 0.3795, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7452, predictive_accuracy: 0.757, prior_entropy: 0.8813, recall: 0.757, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.493, root_relative_squared_error: 1.0757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6917, f_measure: 0.7629, kappa: 0.4171, kb_relative_information_score: 0.4254, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7641, predictive_accuracy: 0.775, prior_entropy: 0.8813, recall: 0.775, relative_absolute_error: 0.5355, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4743, root_relative_squared_error: 1.0351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.7464, kappa: 0.3801, kb_relative_information_score: 0.3769, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7443, predictive_accuracy: 0.756, prior_entropy: 0.8813, recall: 0.756, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.7481, kappa: 0.3839, kb_relative_information_score: 0.382, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7462, predictive_accuracy: 0.758, prior_entropy: 0.8813, recall: 0.758, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4919, root_relative_squared_error: 1.0735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.7473, kappa: 0.382, kb_relative_information_score: 0.3795, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7452, predictive_accuracy: 0.757, prior_entropy: 0.8813, recall: 0.757, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.493, root_relative_squared_error: 1.0757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.7611, kappa: 0.4131, kb_relative_information_score: 0.4203, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7619, predictive_accuracy: 0.773, prior_entropy: 0.8813, recall: 0.773, relative_absolute_error: 0.5403, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6798, f_measure: 0.7476, kappa: 0.3832, kb_relative_information_score: 0.3795, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7455, predictive_accuracy: 0.757, prior_entropy: 0.8813, recall: 0.757, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.493, root_relative_squared_error: 1.0757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.7464, kappa: 0.3801, kb_relative_information_score: 0.3769, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7443, predictive_accuracy: 0.756, prior_entropy: 0.8813, recall: 0.756, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.7473, kappa: 0.382, kb_relative_information_score: 0.3795, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7452, predictive_accuracy: 0.757, prior_entropy: 0.8813, recall: 0.757, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.493, root_relative_squared_error: 1.0757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.7464, kappa: 0.3801, kb_relative_information_score: 0.3769, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7443, predictive_accuracy: 0.756, prior_entropy: 0.8813, recall: 0.756, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.7464, kappa: 0.3801, kb_relative_information_score: 0.3769, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7443, predictive_accuracy: 0.756, prior_entropy: 0.8813, recall: 0.756, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.7473, kappa: 0.382, kb_relative_information_score: 0.3795, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7452, predictive_accuracy: 0.757, prior_entropy: 0.8813, recall: 0.757, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.493, root_relative_squared_error: 1.0757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.7368, kappa: 0.3481, kb_relative_information_score: 0.1872, mean_absolute_error: 0.3418, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7439, predictive_accuracy: 0.758, prior_entropy: 0.8813, recall: 0.758, relative_absolute_error: 0.8135, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.7426, kappa: 0.3737, kb_relative_information_score: 0.2882, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7397, predictive_accuracy: 0.75, prior_entropy: 0.8813, recall: 0.75, relative_absolute_error: 0.6862, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.9331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7816, f_measure: 0.7333, kappa: 0.3393, kb_relative_information_score: 0.1818, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7401, predictive_accuracy: 0.755, prior_entropy: 0.8813, recall: 0.755, relative_absolute_error: 0.8196, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7666, f_measure: 0.7318, kappa: 0.3482, kb_relative_information_score: 0.2744, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7284, predictive_accuracy: 0.739, prior_entropy: 0.8813, recall: 0.739, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.9254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7827, f_measure: 0.7523, kappa: 0.3912, kb_relative_information_score: 0.3031, mean_absolute_error: 0.2833, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7527, predictive_accuracy: 0.765, prior_entropy: 0.8813, recall: 0.765, relative_absolute_error: 0.6743, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.9014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7696, f_measure: 0.7457, kappa: 0.38, kb_relative_information_score: 0.3049, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7431, predictive_accuracy: 0.754, prior_entropy: 0.8813, recall: 0.754, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.9247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.7521, kappa: 0.3946, kb_relative_information_score: 0.3028, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7501, predictive_accuracy: 0.761, prior_entropy: 0.8813, recall: 0.761, relative_absolute_error: 0.6694, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.7521, kappa: 0.3946, kb_relative_information_score: 0.3028, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7501, predictive_accuracy: 0.761, prior_entropy: 0.8813, recall: 0.761, relative_absolute_error: 0.6694, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.7521, kappa: 0.3946, kb_relative_information_score: 0.3028, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7501, predictive_accuracy: 0.761, prior_entropy: 0.8813, recall: 0.761, relative_absolute_error: 0.6694, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7691, f_measure: 0.7492, kappa: 0.3877, kb_relative_information_score: 0.3141, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7469, predictive_accuracy: 0.758, prior_entropy: 0.8813, recall: 0.758, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.9195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7506, kappa: 0.3943, kb_relative_information_score: 0.3615, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7479, predictive_accuracy: 0.757, prior_entropy: 0.8813, recall: 0.757, relative_absolute_error: 0.5989, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4676, root_relative_squared_error: 1.0204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7574, f_measure: 0.7488, kappa: 0.3888, kb_relative_information_score: 0.2903, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7461, predictive_accuracy: 0.756, prior_entropy: 0.8813, recall: 0.756, relative_absolute_error: 0.684, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.9298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, f_measure: 0.7375, kappa: 0.3645, kb_relative_information_score: 0.2934, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7345, predictive_accuracy: 0.743, prior_entropy: 0.8813, recall: 0.743, relative_absolute_error: 0.6735, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7649, f_measure: 0.7579, kappa: 0.407, kb_relative_information_score: 0.2842, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7569, predictive_accuracy: 0.768, prior_entropy: 0.8813, recall: 0.768, relative_absolute_error: 0.6973, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.9074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.7521, kappa: 0.3946, kb_relative_information_score: 0.3028, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7501, predictive_accuracy: 0.761, prior_entropy: 0.8813, recall: 0.761, relative_absolute_error: 0.6694, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.7516, kappa: 0.3916, kb_relative_information_score: 0.3055, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7502, predictive_accuracy: 0.762, prior_entropy: 0.8813, recall: 0.762, relative_absolute_error: 0.669, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7613, f_measure: 0.7412, kappa: 0.3687, kb_relative_information_score: 0.3445, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7385, predictive_accuracy: 0.75, prior_entropy: 0.8813, recall: 0.75, relative_absolute_error: 0.6171, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.7485, kappa: 0.3852, kb_relative_information_score: 0.2357, mean_absolute_error: 0.3173, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7464, predictive_accuracy: 0.758, prior_entropy: 0.8813, recall: 0.758, relative_absolute_error: 0.7553, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.7514, kappa: 0.3922, kb_relative_information_score: 0.3458, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7496, predictive_accuracy: 0.761, prior_entropy: 0.8813, recall: 0.761, relative_absolute_error: 0.616, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, f_measure: 0.7492, kappa: 0.3877, kb_relative_information_score: 0.3156, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7469, predictive_accuracy: 0.758, prior_entropy: 0.8813, recall: 0.758, relative_absolute_error: 0.6569, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6804, f_measure: 0.6999, kappa: 0.2737, kb_relative_information_score: 0.2448, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.696, predictive_accuracy: 0.706, prior_entropy: 0.8813, recall: 0.706, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.7411, kappa: 0.3774, kb_relative_information_score: 0.3038, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.739, predictive_accuracy: 0.744, prior_entropy: 0.8813, recall: 0.744, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7616, f_measure: 0.7394, kappa: 0.3656, kb_relative_information_score: 0.3003, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7363, predictive_accuracy: 0.747, prior_entropy: 0.8813, recall: 0.747, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.9402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7506, f_measure: 0.741, kappa: 0.3719, kb_relative_information_score: 0.3203, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.738, predictive_accuracy: 0.747, prior_entropy: 0.8813, recall: 0.747, relative_absolute_error: 0.6437, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7513, kappa: 0.3927, kb_relative_information_score: 0.3577, mean_absolute_error: 0.2528, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7491, predictive_accuracy: 0.76, prior_entropy: 0.8813, recall: 0.76, relative_absolute_error: 0.6018, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4661, root_relative_squared_error: 1.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.7475, kappa: 0.3838, kb_relative_information_score: 0.3191, mean_absolute_error: 0.2717, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.745, predictive_accuracy: 0.756, prior_entropy: 0.8813, recall: 0.756, relative_absolute_error: 0.6467, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.9407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, f_measure: 0.7425, kappa: 0.3762, kb_relative_information_score: 0.3193, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7396, predictive_accuracy: 0.748, prior_entropy: 0.8813, recall: 0.748, relative_absolute_error: 0.6422, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4591, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7837, f_measure: 0.7511, kappa: 0.388, kb_relative_information_score: 0.2358, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7515, predictive_accuracy: 0.764, prior_entropy: 0.8813, recall: 0.764, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.7545, kappa: 0.4064, kb_relative_information_score: 0.3701, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.752, predictive_accuracy: 0.759, prior_entropy: 0.8813, recall: 0.759, relative_absolute_error: 0.5905, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4712, root_relative_squared_error: 1.0282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7495, kappa: 0.3889, kb_relative_information_score: 0.3104, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7472, predictive_accuracy: 0.758, prior_entropy: 0.8813, recall: 0.758, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7363, f_measure: 0.718, kappa: 0.3222, kb_relative_information_score: 0.2423, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7157, predictive_accuracy: 0.721, prior_entropy: 0.8813, recall: 0.721, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.9961,

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