Task
Supervised Classification on credit-g

Supervised Classification on credit-g

Task 31 Supervised Classification credit-g 418079 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 python study_1 study_107 study_123 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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418079 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6362, f_measure: 0.6848, kappa: 0.2634, kb_relative_information_score: 0.1829, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6914, predictive_accuracy: 0.68, prior_entropy: 0.8813, recall: 0.68, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.2344,
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: 0.6924, 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: 0.6364, f_measure: 0.6814, kappa: 0.2607, kb_relative_information_score: 0.1701, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6909, predictive_accuracy: 0.675, prior_entropy: 0.8813, recall: 0.675, relative_absolute_error: 0.7735, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5701, root_relative_squared_error: 1.244,
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: 0.6788, 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: 0.6924, 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: 0.6883, f_measure: 0.7604, kappa: 0.4107, kb_relative_information_score: 0.4203, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7618, 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: 0.6931, f_measure: 0.7646, kappa: 0.4211, kb_relative_information_score: 0.4306, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7664, 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: 0.6924, 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: 0.6926, 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: 0.6936, f_measure: 0.7636, kappa: 0.4195, 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: 0.6862, 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: 0.6795, 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: 0.69, 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: 0.6919, 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: 0.6895, 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: 0.695, f_measure: 0.7653, kappa: 0.4235, kb_relative_information_score: 0.4306, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7664, 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: 0.6788, 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: 0.6788, 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: 0.6869, f_measure: 0.7587, kappa: 0.4067, kb_relative_information_score: 0.4152, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7595, 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: 0.6926, 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,
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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,

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