OpenML
Supervised Classification on labor

Supervised Classification on labor

Task 4 Supervised Classification labor 6416 runs submitted
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  • basic mythbusting mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_73 under100k under1m
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6416 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8947, kappa: 0.7689, kb_relative_information_score: 43.1627, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8947, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8947, kappa: 0.7689, kb_relative_information_score: 43.1627, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8947, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8778, kappa: 0.7335, kb_relative_information_score: 40.9002, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8791, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.808, kappa: 0.5812, kb_relative_information_score: 31.8503, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8096, predictive_accuracy: 0.807, prior_entropy: 0.9393, recall: 0.807, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.9204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.8555, kappa: 0.6771, kb_relative_information_score: 38.6377, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8611, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8778, kappa: 0.7335, kb_relative_information_score: 40.9002, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8791, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.8058, kappa: 0.5714, kb_relative_information_score: 31.8503, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8052, predictive_accuracy: 0.807, prior_entropy: 0.9393, recall: 0.807, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.9204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.8411, kappa: 0.6494, kb_relative_information_score: 36.3752, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8407, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8778, kappa: 0.7335, kb_relative_information_score: 40.9002, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8791, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.8746, kappa: 0.7208, kb_relative_information_score: 40.9002, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8776, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.8764, kappa: 0.7273, kb_relative_information_score: 40.9002, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8763, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.8358, kappa: 0.6323, kb_relative_information_score: 36.3752, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.845, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8947, kappa: 0.7689, kb_relative_information_score: 43.1627, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8947, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.8578, kappa: 0.6846, kb_relative_information_score: 38.6377, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8583, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.9117, kappa: 0.8052, kb_relative_information_score: 45.4251, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9118, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.6206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.8746, kappa: 0.7208, kb_relative_information_score: 40.9002, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8776, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.7895, kappa: 0.5378, kb_relative_information_score: 29.5878, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7895, predictive_accuracy: 0.7895, prior_entropy: 0.9393, recall: 0.7895, relative_absolute_error: 0.4606, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.808, kappa: 0.5812, kb_relative_information_score: 31.8503, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8096, predictive_accuracy: 0.807, prior_entropy: 0.9393, recall: 0.807, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.9204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.9128, kappa: 0.8096, kb_relative_information_score: 45.4251, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9138, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.6206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.8746, kappa: 0.7208, kb_relative_information_score: 40.9002, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8776, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8789, kappa: 0.7394, kb_relative_information_score: 40.9002, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8855, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8947, kappa: 0.7689, kb_relative_information_score: 43.1627, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8947, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8947, kappa: 0.7689, kb_relative_information_score: 43.1627, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8947, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.8411, kappa: 0.6494, kb_relative_information_score: 36.3752, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8407, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.9305, kappa: 0.8494, kb_relative_information_score: 47.6876, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9336, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.8555, kappa: 0.6771, kb_relative_information_score: 38.6377, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8611, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8934, kappa: 0.7635, kb_relative_information_score: 43.1627, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8944, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.8764, kappa: 0.7273, kb_relative_information_score: 40.9002, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8763, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.9128, kappa: 0.8096, kb_relative_information_score: 45.4251, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9138, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.6206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8934, kappa: 0.7635, kb_relative_information_score: 43.1627, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8944, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8778, kappa: 0.7335, kb_relative_information_score: 40.9002, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8791, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.8916, kappa: 0.7578, kb_relative_information_score: 43.1627, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8989, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.8411, kappa: 0.6494, kb_relative_information_score: 36.3752, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8407, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, f_measure: 0.8626, kappa: 0.7118, kb_relative_information_score: 38.6377, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8846, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8947, kappa: 0.7689, kb_relative_information_score: 43.1627, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8947, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8934, kappa: 0.7635, kb_relative_information_score: 43.1627, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8944, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.8596, kappa: 0.6919, kb_relative_information_score: 38.6377, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8596, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.8764, kappa: 0.7273, kb_relative_information_score: 40.9002, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8763, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.8223, kappa: 0.6058, kb_relative_information_score: 34.1128, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8222, predictive_accuracy: 0.8246, prior_entropy: 0.9393, recall: 0.8246, relative_absolute_error: 0.3839, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.8776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, build_cpu_time: 0.0774, build_memory: 144191367.0175, f_measure: 0.9117, kappa: 0.8052, kb_relative_information_score: 39.1361, mean_absolute_error: 0.1539, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9118, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.3368, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.5127, scimark_benchmark: 944.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, build_cpu_time: 0.0543, build_memory: 67538505.6, f_measure: 0.7939, kappa: 0.5676, kb_relative_information_score: 23.1485, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8157, predictive_accuracy: 0.7895, prior_entropy: 0.9393, recall: 0.7895, relative_absolute_error: 0.6119, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.8035, scimark_benchmark: 1610.9299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.8578, kappa: 0.6846, kb_relative_information_score: 38.6377, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8583, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8789, kappa: 0.7394, kb_relative_information_score: 40.9002, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8855, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.8578, kappa: 0.6846, kb_relative_information_score: 38.6377, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8583, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.8555, kappa: 0.6771, kb_relative_information_score: 38.6377, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8611, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8934, kappa: 0.7635, kb_relative_information_score: 43.1627, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8944, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6798,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.8746, kappa: 0.7208, kb_relative_information_score: 40.9002, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8776, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8934, kappa: 0.7635, kb_relative_information_score: 43.1627, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8944, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6798,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, build_cpu_time: 0.0198, build_memory: 594608159.2982, f_measure: 0.8764, kappa: 0.7273, kb_relative_information_score: 29.7818, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8763, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.5113, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6809, scimark_benchmark: 920.2398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, build_cpu_time: 0.0133, build_memory: 1646157352.8421, f_measure: 0.8764, kappa: 0.7273, kb_relative_information_score: 29.7818, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8763, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.5113, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6809, scimark_benchmark: 945.0974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, build_cpu_time: 0.0083, build_memory: 96041464.7018, f_measure: 0.8596, kappa: 0.6919, kb_relative_information_score: 28.7044, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8596, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.5263, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.6899, scimark_benchmark: 943.9162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, build_cpu_time: 0.0117, build_memory: 36291898.9474, f_measure: 0.7832, kappa: 0.5156, kb_relative_information_score: 22.9496, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7856, predictive_accuracy: 0.7895, prior_entropy: 0.9393, recall: 0.7895, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.9005, scimark_benchmark: 806.9084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, build_cpu_time: 0.0039, build_memory: 33796774.1754, f_measure: 0.7832, kappa: 0.5156, kb_relative_information_score: 22.9496, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7856, predictive_accuracy: 0.7895, prior_entropy: 0.9393, recall: 0.7895, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.9005, scimark_benchmark: 944.6231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, build_cpu_time: 0.0135, build_memory: 36446887.8596, f_measure: 0.7832, kappa: 0.5156, kb_relative_information_score: 22.9496, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7856, predictive_accuracy: 0.7895, prior_entropy: 0.9393, recall: 0.7895, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.9005, scimark_benchmark: 930.0211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, build_cpu_time: 0.0094, build_memory: 36446873.5439, f_measure: 0.7832, kappa: 0.5156, kb_relative_information_score: 22.9496, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7856, predictive_accuracy: 0.7895, prior_entropy: 0.9393, recall: 0.7895, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.9005, scimark_benchmark: 946.7643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, build_cpu_time: 0.0024, build_memory: 33445812.0702, f_measure: 0.7832, kappa: 0.5156, kb_relative_information_score: 22.9496, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7856, predictive_accuracy: 0.7895, prior_entropy: 0.9393, recall: 0.7895, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.9005, scimark_benchmark: 928.0721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, build_cpu_time: 0.0041, build_memory: 33648945.8246, f_measure: 0.7832, kappa: 0.5156, kb_relative_information_score: 22.9496, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7856, predictive_accuracy: 0.7895, prior_entropy: 0.9393, recall: 0.7895, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.9005, scimark_benchmark: 945.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4716, build_cpu_time: 0.003, build_memory: 34606441.6842, f_measure: 0.511, kb_relative_information_score: -0.1249, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0004, scimark_benchmark: 934.7413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4716, build_cpu_time: 0.0004, build_memory: 27209355.5088, f_measure: 0.511, kb_relative_information_score: -0.1249, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0004, scimark_benchmark: 946.8956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4716, build_cpu_time: 0.0028, build_memory: 34482827.3684, f_measure: 0.511, kb_relative_information_score: -0.1249, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0004, scimark_benchmark: 939.0596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4716, build_cpu_time: 0.0003, build_memory: 27126358.0351, f_measure: 0.511, kb_relative_information_score: -0.1249, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0004, scimark_benchmark: 940.9072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4716, build_cpu_time: 0.0042, build_memory: 34621223.1579, f_measure: 0.511, kb_relative_information_score: -0.1249, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0004, scimark_benchmark: 892.8039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4716, build_cpu_time: 0.0004, build_memory: 27251237.4737, f_measure: 0.511, kb_relative_information_score: -0.1249, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0004, scimark_benchmark: 946.8811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.9289, kappa: 0.8423, kb_relative_information_score: 46.7588, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9306, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.5542, scimark_benchmark: 913.2957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.8764, kappa: 0.7273, kb_relative_information_score: 27.2714, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8763, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.5461, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.6996, scimark_benchmark: 595.1969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8452, kappa: 0.6722, kb_relative_information_score: 36.5373, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8612, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.352, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.6305, scimark_benchmark: 595.5665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.9117, kappa: 0.8052, kb_relative_information_score: 45.509, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9118, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.1899, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.6141, scimark_benchmark: 948.4003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.7832, kappa: 0.5156, kb_relative_information_score: 22.9496, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7856, predictive_accuracy: 0.7895, prior_entropy: 0.9393, recall: 0.7895, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.9005, scimark_benchmark: 1913.8221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4716, f_measure: 0.511, kb_relative_information_score: -0.1249, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0004, scimark_benchmark: 1913.8221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9117, kappa: 0.8052, kb_relative_information_score: 31.6487, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9118, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.4846, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.61, scimark_benchmark: 947.4823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.9117, kappa: 0.8052, kb_relative_information_score: 45.4249, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9118, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.6206, scimark_benchmark: 887.2738,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.947, kappa: 0.8831, kb_relative_information_score: 46.873, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9474, predictive_accuracy: 0.9474, prior_entropy: 0.9393, recall: 0.9474, relative_absolute_error: 0.1814, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.4153, scimark_benchmark: 943.6308,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.947, kappa: 0.8831, kb_relative_information_score: 46.9742, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9474, predictive_accuracy: 0.9474, prior_entropy: 0.9393, recall: 0.9474, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4017, scimark_benchmark: 920.8426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8934, kappa: 0.7635, kb_relative_information_score: 29.8403, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8944, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.5132, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.6741, scimark_benchmark: 939.5735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.9477, kappa: 0.8858, kb_relative_information_score: 49.9501, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9486, predictive_accuracy: 0.9474, prior_entropy: 0.9393, recall: 0.9474, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.4807, scimark_benchmark: 945.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.947, kappa: 0.8831, kb_relative_information_score: 42.9502, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9474, predictive_accuracy: 0.9474, prior_entropy: 0.9393, recall: 0.9474, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.4804, scimark_benchmark: 938.3968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.947, kappa: 0.8831, kb_relative_information_score: 48.1395, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9474, predictive_accuracy: 0.9474, prior_entropy: 0.9393, recall: 0.9474, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.501, scimark_benchmark: 931.0593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.8578, kappa: 0.6846, kb_relative_information_score: 35.7011, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8583, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3833, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.6147, scimark_benchmark: 936.9348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.8443, kappa: 0.6649, kb_relative_information_score: 35.2657, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8512, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.8178, scimark_benchmark: 906.8079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.7949, kappa: 0.5393, kb_relative_information_score: 28.9794, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8132, predictive_accuracy: 0.807, prior_entropy: 0.9393, recall: 0.807, relative_absolute_error: 0.5062, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.7204, scimark_benchmark: 897.3216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8958, kappa: 0.7741, kb_relative_information_score: 39.5481, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8991, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.3055, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3, root_relative_squared_error: 0.6285, scimark_benchmark: 942.9509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.8947, kappa: 0.7689, kb_relative_information_score: 42.002, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8947, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2521, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6905, scimark_benchmark: 943.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.9117, kappa: 0.8052, kb_relative_information_score: 45.0217, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9118, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.2013, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.6106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8958, kappa: 0.7741, kb_relative_information_score: 43.1626, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8991, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6798, scimark_benchmark: 932.0389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.8596, kappa: 0.6919, kb_relative_information_score: 37.9624, mean_absolute_error: 0.1473, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8596, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3222, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.766, scimark_benchmark: 937.5607,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9117, kappa: 0.8052, kb_relative_information_score: 45.3225, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9118, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.1967, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.585, scimark_benchmark: 935.5417,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.8746, kappa: 0.7208, kb_relative_information_score: 37.1721, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8776, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.368, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.5527, scimark_benchmark: 933.0567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9305, kappa: 0.8494, kb_relative_information_score: 44.9893, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9336, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.2068, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.5151, scimark_benchmark: 908.7453,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.8947, kappa: 0.7689, kb_relative_information_score: 41.5782, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8947, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2657, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6625, scimark_benchmark: 924.4934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8947, kappa: 0.7689, kb_relative_information_score: 43.1626, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8947, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6798, scimark_benchmark: 942.9194,

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