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uploader_id : 86 - estimation_procedure : 4-fold Crossvalidation - target_feature : class
We investigate the performance of a wide range of regression algorithms on a wide range of datasets to better understand when they perform well and when they don't. This will yield a meta-dataset that…
3 datasets, 3 tasks, 0 flows, 0 runs
TuningTreesClassification
2 datasets, 2 tasks, 0 flows, 0 runs
TuningTreesClassification
2 datasets, 2 tasks, 0 flows, 0 runs
TuningTreesClassification
2 datasets, 2 tasks, 0 flows, 0 runs
TuningTreesClassification
2 datasets, 2 tasks, 0 flows, 0 runs
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.897, kappa: 0.8928, kb_relative_information_score: 0.9063, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.074, weighted_recall: 0.8969, number_of_instances: 100000, precision: 0.8975, predictive_accuracy: 0.8969, prior_entropy: 4.6998, relative_absolute_error: 0.1674, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0761, root_relative_squared_error: 0.3957, unweighted_recall: 0.8966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.904, kappa: 0.9002, kb_relative_information_score: 0.9139, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.074, weighted_recall: 0.9041, number_of_instances: 100000, precision: 0.9043, predictive_accuracy: 0.9041, prior_entropy: 4.6998, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0733, root_relative_squared_error: 0.3812, unweighted_recall: 0.9036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9058, kappa: 0.902, kb_relative_information_score: 0.9152, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.074, weighted_recall: 0.9058, number_of_instances: 100000, precision: 0.9062, predictive_accuracy: 0.9058, prior_entropy: 4.6998, relative_absolute_error: 0.1509, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0729, root_relative_squared_error: 0.379, unweighted_recall: 0.9054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9062, kappa: 0.9023, kb_relative_information_score: 0.916, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.074, weighted_recall: 0.9061, number_of_instances: 100000, precision: 0.9067, predictive_accuracy: 0.9061, prior_entropy: 4.6998, relative_absolute_error: 0.1512, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.3776, unweighted_recall: 0.9056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9044, kappa: 0.9006, kb_relative_information_score: 0.9146, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.074, weighted_recall: 0.9045, number_of_instances: 100000, precision: 0.9048, predictive_accuracy: 0.9045, prior_entropy: 4.6998, relative_absolute_error: 0.1521, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.3807, unweighted_recall: 0.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9094, kappa: 0.9058, kb_relative_information_score: 0.9197, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.9094, number_of_instances: 100000, precision: 0.9098, predictive_accuracy: 0.9094, prior_entropy: 4.6998, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0711, root_relative_squared_error: 0.3698, unweighted_recall: 0.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9068, kappa: 0.9031, kb_relative_information_score: 0.9168, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, weighted_recall: 0.9068, number_of_instances: 100000, precision: 0.9073, predictive_accuracy: 0.9068, prior_entropy: 4.6998, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0723, root_relative_squared_error: 0.3761, unweighted_recall: 0.9063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9023, kappa: 0.8981, kb_relative_information_score: 0.9131, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.074, weighted_recall: 0.9021, number_of_instances: 100000, precision: 0.903, predictive_accuracy: 0.9021, prior_entropy: 4.6998, relative_absolute_error: 0.1542, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.3834, unweighted_recall: 0.9018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.8986, kappa: 0.8943, kb_relative_information_score: 0.9083, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.074, weighted_recall: 0.8984, number_of_instances: 100000, precision: 0.8992, predictive_accuracy: 0.8984, prior_entropy: 4.6998, relative_absolute_error: 0.1632, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.3908, unweighted_recall: 0.8979,