Thomas Nagler, Lennart Schneider, Bernd Bischl, Matthias Feurer
TL;DR超参数优化中,通过重新划分训练和验证数据集可以提高模型的泛化性能并降低计算成本。
Abstract
hyperparameter optimization is crucial for obtaining peak performance of
machine learning models. The standard protocol evaluates various hyperparameter
configurations using a resampling estimate of the generaliz