arXiv stat.ML
· Papers
Selecting Hyperparameters for Tree-Boosting
arXiv:2602.05786v3 Announce Type: replace-cross Abstract: Tree-boosting is a widely used machine learning technique for tabular data. However, its out-of-sample accuracy is critically dependent on multiple hyperparameters. In this article, we empirically compare several popular methods for hyperparameter optimization f