Showing 1 - 1 of 1
In this research, we propose the bootstrap procedure as a method for train/test splitting in machine learning algorithms for classification. We show that this resampling method can be a reliable alternative to cross validation and repeated random test/train splitting algorithms. The bootstrap...
Persistent link: https://www.econbiz.de/10012288754