Meta-classifier in Stacking

Let’s say you work at Google. You are developing a spam classifier to classify emails into spam vs. non-spam categories based on their content.

You try several different classifiers like SVM, Random Forests, etc., but none of them produce satisfactory results. So, you decide to combine them together by using stacking.

What classifier should you use as the meta-classifier in your stacking model and why?