February 2019
Beginner to intermediate
382 pages
10h 1m
English
Stacking takes the output values of machine learning estimators and then uses those as input values for another algorithm. You can, of course, feed the output of the higher-level algorithm to another predictor. It's possible to use any arbitrary topology but, for practical reasons, you should try a simple setup first as also dictated by Occam's razor.