== Neural Market Trends ==

Stacking Models For Improved Predictions

Data Science Machine Learning Python R Zettelkasten

Stacking models is a great technique for squeezing out more performance.

First, let me describe what I mean by stacking. The idea is to divide the training set into several pieces like you would do in k-folds cross validation. For each fold, the rest of the folds are used to obtain a predictions using all the models 1…M.

Via Burak Himmetoglu’s Blog

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