Stacking
Definition
Stacking involves training base models on the same dataset and then using their predictions as inputs for a higher-level model, which learns to make a final prediction, often leading to improved accuracy over individual models.
When Stacking is used
Model ensembles
Which positions need this?
Machine Learning Engineers
Problem
Single models underperform due to limitations in complexity or diversity.
Example of how Stacking is used in AI
A machine learning competition team uses stacking to combine predictions from several algorithms to achieve top rankings in predictive accuracy.
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