Cheuk Ting Ho
Open Source contribution
Stacking is an ensemble learning technique that combines multiple classification or regression models via a meta-classifier or a meta-regressor.
The base level models are trained based on a complete training set, then the meta-model is trained on the outputs of the base level model as features.
It really works!
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