New answers tagged models
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What you're describing are "Ensemble Models" -- where multiple models are trained in parallel, and then combined at inference time to squeeze out better performance.
This article gives a decent overview: https://towardsdatascience.com/ensemble-models-5a62d4f4cb0c
A single algorithm may not make the perfect prediction for a given dataset. Machine ...
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