Ensembling

Ensembling is like asking multiple doctors for a diagnosis before making a decision. Instead of relying on a single model, you combine the predictions of several models to get a more robust and accurate result. This can involve averaging predictions, weighting them based on performance, or using a meta-learner to combine them intelligently.