Prevent Overfitting in ML Models

EasyMachine Learning00:00

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Your question is Prevent Overfitting in ML Models. Take a moment with it on the right.

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Problem

You have a model that fits the training set too well and does not generalize. The goal is to explain the practical ways to reduce overfitting and choose the right level of model complexity.

What to look for

Large gap between training and validation metrics
High variance across cross-validation folds
Performance that drops when the model sees new data