Machine Learning
Overfitting
Machine Learning· Intermediate
Definition
When a model learns training data too precisely — including noise and outliers — and fails to generalize to new data. An overfit model performs well on training data but poorly in production. Prevented through regularization, dropout, and validation techniques.
Tags
#generalization#regularization#bias-variance
MS
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