Technical
Overfitting
Definition
When a machine learning model learns the training data too well, including noise and outliers, causing poor performance on new data.In-Depth Explanation
Overfitting occurs when a model is too complex relative to the amount of training data. It memorizes specific examples rather than learning general patterns. Signs include very high training accuracy but low test accuracy. Prevention techniques include regularization, dropout, early stopping, cross-validation, and collecting more training data.
Real-World Example
A model that achieves 99% accuracy on training data but only 60% on test data has overfit to the training examples.
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