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Model Complexity
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- Article · Machine Learning
Overfitting and Underfitting in Machine Learning
Overfitting and underfitting are critical concepts in machine learning. Overfitting occurs when a model learns the training data too well, capturing noise and failing to generalize. Underfitting happens when a model is too simplistic, unable to capture underlying patterns.
