Answer / Senjons Murmu

Overfitting occurs when a machine learning model learns the training data too well, including noise and outliers, resulting in poor generalization to unseen data. Underfitting occurs when a model is too simple to capture the underlying patterns in the data, resulting in high bias and poor fit to both training and test data.

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Name commonly used algorithms.

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