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Underfitting

Underfitting occurs when a machine learning model is too simple to capture the underlying patterns in the training data, resulting in poor performance on both training and new data.

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Glossary Terms(2)

Overfitting
Overfitting occurs when a machine learning model learns the training data too closely, including its noise and idiosyncrasies, resulting in poor performance on…
Underfitting
Underfitting occurs when a machine learning model is too simple to capture the underlying patterns in the training data, resulting in poor performance on both…

Study Notes(1)

Overfitting and Underfitting
The two failure modes of model fitting — memorizing noise in training data versus failing to capture real patterns — and the diagnostic and mitigation techniqu…

Overfitting AIFundamentals Supervised Learning Gradient Descent

Glossary Terms(2)

Study Notes(1)

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