Underfitting

Model is too simple to capture patterns.

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Underfitting occurs when a model lacks the capacity or proper features to capture underlying patterns.

• Symptoms: Poor performance on both training and test data.
• Solutions: More complex models, better features, longer training, hyperparameter tuning.