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What is Underfitting in Machine Learning?
Underfitting happens when a model is too simple to capture the structure of the training data, performing poorly on both train and unseen data.
Related Giskard articles
Diagnose bias with richer evals
If metrics are uniformly poor, check capacity and features; validate with Giskard slices. See Giskard OSS v3.
Further reading
Authoritative reference: Wikipedia: Underfitting.
