Validation Curve

Validation curves help visualize the impact of a model parameter on both training and validation performance. They're useful for detecting overfitting and underfitting, and for selecting optimal parameter values. The curve shows how model performance changes as a specific parameter varies.

Important in hyperparameter tuning, model selection, and preventing overfitting across various machine learning applications.