Validation Curve

A validation curve is a graphical representation used in machine learning to evaluate the performance of a model as a function of a hyperparameter. It plots the training and validation scores against varying values of the hyperparameter, helping to visualize how changes in the parameter affect model performance. The curve can indicate whether a model is overfitting or underfitting by showing the divergence between training and validation scores. Common use cases include tuning hyperparameters in algorithms like decision trees, support vector machines, and neural networks to achieve optimal performance.