Value Function
Machine Learning
A plot showing training and validation scores for different values of a model parameter.
Detailed Explanation
A validation curve is a graphical tool used in machine learning to evaluate how different values of a model’s hyperparameter affect its performance. It plots training and validation scores across parameter ranges, helping identify optimal settings, overfitting, or underfitting. This process aids in selecting the best model configuration for improved generalization on unseen data.
Use Cases
- •Tuning hyperparameters to prevent overfitting by analyzing training and validation scores across parameter ranges.
Related Terms
Other terms in the Machine Learning category