Mini toolsDefinition
A plot showing how training and validation scores change with increasing training data size.
Detailed Explanation
Learning curves show model performance on training and validation sets as the training dataset size increases. They help identify whether adding more training data would help improve model performance, and can reveal issues with variance or bias. The gap between training and validation scores indicates overfitting.
Use Cases
Used in determining required training data size, diagnosing bias-variance problems, and optimizing model training strategies.
