How does a learning curve give insight into whether the model is under- or over-fitting?
A model that is underfit will produce evaluation metrics that are poor on the training data alone, such as high RMSE or misclassification rate.
A model that is underfit will produce evaluation metrics that are poor on the training data alone, such as high RMSE or misclassification rate.