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Learning Curves

Explore how learning curves plot training and validation errors against dataset size and training epochs. Understand their role in detecting overfitting and underfitting, and learn how to determine optimal training length and data quantity for better model performance.

Learning curves

In previous lessons, we trained our model on a training dataset and tested it on a testing dataset. In regression problems, we also introduced a validation dataset, also called a development dataset, which is used during model development. We have covered the intuition behind using the validation dataset. Now, let’s look at learning curve plots that illustrate model performance on training and validation datasets and help identify overfitting and other issues. We can then consider how long the model should be trained and what size of training dataset should be used. The model’s state can be ...