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Learning Curves

Understand how to use learning curves to assess model performance on training and validation datasets. Learn to identify overfitting and underfitting by analyzing error trends and determine optimal training duration and dataset size for better generalization.

Learning Curves

In the previous lessons, we trained our model on the training dataset and tested the trained model on the testing dataset. In the lessons on Regression Problems, we introduced another dataset named validation dataset. This validation dataset is also called a development dataset, as it is used during the development of a model. We have covered the intuition behind using the validation dataset. Let’s look at some Learning Curve plots that illustrate the model’s performance on the training and validation datasets and help avoid overfitting and other problems. Consider: how long should the model be trained? What is the size of the training ...