Machine Learning, Model Selection, Hyperparameter Tuning, Learning Curve, Cross Validation.
time indicates that the model has overfit the data, i.e., has adapted too well to the specific training set samples. As the training set increases, overfitting decreases, and the validation score increases. Especially for data-hungry machine learning models, the learning curve might not yet have