Machine Learning, Data Science, Overfitting, Underfitting.
had initially trained a VERY complex model (for example, a 150-degree polynomial), such an increase in data would not have helped. So getting more data is a good way to improve the quality of the model, but it may not help if the model is very very complex. So, the conclusion is — getting more data