If a model is too complex relative to the given training dataset, it tends to overfit the training data and may not generalize well to unseen data. To reduce the degree of overfitting, collecting more training examples can be beneficial. However, in many real-world scenarios, collecting more data is often very challenging. By plotting the model's training and validation accuracy as a function of..
