What is the main difference between overfitting and underfitting?
Overfitting – In overfitting, a statistical model describes any random error or noise, and occurs when a model is super complicated. An overfit model has poor predictive performance as it overreacts to minor fluctuations in training data. Underfitting – In underfitting, a statistical model is unable to capture the underlying data trend. This type of … Read more