Understanding Overfitting and Underfitting In Layman Terms
Mar 15, 2021
Friends, we must have heard these terms i.e Underfitting and Overfitting in building classification ML models. In this blog, I will try to explain in simpler terms. Before understanding these terms we need to know about Bias and Variance. Let’s define it in one simple sentence as below:
Bias:
It is the error of training data.
Variance :
It is the error of testing data.
