In my previous blog, we were successfully able to make the decision tree as per the given data. The story doesn’t end here. We cannot just fit the data as it comes. This leads to Overfitting in the Decision tree.
Overfitting – what and why?
If a decision tree is fully grown, it may lose some generalization capability. This is a phenomenon known as overfitting.
View original post 655 more words