Overfitting with a Decision Tree
Below is a plot of Training versus Testing errors using a Precision metric (actually 1.0-precision, so lower is better) that shows how easy it is to over-fit a decision tree to the detriment of generalisation. It is important to check that a classifier isn’t overfitting to the training data such that it is just learning […]
