Tag: CART

This one article discusses two Machine Learning methods. They are Decision Tree (also known as Classification and Regression Tree) and later Random Forest. Decision tree, as its name suggests, takes the form of tree to decide which classification new observations are in. Mostly, we actually have used this decision tree method in daily life to decide things. If A happens, then do B. Or else, do C. This Decision Tree in Machine Learning will build a Decision Tree according to the data user feeds to the model. If you are not familiar with Machine Learning basic, please find an article discussing it here. After that, come back here to this article again.

How Decision Tree works in simple way is expressed using the following data. This plot shows purchased goods plotted for their price in x axis and quality in y axis. The purchased goods are then divided into “sold out” and “not sold out”. This article will try to build a Decision Tree to detect whether a thing will be sold out or not according to its price and quality.