CART Algorithm for Decision Tree

Classification and Regression Tree (CART) is one of commonly used Decision Tree algorithms. In this post, we will explained the steps of CART algorithm using an example data. Decision Tree is a recursive partitioning approach and CART split each of the input node into two child nodes, so CART decision tree is Binary Decision Tree. ... Read moreCART Algorithm for Decision Tree

Decision Tree: A statistical and analytical tool for effective decisions

A decision tree is a hierarchical or tree like representation of decisions. Decision Tree is a technique to iteratively break input data (or node) into two or more data samples (or nodes).  And this recursive partitioning of input data (or node) continue until it meets specified condition(s). Decision Tree is a method for objective segmentation. ... Read moreDecision Tree: A statistical and analytical tool for effective decisions

Predict and Analyze results of CART Decision Tree

Initial steps to build a Decision Tree is explained and illustrated in our previous blog- Decision Tree using rpart in R. The steps covered in previous blogs Load Libraries - rpart and rpart.plot Read input data and split into development and validation samples Build Decision Tree Plot Decision Tree Also a few blogs are written on What is Decision ... Read morePredict and Analyze results of CART Decision Tree

Decision Tree using rpart in R

Decision Tree is one of the commonly used exploratory data analysis and objective segmentation techniques. Great advantage with Decision Tree is that the its output is relatively easy to understand or intrepret. Introduction to Decision Tree and intrepet Decision Tree results Simple way to understand decision tree is that it is hierarchical approach to partition ... Read moreDecision Tree using rpart in R