classification algorithms machine decision tree introduction to decision tree in generaldecision tree analysis is predictive modelling tool that can be applied across many areas decision trees can be constructed by an algorithmic approach that can split the dataset in different ways based on different conditions decisions tress are the most powerful algorithms that falls under the category of supervised algorithms they can be used for both classification and regression tasks the two main entities of tree are decision nodeswhere the data is split and leaveswhere we got outcome the example of binary tree for predicting whether person is fit or unfit providing various information like ageeating habits and exercise habitsis given belowperson age> noyeseats lots of fast foodyesunfit exercise regularlynofit yesfit nounfit in the above decision treethe question are decision nodes and final outcomes are leaves we have the following two types of decision treesclassification decision treesin this kind of decision treesthe decision variable is categorical the above decision tree is an example of classification decision tree regression decision treesin this kind of decision treesthe decision variable is continuous