Decision tree is a very common classification method. It is a decision analysis method based on the known probability of various situations, which is used to calculate the probability of net present value greater than or equal to zero by forming a decision tree, to evaluate the risk of one project and to judge its feasibility. Because the decision branches are graphically similar to the branches of a tree, it is called ‘decision tree’. Each internal node of the decision tree represents a test on one property, each branch represents a test output, and each leaf node represents a category. In machine learning, the decision tree is a predictive model that represents a mapping relationship between the object’s attribute and object’s value. Each internal node in the tree represents an object, and each bifurcation path represents a possible attribute value, and each leaf node represents the value of the object from the root node to the leaf node. Decision Trees https://www.cd-biosciences.com/decision-trees/