Applications of Decision Trees- A Review

Abstract

Decision trees are used at uncertain times to evaluate independent decisions. It contains decision points and decision alternatives. A decision tree is support apparatus with a tree-like construction that models plausible results, cost of resources, utilities, and potential outcomes using decision tree algorithms. This field of decision trees is aligned and more applicable for machine learning algorithms. This gives the outcomes of the decision path by the decision parameters considered and the problem is taken into account. Here, the multiple areas are discussed discuss marking the applications of the decision trees in the field ofproduction processes, mining, pharmaceutical processes, manufacturing processes, Biotechnology, and medical diagnosis.