![]() Historical data on sales can be used in decision trees that may lead to making radical changes in the strategy of a business to help aid expansion and growth. One of the applications of decision trees involves evaluating prospective growth opportunities for businesses based on historical data. Assessing prospective growth opportunities For example, the income of an individual whose income is unknown can be predicted based on available information such as their occupation, age, and other continuous variables. Continuous variable decision treeĪ continuous variable decision tree is a decision tree with a continuous target variable. The categories mean that every stage of the decision process falls into one category, and there are no in-betweens. ![]() For example, the categories can be yes or no. Categorical variable decision treeĪ categorical variable decision tree includes categorical target variables that are divided into categories. There are two main types of decision trees that are based on the target variable, i.e., categorical variable decision trees and continuous variable decision trees. Decision trees can be divided into two types categorical variable and continuous variable decision trees. ![]()
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