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What is Decision Tree
Decision tree classifier is a supervised learning type of machine learning classificaton algorithm. The data continuosly separed according to various parameters in the decision tree algorithm. A decision tree algorithm work as flowchart-like structure in which each internal node represents a "test" on an attribute (for example : whether a coin flip come p heads or tails). each brach represent the outcome of the test and each leaf node represents a class label ( decision taken after computing all attributes). The paths from root to leaf represent classification rules
Type of Decision Tree.
Categorical variable decision tree
Continuous variable decision tree
Application of Decision Trees
Assess the growth opportunities
Support tool in different fields
Use demographic information to find potential clients
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