Decision Tree is one of the beautiful algorithms used for solving both classification and regression problems. It is a supervised machine learning algorithm, which means along with the independent features, output features/labels are required for building the decision tree-based model.

A decision tree is a powerful algorithm and used for solving complex datasets. It became popular due to its simplicity, as it is easily understandable and has a good tree-like visualization of the entire model. Decision Tree forms the base of most ensemble techniques like Random Forest, Adaboost, Xgboost.

Decision Tree

Unlike linear regression, where it tries to find the relationship between…

Manikandan Rajendran

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