Post by Author : Shubhangi_Hora

The Decision Tree algorithm is a type of tree-based modeling under Supervised Machine Learning. Decision Trees are primarily used to solve classification problems (the algorithm, in this case, is called the Classification Tree), but they can also be used to solve regression problems (the algorithm, in this case, is called the Regression Tree). The concept of trees is found in

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Performance metrics are numbers that help measure the efficiency of your machine-learning algorithm and determine whether it’s solving the problem correctly. They also help compare and evaluate different algorithms for the same use case and determine which one you should go ahead with. The decision of which performance metric to use for your machine learning problem first depends on the

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