what is decision tree ?

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A decision tree is a flowchart-like structure in which each internal node represents a test on an attribute, each branch represents the outcome of the test, and each leaf node represents a class label.

Decision trees are a popular machine learning algorithm used for classification and regression tasks.
They are easy to interpret and visualize, making them useful for understanding the decision-making process.
Each internal node in a decision tree represents a decision based on a feature, leading to different branches based on the outcome of that decision.
Leaf nodes represent the final decision or prediction for a given set of features.
Example: A decision tree for predicting whether a customer will purchase a product based on their age, income, and browsing history.

what is decision tree ?

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