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What is Decision Trees in Machine Learning Guide about?

Decision trees are supervised machine learning algorithms used for classification and regression tasks, structured in a tree-like format to make predictions based on input features. They have advantages such as ease of interpretation and handling non-linear relationships, but can suffer from overfitting and high variance. Compared to logistic regression, decision trees can model non-linear relationships but are less stable and more prone to overfitting.

Author

vikrant.bhosle

Language

EN