About this document
Decision Trees and Naive Bayes by Mohamed Shaarawy is a document available to read on EtoBox.
Decision Trees are supervised machine learning algorithms used for classification and regression by splitting datasets into subsets based on feature values. The structure consists of nodes (tests on attributes), branches (outcomes), and leaves (class labels or continuous values). The document also briefly mentions Naive Bayes and considerations for categorical data.
- Author
- Mohamed Shaarawy
- Language
- EN