This project aims to evaluate the strength of features in the diabetes dataset. Multiple feature selection techniques are used, including Pearson correlation coefficient, mutual information, random forest feature importance, and recursive feature elimination.
omartgabr / diabetes-feature-selection-analysis Goto Github PK
View Code? Open in Web Editor NEWThis project aims to evaluate the strength of features in the diabetes dataset. Multiple feature selection techniques are used, including Pearson correlation coefficient, mutual information, random forest feature importance, and recursive feature elimination.
License: MIT License