This project applies linear and ensemble regression techniques to predict insurance charges using the Medical Cost dataset.

Multiple machine learning models, such as Logistic Regression, Random Forest ... Key predictors were identified through Mutual Information and Recursive Feature Elimination (RFE). Results: Maternal ...

The horizontal dimension reveals feature correlation across different Wi-Fi links, while the vertical dimension reveals feature correlation among different time slots. Based on the above principle, we ...

Adaptive Lasso is an extension of the standard Lasso method that provides improved feature selection properties through weighted L1 penalties. It assigns different weights to different coefficients in ...