In this work, we propose a novel method based on Regularized Logistic Regression (RLR) using as features the coefficients obtained from a Canonical Correlation Analysis (CCA), as method for detection ...

Regression is one of the most powerful statistical tools for finding relationships in data. Python makes it easy, and it's much more flexible than a spreadsheet.

Taking “depressive symptoms” as the dependent variable and including 6 independent variables significantly related to depressive symptoms, binary logistic regression was used to analyze the ...

In this context, the use of machine learning methods, such as logistic regression and other classification algorithms, might potentially be advantageous. This research aims to identify some noteworthy ...