An important problem in the field of bioinformatics is to identify interactive effects among profiled variables for outcome prediction. In this paper, a logistic regression model with pairwise ...

Objective We aimed to estimate prevalence and identify determinants of hypertension in adults aged 15–49 years in Tanzania.

In this study, a nonnegative constrained principal component regression chemical mass balance (NCPCRCMB) model was used to solve the near collinearity problem among source profiles for source ...

Performing multiple logistic regression analysis on airline and customer data to predict the ... Implementing binary / multiple logistic regression models, for the well known mnist dataset while also ...

To achieve a high logistical performance, adjustments in production structure are inevitable. The impact of structural changes however remains unclear. To investigate the effects of changes concerning ...

The model has been scorching hot when it comes to picking Formula 1 race events dating back to 2021. It nailed both of Charles Leclerc's wins in 2022, and at the 2021 Mexican Grand Prix, the model was ...