While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

Early prediction of in-hospital pneumonia mortality can effectively be done using a machine learning (ML) model based on clinical data.

The least absolute shrinkage and selection operator-logistic regression (Lasso-LR) model is optimal for predicting ...

New research shows machine-learning models predict suicide risk better than existing methods, emphasizing the critical role ...

Interestingly, the study also identified a counterintuitive negative association between heavy alcohol consumption and ...

As data volumes surge across every industry and machine learning tools become ... to identify the best-performing model for a given dataset. It supports a variety of tasks, including classification, ...

Microplastic pollution in agricultural soils is an emerging threat to food safety and ecosystem health, yet detecting these ...

In livestock, veterinary drug residues are detected through non-destructive methods like hyperspectral imaging. One case in ...