The following six machine learning models were developed to predict ADH upgrade from core needle biopsy: gradient-boosting trees, random forest, radial support vector machine (SVM), weighted K-nearest ...

Implementation of logistic regression, elastic net regression, decision trees, random forests, gradient boosting machine, and neutral networks applied the glm, 31 glmnet, 32 rpart, 33 randomForest ...

The researchers used elastic net regression models to estimate the maximal life span based on CpG methylation data and taxonomic order indications.

The elastic net regression model identified 50 genes with robust associations with the MIND diet score, 27 and 23 of which were negatively and positively weighted in the transcriptomic profile ...

Also in the “Model Development” subsection on p. 3 of the main paper, the sentence reading “The resulting genes were fed into an elastic net regression model for training in the training cohort, among ...

Penalised lasso and elastic net regression both seemed to perform particularly well, specifically when statistical inference based on a balanced weighting of high sensitivity and a low proportion of ...