We study a sparse negative binomial regression (NBR) for count data by showing the non-asymptotic advantages of using the elastic-net estimator. Two types of oracle inequalities are derived for the ...

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.

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 ...