..., then the random forest algorithm is applied to build an FA–RF-based road traffic accident severity prediction model to predict two- and three-category accidents. Findings By comprehensively comparing the classification results of the two- and the three-category accident prediction, it also finds that due...

... with tree regressors (bagging-decision tree [Bagging-DT]), AdaBoost with tree regressors (Adaboost-DT), random forest (RF) and gradient boosting decision tree (GBDT). Design/methodology/approach This study proposed a majority voting feature selection method by combining lasso regression with the Akaike...