This work addresses the need for precise prediction models that predict the severity of injuries sustained in traffic crashes as a regression task. To this end, we thoroughly analyzed traffic crashes
It is well-known that in the presence of multicollinearity, the ridge estimator is an alternative to the ordinary least square (OLS) estimator. Generalized ridge estimator (GRE) is an generalization o
The dataset belongs to "Adaptive Forecasting Techniques for Load Variability in SEIG-ELC Off-Grid Systems using Machine Learning and Grid Search Optimization"
This data was used to optimize carbon stock estimation in the Greater Khingan Mountains state-owned forest area by selecting the optimal feature set and automating model tuning with RFECV, Bayesian Op