. This change in investment decision uses decision tree analysis, where real options are developed as decision nodes, and …

This study evaluates the predictive performance of four models-Decision Tree, Random Forest, Prophet, and LSTM …. While both Decision Tree and Random Forest models yielded lower absolute errors compared to LSTM and Prophet, the Decision …, 52.1% on USEC, 43.5% on MED, and 22.7% on NEUR. These findings highlight the robustness of the Decision Tree model for …

the Firefly Algorithm with decision tree regression, helping businesses mitigate the negative impacts of delivery … uncertainties.The study employs a hybrid machine learning approach using decision tree regression enhanced by the Firefly Algorithm … reduced overfitting.This research introduces a novel integration of the Firefly Algorithm with decision tree regression for …

(RK). The analysis applies machine learning techniques: decision tree regression is used to visualize variable …