Nature

A novel two-stage feature selection method based on random forest and improved genetic algorithm for enhancing classification in machine learning

The data acquisition methods are becoming increasingly diverse and advanced, leading to higher data dimensions, blurred classification boundaries, and overfitting datasets, affecting machine learning ...
Nature

Factor of safety prediction for high road embankments using mixed effects random forest and bee colony optimization

This study presents a novel hybrid machine learning framework integrating Random Forest (RF), Mixed Effects Random Forest (MERF), and Artificial Bee Colony optimized Mixed Effects Random Forest ...