Christine Cecylia Munthe

A Comparative Study of Machine Learning Regression Models for Predicting Remote Worker Productivity: Accuracy, Robustness, Efficiency, and Interpretability

Remote and hybrid work has become the norm, yet the tools organizations use to gauge employee productivity have not kept pace, leaving many to lean on indirect proxies of uneven accuracy. This study investigates whether present-day Machine Learning (ML) regression can reliably measure and forecast remote-worker product...