Abstract: This study introduces a novel method to predict energy efficiency in data center cooling systems, combining feature selection with a deep learning model. The approach uses a three-step ...

Abstract: Uplift modeling is a machine learning technique for estimating treatment effects in causal inference problems, where feature selection is crucial for reducing overfitting and computational ...