Benchmarking Energy Efficiency of Supervised Machine Learning Models on Multi-Domain Classification Datasets
It is demonstrated that accuracy alone can be misleading for model evaluation and that integrating energy, runtime, and memory metrics enables more sustainable and resource-aware machine learning model selection.