Regime-Aware Model Selection for Internal Combustion Engine Performance Prediction Using Machine Learning
Artificial Neural Networks (ANNs) and tree-based ensembles such as Random Forest (RF) and Extreme Gradient Boosting (XGBoost) are the two dominant families used for tabular regression in engineering informatics. The empirical literature, however, reports contradictory verdicts, on some datasets ANNs dominate, while on...