Machine learning approaches can serve as powerful tools in the machining optimization process. Criteria, such accuracy and stability, are important to consider when choosing among different models. For industrial application, it also is essential balance cost, applicabilities, ease of implementations. Here, we develop Gaussian process regression models for predicting main cutting force (R) its ...