Abstract In this study, a novel auto-tuned hybrid deep learning approach composed of three base models, namely, long short-term memory, gated recurrent unit, and support vector regression, is developed to predict the fracture evolution process. The novelty framework lies in auto-determined hyperparameter configurations for each model based on Bayesian optimization technique, which guarantees fa...