Machine learning based prediction of vertical ground motion duration using hyperparameter optimization

Key Points

• Vertical ground motion duration is effectively predicted using advanced machine learning techniques, and this allows for improved modeling.
• The best results were achieved using hyperparameter optimization across various predictive models, illustrating its importance.
• This observational analysis employed machine learning algorithms to refine predictions of ground motion parameters.
• These findings highlight the potential for enhanced predictive accuracy in seismic modeling through machine learning approaches.