Use of machine learning techniques to model wind damage to forests

•Machine learning techniques were accurate in predicting wind damage to trees.•Random forests proved the most accurate and discriminating methodology.•Models were sensitive to removal of site and stand but not tree characteristics.•All models were able to accurately replicate a mechanistic wind risk model.•Machine learning techniques could help the management of wind damage to forests.