Abstract:The stability of the slope has a significant impact on the safety of open-pit coal mine, in order to quickly determine the stability status of slopes in open-pit coal mine slopes, an open-pit coal mine slope stability prediction model based on the whale algorithm (WOA) optimized support vector machine (SVM) is proposed. This method uses WOA to optimize the penalty coefficient and kernel function parameter of WOA model, which solves the problems that difficult selection of SVM model parameters.The WOA-optimized SVM model was used to predict the collected slope data and compared with the prediction results of RF, BP and SVM models.The results show that the WOA-optimized SVM model has higher prediction accuracy,which has a certain reference value to determine the stability state of open-pit coal mine slopes.