Fig. 4From: SMOTE-Boost-based sparse Bayesian model for flood predictionComparison of RMSE, DC, and FPE values achieved by the proposed model with different parameters. Detailed legend: We show the prediction results of the proposed model with different parameters, i.e., sampling number of samples in SMOTE method and training iterations in AdaBoost training strategy, in Fig. 4, where n refers to the number of sampling samplesBack to article page