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Fig. 4 | EURASIP Journal on Wireless Communications and Networking

Fig. 4

From: SMOTE-Boost-based sparse Bayesian model for flood prediction

Fig. 4

Comparison 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 samples

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