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Table 7

Statistical results of AI models' performance for various ranges of bed slope

AI modelsS = 0.002–0.008S = 0.10–0.17S = 0.20–0.25S = 0.30–0.50
SVM-RBF RMSE = 2.90 RMSE = 0.84 RMSE = 0.46 RMSE = 0.42 
SI = 0.23 SI = 0.45 SI = 0.33 SI = 0.43 
MARS RMSE = 2.90 RMSE = 0.53 RMSE = 0.44 RMSE = 0.39 
SI = 0.24 SI = 0.28 SI = 0.32 SI = 0.40 
RF RMSE = 6.70 RMSE = 0.33 RMSE = 0.27 RMSE = 0.38 
SI = 0.52 SI = 0.17 SI = 0.20 SI = 0.33 
AI modelsS = 0.002–0.008S = 0.10–0.17S = 0.20–0.25S = 0.30–0.50
SVM-RBF RMSE = 2.90 RMSE = 0.84 RMSE = 0.46 RMSE = 0.42 
SI = 0.23 SI = 0.45 SI = 0.33 SI = 0.43 
MARS RMSE = 2.90 RMSE = 0.53 RMSE = 0.44 RMSE = 0.39 
SI = 0.24 SI = 0.28 SI = 0.32 SI = 0.40 
RF RMSE = 6.70 RMSE = 0.33 RMSE = 0.27 RMSE = 0.38 
SI = 0.52 SI = 0.17 SI = 0.20 SI = 0.33 
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