Hybridization of Machine Learning Algorithms and an Empirical Regression Model for Predicting Debris-Flow-Endangered Areas

<div>Predicted runout distance values for NLRM, MARS, RF, SVM, MARS–NLRM, RF–NLRM, and SVM–NLRM using testing data versus measured values (<i>k</i> = 1).</div>

Advances in Civil Engineering

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Figure 7

Figure 7: Hybridization of Machine Learning Algorithms and an Empirical Regression Model for Predicting Debris-Flow-Endangered Areas 