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

Table 4

Comparisons of performance metrics of the predictive models.

Model		Training data			Testing data
		R^2	RMSE	MAE	R^2	RMSE	MAE
Single predictive model	NLRM	0.76	0.079	0.055	0.58	0.081	0.057
	MARS	0.70	0.068	0.051	0.46	0.122	0.081
	RF	0.91	0.042	0.031	0.54	0.085	0.060
	SVM	0.63	0.078	0.052	0.46	0.099	0.066
Hybrid predictive model	MARS–NLRM	0.78	0.053	0.034	0.71	0.061	0.039
	RF–NLRM	0.86	0.042	0.028	0.70	0.062	0.039
	SVM–NLRM	0.76	0.056	0.032	0.69	0.063	0.037