EPJ Data Science

Table 2 Model validation results of two experimental settings

From: Quantifying the economic impact of disasters on businesses using human mobility data: a Bayesian causal inference approach

		Evaluation metric	Use of covariates
		Evaluation metric	No covariates	\(x_{category}\)	\(x_{specific}\)
Setting 1	Train	MAPE	12.35 (±16.67)	10.50 (±14.03)	10.66 (±14.46)
	Train	Pearson R	0.539 (±0.222)	0.696 (±0.169)	0.626 (±0.136)
	Test	MAPE	8.568 (±14.37)	8.518 (±15.85)	8.888 (±15.30)
	Test	Pearson R	0.351 (±0.238)	0.354 (±0.239)	0.295 (±0.257)
	Selected (%)		34.9	40.4	24.7
Setting 2	Train	MAPE	0.229 (±0.257)	0.249 (±0.251)	0.257 (±0.252)
	Train	Pearson R	0.855 (±0.144)	0.742 (±0.145)	0.744 (±0.115)
	Test	MAPE	0.704 (±0.811)	0.475 (±0.612)	0.477 (±0.538)
	Test	Pearson R	0.420 (±0.189)	0.512 (±0.181)	0.466 (±0.183)
	Selected (%)		40.3	25.1	34.6

Back to article page