Table 6.

Prediction performance under different combinations of driving forces.

${\text{R}}_{\text{oos}}^2$	Multiple Linear Regression (1)	LASSO (2)	GBR (3)	RFR (4)	LightgGBM (5)	XGBoost (6)
Benchmark	0.0095	0.0008	0.0583	0.0578	0.6457	0.6229
Benchmark + Technical	0.2062	0.1857	0.3339	0.3760	0.7073	0.6883
Benchmark + Organizational	0.1030	0.0479	0.2748	0.3396	0.7111	0.6946
Benchmark + Environmental	0.1160	0.0857	0.1886	0.2009	0.6583	0.6275
Benchmark + Technical + Organizational	0.2363	0.1956	0.4071	0.4677	0.7317	0.7093
Benchmark + Technical + Environmental	0.2532	0.2173	0.3498	0.3994	0.7067	0.6977
Benchmark + Organizational + Environmental	0.1666	0.1079	0.3344	0.4011	0.7192	0.7014
Benchmark + Technical + Organizational + Environmental	0.2719	0.2264	0.4291	0.4871	0.7351	0.7265