Table 6. Feature importance metrics... | Emerald Publishing

Table 6.

Feature importance metrics

	Neural network regression	Support vector machine regression	Decision tree regression
Variables of study	Mean dropout loss	Mean dropout loss	Relative importance	Mean dropout loss
Behavior level	0.807	2.667
Reaction level	0.544	0.988
Supplier monitoring rigor	0.495	0.874	27.825	1.126
Ethical climate	0.489	0.74	26.013	0.348
Instrumental climate	0.456	0.635
Sustainability training effectiveness	0.433	0.56	28.318	0.606
Rules climate	0.405	0.513
Caring climate	0.364	0.441
Learning level	0.353	0.406
Independence climate	0.342	0.398
Law and code climate	0.322	0.388
Skepticism toward green claims	0.309	0.387	17.624	0.334
Green shared vision	0.26	0.386	0.219	0.239

	Neural network regression	Support vector machine regression	Decision tree regression
Variables of study	Mean dropout loss	Mean dropout loss	Relative importance	Mean dropout loss
Behavior level	0.807	2.667
Reaction level	0.544	0.988
Supplier monitoring rigor	0.495	0.874	27.825	1.126
Ethical climate	0.489	0.74	26.013	0.348
Instrumental climate	0.456	0.635
Sustainability training effectiveness	0.433	0.56	28.318	0.606
Rules climate	0.405	0.513
Caring climate	0.364	0.441
Learning level	0.353	0.406
Independence climate	0.342	0.398
Law and code climate	0.322	0.388
Skepticism toward green claims	0.309	0.387	17.624	0.334
Green shared vision	0.26	0.386	0.219	0.239

Source(s): Authors’ own creation