Table 5.

Comparing the performance of different models in predicting satisfaction with pay equity

Structure satisfaction	Accuracy	Sensitivity	Specificity	AUC
Logistic
Train	0.767	0.716	0.816	0.841
Test	0.746	0.705	0.813	0.833
Random forest
Train	0.856	0.847	0.864	0.933
Test	0.764	0.729	0.785	0.829
SVM
Train	0.999	0.999	0.999	1.00
Test	0.718	0.765	0.642	0.761
Xgboost
Train	0.766	0.789	0.743	0.842
Test	0.761	0.768	0.751	0.836
SHL
Train	0.961	0.963	0.959	0.990
Test	0.687	0.709	0.651	0.731