Prediction of Gestational Diabetes Mellitus under Cascade and Ensemble Learning Algorithm

Table 5

Comparison of parameters of models.

Model	Accuracy	Precision	Recall	F1	Time
Cascade model proposed	0.803	0.746	0.821	0.793	2.53
Model proposed by Yu et al. [25]	—	—	—	0.726	—
Catboost single model	0.783	0.726	0.781	0.721	0.932