Neonatal Disease Prediction Using Machine Learning Techniques

Table 5

SVM, RF, XGB, and stacking models performance metrics without FS.

Models	Precision (%)	Recall (%)	F1-score (%)	Accuracy
SVM	95.14	95.68	95.11	94.86
RF	95.8	95.70	95.70	95.78
XGB	96.01	96.13	95.79	95.91
Stacking	96.70	97.0	96.90	96.69

Bold values indicate the outperformance results of the proposed stacking classifier without feature selection compared to other models.