Neonatal Disease Prediction Using Machine Learning Techniques

Table 6

SVM, RF, XGB, and stacking models performance results with FS.

Models	Precision (%)	Recall (%)	F1-score (%)	Accuracy
SVM	95.43	95.63	95.11	95.3
RF	96.66	96.98	96.67	96.43
XGB	97.02	97.16	97.11	96.65
Stacking	97.21	97.38	97.30	97.04

Bold values indicate the outperformance results of the proposed stacking classifier with feature selection compared to other models.