A Novel Ensemble Stacking Learning Algorithm for Parkinson’s Disease Prediction

Table 3

Metrics of basic classifiers and stacked models.

Models	Training	Testing	Sensitivity (%)	Specificity (%)
	Accuracy (%)	Accuracy (%)
RF model	99.33	84.86	84.72	85.12
XGBoost model	100	88.81	89.34	88.75
Stackedmodel1	100	88.80	89.86	86.27
Stackedmodel2	99.50	89.47	89.73	88.21
Stackedmodel3	100	90.13	92.61	91.24
Stackedmodel4	99.83	89.47	90.12	87.40