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

Table 1

Features of Parkinson’s disease voice dataset.

S. No.	Column numbers	Features
1	3–23	Baseline features
2	24–26	Intensity parameters
3	27–30	Formant frequencies
4	31–34	Bandwidth parameters
5	35–56	Vocal fold
6	57–140	MFCC
7	141–322	Wavelet features
8	323–754	TQWT features
9	755	Class labels