An Efficient Rotation Forest-Based Ensemble Approach for Predicting Severity of Parkinson’s Disease

Table 1

Description of selected features.

Index	Feature name	Feature description
1	Jitter (%)	Metric of changes in the basic voice frequency
2	Jitter (Abs)	Metric of changes in the basic voice frequency
3	Jitter (RAP)	Metric of changes in the basic voice frequency
4	Jitter (PPQ5)	Metric of changes in the basic voice frequency
5	Jitter (DDP)	Metric of changes in the basic voice frequency
6	Shimmer	Metric for measure variety in amplitude
7	Shimmer (dB)	Metric for measure variety in amplitude
8	Shimmer: APQ3	Metric for measure variety in amplitude
9	Shimmer: APQ5	Metric for measure variety in amplitude
10	Shimmer: APQ11	Metric for measure variety in amplitude
11	Shimmer: DDA	Metric for measure variety in amplitude
12	NHR	A metric for measuring the ratio of noise to tonal components in the voice
13	HNR	A metric for measuring the ratio of noise to tonal components in the voice
14	RPDE	A nonlinear dynamical complexity measure
15	DFA	Signal fractal scaling exponent
16	PPE	A nonlinear metric for measuring changes in the basic frequency