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. Author manuscript; available in PMC: 2011 Mar 9.
Published in final edited form as: IEEE Trans Biomed Eng. 2009 Apr;56(4):1015. doi: 10.1109/TBME.2008.2005954

Table 3.

List of SVM classification performance results.

Feature set (number of measures) Correct overall True positive True negative
HNR, RPDE, DFA, PPE (4) 91.4±4.4 91.1±4.9 92.3±7.0
All (10) 90.6±4.1 90.7±4.3 90.4±8.6
RPDE, DFA, PPE (3) 89.5±3.9 89.6±4.3 89.1±8.6
DFA, PPE (2) 88.2±3.8 88.2±4.2 88.0±8.1
PPE (1) 85.6±5.4 85.9±5.5 84.5±10.8
MDVP:Jitter(Abs) (1) 80.6±9.9 80.7±10.1 80.3±10.9
RPDE, DFA (2) 79.2±4.2 79.2±4.5 79.0±7.5
HNR (1) 77.4±2.8 77.6±3.1 76.9±4.1
MDVP:APQ (1) 76.7±4.1 76.8±4.3 76.2±6.5
D2 (1) 76.7±1.9 76.9±2.2 76.1±3.1
DFA (1) 75.9±2.8 76.1±3.1 75.4±4.6
RPDE (1) 75.7±1.4 75.9±1.7 75.2±3.0
Jitter:DDP (1) 75.6±2.4 75.7±2.3 75.2±3.6
NHR (1) 75.4±0.0 75.5±0.0 75.0±0.0
Shimmer:DDA (1) 75.4±0.0 75.5±0.0 75.0±0.0

Note: MDVP stands for (Kay Pentax) Multi-Dimensional Voice Program. See main text for detailed descriptions of the algorithms used to calculate these features.