From: Telemonitoring Parkinson’s disease using machine learning by combining tremor and voice analysis
ML | Feat. | Male | Female | Both | ||||||
---|---|---|---|---|---|---|---|---|---|---|
Algo. | No. | Accu. | Spec. | Sens. | Accu. | Spec. | Sens. | Accu. | Spec. | Sens. |
kNN | 22 | 98.3 | 89.0 | 100 | 95.9 | 93.0 | 98.0 | 93.7 | 93.7 | 94.6 |
10 | 93.0 | 83.0 | 96.0 | 94.6 | 97.6 | 99.6 | 92.1 | 87.5 | 93.6 | |
5 | 93.9 | 89.0 | 96.0 | 94.6 | 93.0 | 95.0 | 93.1 | 86.4 | 94.6 | |
SVM | 22 | 92.3 | 88.0 | 96.4 | 95.9 | 93.3 | 97.7 | 89.9 | 85.0 | 93.0 |
10 | 93.9 | 88.0 | 97.0 | 94.6 | 93.3 | 95.5 | 90.5 | 89.5 | 93.6 | |
5 | 84.3 | 82.0 | 90.0 | 94.6 | 92.0 | 96.0 | 90.5 | 89.0 | 94.0 | |
Naive Bayes | 22 | 87.2 | 84.0 | 92.0 | 77.0 | 73.3 | 77.3 | 74.6 | 72.5 | 75.0 |
10 | 90.4 | 87.0 | 94.0 | 86.5 | 83.3 | 90.0 | 80.1 | 77.0 | 87.0 | |
5 | 94.8 | 88.0 | 96.5 | 87.8 | 85.0 | 92.0 | 81.0 | 80.5 | 89.5 |