Skip to main content

Table 4 Evaluation metrics (mean ± standard deviation) obtained with the proposed procedure by using the mPower-based database

From: A mobile-assisted voice condition analysis system for Parkinson’s disease: assessment of usability conditions

 

Accuracy

Sensitivity

Specificity

AUC

Gradient Boosting

0.7138 ± 0.1051

0.7419 ± 0.1712

0.6868 ± 0.1665

0.7560 ± 0.1147

Logistic Regression

0.6523 ± 0.1101

0.6530 ± 0.1961

0.6525 ± 0.1910

0.7330 ± 0.1258

Passive Aggressive

0.6167 ± 0.1167

0.6096 ± 0.2168

0.6247 ± 0.2141

0.6935 ± 0.1349

Perceptron

0.6245 ± 0.1179

0.6334 ± 0.2211

0.6164 ± 0.2150

0.6923 ± 0.1411

Random Forest

0.6957 ± 0.1048

0.7123 ± 0.1659

0.6823 ± 0.1664

0.7475 ± 0.1110

SVM

0.6562 ± 0.1122

0.6476 ± 0.2047

0.6657 ± 0.1879

0.7437 ± 0.1240