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Table 2 Evaluation of the classifiers KNN, SVM, RF, and NB of all individuals with PD

From: Discrimination between healthy and patients with Parkinson’s disease from hand resting activity using inertial measurement unit

Classifiers

Metrics

Training accuracy

Sensitivity

Specificity

Precision

Accuracy

10% of features

 KNN

0.833

0.667

0.800

0.769

0.810

 SVM

0.833

0.733

0.833

0.800

0.810

 RF

0.667

0.800

0.842

0.718

0.690

 NB

0.542

0.800

0.813

0.641

0.667

20% of features

 KNN

0.750

0.667

0.783

0.718

0.738

 SVM

0.875

0.600

0.778

0.769

0.738

 RF

0.458

0.933

0.917

0.641

0.690

 NB

0.500

0.867

0.857

0.641

0.667

  1. The highest values of the metrics are highlighted in bold