Table 25 Performance of prediction for TD/PIGD class label on Tel-Aviv dataset.

From: Model-based and Model-free Machine Learning Techniques for Diagnostic Prediction and Classification of Clinical Outcomes in Parkinson’s Disease

Method

acc

sens

spec

ppv

npv

lor

Logistic Regression

0.738

0.707

0.758

0.659

0.797

2.024

Random Forests

0.738

0.610

0.823

0.694

0.761

1.980

AdaBoost

0.728

0.634

0.790

0.667

0.766

1.877

Back to article page