Table 26 Performance of the prediction of TD/PIGD label on the aggregated 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

0.713

0.279

0.939

0.706

0.714

1.792

Random Forests

0.689

0.430

0.824

0.561

0.735

1.264

AdaBoost

0.713

0.477

0.836

0.603

0.754

1.538

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