Skip to main content

Table 2 Metrics for model comparison

From: Comparative analysis of machine learning algorithms for multi-syndrome classification of neurodegenerative syndromes

 

RF

GB

SVM

DNN

Cohen’s kappa

0.325 ± 0.036

0.358 ± 0.036

0.383 ± 0.043

0.404 ± 0.03

Accuracy

0.429 ± 0.032

0.456 ± 0.032

0.472 ± 0.038

0.496 ± 0.025

  1. Data are reported as mean ± standard deviation
  2. Abbreviations: DNN Deep neural network, GB Gradient boosting, RF Random forest, SVM Support vector machine
Back to article page

Alzheimer's Research & Therapy

ISSN: 1758-9193