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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
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Alzheimer's Research & Therapy

ISSN: 1758-9193