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Table 4 Prediction performance using five-fold cross-validation

From: Predicting diabetic retinopathy and identifying interpretable biomedical features using machine learning algorithms

Model

Five-fold cross-validation

AUC

Acc.

Sens.

Spec.

SVM

0.821

0.791

0.819

0.782

LR

0.756

0.763

0.761

0.742

ANN

0.738

0.731

0.692

0.727

DT

0.690

0.718

0.683

0.729

  1. AUC, Accuracy, sensitivity, and specificity of different machine learning algorithms using five-fold cross-validation are evaluated
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BMC Bioinformatics

ISSN: 1471-2105

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