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Table 7 The results of different classifiers

From: Automated fundus ultrasound image classification based on siamese convolutional neural networks with multi-attention

Classifiers

Accuracy

Precision

Recall

F1

KNN

0.940

0.941

0.940

0.939

SVM

0.456

0.264

0.456

0.310

RandomForest

0.894

0.898

0.884

0.894

GBDT

0.812

0.818

0.812

0.814

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BMC Medical Imaging

ISSN: 1471-2342

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