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Journal of Big Data

Table 8 Test accuracy and AUROC values obtained by the classical algorithms with the 10 classes for the images from Dataset7

From: Deep learning based deep-sea automatic image enhancement and animal species classification

Classifier

Test AUROC

Test accuracy

LSVM

0.7549

0.5458

SVM_SGD

0.7089

0.4719

K-NN1

0.7787

0.5802

K-NN2

0.7207

0.4727

DT1

0.7587

0.5610

DT2

0.7582

0.5592

RF1

0.7608

0.5637

RF2

0.8691

0.7568

  1. The bold values refer to the highest (and best) value
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