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

Journal of Big Data

Table 6 Test accuracy and AUROC values obtained by the classical algorithms with the 7 classes datasets

Classifier	Dataset1		Dataset5		Dataset6		Dataset7
Classifier	Test AUROC	Test accuracy	Test AUROC	Test accuracy	Test AUROC	Test accuracy	Test AUROC	Test accuracy
LSVM	0.6443	0.3390	0.7365	0.4976	0.7484	0.5141	0.7506	0.5171
SVM_SGD	0.6098	0.2868	0.6457	0.3911	0.6773	0.4534	0.7220	0.4850
K-NN1	0.6557	0.3579	0.7077	0.4083	0.6999	0.4050	0.7179	0.4282
K-NN2	0.6136	0.2999	0.6715	0.3462	0.6590	0.3446	0.6763	0.3558
DT1	0.6780	0.4135	0.7047	0.4634	0.6972	0.4570	0.7065	0.4744
DT2	0.6743	0.4112	0.6998	0.4559	0.6966	0.4571	0.7020	0.4648
RF1	0.6744	0.4067	0.7033	0.4571	0.7050	0.4665	0.7062	0.4721
RF2	0.7524	0.5214	0.8009	0.6147	0.7965	0.6034	0.8041	0.6110