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Table 1 The results of the classifiers for single-label, multi-class dataset

From: Deep learning architectures for multi-label classification of intelligent health risk prediction

Algorithm Accuracy (%) Precision Recall F-Score
 LibSVM 49.89 0.422 0.499 0.416
 MLP 74.94 0.744 0.749 0.744
 SMO 69.67 0.691 0.697 0.670
 J48 77.26 0.771 0.773 0.771
 DNN 71.10 0.757 0.711 0.726
 RF 81.51 0.810 0.815 0.808