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Table 3 DNN results for multi-label data with respect to different number of units

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

Units Per Layer Accuracy (%) Precision Recall F-Score
 35 92.07 0.915 0.867 0.823
 256 91.34 0.919 0.854 0.798
 512 91.80 0.917 0.865 0.819