Table 3. The result of the comparative studies of multilabel models’ performances on BU-3DFE dataset is presented as follows.

Metric with ↑ indicates the higher the metric value, the better the model performance, and metric with ↓ indicates the lower or smaller the value of the metric the better the model’s performance.

ML-Models	Hamming loss ↓	Ranking loss ↓	Average precision ↑	Coverage ↓
RAKELD	0.4126	0.6859	0.2274	4.8137
CC	0.1807	0.8393	0.3107	4.8094
MLkNN	0.1931	0.8917	0.2634	4.9486
MLARAM	0.3045	0.6552	0.3180	3.1970
ML-CNN	0.1273	0.2867	0.5803	2.5620
VGGML-CNN	0.0890	0.1647	0.7093	1.9091