Table 8. Metrics Jaccard similarity (Benchmark techniques VS MLEn).

Methods/ Datasets	Automobiles (%)	Birds (%)	Emotions (%)	Hotel (%)	Medical (%)	Movies (%)	News (%)	Proteins (%)
DenseNet-EHO	0.93	0.96	0.91	0.98	0.94	0.95	0.9	0.92
BERT [52]	0.87	0.9	0.85	0.92	0.88	0.89	0.84	0.86
ML-RBF [30]	0.72	0.75	0.7	0.77	0.73	0.74	0.69	0.71
RAKEL [9]	0.75	0.78	0.73	0.8	0.76	0.77	0.72	0.74
ECC [31]	0.7	0.73	0.68	0.75	0.71	0.72	0.67	0.69
CNN [5]	0.73	0.76	0.71	0.78	0.74	0.75	0.7	0.72
NB [6]	0.71	0.74	0.69	0.76	0.72	0.73	0.68	0.7
LSTM [32]	0.77	0.8	0.75	0.82	0.78	0.79	0.74	0.76
ResNet [14]	0.74	0.77	0.72	0.79	0.75	0.76	0.71	0.73
CapsNet [33]	0.76	0.79	0.74	0.81	0.77	0.78	0.73	0.75
GRU [51]	0.78	0.81	0.76	0.83	0.79	0.8	0.75	0.77