Table 2 The accuracy results for the transformer, RNN-CNN, and GAT models.

From: Artificial intelligence-powered prediction of AIM-2 inflammasome sequences using transformers and graph attention networks in periodontal inflammation

Model Name

ACC

Sensitivity

Specificity

AUC

MCC

Transformer

0.84

0.85

0.83

0.891

0.68

RNN_CNN

0.64

0.76

0.52

0.655

0.288

GAT

0.865

0.8

0.93

0.923

0.736

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