Fig. 3: Classification results shown as confusion matrices on the same test dataset.

a TrapNet, b LSTM, c Bi-LSTM, d CNN, e CLSTM, and f Transformer. Each matrix maps true labels to predicted labels, with darker shades indicating higher counts. Diagonal cells represent correct classifications, while off-diagonal cells indicate misclassifications.