Table 6.

presents the results of the training and validation accuracies obtained for the five-fold cross-validation of RESCOVIDTCNNet. It can be noted from the table that they are consistent, and validation follows the training highlighting the proper training of the system. Table 6: Training and validation accuracies obtained from Fold 1 to Fold 5 of the RESCOVIDTCNNet.

Folds	Training Accuracy (%)	Validation Accuracy (%)
Fold 1	99.890%	99.700%
Fold 2	99.553%	99.251%
Fold 3	99.457%	99.241%
Fold 4	99.012%	98.803%
Fold 5	99.912%	99.850%