Table 9.

The performance evaluation metrics of the proposed BTC-fCNN model in case 3 with retraining in each fold

Fold	Accuracy %	Loss	F1-score %	Precision %	Recall %	Specificity%	Time (Sec.)
1	92.82	0.22	92.15	92.39	91.92	96.19	38.65
2	98.86	0.04	98.73	98.67	98.79	99.41	26.32
3	98.04	0.06	97.94	97.94	97.94	98.98	41.31
4	99.02	0.04	98.87	98.74	99.01	99.52	26.49
5	99.18	0.03	99.07	98.87	99.28	99.62	26.77