Table 13.

Statistical summary of the ResNet50 model (all features).

Algorithm	Accuracy (%)	F1 score (%)	Recall (%)	Precision (%)
Logistic regression	99.52	99.52	98.82	99.53
DT classifier	94.94	94.89	90.89	94.87
Gaussian NB	93.07	93.20	91.25	93.47
K-neighbors classifier	98.94	98.93	97.80	98.94
LDA	99.41	99.41	98.98	99.41
SVC	98.70	98.70	96.77	98.72
Stacking classifier	99.77	99.77	99.41	99.77