Table 21.

Performance of classifiers when input is reconstructed by PCA on the test set of dataset1.

Model name	Specificity	Sensitivity	F1	Precision	Accuracy
ANN	0.9385	0.7778	0.8273	0.8835	0.8782
SVM	0.9821	0.5940	0.7316	0.9521	0.8365
Decision Tree	0.9846	0.6026	0.7402	0.9592	0.8413