Table 2.

Overall performance of the ANN trained with the transformed features from principal component analysis (PCA) in terms of the median and standard deviation (SD) metrics obtained by running 100 neural networks, using the first four principal components as input and dividing the dataset into training (65%), validation (20%) and test (15%) sets

	MO	HV
Median Accuracy ± SD	0.689 ± 0.05
Median Sensitivity (Recall) ± SD	0.715 ± 0.070	0.680 ± 0.092
Median Specificity ± SD	0.680 ± 0.092	0.715 ± 0.070
Median F1 Score ± SD	0.697 ± 0.052	0.682 ± 0.061