Table 2.

Comparison of the performance parameters for the Alpha and Gamma classifiers.

Classifier	MCC	Accuracy	F1-score	Loss
Alpha (optimum)	0.42	0.82	0.82	0.56
Gamma (overfitted)	0.42	0.73	0.73	0.70

These parameters were calculated using the same test dataset.