TABLE 1.

Performance indices of the five executed under DERGA classification algorithms.

Ranking	Algorithm	Number of included genetic variants (input parameters)	Performance Indices
			Accuracy	Precision	F1‐Score	Recall	Specificity	Sensitivity
1	Decision Trees	22	0.9706	0.9625	0.9625	0.9625	0.9625	0.9758
2	Extra Trees Classification	18	0.9657	0.9740	0.9554	0.9375	0.9375	0.9839
3	Random Forrest	20	0.9657	0.9620	0.9560	0.9500	0.9500	0.9758
4	Gradient Boost	24	0.9314	0.9459	0.9091	0.8750	0.8750	0.9677
5	Gaussian Process Classification	29	0.9118	0.9189	0.8831	0.8500	0.8500	0.9516