New Approach for Risk Estimation Algorithms of BRCA1/2 Negativeness Detection with Modelling Supervised Machine Learning Techniques

Table 3

Results of the supervised machine learning algorithms.

Method	Dataset	Number of features ()	Accuracy (%)	Precision (%)	Recall (%)	F1 score (%)
SVM	Dataset 1	26	86.72	75	87	81
	Dataset 2	9	86.56	75	87	80
KNN	Dataset 1	26	85.68	78	86	81
	Dataset 2	9	87.94	86	88	85
DT	Dataset 1	26	78.83	80	79	79
	Dataset 2	9	92.88	93	93	92

SVM: support vector machines; KNN: nearest neighbours; DT: decision tree.