Table 7.

Ablation study on USBC breast cancer dataset

Methods	Accuracy	Precision	Recall	F-score	AUC
k = 1 (RBF)	0.751 ± 0.014	0.716 ± 0.012	0.748 ± 0.021	0.725 ± 0.018	0.793 ± 0.020
k = 1 (IM)	0.749 ± 0.013	0.729 ± 0.013	0.743 ± 0.023	0.721 ± 0.019	0.779 ± 0.020
k = 1 (LA)	0.737 ± 0.018	0.731 ± 0.020	0.747 ± 0.020	0.712 ± 0.021	0.768 ± 0.025
k = 2 (RBF+IM)	0.762 ± 0.021	0.751 ± 0.020	0.755 ± 0.030	0.738 ± 0.027	0.829 ± 0.030
k = 2 (IM+LA)	0.758 ± 0.020	0.759 ± 0.019	0.745 ± 0.021	0.743 ± 0.022	0.819 ± 0.023
k = 2 (RBF+LA)	0.765 ± 0.024	0.760 ± 0.024	0.757 ± 0.030	0.741 ± 0.025	0.808 ± 0.010
k = 3 (RBF+IM+LA)	0.770 ± 0.010	0.756 ± 0.011	0.768 ± 0.008	0.742 ± 0.018	0.831 ± 0.007

Experiments were repeated five times, with the average (±standard error) provided. k stands for the number of kernels with their names in parentheses. The best results for each metric are highlighted in bold