Table 2.

This table shows the main results comparing the feature selection benchmarks of our approach with Lasso and ℓ ₁-SVM on the spiked data-set. Given results correspond to the average results over 10 repetitions of the classifier with 6 non-zero values

	SPA				Lasso				ℓ 1-SVM
Concentration	TP [a]	Sens [b]	Specs [c]	B. Acc [d]	TP	Sens	Spec	B. Acc	TP	Sens	Spec	B. Acc
0.075pMol/L	2	0.333	1.000	0.667	1	0.167	1.000	0.583	1	0.167	1.000	0.583
3.03pMol/L	4	0.667	1.000	0.833	2	0.333	1.000	0.667	1	0.167	1.000	0.583
0.30nMol/L	2	0.333	1.000	0.667	1	0.167	1.000	0.583	1	0.167	1.000	0.583
0.76nMol/L	2	0.333	1.000	0.667	2	0.333	1.000	0.667	2	0.333	1.000	0.667
121.21nMol/L	3	0.500	1.000	0.750	2	0.333	1.000	0.667	2	0.333	1.000	0.667

^[a]TP: Number of spiked peaks that are correctly detected

^[b]Sens: Sensitivity in detecting spiked peaks (T P/(T P+F N))

^[c]Spec: Specificity in detecting spiked peaks (T N/(F P+T N))

^[d]B. Acc: Balanced Accuracy ($\frac{\text{sens.}+\text{spec.}}{2}$)