BOSO: A novel feature selection algorithm for linear regression with high-dimensional data
Fig 6
Performance comparison of BOSO under different information criterions using the F1-score in the 4 considered problem settings.
a) Low setting; b) Medium setting; c) High-5 setting; d) High-10 setting. Dots and bars represent, respectively, the mean and standard deviation of F1-score across 10 random samples for different SNR values. Note here that BOSO-BIC and BOSO-eBIC obtained the same result in the low setting and, for this reason, the blue and green lines overlap in panel a.