BOSO: A novel feature selection algorithm for linear regression with high-dimensional data
Fig 3
Performance comparison of BOSO with different feature selection algorithms using Number of non-zeros 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 Number of non-zeros across 10 random samples for different SNR values. The dotted line is the actual value of non-zeros (s) for each SNR value.