Table 1.
Average accuracy, sensitivity, and specificity for 200 iterations in the simulation at an increasing shifting variation from ppm to
ppm across the proposed method, Lasso, elastic net, and adaptive Lasso. Corresponding standard deviations are recorded in parentheses
Metrics |
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Accuracy | 0.999 (0.002) | 0.998 (0.003) | 0.997 (0.005) | 0.995 (0.006) | |
Proposed method | Sensitivity | 0.980 (0.119) | 0.990 (0.081) | 0.978 (0.116) | 0.950 (0.208) |
Specificity | 0.999 (0.002) | 0.998 (0.003) | 0.997 (0.004) | 0.996 (0.005) | |
Accuracy | 0.988 (0.029) | 0.973 (0.040) | 0.956 (0.062) | 0.949 (0.065) | |
Lasso | Sensitivity | 0.748 (0.328) | 0.758 (0.263) | 0.760 (0.209) | 0.697 (0.270) |
Specificity | 0.991 (0.030) | 0.976 (0.041) | 0.960 (0.063) | 0.954 (0.067) | |
Accuracy | 0.941 (0.089) | 0.936 (0.064) | 0.923 (0.061) | 0.898 (0.090) | |
Elastic net | Sensitivity | 0.992 (0.052) | 0.915 (0.146) | 0.843 (0.167) | 0.827 (0.167) |
Specificity | 0.940 (0.091) | 0.936 (0.063) | 0.924 (0.062) | 0.899 (0.092) | |
Adaptive Lasso | Accuracy | 0.984 (0.043) | 0.964 (0.056) | 0.956 (0.059) | 0.945 (0.069) |
Sensitivity | 0.812 (0.242) | 0.793 (0.210) | 0.765 (0.188) | 0.757 (0.188) | |
Specificity | 0.986 (0.044) | 0.967 (0.057) | 0.959 (0.061) | 0.947 (0.070) |