Table 1.
Model | Misclassification errors (%) | Sensitivity (%) | Specificity (%) | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Eh_L 1/2 | L 1/2 | L 1 | Elastic | Eh_L 1/2 | L 1/2 | L 1 | Elastic | Eh_L 1/2 | L 1/2 | L 1 | Elastic | |
1 | 9.22 | 9.85 | 11.81 | 13.12 | 0.985 | 0.971 | 0.968 | 0.873 | 0.969 | 0.970 | 0.962 | 0.981 |
(0.36) | (0.31) | (0.41) | (0.12) | (0.00) | (0.00) | (0.02) | (0.00) | (0.00) | (0.01) | (0.01) | (0.00) | |
| ||||||||||||
2 | 10.76 | 10.83 | 13.21 | 14.14 | 0.939 | 0.939 | 0.943 | 0.835 | 0.987 | 0.981 | 0.987 | 0.980 |
(0.33) | (0.36) | (0.24) | (0.23) | (0.00) | (0.00) | (0.01) | (0.00) | (0.02) | (0.01) | (0.01) | (0.00) |
Simulation results (averaged over 100 runs) for comparison of misclassification errors, sensitivity, and specificity used the enhanced L 1/2 net, L 1/2 net, L 1 net, and the Elastic net, respectively. The standard errors are given in parentheses.