Table 2 Confusion matrix when linear regression, lasso and rf were applied to the synthetic dataset (\(N=1000,N_1=10,M=10,K=3\))
| Â | Linear regression | Lasso | Rf | |||
|---|---|---|---|---|---|---|
Adjusted | Adjusted | Â | Â | Â | Â | |
\(P_i \le 0.01\) | \(P_i > 0.01\) | Selected | not selected | Selected | Not selected | |
\(k=1\) | Â | Â | Â | Â | Â | Â |
\(i \le 2N_1\) | 0.07 | 19.93 | 4.62 | 15.383 | 17.55 (5.82) | 2.45 (14.18) |
\(i > 2N_1\) | 0.03 | 979.97 | 2.12 | 977.88 | 495.43 (14.18) | 484.57 (965.82) |
\(k=2\) | Â | Â | Â | Â | Â | Â |
\(i \le N_1\), \(2N_1< i \le 3N_1\) | 0.07 | 19.93 | 4.70 | 15.30 | 17.69 (5.67) | 2.31 (14.33) |
Other than above | 0.01 | 979.99 | 2.27 | 977.73 | 494.70 (14.33) | 485.30 (965.67) |
\(k=3\) | Â | Â | Â | Â | Â | Â |
\(i \le N_1,3N_1< i \le 4N_1\) | 0.09 | 19.91 | 4.55 | 15.45 | 17.71(5.46) | 2.29 (14.54) |
Other than above | 0.01 | 979.99 | 2.12 | 977.78 | 496.68 (14.54) | 483.32 (965.46) |