Table 2.
Confusion matrixes for synthetic data sets
| A | 1 | 2 | 3 | |||
| PCA | P≥0.01 | P<0.01 | P≥0.01 | P<0.01 | P≥0.01 | P<0.01 |
| i>100 | 9900 | 0 | 9900 | 0 | 9900 | 0 |
| i≤100 | 0 | 100 | 0 | 100 | 0 | 100 |
| Regression | P≥0.01 | P<0.01 | P≥0.01 | P<0.01 | P≥0.01 | P<0.01 |
| i>100 | 9900 | 0 | 9900 | 17 | 9900 | 48 |
| i≤100 | 0 | 100 | 0 | 83 | 0 | 52 |
| A | 4 | 5 | 6 | |||
| PCA | P≥0.01 | P<0.01 | P≥0.01 | P<0.01 | P≥0.01 | P<0.01 |
| i>100 | 9900 | 0 | 9900 | 0 | 9900 | 0 |
| i≤100 | 0 | 100 | 0 | 100 | 0 | 100 |
| Regression | P≥0.01 | P<0.01 | P≥0.01 | P<0.01 | P≥0.01 | P<0.01 |
| i>100 | 9900 | 64 | 9900 | 72 | 9900 | 85 |
| i≤100 | 0 | 36 | 0 | 28 | 0 | 15 |
P-values were adjusted by BH criterion