Table 1.
Performances of ICA-based feature extraction. Mean values of sensitivity and specificity are reported as well as class probability originated from random forest voting
| Predicted variables | Groups | Accuracy (st.dev.) | Sensitivity specificity | P2PM (prob.) | P4PM (prob.) | P6PM (prob.) | P4NS (prob.) | NHEM (prob.) |
|---|---|---|---|---|---|---|---|---|
| Gender | female: 179 | 0.996 (< 0.001) |
0.994 0.994 |
female (0.73) | female (0.66) | male (0.79) | female (0.68) | female (0.67) |
| male: 293 | ||||||||
| Sample type | primary: 105 | 0.871 (0.003) |
0.733 0.733 |
primary (0.68) | primary (0.55) | primary (0.65) | primary (0.59) | meta-static (0.51) |
| metastatic: 367 | ||||||||
| Subtype (RNA cluster) | immune: 170 | 0.902 (0.006) |
0.877 0.945 |
keratin (0.64) | keratin (0.48) | keratin (0.61) | keratin (0.64) | keratin (0.55) |
| keratin: 102 | ||||||||
| MITF-low: 59 |