Table 3. Random forest prediction metrics for prediction of immune scores using intratumoral microbiome relative abundance scores (n = 883).
From: Characterization of intra-tumoral microbiota from transcriptomic sequencing of Asian breast cancer
Immune score | F1 Score | Area under the ROC curve (95% CI) | Precision (95% CI) | Sensitivity (95% CI) | Specificity (95% CI) |
|---|---|---|---|---|---|
IFNγ | 0.75 | 0.80 (0.77–0.83) | 0.67 (0.63–0.70) | 0.87 (0.83–0.89) | 0.61 (0.57–0.66) |
Bindea | 0.72 | 0.78 (0.75–0.81) | 0.70 (0.66–0.74) | 0.74 (0.70–0.78) | 0.70 (0.65–0.73) |
ESTIMATE | 0.68 | 0.72 (0.69–0.75) | 0.65 (0.61–0.69) | 0.70 (0.66–0.74) | 0.63 (0.59–0.67) |
CD8 | 0.65 | 0.72 (0.69–0.75) | 0.65 (0.61–0.69) | 0.64 (0.60–0.69) | 0.68 (0.64–0.72) |
IMPRES | 0.27 | 0.60 (0.54–0.66) | 0.17 (0.14–0.21) | 0.65 (0.56–0.73) | 0.55 (0.51–0.58) |
