| Predictors | Acc | Spec | Sens | AUC |
---|---|---|---|---|---|
Neural network | Tumor size, T-stage, nipple involvement, N stage, pCR, triple negative, skin involvement, lymph node involvement, ER+/HER2, pectoralis muscle involvement | 0.947 ± 0.022 | 0.986 ± 0.019 | 0.062 ± 0.076 | 0.840 ± 0.117 |
Random forest | Tumor size, T-stage, N stage, pCR, triple negative, age, nipple involvement, skin involvement, lymph node involvement, ER+/HER2 | 0.915 ± 0.035 | 0.932 ± 0.025 | 0.667 ± 0.209 | 0.830 ± 0.045 |
Logistic regression | Tumor size, T-stage, pCR, N stage, triple negative, nipple involvement, skin involvement, age, ER+/HER2, pectoralis muscle involvement | 0.898 ± 0.055 | 0.985 ± 0.012 | 0.310 ± 0.284 | 0.850 ± 0.098 |
Gradient boosted regression | Tumor size, T-stage, pCR, triple negative, nipple involvement, N stage, skin involvement, lymph node involvement, age, ER+/HER2 | 0.869 ± 0.306 | 0.953 ± 0.031 | 0.244 ± 0.167 | 0.841 ± 0.118 |