Table 2.

Predictive Performance of Handcrafted Clinical Feature Combinations for Predicting pCR.

Case	Selected features	AUC	Sensitivity	Specificity	Balanced ACC
1	Positive nodes number, Weight, cN stage	0.74±0.11	0.500 ± 0.279	0.835 ± 0.032	0.667 ± 0.130
2	Positive nodes number, weight	0.72±0.09	0.400 ± 0.226	0.798 ± 0.051	0.599 ± 0.089
3	Positive nodes number, distance to anorectal junction	0.62±0.06	0.567 ± 0.082	0.676 ± 0.054	0.621 ± 0.030
4	Positive nodes number, Number nodes	0.65±0.08	0.533 ± 0.245	0.634 ± 0.103	0.583 ± 0.114
5	Positive nodes number, cT	0.65±0.05	0.833 ± 0.149	0.474 ± 0.104	0.653 ± 0.057
6	cN stage	0.63±0.11	0.800 ± 0.194	0.549 ± 0.109	0.674 ± 0.096

Combination 1: Positive nodes number with weight and cN stage; Combination 2: Positive nodes number with weight; Combination 3: Positive nodes number with distance to anorectal junction; Combination 4: Positive nodes number number nodes; Combination 5; Positive nodes number with cT; Combination 6: Positive nodes number with cT, and cN stage. Performance metrics are reported as mean ± standard deviation across cross - validated XGBoost models.