Added value of systemic inflammation markers for monitoring response to neoadjuvant chemotherapy in breast cancer patients

Table 2 Performance for response to neoadjuvant chemotherapy risk prediction of models in breast cancer patients

Model	AUC (95%CI)	Sensitivity	Specificity	PPV	NPV	Kappa	Brier
SVM	0.96 (0.91-1.01)	96.58	45.28	88.63	75.00	0.68	0.06
RF	0.94 (0.87-1.01)	94.44	68.75	86.67	68.75	0.65	0.07
NB	0.86 (0.79-0.93)	96.36	35.80	83.14	75.00	0.62	0.07
NN	0.88 (0.82-0.94)	93.15	25.00	93.15	53.15	0.62	0.07
DT	0.83 (0.77-0.89)	94.50	24.14	74.12	65.63	0.59	0.07
GLM	0.81 (0.71-0.91)	95.70	23.76	69.80	75.00	0.57	0.08

AUC: Area under the curve.area under the receiver operating characteristics curve; PPV: Positive predictive value; NPV: Negative predictive value, 95%CI: 95% confidence interval; SVM: Support vector machine; RF: Random forest; NB: Naive bayes ; NN: Neural network; DT: Decision tree; GLM: Generalized linear model.