Skip to main content

Table 1 Performance of the support vector machine classifier

From: Molecular signatures mostly associated with NK cells are predictive of relapse free survival in breast cancer patients

Class Sensitivity Specificity PPV NPV
0 0.9 0.667 0.818 0.8
1 0.667 0.9 0.8 0.818
  1. Support vector machine predictor was built as a linear function of the log-ratios of the expressions of 8 genes screened by RT-PCR. According to our LOOCV results, the 8 selected genes were able to predict with an accuracy of 81% patients’ outcome with 90% sensitivity and 66% specificity.
Back to article page