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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.
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Journal of Translational Medicine

ISSN: 1479-5876

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