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Table 4 Summary of thymoma subtype prediction by a LOOCV method

From: Using proteomic profiling to characterize protein signatures of different thymoma subtypes

  Thymoma Type
AB B2 B3
No. of Samples 8 8 5
No. of Unique DEPa 43 42 37
LOOCV mean accuracy rateb 83% 83% 96%
Sensitivity 0.89 0.73 0.50
Specificity 1.00 1.00 0.86
PPVc 100% 100% 38%
NPVd 97% 91% 91%
AUCe 0.99 0.93 0.94
  1. a DEP: differentially expressed protein
  2. bThe average classification accuracy rate was calculated in leave-one-out cross validation using differentially expressed proteins
  3. c PPV: positive predictive value, the proportion of positive results in a classifier that is truly positive in the experimental results
  4. d NPV: negative predictive value, the proportion of negative results in a classifier that is truly negative in the experimental results
  5. e AUC: Area under the curve, represents how well a classifier can distinguish one type from the others