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Table 2 Random Forest classifier performance

From: Systematic analysis of 18F-FDG PET and metabolism, proliferation and hypoxia markers for classification of head and neck tumors

  Model Accuracy overall model Accuracy cross validation test set (mean ± SD)
PET Parameters 21.1% 19.0% ± 8.0%
  + features 26.7% 23.1% ± 8.8%
IHC Parameters 76.9% 74.9% ± 10.9%
  + features 83.9% 79.8% ± 10.2%
PET + IHC Parameters 83.6% 76.4% ± 11.0%
  + features 81.0% 82.0% ± 10.6%