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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%