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Table 3 Fisher discriminant analysis and cross-validation

From: Prediction of the clinicopathological subtypes of breast cancer using a fisher discriminant analysis model based on radiomic features of diffusion-weighted MRI

  Subtypes/n Training dataset Prediction accuracy
1 2 3 4 5
Fisher discriminant analysis 1 28 0 1 0 0 97%
2 0 31 0 0 0 100%
3 0 0 16 0 1 94%
4 1 1 0 22 0 92%
5 0 0 0 0 11 100%
Total 96.4%
Leave-one- out cross- validation 1 23 4 0 0 2 79%
2 1 24 0 1 5 77%
3 1 0 15 1 0 88%
4 0 2 0 22 0 92%
5 3 0 0 0 8 73%
Total 82.1%
  1. Subtypes: 1, luminal A; 2, luminal BHER2-; 3, luminal BHer2+; 4, HER2 positive; 5, triple negative
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