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Table 5 Comparison of Hadamard kernel on raw data and different methods on normalized data(RNA)

From: Hadamard Kernel SVM with applications for breast cancer outcome predictions

Methods      
Datasets Linear Quadratic RBF Correlation Hadamard
  kernel kernel kernel kernel kernel
GSE87517 0.6022 0.4562 0.5459 0.7189 0.9524
GSE47462 0.7422 0.5322 0.4029 0.7506 0.8949
GSE48213 0.9990 0.9982 0.3375 0.9993 0.9996
  1. The bold face represents significantly best performance for different compared methods