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Table 4 Comparison of Hadamard kernel on raw data and different methods on normalized data

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

Methods      
Datasets Linear Quadratic RBF Correlation Hadamard
  kernel kernel kernel kernel kernel
GSE1872 1 1 0.2367 0.9962 1
GSE32394 0.9556 0.9556 0.8500 0.9444 0.9833
GSE59246 0.8546 0.8546 0.8061 0.8626 0.8849
GSE59993 0.8521 0.8476 0.7977 0.8277 0.8913
GSE25055 0.8619 0.8615 0.7914 0.7715 0.8590
GSE1379 0.7009 0.5017 0.7411 0.6797 0.7623
  1. The bold face represents significantly best performance for different compared methods