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 | Â | Â | Â | Â | Â |
|---|---|---|---|---|---|
Datasets | Linear | Quadratic | RBF | Correlation | Hadamard |
| Â | 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 |