In a high-dimensional dataset, how would you decide which kernel to use for SVM?
- Always use RBF kernel
- Always use linear kernel
- Choose the kernel randomly
- Use cross-validation to select the best kernel
By using cross-validation, you can compare different kernels' performance and choose the one that gives the best validation accuracy.
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