How would you handle a situation in which the SVM is performing poorly due to the choice of kernel?
- Change the dataset
- Change to a more appropriate kernel using cross-validation
- Ignore the issue
- Use only linear kernel
Changing to an appropriate kernel using cross-validation can enhance the performance if the current kernel is not suitable for the data.
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