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strange results with polynomial kernel
Hello,
For some reason I get very strange classifications with polynomial kernel. I have 966 training instances and 518 test instances. With polynomial kernel I have only negative classifications. With any other kernel I have different results with small variance (accuracy is approximately 35%).
The problem is I don't understand why polynomial kernel gives these non-meaningful results. How I can debug it?
Did you do a grid search to find the optimal kernel parameters?