Does accuracy of classification depend upon all parameters of a cross validated SVM classifier?

01 January 2016 1 7K Report

If i apply soft normalization to features and perform cross validation(3-steps)and then test the test features (also soft normalized), i get classification accuracy 98.70% along with the best parameters c and gamma. However, if i use these best parameters in a another code to find classification accuracy for same normalized test features (the code is not performing cross validation here) the accuracy is 88.95%.What can be the reason?

Karima Amara Korba

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