Update page 'Solutions to the questions concerning R language'
@@ -423,4 +423,5 @@ table(OJ.test$Purchase, test.pred)
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Tuning reduces the training error to 15.12% and test error to 17.4% which is worse than radial kernel but slightly better than linear kernel.
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Tuning reduces the training error to 15.12% and test error to 17.4% which is worse than radial kernel but slightly better than linear kernel.
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**viii.**
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**viii.**
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Overall, radial basis kernel seems to be producing minimum misclassification error on both train and test data.
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Overall, radial basis kernel seems to be producing minimum misclassification error on both train and test data.
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