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Sample R code for Classification

nn.result <- knn(WWTrain50S, WWTrain50S, cl=WWTrain5SC$FactQ, k=5)

Nearest neighbor classifier is used with three levels (Low, Medium, High) of quality. It turned out that for k = 5, test data misclassification rate is lowest, when all predictors are being used.