Compare and contrast the methods and their outputs

Data Mining I: Basic Methods and Techniques

4. Produce a K-NN model (classifiers.lazy.IBk) for Weather.numeric data set.

The standard K-nearest neighbor method can be found in the ‘lazy’ submenu of the list presented when you click ‘Choose’ in Explorer’s Classify window. It is called ‘IBk’. Select this and then click on IBk so you can modify the parameters. The default value of k is 1. Set it to 3 (or other value of your preference) and then click Start to run the programs.

What % of examples are correctly classified? Compare the result to the same result of the unpruned decision tree procedure. Try investigating the effect of repeating the run with different values for k. Compare and contrast the 2 methods and their outputs.