Experiment Results

      All experiments here were done with the full training data set and tested with the full test data set. For the details of each experiment, please see the test.txt file for that test.

Normalization :

• All numeric attribute values result in being in the interval [0, 1].
• Numeric values were normalized prior to calculating the distance between instances.

Discretization :

• The same method used for Project 2: Decision Trees was used here. The only difference being that continuous attributes could be split into more than two bins.

Missing Values :

• For attributes with a missing value, a distance contribution of 1 was used..

      The best results from this set of experiments was ... I don't know yet, the first test hasn't finished...

      Out of curiosity, I repeated these experiments with the more complex Weka IBk Classifier. The result were... I don't know yet...

Summary of these results: