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Handling missing values
I have created the following work-flows:
1. with k-NN classifier.
2. with Naive Bayes classifier.
3. with Weka:W-J48 classifier.
For the J48 classifier there is a link to the Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
There the description of handling of missing values is given.
How does k-NN and Naive Bayes handle the missing values?