Machine Learning

Homework 4

Due: October 16, 2009 (midnight)

No late homeworks will be accepted.

  1. Run the NaiveBayes classifier on the labor dataset. Use the training set as the test option. Include in your submission the printed results from WEKA.
  2. Based on the results from question 1, what is the P(vacation=generous | class=good)?
  3. Redo questions 4 and 5 from Homework 3, only substitute NaiveBayes for ConjunctiveRule.
  4. Redo questions 6 and 7 from HW3, only substitute NaiveBayes for J48.
  5. Email to me (holder@eecs.wsu.edu) a zip file containing the following:
    1. Text file containing the raw output of the NaiveBayes run on the labor dataset.
    2. Text file containing the raw output of the first experiment above (result as from HW3 question 4h).
    3. Raw threshold curve data for NaiveBayes and MultilayerPerceptron on the labor dataset (the two files you saved as in step 6e in HW3).
    4. Nicely-formatted report (MSWord or PDF) containing:
      • Answer to question 2.
      • Table summarizing results of experiment in question 3.
      • Nicely-formatted plot of the two ROC curves.
      • Discussion of performance comparison based on the ROC curves.