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A. Become familiar with the use of the WEKA workbench to invoke several
different machine learning schemes.
Use latest stable version. Use both the graphical interface (Explorer)
and command line interface (CLI).
See Weka home page for Weka documentation.
B. Use the following learning schemes, with the default
settings to analyze the weather data (in weather.arff). For test
options, first choose "Use training set", then choose "Percentage
Split" using default 66% percentage split. Report model percent error
rate.
- ZeroR (majority class)
- OneR
- Naive Bayes Simple
- J4.8
C. Which of these classifiers are you more likely to trust when determining whether to play? Why?
D. What can you say about accuracy when using training set data and when using a separate percentage to train?
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