Project Assignment:
THOROUGHLY READ AND FOLLOW THE
PROJECT GUIDELINES.
These guidelines contain detailed information about how to structure your
project, and how to prepare your written and oral reports.
*** NEW ***: Your written report should be at most 5 pages long
(including all the graphs, figures, and appendices).
The font size should be no smaller than 11pts.
- Data Mining Technique(s):
Use the Naive Bayes and Bayesian Net classifiers
methods implemented in the Weka system, or
implement your own code.
- Dataset(s):
In this project, we will use one dataset:
- Performance Metric(s):
- Use classification accuracy. If you wish, you can use other metrics
to evaluate the "goodness" of your models, IN ADDITION to accuracy.
- If possible, compare the accuracies you obtained against those of
benchmarking techniques or previously studied techniques as
ZeroR, OneR, ID3, J4.8, ANNs over the same (sub-)set
of data instances you used in each experiment.
- Report the training time needed to construct the model in each of
the experiments.
- Algorithm Options: