The final report must be in PDF format using FONT 11 and 1.5-SPACE. A separate text file of your R program is also required. There is no page limit for the project report; you can include any materials into your report as long as they are related to the project, but the report must include the following items (in order):

A cover page with the project title, data set name

Leave a blank page

An introduction to the project

Result of decision tree using holdout method (Training data set takes 80% of the data size)

Result of decision tree using bagging

Result of decision tree using random forest

Result of decision tree using boosting

Result of Naïve Bayes classifier

Result of support vector machine using liner kernel with different costs

Result of support vector machine using radial kernel with different costs and gammas

Result of support vector machine using polynomial kernels with different costs and gammas

Comparison of multiple classification techniques

Conclusion of your project

References

pur-new-sol

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