Please go to link and download lenses dataset and perform classification

CS 5630 Data Mining

Group Project Data

The project is for data classification. Please find the data set from the website

https://archive.ics.uci.edu/ml/datasets/Lenses

and perform different classification techniques.

Project Report Format

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):

1. A cover page with the project title, data set name

2. Leave a blank page

3. An introduction to the project

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

5. Result of decision tree using bagging

6. Result of decision tree using random forest

7. Result of decision tree using boosting

8. Result of Naïve Bayes classifier

9. Result of support vector machine using liner kernel with different costs

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

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

12. Comparison of multiple classification techniques

13. Conclusion of your project

14. References