Choosing your own data set run it on weka then answer the following questions

1.Describe your dataset, size, attributes, the attribute type and possible values;

2.Include visualization done for the dataset and discuss it;

3.Include calculated statistics for the dataset and discuss it;

4.Describe any problems with the dataset: too many attributes, missing values,

5.Describe the solutions you made dealing with that (B)

6.Define/Describe your data mining problem: What you are searching for?

7.Describe your Knowledge representation model

8.Describe what algorithms you are choosing/running

9.Describe the choice of your training/testing dataset sizes

10.Report efficiency results for each run

11.Analyze the efficiency results for each model constructed. Is there anything strange? Try to explain, if it is.

12.Describe possible application/s of your project.