Team members: Burhan Uddin
here i show a simple idea of
1)naive bayes classification,
2)converting numerical value to categorical
3)Pearson chi- square test to find significant attributes for the classification
4)missing value finding
5)train & test (80/20)
6)10 fold cross validation
7)confusion matrix , recall, precisions, F-measure