This project was implemented to test the different algorithms used in classification and clustersing on 3 different data sets to compare the effieciency of the algorithms.
- Normalization
- MSS
- KNN
- Bayes
The algos were tested on the 3 data sets were there is an interface implemented to show the results of the algos and compare the accuracy of each algorithm were its calculated for each algorithm.