Classification of data set using python (scikit-learn library)

To find out more about the dataset: https://archive.ics.uci.edu/ml/datasets/MAGIC%2BGamma%2BTelescope

Data set name

magic04.data

1. Naive-Bayes
2. K-Nearest Neighbour
3. Random-Forest
4. Decision-Tree
5. Ada-Boost

1. Run main.py

Ouptut of the run is generated in

/output/

It contains:

1. Tuning graph for K-Nearest Neighbour, Random-Forest, Ada-Boost algorithms.
2. Excel file containing model accuracy, precision, recall and F- measure as well as the resultant confusion matrix using the testing data.