Data Classification

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

Dataset

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

Data set name

magic04.data

Algorithms Used

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

How To Run The Progam

1. Run main.py

Output

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.

Sample Output

K-Nearest Neighbour Tuning Graph

Random-Forest Tuning Graph

Ada-Boost Tuning Graph

Naive-Bayes Data

K-Nearest Neighbour Data

Random-Forest Data

Decision-Tree Data

Ada-Boost Data