This project is one of classification. You will be working with the dataset found at http://archive.ics.uci.edu/ml/datasets/MAGIC+Gamma+Telescope. Your objective is to create a classifier which can signal and background radiation.
You will report your findings in a brief writeup, and then present your findings to to the class. In particular, you must answer the following questions:
- How did you split the dataset up into a training and a testing set?
- How accurate is your classifier?
- How many components did you use to capture the variance of the data, and why?
- What classification technique did you use?
You can use any classification technique you like, as well as any dimension reduction you like. Feel free to read your textbook or search for other techniques. Research is part of what data science is about!