Machine-Learning

Machine Learning Project (Bayes/KNN Classifiers)

This project is the work of myself and Georgina Karakasilioti [www.github.com/baby-pink] and was created during our 5th semester at Athens University of Economics and Bussiness, during our BSc studies. It includes an implementation of a Naive Bayes Classifier as well as a k-Nearest-Neighbours Classifier, both trained by a data-set in CSV format. It also includes a front-end for querying both classifiers. Both classifiers are built in Java and tested on Debian Linux as well as Windows platforms. Use make for easy compilation, running and cleaning of the project.

Makefile targets

make bayes

Compiles the Naive Bayes Classifier.

make knn

Compiles the k-Nearest-Neighbours Classifier.

make runBayes

Runs the Naive Bayes Classifier using training.csv for training data.

make runKnn

Runs the k-Nearest-Neighbours Classifier using training.csv for training data.

make usageBayes

Prints usage message for the Naive Bayes Classifier.

make usageKnn

Prints usage message for the k-Nearest-Neighbours Classifier.

make clean

Cleans the project.