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A simple naive bayes machine learning classifier that predicts the datapoint p(Bad, A, High) given a set of sample data (see documentation).

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naive-bayes-classifier

A simple naive bayes machine learning classifier that predicts the datapoint p(Bad, A, High) given a set of sample data (see documentation).

Running the program

main.py was programmed in Python3 in Atom on a Windows 10 x64 machine. It was compiled, and tested using modified environment variables using the CLI.

Clone the repository. Then, open a command prompt to the directory you cloned the repository. Type:


    python3 main.py

It should output something like

alt text

Training dataset and directions

The training dataset and directions were given by Professor Ling Zheng, of Monmouth University. All rights to these images go to her.

alt text

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A simple naive bayes machine learning classifier that predicts the datapoint p(Bad, A, High) given a set of sample data (see documentation).

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