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Naive Bayes from Scratch in Python

Build Status

A custom implementation of a Naive Bayes Classifier written from scratch in Python 3.

Bayes Theorem

From Wikipedia:

In machine learning, naive Bayes classifiers are a family of simple probabilistic classifiers based on applying Bayes' theorem with strong (naive) independence assumptions between the features.

Dataset

Loan Defaulters

Home Owner Marital Status Annual Income Defaulted Borrower
Yes Single $125,000 No
No Married $100,000 No
No Single $70,000 No
Yes Married $120,000 No
No Divorced $95,000 Yes
No Married $60,000 No
Yes Divorced $220,000 No
No Single $85,000 Yes
No Married $75,000 No
No Single $90,000 Yes

Source: Introduction to Data Mining (1st Edition) by Pang-Ning Tan

Figure 5.9, Page 230

How to Run

Please run with Python 3 or greater.

python main