A Comparison of Naive-Bayes and Random Forest Machine Learning Models Applied to Breast Cancer

Introduction

Predicting the outcome of a binary classification task: whether the breast cell nucleus is benign or malignant. Compare and contrast the performance of two machine learning models for this task: Naive Bayes and Random Forest. Dataset used is the Breast Cancer Wisconsin(Diagnostic) dataset. The project is written in MATLAB, and codes can be found in this GitHub Repo.

Results

Naive Bayes

Random Forest

Comparison