barzansaeedpour/cancer-detection
This repository contains code and analysis for detecting cancer using various machine learning algorithms. We compare the performance of logistic regression, decision tree, and random forest models.
This project helps medical researchers and data analysts working with breast cancer data. It takes raw patient data, cleans and prepares it, and then applies different machine learning models to predict cancer. The output provides a comparative analysis of model performance, helping users understand which model might be most effective for their specific diagnostic tasks.
No commits in the last 6 months.
Use this if you need to quickly set up and compare various machine learning models for breast cancer detection using a pre-processed dataset.
Not ideal if you require a fully integrated, production-ready diagnostic system or need to work with a different type of cancer data.
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Last pushed
Feb 13, 2024
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