Skip to content

amoghasbhardwaj/AI-ML-Breast-Cancer-Predictor

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 

Repository files navigation

Breast Cancer Prediction 📊

A predictive model to determine malignant or benign breast cancer types using gene abnormalities.

Explore the Dataset »

Table of Contents 📖
  1. About The Project
  2. Algorithms Used
  3. Performance Metrics
  4. Getting Started
  5. Usage

About The Project 🚀

The Breast Cancer Prediction project aims to leverage data from hospitals and apply AI algorithms to predict whether breast cancer is malignant or benign. By analyzing gene abnormalities, this model provides a valuable tool for early detection and diagnosis, potentially saving lives.

Algorithms Used 🛠️

  1. Logistic Regression
  2. Decision Tree Classifier
  3. Random Forest Classifier
  4. Support Vector Classifier

Performance Metrics 📈

The following accuracies were achieved using the respective algorithms:

  • Logistic Regression Method: 97.08%
  • Decision Tree Classifier Method: 90.64%
  • Random Forest Classifier Method: 93.57%
  • Support Vector Classifier Method: 95.91%

Getting Started 🏃‍♂️

To get a local copy of the project up and running, follow these steps:

Prerequisites🔍

  • Python 3.9 and above
  • Jupyter Notebook
  • Libraries: pandas, numpy, scikit-learn, matplotlib, seaborn

Installation 🔨

  1. Clone the repo
    git clone https://github.com/amoghasbhardwaj/Breast-Cancer-Prediction.git
  2. Navigate to the project directory
    cd Breast-Cancer-Prediction
  3. Start Jupyter Notebook
    jupyter notebook
  4. Open the AI-ML Breast Cancer Predictor.ipynb file and run the cells to execute the code.

Usage ∵

    1. Open Jupyter Notebook.
    1. Load the dataset and run the data cleaning process.
    1. Train the models using the specified algorithms.
    1. Evaluate the performance metrics to check the accuracy.

Dataset

For more information regarding the dataset, refer to: Breast Cancer Wisconsin Dataset

About

AI ML Breast Cancer Predictor Project

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published