Breast Cancer Predictor

This project is a basic breast cancer prediction tool built using a decision tree classifier. The predictor utilizes key features derived from breast cancer datasets to assist in assessing potential risks.

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Features

• User Inputs:
  Adjust the following parameters through sliders to simulate data:

  • Radius
  • Texture
  • Perimeter
  • Area
  • Smoothness
  • Compactness
  • Concavity
  • Symmetry
  • Fractal Dimension

• Prediction Model:

  • A decision tree classifier is used to predict whether the person has breast cancer or not based on the input features.

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How to Run the Project

1. Clone the repository:

   git clone https://github.com/genomecrafter/Breast-cancer-Predictor
   cd Breast-cancer-Predictor
   streamlit run main.py