Breast Cancer Detection

This project implements a K-Nearest Neighbors (KNN) classifier to detect breast cancer from a dataset.

Table of Contents

• Installation
• Usage
• Evaluation
• Contributing

Installation

To run this project, you need to have the following Python packages installed:

• pandas
• numpy
• seaborn
• matplotlib
• scikit-learn

You can install these packages using pip:

pip install pandas numpy seaborn matplotlib scikit-learn

Usage

1. Load the dataset using pandas.

2. Preprocess the data (handle missing values, feature scaling, etc.).

3. Train the KNN classifier with the training set.

4. Evaluate the model using a confusion matrix and F1 score.

Evaluation

The performance of the model is evaluated using:

• Confusion Matrix
• F1 Score

Contributing

Contributions are welcome! Please open an issue or submit a pull request.