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Tumor Classification — Machine Learning

Project Overview

  • Purpose: Classify tumors using the provided dataset and a Jupyter notebook.
  • Notebook: notebook/Tumor-Classification-ML.ipynb
  • Data: data/UTF-8cancer_tumor_dataset2.csv
  • Models: Logistic Regression, Random Forest, SVM
  • Evaluation Metrics: Accuracy/Precision/Recall/F1-score

Setup

  1. Create a virtual environment:

    python -m venv .venv
.\.venv\Scripts\Activate.ps1

  2. Install dependencies:

    pip install -r requirements.txt

Usage

  • Open and run the notebook notebook/Tumor-Classification-ML.ipynb in Jupyter.
  • Ensure data/UTF-8cancer_tumor_dataset2.csv is present.

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