Breast Cancer Prediction

The purpose of this project is to apply machine learning algorithms to predict whether a Breast Cancer Tumor is Malignant or Benign.

How it works

• Read in the dataset using pandas read_csv function
• Preprocess the dataset
• Split the dataset into training , validation and testing samples
• Train the models
• Test the models
• Perform evaluation on the results
• Select the model that generates the best results

Compilation and Execution

To execute this program on your machine, you need to have the following installed on your machine. python,pandas,scikit-learn,numpy

$ sudo apt-get install python python-pandas 
$ pip install -U scikit-learn

To run the code,

$ python classifiers.py

Once this successfsully runs, resulting images will be stored in the image/ directory that contains evaluation results for the different models used here

Team Members

Oreoluwa A. Ogundipe, Edwin Perez, Dakshina Pujari, Roberto Perez-Soriano, Carlo Salazar.

Credits

Dataset Obtained from Kaggle.

License

MIT