This is a small project to test custom algorithms on the dataset for breast cancer. In this repository you will find necessary information to get you going with these 3 classifcation algorithms (KNN, Logistic Regression and Naive Bayes)
This is Wisconsin Dataset for breast cancer but you will find it inside the root folder of this project.
- Python version used in this project: 3.5+
- Pandas 0.18.0
- Numpy 1.10.4
- Matplotlib 1.5.1
- Scikit-learn 0.17.1
Each algorithm tested (or version of it) has its own separate .ipynb file. Each file has its name to tell you what algorithm is used.
To run this project you will need some software, like Anaconda, which provides support for running .ipynb files (Jupyter Notebook).
After making sure you have that:
For example if yu want to test vectorized version of KNN you should execute one of these 2 lines in your terminal:
ipython notebook KNN - Vectorized.ipynb
or
jupyter notebook KNN - Vectorized.ipynb
MIT License
Copyright (c) 2017 Luka Anicin
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.