Breast Cancer Classification:

Python, SciKit, Jupyter, Pandas, SVM, Excel, Git, Github

A SVM model to predict Breast cancer from the Wisconsin Breast Cancer data set. Classifies whether a patient's diagnosis is benign (non cancerous) or malignant (cancerous).

Confusion matrix of a run of the SVM model — Confusion matrix of a run using a polynomial kernel.

Features:

Variable to set kernel type
Result export options:
- .png of confusion matrix
- .txt file containing confusion matrix, score and report
- .xlsx file containing confusion matrix, score and report in three seperate sheets
Result Excel file contains formulas for quick analysis of multiple runs

Data used under CC BY-NC-SA 4.0 license.