Page 41 - Predicting the Risk of Attaining Breast Cancer
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Data Analysis
The information was gathered from the website of the Breast Cancer
Surveillance Consortium (BCSC). A random forest model was trained as a
classifier after data wrangling and feature engineering measures.
Precision and recall were used to fine-tune and evaluate results. In order
to build the project HTML, CSS, Python, Flask & D3.js were used.
