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Big Data in Breast Cancer Prediction by s21b0062 is a document available to read on EtoBox.

What is Big Data in Breast Cancer Prediction about?

The document describes a use case for predicting breast cancer using big data analytics and machine learning. A group of students will analyze breast cancer datasets containing gene expression and DNA methylation data using different classification models like SVM, Decision Trees, and Random Forest. They will compare the models to determine which performs best in accuracy and consistency. They will also evaluate how using the scalable Spark platform with the Weka framework affects classification performance

Author

s21b0062

Language

EN