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This classification project is specifically focused on data visualization and feature selection. I got 96.49% accuracy here.

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Breast-Cancer-Analysis

About

This project is specifically focused on data visualization and feature selection. For data visualization I have used violin plot and swarm plot, and for feature selection I have used heatmap to finding the correlation between the features. I also used 3 different feature selection processes:

  • Feature selection with correlation and random forest classification
  • RFECV and random forest classification
  • Tree based feature selection and random forest classification

Result

I got the best result in the very first case, i.e. Feature selection with correlation and random forest classification where I got an accuracy of 96.49%

About

This classification project is specifically focused on data visualization and feature selection. I got 96.49% accuracy here.

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