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Breast Cancer Severity Prediction Using Logistic Regression

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Breast Cancer Severity Prediction Using Logistic Regression

The dataset was collected from https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Original%29

Attribute Information:

  1. Sample code number: id number
  2. Clump Thickness: 1 - 10
  3. Uniformity of Cell Size: 1 - 10
  4. Uniformity of Cell Shape: 1 - 10
  5. Marginal Adhesion: 1 - 10
  6. Single Epithelial Cell Size: 1 - 10
  7. Bare Nuclei: 1 - 10
  8. Bland Chromatin: 1 - 10
  9. Normal Nucleoli: 1 - 10
  10. Mitoses: 1 - 10
  11. Class: (2 for benign, 4 for malignant)

Final Result

Accuracy: 97.32 %
Standard Deviation: 1.64 %