Story points | 8 |
Tags | logistic-regression sklearn |
Hard Prerequisites | |
IMPORTANT: Please review these prerequisites, they include important information that will help you with this content. | |
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Predict the class of breast cancer (malignant or ‘bad’ versus benign or ‘good’) from the features of images taken from breast samples. Ten biological attributes of the cancer cell nuclei have been calculated from the images, as described below:
Attribute | Domain |
---|---|
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) |
The data can be found here.
At a minimum, you should complete these steps: