Use the Naïve Bayes methodology to develop a classification model for the Diagnosis.
Important: make sure your categories are represented by the “factor” data type in R and delete the rows with missing values. Use 30% test 70% training data
Features Domain
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Sample code number id number
F1. Clump Thickness 1 - 10
F2. Uniformity of Cell Size 1 - 10
F3. Uniformity of Cell Shape 1 - 10
F4. Marginal Adhesion 1 - 10
F5. Single Epithelial Cell Size 1 - 10
F6. Bare Nuclei 1 - 10
F7. Bland Chromatin 1 - 10
F8. Normal Nucleoli 1 - 10
F9. Mitoses 1 - 10
Diagnosis Class: (2 for benign, 4 for malignant)
