CS513 – Use the Naïve Bayes methodology to develop a classification model for the (Solution)

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Description

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
— —————————————–
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)

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