Classification of Cervical Cancer Behaviour Risk Data

Assignment Task

Question

1: Perform classification using Decision Tree, Naïve Bayes and KNN using R on Cervical Cancer Behavior Risk Data available at:

You can find more details of dataset on the UCI repository page. Perform following tasks:

Deliverables:

• Briefly describe the dataset.

• Evaluate each classifier and compare their performances. Generate confusion matrix on the test data. Calculate TP Rate, FP Rate, Precision and Recall with hand. Describe how you calculate these numbers.

• Briefly describe the output.

• Submit a zip file containing the data and R script file(s) and the document describing dataset, output results and TP, FP, precision and recall.

2: Perform Clustering Analysis on above data. Make sure to remove class attribute (ca_cervix) Deliverables:

• Visualize, evaluate, and describe the output results.

• Submit R script file.

3: Complete both examples of in-class assignment 9:

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