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Data mining HM

Read the Kotu and Deshpande (2014) textbook from page 99 to page 134 and use your own language to answer the following questions. (Each question is worth 1 point)
Explain how the k-NN model works.
Explain how k-NN model handles categorical and ordinal attributes.
Explain lazy learner.
Explain how a naive bayesian model works.
Explain how to remedy the issue of “incomplete training set” for the naive bayesian model.
Explain how to prevent the issue of “attribute independence” in the naive bayesian model. PLEASE Read the requierd pages and and answer the questions using your own words