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1 Pages 370 Words

Data Mining Add in library

Referencing Styles : Chicago

Download the churn data set from D2L. Using WEKA, analyze the data using various classification

techniques. Document the methods explored, configurations made, results obtained, improvements

gained, and the final model selected. Based on the results, make actionable recommendations for what

the company should do in order to reduce churn.

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Tags: United Kingdom Saint John Computer Science Computers Data Mining University of New Brunswick DA4403 Data Mining 


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