Final_Spring2006 - STA 6714 Final Project Report Due Date:...

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STA 6714 Final Project Report Due Date: April 28, 2006 Final Presentation: April 26, 2006 Most data-mining projects always start from data preparation. However, the effectiveness of data preparation process can not be confirmed without adequate model building. In addition, data preparation is not the same for all type of modeling techniques. This project is to test your understanding on data preparation, however, it is necessary to ask you to build at least one predict model to demo that your data preparation steps are effective for the selected modeling technique. Although most of you do not have enough knowledge on model building tools such as neural network, logistic regression, or decision trees, you should understand data preparation through this course. With the fact that you do not have enough model-building knowledge, this project will not be graded by the effective model building alone. Instead, this project will be graded according to the performance on data preparation. The data used in this project came from the 2006 Pacific KDD. This data set includes 251 variables and 18000 observations. The target is a binary variable, “Customer_type”, with two values “3G” (Yes) and “2G” (No). The goal is to select a model that can catch
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This note was uploaded on 10/04/2011 for the course STA 6714 taught by Professor Staff during the Spring '11 term at University of Central Florida.

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Final_Spring2006 - STA 6714 Final Project Report Due Date:...

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