Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner
3rd Edition
ISBN: 9781118729274
Author: Galit Shmueli, Peter C. Bruce, Nitin R. Patel
Publisher: WILEY
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Chapter 5, Problem 3P
Explanation of Solution
Given: A startup company, FiscalNote which is founded by an entrepreneur from Washington, DC. The company makes use of the data mining techniques and machine learning to make predictions if the legislation will pass or not in the U.S Congress and US state legislatures.
To find:Â The type of misclassifications and the use of overall accuracy as the metric by using some research on the introduced bills in the US congress and passage rates. Also, discuss other possible metrics as well as the potential role of propensities.
Solution:
By using data mining as well as machine learning techniques, the possible types of misclassifications will be of two types as given below...
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Chapter 5 Solutions
Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner
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