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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Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner

Ch. 5 - Prob. 1P Ch. 5 - Prob. 2P Ch. 5 - Prob. 3P Ch. 5 - Consider Figure 5.16, the decile-wise lift chart...Ch. 5 - Prob. 5P Ch. 5 - Prob. 6P Ch. 5 - Prob. 7P

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