Classification: Assigning Observations to Known Categories

Jason S. Schwarz, Chris Chapman and Elea Feit
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Jason S. Schwarz: Google
Chris Chapman: Google

Chapter Chapter 11 in Python for Marketing Research and Analytics, 2020, pp 243-261 from Springer

Abstract: Abstract In this chapter, we will explore supervised learning methods. Unlike with clustering, generally, the value of a supervised model output is inherent in the framing of the question. This makes interpretation easier, but it requires an outcome variable to have a strong relationship with its indicator variables, and benefits from data that are well structured and clean. With statistical modeling, people often say “garbage in, garbage out,” meaning that even a very sophisticated model will not be able to produce reliable results if the data are not high quality or there is no actual relationship between input and output variables.

Date: 2020
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DOI: 10.1007/978-3-030-49720-0_11

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