Book chapter
Classification: Assigning Observations to Known Categories - Chapter 11
01 Jan 2020
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.
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Details
- Title
- Classification: Assigning Observations to Known Categories - Chapter 11
- Creators
- Jason S Schwarz - GoogleChris Chapman - GoogleElea McDonnell Feit
- Publisher
- Springer International Publishing
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- Marketing
- Other Identifier
- 991019189020204721