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Introduction Kapitel lesen Erstes Kapitel lesen

2013 | OriginalPaper | Buchkapitel

20. Factors That Can Affect Model Performance

verfasst von : Max Kuhn, Kjell Johnson

Erschienen in: Applied Predictive Modeling

Verlag: Springer New York

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Abstract

Several of the preceding chapters have focused on technical pitfalls of predictive models, such as over-fitting and class imbalances. Often, true success may depend on aspects of the problem that are not directly related to the model itself. This chapter discusses topics such as: Type III errors (answering the wrong question, Section 20.1), the effect of unwanted noise in the response (Section 20.2) and in the predictors (Section 20.3), the impact of discretizing continuous outcomes (Section 20.4), extrapolation (Section 20.5), and the impact of a large number of samples (Section 20.6). In the Computing Section (20.7) we illustrate the implementation of an algorithm for determining samples’ similarity to the training set. Finally, exercises are provided at the end of the chapter to solidify the concepts.

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Vorheriges Kapitel An Introduction to Feature Selection
Fußnoten
1
In marketing, Rzepakowski and Jaroszewicz (2012) defined the following classes of marketing models: “In the propensity models, historical information about purchases (or other success measures like visits) is used, while in the response models, all customers have been subject to a pilot campaign.”
 
2
Note that, in this case, the noise in the predictors is systematic and random. In other words, we can attribute the source of variation to a specific cause.
 
3
An example of this is the job scheduling data where the execution time of a job was binned into four groups. In this case, the queuing system cannot utilize estimates of job length but can use binned versions of this outcome.
 
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Metadaten
Titel
Factors That Can Affect Model Performance
verfasst von
Max Kuhn
Kjell Johnson
Copyright-Jahr
2013
Verlag
Springer New York
Buch
Applied Predictive Modeling

Print ISBN: 978-1-4614-6848-6

Electronic ISBN: 978-1-4614-6849-3

Copyright-Jahr: 2013

DOI
https://doi.org/10.1007/978-1-4614-6849-3_20

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