Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: http://hdl.handle.net/10419/77309
Autoren: 
Weihs, Claus
Sondhauss, Ursula
Datum: 
2000
Reihe/Nr.: 
Technical Report 2000,24
Zusammenfassung: 
When comparing methods for classification, often the rating relies on their prediction accuracy alone. One reason for this is that this is the aspect that can be most easily measured. Yet, often one wants to learn more about the problem than only how to predict. The interpretation of the relation of predictors and classes is often of high interest, but an unique accepted general formalization of interpretability relevant for many classification problems and measurable at least for a wide range of different classification methods does not exist, and - as we believe - is not really what is needed. Instead of trying to measure interpretability as such, standardizing and formalizing typical ways to interpret classification rules and finding performance criteria for this kind of outcomes leads to ratings of classification methods w.r.t. interpretability that can be tailored for the specific problem at hand and the subjective preferences of addressees of results. In this short paper, three results of this kind stemming from a comparative study of various classification methods applied to the classification of German business cycle phases based on 13 economic variables are exemplarily discussed .
Schlagwörter: 
classification method
performance measures
business cycle analysis
Dokumentart: 
Working Paper
Nennungen in sozialen Medien:

Datei(en):
Datei
Größe
505.91 kB
250.24 kB





Publikationen in EconStor sind urheberrechtlich geschützt.