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  • Artikel: DFG Deutsche Nationallizenzen  (2)
  • Decision trees  (2)
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  • Artikel: DFG Deutsche Nationallizenzen  (2)
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  • 1
    Digitale Medien
    Digitale Medien
    Bias in information-based measures in decision tree induction (1994)
    Springer
    Machine learning 15 (1994), S. 321-329 
    Details
    ISSN: 0885-6125
    Schlagwort(e): Decision trees ; noise ; induction ; unbiased attribute selection ; information-based measures
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Informatik
    Notizen: Abstract A fresh look is taken at the problem of bias in information-based attribute selection measures, used in the induction of decision trees. The approach uses statistical simulation techniques to demonstrate that the usual measures such as information gain, gain ratio, and a new measure recently proposed by Lopez de Mantaras (1991) are all biased in favour of attributes with large numbers of values. It is concluded that approaches which utilise the chi-square distribution are preferable because they compensate automatically for differences between attributes in the number of levels they take.
    Materialart: Digitale Medien
    URL: http://dx.doi.org/10.1007/BF00993349
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Artikel (Nationallizenzen)
    Volltext
  • 2
    Digitale Medien
    Digitale Medien
    Technical Note: Bias in Information-Based Measures in Decision Tree Induction (1994)
    Springer
    Machine learning 15 (1994), S. 321-329 
    Details
    ISSN: 0885-6125
    Schlagwort(e): Decision trees ; noise ; induction ; unbiased attribute selection ; information-based measures
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Informatik
    Notizen: Abstract A fresh look is taken at the problem of bias in information-based attribute selection measures, used in the induction of decision trees. The approach uses statistical simulation techniques to demonstrate that the usual measures such as information gain, gain ratio, and a new measure recently proposed by Lopez de Mantaras (1991) are all biased in favour of attributes with large numbers of values. It is concluded that approaches which utilise the chi-square distribution are preferable because they compensate automatically for differences between attributes in the number of levels they take.
    Materialart: Digitale Medien
    URL: http://dx.doi.org/10.1023/A:1022694010754
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Artikel (Nationallizenzen)
    Volltext
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