Relationships between depth and number of misclassifications for decision trees

Igor Chikalov; Shahid Hussain; Mikhail Moshkov

doi:10.1007/978-3-642-21881-1_45

Relationships between depth and number of misclassifications for decision trees

Igor Chikalov, Shahid Hussain, Mikhail Moshkov

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

16 Scopus citations

Abstract

This paper describes a new tool for the study of relationships between depth and number of misclassifications for decision trees. In addition to the algorithm the paper also presents the results of experiments with three datasets from UCI Machine Learning Repository [3]. © 2011 Springer-Verlag.

Original language	English (US)
Title of host publication	Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Publisher	Springer Nature
Pages	286-292
Number of pages	7
ISBN (Print)	9783642218804
DOIs	https://doi.org/10.1007/978-3-642-21881-1_45
State	Published - 2011

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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10.1007/978-3-642-21881-1_45

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title = "Relationships between depth and number of misclassifications for decision trees",

abstract = "This paper describes a new tool for the study of relationships between depth and number of misclassifications for decision trees. In addition to the algorithm the paper also presents the results of experiments with three datasets from UCI Machine Learning Repository [3]. {\textcopyright} 2011 Springer-Verlag.",

author = "Igor Chikalov and Shahid Hussain and Mikhail Moshkov",

note = "KAUST Repository Item: Exported on 2020-10-01",

year = "2011",

doi = "10.1007/978-3-642-21881-1_45",

language = "English (US)",

isbn = "9783642218804",

pages = "286--292",

booktitle = "Rough Sets, Fuzzy Sets, Data Mining and Granular Computing",

publisher = "Springer Nature",

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T1 - Relationships between depth and number of misclassifications for decision trees

AU - Chikalov, Igor

AU - Hussain, Shahid

AU - Moshkov, Mikhail

N1 - KAUST Repository Item: Exported on 2020-10-01

PY - 2011

Y1 - 2011

N2 - This paper describes a new tool for the study of relationships between depth and number of misclassifications for decision trees. In addition to the algorithm the paper also presents the results of experiments with three datasets from UCI Machine Learning Repository [3]. © 2011 Springer-Verlag.

AB - This paper describes a new tool for the study of relationships between depth and number of misclassifications for decision trees. In addition to the algorithm the paper also presents the results of experiments with three datasets from UCI Machine Learning Repository [3]. © 2011 Springer-Verlag.

UR - http://hdl.handle.net/10754/564338

UR - http://link.springer.com/10.1007/978-3-642-21881-1_45

UR - http://www.scopus.com/inward/record.url?scp=79960296458&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-21881-1_45

DO - 10.1007/978-3-642-21881-1_45

M3 - Conference contribution

SN - 9783642218804

SP - 286

EP - 292

BT - Rough Sets, Fuzzy Sets, Data Mining and Granular Computing

PB - Springer Nature

ER -

Relationships between depth and number of misclassifications for decision trees

Abstract

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