A Benchmark of Prevalent Feature Selection Algorithms on a Diverse Set of Classification Problems

A Benchmark of Prevalent Feature Selection Algorithms on a Diverse Set of Classification Problems

Feature selection is the process of automatically selecting important features from data. It is an essential part of machine learning, artificial intelligence, data mining, and modelling in general. There are many feature selection algorithms available and the appropriate choice can be difficult. Th...

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Bibliographic Details
Main Authors: Anette, Kniberg, Nokto, David
Format: Others
Language:English
Published: KTH, Medicinteknik och hälsosystem 2018
Subjects:
feature selection
variable selection
attribute selection
machine learning
data mining
benchmark
classification
variabelselektion
maskininlärning
datautvinning
klassificering
Medical Engineering
Medicinteknik
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-228614

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-228614

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