About: Multifactor dimensionality reduction

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Multifactor dimensionality reduction (MDR) is a statistical approach, also used in machine learning automatic approaches, for detecting and characterizing combinations of attributes or independent variables that interact to influence a dependent or class variable. MDR was designed specifically to identify nonadditive interactions among discrete variables that influence a binary outcome and is considered a nonparametric and model-free alternative to traditional statistical methods such as logistic regression.

Attributes	Values
rdf:type	yago:WikicatClassificationAlgorithms yago:Abstraction100002137 yago:Act100030358 yago:Activity100407535 yago:Algorithm105847438 yago:Event100029378 yago:Procedure101023820 yago:PsychologicalFeature100023100 yago:YagoPermanentlyLocatedEntity programming language yago:Rule105846932
rdfs:label	Multifactor dimensionality reduction (en)
rdfs:comment	Multifactor dimensionality reduction (MDR) is a statistical approach, also used in machine learning automatic approaches, for detecting and characterizing combinations of attributes or independent variables that interact to influence a dependent or class variable. MDR was designed specifically to identify nonadditive interactions among discrete variables that influence a binary outcome and is considered a nonparametric and model-free alternative to traditional statistical methods such as logistic regression. (en)
dcterms:subject	Classification algorithms Data mining Dimension reduction
Wikipage page ID	3259720 (xsd:integer)
Wikipage revision ID	1087610035 (xsd:integer)
Link from a Wikipage to another Wikipage	Epistasis Naive Bayes classifier Nonparametric Binary numeral system Bladder cancer Breast cancer Hypertension Pharmacology Resampling (statistics) Decision tree learning Interaction Classification algorithms Genetic programming Genome-wide association study Cross-validation (statistics) Logical operator Machine learning Feature engineering P-value Pancreatic cancer Prostate cancer Autism Tuberculosis Data mining Logistic regression Exclusive OR Nonlinear Cardiovascular disease Dimensionality reduction Attribute (computing) Atrial fibrillation Data mining Big data Dimension reduction Independent variable Obesity Open-source Discrete random variable Multilinear subspace learning Overfitting Stochastic search Neural networks High Performance Computing dbr:Sourceforge:projects/wekacg/
Link from a Wikipage to an external page	https://web.archive.org/web/20190502091900/http:/epistasis.org/ http://www.ssg.uab.edu/gmdr/ https://github.com/EpistasisLab/scikit-mdr https://cran.r-project.org/web/packages/MDR/index.html https://cran.r-project.org/web/packages/mbmdr/index.html
sameAs	Multifactor dimensionality reduction Multifactor dimensionality reduction Multifactor dimensionality reduction Multifactor dimensionality reduction
dbp:wikiPageUsesTemplate	dbt:Reflist dbt:Use_dmy_dates
has abstract	Multifactor dimensionality reduction (MDR) is a statistical approach, also used in machine learning automatic approaches, for detecting and characterizing combinations of attributes or independent variables that interact to influence a dependent or class variable. MDR was designed specifically to identify nonadditive interactions among discrete variables that influence a binary outcome and is considered a nonparametric and model-free alternative to traditional statistical methods such as logistic regression. The basis of the MDR method is a constructive induction or feature engineering algorithm that converts two or more variables or attributes to a single attribute. This process of constructing a new attribute changes the representation space of the data. The end goal is to create or discover a representation that facilitates the detection of nonlinear or nonadditive interactions among the attributes such that prediction of the class variable is improved over that of the original representation of the data. (en)
gold:hypernym	Approach
prov:wasDerivedFrom	wikipedia-en:Multifactor_dimensionality_reduction?oldid=1087610035&ns=0
page length (characters) of wiki page	38959 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:Multifactor_dimensionality_reduction
is Link from a Wikipage to another Wikipage of	Epistasis Feature extraction Jason H. Moore Dimensionality reduction MDR List of statistics articles Examples of data mining Outline of machine learning
is Wikipage disambiguates of	MDR
is known for of	Jason H. Moore
is known for of	Jason H. Moore
is foaf:primaryTopic of	wikipedia-en:Multifactor_dimensionality_reduction

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