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Phi coefficient

In statistics, the phi coefficient, also known as the mean square contingency coefficient or Yule coefficient of correlation and commonly denoted by φ or rφ, is a measure of association between two binary variables. In machine learning and bioinformatics, it is known as the Matthews correlation coefficient (MCC). In meteorology and elsewhere, it is…

Machine learning, Definition & Overview

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Overview

Definition

Machine learning

Advanced semantic analysis

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Map overview Semantic statistics

Phi coefficient

Nodes36
Edges35
Triples6
Avg. degree1.94
Density0.055556
Components1

How this topic connects Entity context

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Phi coefficient

Top relations

related to Definition · 3
Phi coefficient → In, Pearson, Two
related to Maximum values · 3
Phi coefficient → In, Pearson, The

Important terminology Word statistics

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Important terminology

coefficient correlation two matthews variables mcc confusion matrix binary measure classes phi association predictions case true value formula also table

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Phi coefficientrelated to DefinitionPearson0.60section
Phi coefficientrelated to DefinitionTwo0.60section
Phi coefficientrelated to DefinitionIn0.60section
Phi coefficientrelated to Maximum valuesIn0.60section
Phi coefficientrelated to Maximum valuesPearson0.60section
Phi coefficientrelated to Maximum valuesThe0.60section

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    Min side: 3
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