Encyclopedia of Machine Learning

2010 Edition
| Editors: Claude Sammut, Geoffrey I. Webb

Precision

  • Kai Ming Ting
Reference work entry
DOI: https://doi.org/10.1007/978-0-387-30164-8_651

Synonyms

Definition

Precision is defined as a ratio of true positives (TP) and the total number of positives predicted by a model. This is defined with reference to a special case of the  confusion matrix, with two classes; one designated the positive class, and the other the negative class, as indicated in Table  1.
Precision. Table 1

The outcomes of classification into positive and negative classes

 

Assigned Class

 

Positive

Negative

 

Actual Class

Positive

True Positive (TP)

False Negative (FN)

 

Negative

False Positive (FP)

True Negative (TN)

 
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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Kai Ming Ting
    • 1
  1. 1.Monash UniversityVictoriaAustralia