Skip to main content

Table 2 Classification of the most important quality measures for emerging pattern mining

From: Study on the use of different quality measures within a multi-objective evolutionary algorithm approach for emerging pattern mining in big data environments

Quality measure

 

Comprehensibility

Generality

Reliability

Interest

TPR (3)

True positive rate

 

X

  

SupDiff (4)

Support difference

 

X

X

 

WRAcc (5)

Weighted relative accuracy

 

X

X

X

Jac (6)

Jacard index

 

X

X

X

GR (7)

Growth rate

  

X

 

Conf (8)

Confidence

  

X

 

FPR (9)

False positive rate

  

X

 

Gmean (10)

Geometric mean TPR-TNR

 

X

X

 

n r

Number of rules

X

   

n v

Number of variables

X