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