Table 10 Features selected after applying OneR for all the anti-patterns.

From: An empirical analysis on webservice antipattern prediction in different variants of machine learning perspective

AP1

AP2

AP3

AP4

AP5

Shannon entropy(noc)

Gini index(rfc)

Q3(wmc)

Q1(wmc)

Median(lcom)

Generalized entropy(rfc)

Hoover index(rfc)

Median(noc)

Median(noc)

Var(lcom)

Min(lcom)

Atkinson index(rfc)

Std(noc)

Q3(noc)

Q1(lcom)

Max(lcom)

Shannon entropy(rfc)

Q1(noc)

Std(cbo)

Q3(lcom)

Std(lcom)

Generalized entropy(rfc)

skewness(noc)

Q3(rfc)

skewness(lcom)

Median(ce)

Theil index(rfc)

Gini index(noc)

kurtosis(rfc)

Hoover index(lcom)

Max(moa)

Q1(lcom)

Theil index(ca)

Hoover index(lcom)

Atkinson index(lcom)

Median(cam)

skewness(cam)

Shannon entropy(mfa)

Theil index(lcom)

skewness(cam)

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