Table 1 GA Selected features
From: A machine learning based credit card fraud detection using the GA algorithm for feature selection
Attribute vector | Vector length | Attribute list |
|---|---|---|
\(v_1\) | 18 | V1, V5, V7, V8, V11,V13, V14, V15, V16, V17, V18, V19, V20, V21, V22, V23, V24, Amount |
\(v_2\) | 9 | V1, V6, V13, V16, V17, V22, V23, V28, Amount |
\(v_3\) | 13 | V2, V11, V12, V13, V15, V16, V17, V18,V20, V21, V24, V26, Amount |
\(v_4\) | 9 | V2, V7, V10, V13,V15, V17, V19, V28, Amount |
\(v_5\) | 13 | Time, V1, V7, V8, V9, V11, V12, V14, V15, V22, V27, V28, Amount |