Research Article
An Artificial Intelligence Approach to Financial Fraud Detection under IoT Environment: A Survey and Implementation
Table 4
F-measure of final classification in various ratios.
| | | Ratio | Naïve
Bayes | SVM | Regression | OneR | C4.5 | Random
Forest |
| | EM | 50:50 | 1 | 0.988 | 0.999 | 1 | 1 | 1 | | 60:40 | 1 | 0.989 | 0.999 | 1 | 1 | 1 | | 70:30 | 0.999 | 0.999 | 1 | 0.983 | 0.999 | 1 | | 80:20 | 1 | 0.994 | 1 | 1 | 1 | 1 | | 90:10 | 1 | 1 | 1 | 1 | 1 | 1 | | 95:5 | 1 | 1 | 1 | 1 | 1 | 1 | | 99:1 | 0.993 | 1 | 1 | 1 | 1 | 1 | | simpleK | 50:50 | 0.949 | 0.995 | 1 | 0.912 | 0.997 | 0.998 | | 60:40 | 0.952 | 0.996 | 1 | 0.91 | 0.998 | 0.999 | | 70:30 | 0.952 | 0.996 | 1 | 0.912 | 0.999 | 0.999 | | 80:20 | 0.908 | 0.999 | 1 | 0.906 | 0.999 | 0.999 | | 90:10 | 0.908 | 1 | 1 | 0.898 | 0.999 | 1 | | 95:5 | 1 | 1 | 1 | 1 | 1 | 1 | | 99:1 | 0.959 | 1 | 1 | 0.929 | 1 | 1 | | Farthest First | 50:50 | 0.998 | 0.999 | 1 | 0.983 | 1 | 1 | | 60:40 | 0.998 | 0.999 | 1 | 0.983 | 0.999 | 1 | | 70:30 | 0.999 | 1 | 1 | 0.983 | 0.999 | 1 | | 80:20 | 0.999 | 1 | 1 | 0.983 | 1 | 1 | | 90:10 | 0.999 | 1 | 1 | 0.984 | 1 | 1 | | 95:5 | 0.995 | 0.999 | 1 | 0.828 | 1 | 1 | | 99:1 | 0.979 | 1 | 1 | 0.736 | 1 | 1 | | XMeans | 50:50 | 0.949 | 0.995 | 1 | 0.912 | 0.997 | 0.998 | | 60:40 | 0.952 | 0.996 | 1 | 0.910 | 0.998 | 0.999 | | 70:30 | 0.996 | 1 | 1 | 0.988 | 1 | 1 | | 80:20 | 0.949 | 0.997 | 1 | 0.915 | 1 | 1 | | 90:10 | 0.959 | 1 | 1 | 0.880 | 1 | 1 | | 95:5 | 0.947 | 0.999 | 1 | 0.913 | 1 | 1 | | 99:1 | 0.999 | 1 | 1 | 0.908 | 1 | 1 | Density
Based | 50:50 | 0.956 | 0.989 | 0.997 | 0.927 | 0.998 | 0.999 | | 60:40 | 0.956 | 0.992 | 0.998 | 0.918 | 0.999 | 0.999 | | 70:30 | 0.955 | 0.993 | 0.998 | 0.919 | 0.999 | 0.999 | | 80:20 | 0.975 | 1 | 1 | 0.977 | 1 | 1 | | 90:10 | 0.974 | 1 | 0.999 | 0.975 | 1 | 1 | | 95:5 | 1 | 1 | 1 | 1 | 1 | 1 | | 99:1 | 1 | 1 | 1 | 1 | 1 | 1 |
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