Research Article
An Efficient Outlier Detection with Deep Learning-Based Financial Crisis Prediction Model in Big Data Environment
Table 3
BC analysis of OALOFS-MLC technique with existing approaches on Australian credit dataset.
| Best cost—Australian credit dataset | No. Of iterations | OALO-FS | PIO-FS | ACO-FS | GWO-FS | PSO-FS |
| 1 | 0.053 | 0.082 | 0.085 | 0.096 | 0.105 | 2 | 0.059 | 0.078 | 0.090 | 0.096 | 0.110 | 3 | 0.054 | 0.075 | 0.083 | 0.093 | 0.096 | 4 | 0.055 | 0.065 | 0.089 | 0.095 | 0.110 | 5 | 0.050 | 0.069 | 0.083 | 0.093 | 0.102 | 6 | 0.053 | 0.073 | 0.082 | 0.100 | 0.108 | 7 | 0.058 | 0.066 | 0.086 | 0.099 | 0.106 | 8 | 0.051 | 0.082 | 0.086 | 0.096 | 0.107 | 9 | 0.052 | 0.066 | 0.085 | 0.098 | 0.109 | 10 | 0.059 | 0.071 | 0.081 | 0.097 | 0.106 |
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