Research Article
An Efficient Outlier Detection with Deep Learning-Based Financial Crisis Prediction Model in Big Data Environment
Table 2
BC analysis of OALOFS-MLC technique with existing approaches on German credit dataset.
| Best cost—German credit dataset | No. Of iterations | OALO-FS | PIO-FS | ACO-FS | GWO-FS | PSO-FS |
| 1 | 0.114 | 0.148 | 0.162 | 0.173 | 0.185 | 2 | 0.124 | 0.146 | 0.153 | 0.178 | 0.182 | 3 | 0.123 | 0.149 | 0.165 | 0.171 | 0.181 | 4 | 0.124 | 0.152 | 0.150 | 0.171 | 0.189 | 5 | 0.129 | 0.153 | 0.165 | 0.184 | 0.181 | 6 | 0.130 | 0.153 | 0.166 | 0.173 | 0.198 | 7 | 0.124 | 0.140 | 0.151 | 0.182 | 0.200 | 8 | 0.131 | 0.141 | 0.172 | 0.183 | 0.198 | 9 | 0.115 | 0.144 | 0.167 | 0.171 | 0.186 | 10 | 0.129 | 0.154 | 0.168 | 0.174 | 0.184 |
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