Research Article
Addressing Overfitting Problem in Deep Learning-Based Solutions for Next Generation Data-Driven Networks
Table 1
Comparison of error rate (%) and retention probability of 4 methods in MNIST data set.
| Retention probability | 0.1 | 0.2 | 0.3 | 0.4 | 0.5 | 0.6 | 0.7 | 0.8 | 0.9 |
| ICNN | 6.36 | 6.36 | 6.36 | 6.36 | 6.36 | 6.36 | 6.36 | 6.36 | 6.36 | H_Dropout | 7.27 | 6.85 | 6.50 | 6.32 | 6.30 | 6.31 | 6.38 | 6.40 | 6.51 | SP | 2.23 | 2.17 | 2.10 | 2.08 | 2.13 | 2.26 | 2.31 | 2.37 | 2.49 | MDWS | 2.21 | 2.15 | 2.03 | 1.95 | 1.63 | 1.88 | 2.19 | 2.26 | 2.27 |
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