Research Article
An Artificial Intelligence Approach for Groutability Estimation Based on Autotuning Support Vector Machine
Table 5
The result comparison for AI methods using classification accuracy rates (%).
| Fold | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | Average |
| GE-SVMAT | | | | | | | | | | | | Train | 91.7 | 92.6 | 92.6 | 93.1 | 92.6 | 95.4 | 92.6 | 93.5 | 93.5 | 92.1 | 93.0 | Test | 95.8 | 91.7 | 95.8 | 91.7 | 91.7 | 91.7 | 91.7 | 91.7 | 91.7 | 100.0 | 93.3 | ANN | | | | | | | | | | | | Train | 93.5 | 93.5 | 93.1 | 93.1 | 90.3 | 92.6 | 92.6 | 91.2 | 92.1 | 91.2 | 92.3 | Test | 91.7 | 91.7 | 87.5 | 87.5 | 83.3 | 91.7 | 87.5 | 83.3 | 87.5 | 100.0 | 89.2 | SVM | | | | | | | | | | | | Train | 99.5 | 100.0 | 99.5 | 99.1 | 99.5 | 100.0 | 99.5 | 99.5 | 100.0 | 99.5 | 99.6 | Test | 70.8 | 83.3 | 75.0 | 58.3 | 62.5 | 75.0 | 83.3 | 70.8 | 75.0 | 79.2 | 73.3 |
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