Research Article
Diagnosis of Alzheimer’s Disease with Extreme Learning Machine on Whole-Brain Functional Connectivity
Table 2
10 times 10-fold cross-validation results for MCI and CN classification.
| | No. of experiments | ELM classifiers | Optimal ELM classifiers | Parallel ELM classifiers | | Amount | Mean accuracy ± STD | Worst accuracy (%) | Amount | Mean Accuracy ± STD | Worst accuracy (%) | Amount | Mean accuracy ± STD | Worst accuracy (%) |
| | 1 | 2641 | 94.69% ± 4.97% | 75.00 | 717 | 94.89% ± 5.01% | 75.00 | 10 | 94.5% ± 4.97% | 85.00 | | 2 | 2164 | 91.23% ± 6.37% | 70.00 | 631 | 91.09% ± 6.18% | 75.00 | 10 | 95.00% ± 5.27% | 85.00 | | 3 | 1924 | 93.89% ± 5.92% | 75.00 | 562 | 93.38% ± 5.97% | 75.00 | 10 | 95.00% ± 5.27% | 85.00 | | 4 | 2096 | 94.60% ± 5.01% | 70.00 | 634 | 94.58% ± 4.85% | 75.00 | 10 | 94.50% ± 4.97% | 85.00 | | 5 | 1984 | 94.03% ± 5.31% | 75.00 | 578 | 93.61% ± 5.62% | 75.00 | 10 | 95.50% ± 4.97% | 85.00 | | 6 | 2016 | 95.17% ± 5.08% | 75.00 | 556 | 94.62% ± 5.31% | 75.00 | 10 | 96.00% ± 3.94% | 90.00 | | 7 | 3098 | 94.86% ± 4.78% | 80.00 | 853 | 94.63% ± 4.89% | 80.00 | 10 | 95.00% ± 4.74% | 85.00 | | 8 | 2710 | 92.05% ± 6.07% | 70.00 | 855 | 91.50% ± 5.96% | 80.00 | 10 | 94.50% ± 5.99% | 85.00 | | 9 | 2872 | 96.01% ± 4.80% | 70.00 | 797 | 96.22% ± 4.90% | 70.00 | 10 | 96.00% ± 4.59% | 85.00 | | 10 | 2010 | 94.64% ± 5.20% | 75.00 | 595 | 94.44% ± 5.16% | 75.00 | 10 | 94.50% ± 5.99% | 85.00 | | Mean | 2351.5 | 94.12% ± 5.35% | 73.50 | 677.8 | 93.90% ± 5.39% | 75.50 | 10 | 95.05% ± 5.07% | 85.50 |
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