Average test accuracies of models in NC vs. MCI vs. AD classification robustness tests with Gaussian noise (mean = 0) at varying standard deviations (SD) using the ADNI multimodal dataset.
<p>The baseline results correspond to those in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0315809#pone.0315809.t007" target="_blank">Table 7</a>, and Gaussian noise was applied to the standardized non-imaging feature vectors of the test dataset, which were standardized using the training dataset. The models were evaluated using stratified nested 5 × 4-fold CV.</p> <p>(PDF)</p>
Publication Details
- Journal
- Figshare
- Published
- 2024-12-23
- DOI
- https://doi.org/10.1371/journal.pone.0315809.s003
- Primary Topic
- Explainable Artificial Intelligence (XAI)
- Type
- article
- Field-Weighted Citation Impact
- 0.00