# CN vs AD Classification on ADNI (90-10 train-test) Source: [CN vs AD Classification on ADNI (90-10 train-test)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:31:35.442Z Evaluation of binary classification performance distinguishing between Cognitively Normal (CN) and Alzheimer's Disease (AD) subjects using a 90-10 train/test split of the ADNI dataset. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | CN vs AD Classification | | Dataset (including any stated split) | ADNI (90-10 train-test) | | Metric | Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 13 of 13 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [Accuracy](): Higher is better; unit: PERCENT. - [Precision](): Higher is better; unit: PERCENT. - [Recall](): Higher is better; unit: PERCENT. - [F1 Score](): Higher is better; unit: PERCENT. - [AUC](): Higher is better; unit: PERCENT. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | ARMA (Recon) | 99.7 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | ChebNet (Recon) | 99.4 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | GAT (Recon) | 98.3 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | SVC | 86.3 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | GCN (Recon) | 86.3 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | MLPClassifier | 85.9 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | XGBoost | 82.4 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | ARMA | 82.2 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | Random Forest | 82 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | AE-GCN | 80.8 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | ChebNet | 78.3 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | GAT | 75.7 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | GCN | 71.3 | Not recorded | 69705d5ee25ad2fa9d1ece39 | ### ARMA (Recon) Accuracy: 99.7. Result ID: 6997b1965698665ec407c6d7. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Variant":"Reconstruction"}. This record does not assert independent reproduction. ### ChebNet (Recon) Accuracy: 99.4. Result ID: 6997b1965698665ec407c6d5. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Variant":"Reconstruction"}. This record does not assert independent reproduction. ### GAT (Recon) Accuracy: 98.3. Result ID: 6997b1965698665ec407c6d3. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Variant":"Reconstruction"}. This record does not assert independent reproduction. ### SVC Accuracy: 86.3. Result ID: 6997b1965698665ec407c6cb. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### GCN (Recon) Accuracy: 86.3. Result ID: 6997b1965698665ec407c6d1. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Variant":"Reconstruction"}. This record does not assert independent reproduction. ### MLPClassifier Accuracy: 85.9. Result ID: 6997b1965698665ec407c6cd. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### XGBoost Accuracy: 82.4. Result ID: 6997b1965698665ec407c6cc. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### ARMA Accuracy: 82.2. Result ID: 6997b1965698665ec407c6d6. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### Random Forest Accuracy: 82. Result ID: 6997b1965698665ec407c6ce. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### AE-GCN Accuracy: 80.8. Result ID: 6997b1965698665ec407c6cf. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### ChebNet Accuracy: 78.3. Result ID: 6997b1965698665ec407c6d4. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### GAT Accuracy: 75.7. Result ID: 6997b1965698665ec407c6d2. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### GCN Accuracy: 71.3. Result ID: 6997b1965698665ec407c6d0. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. Page 1 of 1. 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