# Disease Classification on ADNI CN vs AD (50-50 train test) Source: [Disease Classification on ADNI CN vs AD (50-50 train test)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:31:35.381Z Evaluation of Disease Classification performance distinguishing between Cognitively Normal (CN) and Alzheimer's Disease (AD) subjects using a 50-50 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 | Disease Classification | | Dataset (including any stated split) | ADNI CN vs AD (50-50 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 | 90.9 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | ChebNet | 90.3 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | GAT | 89.6 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | GCN | 80.4 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | MLPClassifier | 80.2 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | SVC | 79.6 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | ARMA | 79.3 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | XGBoost | 78.4 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | Random Forest | 78.2 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | GAT | 77.5 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | ChebNet | 76.3 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | AE-GCN | 72.6 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | GCN | 72.2 | Not recorded | 69705d5ee25ad2fa9d1ece39 | ### ARMA Accuracy: 90.9. Result ID: 6997b1965698665ec407c6b0. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Train-Test Split":"50-50","Cross-Validation":"20-fold","Reconstruction":true}. This record does not assert independent reproduction. ### ChebNet Accuracy: 90.3. Result ID: 6997b1965698665ec407c6ae. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Train-Test Split":"50-50","Cross-Validation":"20-fold","Reconstruction":true}. This record does not assert independent reproduction. ### GAT Accuracy: 89.6. Result ID: 6997b1965698665ec407c6ac. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Train-Test Split":"50-50","Cross-Validation":"20-fold","Reconstruction":true}. This record does not assert independent reproduction. ### GCN Accuracy: 80.4. Result ID: 6997b1965698665ec407c6aa. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Train-Test Split":"50-50","Cross-Validation":"20-fold","Reconstruction":true}. This record does not assert independent reproduction. ### MLPClassifier Accuracy: 80.2. Result ID: 6997b1965698665ec407c6a6. [Reporting paper]() Recorded evaluation configuration: {"Train-Test Split":"50-50","Cross-Validation":"20-fold"}. This record does not assert independent reproduction. ### SVC Accuracy: 79.6. Result ID: 6997b1965698665ec407c6a4. [Reporting paper]() Recorded evaluation configuration: {"Train-Test Split":"50-50","Cross-Validation":"20-fold"}. This record does not assert independent reproduction. ### ARMA Accuracy: 79.3. Result ID: 6997b1965698665ec407c6af. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Train-Test Split":"50-50","Cross-Validation":"20-fold","Reconstruction":false}. This record does not assert independent reproduction. ### XGBoost Accuracy: 78.4. Result ID: 6997b1965698665ec407c6a5. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Train-Test Split":"50-50","Cross-Validation":"20-fold"}. This record does not assert independent reproduction. ### Random Forest Accuracy: 78.2. Result ID: 6997b1965698665ec407c6a7. [Reporting paper]() Recorded evaluation configuration: {"Train-Test Split":"50-50","Cross-Validation":"20-fold"}. This record does not assert independent reproduction. ### GAT Accuracy: 77.5. Result ID: 6997b1965698665ec407c6ab. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Train-Test Split":"50-50","Cross-Validation":"20-fold","Reconstruction":false}. This record does not assert independent reproduction. ### ChebNet Accuracy: 76.3. Result ID: 6997b1965698665ec407c6ad. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Train-Test Split":"50-50","Cross-Validation":"20-fold","Reconstruction":false}. This record does not assert independent reproduction. ### AE-GCN Accuracy: 72.6. Result ID: 6997b1965698665ec407c6a8. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Train-Test Split":"50-50","Cross-Validation":"20-fold"}. This record does not assert independent reproduction. ### GCN Accuracy: 72.2. Result ID: 6997b1965698665ec407c6a9. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Train-Test Split":"50-50","Cross-Validation":"20-fold","Reconstruction":false}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.