# Disease Classification on ADNI CN vs MCI 50-50 (train test) Source: [Disease Classification on ADNI CN vs MCI 50-50 (train test)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:31:35.365Z Evaluation of disease classification performance on the ADNI dataset, specifically comparing Cognitively Normal (CN) subjects against Mild Cognitive Impairment (MCI) subjects using a 50-50 train/test split. 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 MCI 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 | 90.4 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | ChebNet | 89.9 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | GCN | 88.7 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | GAT | 88.6 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | XGBoost | 80.7 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | Random Forest | 80.4 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | ARMA | 80 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | SVC | 79.6 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | MLPClassifier | 79.5 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | AE-GCN | 79.3 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | GCN | 75.4 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | ChebNet | 74.8 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | GAT | 73 | Not recorded | 69705d5ee25ad2fa9d1ece39 | ### ARMA Accuracy: 90.4. Result ID: 6997b1965698665ec407c6a3. [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: 89.9. Result ID: 6997b1965698665ec407c6a1. [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: 88.7. Result ID: 6997b1965698665ec407c69d. [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: 88.6. Result ID: 6997b1965698665ec407c69f. [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. ### XGBoost Accuracy: 80.7. Result ID: 6997b1965698665ec407c698. [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: 80.4. Result ID: 6997b1965698665ec407c69a. [Reporting paper]() Recorded evaluation configuration: {"Train-Test Split":"50-50","Cross-Validation":"20-fold"}. This record does not assert independent reproduction. ### ARMA Accuracy: 80. Result ID: 6997b1965698665ec407c6a2. [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. ### SVC Accuracy: 79.6. Result ID: 6997b1965698665ec407c697. [Reporting paper]() Recorded evaluation configuration: {"Train-Test Split":"50-50","Cross-Validation":"20-fold"}. This record does not assert independent reproduction. ### MLPClassifier Accuracy: 79.5. Result ID: 6997b1965698665ec407c699. [Reporting paper]() Recorded evaluation configuration: {"Train-Test Split":"50-50","Cross-Validation":"20-fold"}. This record does not assert independent reproduction. ### AE-GCN Accuracy: 79.3. Result ID: 6997b1965698665ec407c69b. [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: 75.4. Result ID: 6997b1965698665ec407c69c. [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: 74.8. Result ID: 6997b1965698665ec407c6a0. [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. ### GAT Accuracy: 73. Result ID: 6997b1965698665ec407c69e. [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.