# Disease Classification on NIFD (50-50 train-test) Source: [Disease Classification on NIFD (50-50 train-test)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:31:35.400Z Evaluation of Disease Classification performance using the 50-50 train-test split of the NIFD dataset, measured by Accuracy, Precision, Recall, F1, and AUC. 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) | NIFD (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 | 86 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | ChebNet | 85.3 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | GAT | 85.1 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | GCN | 77 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | AE-GCN | 73 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | Random Forest | 72.4 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | MLPClassifier | 72.1 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | SVC | 71.7 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | XGBoost | 71.3 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | GAT | 68.6 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | GCN | 66.2 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | ARMA | 64.9 | Not recorded | 69705d5ee25ad2fa9d1ece39 | | ChebNet | 62.4 | Not recorded | 69705d5ee25ad2fa9d1ece39 | ### ARMA Accuracy: 86. Result ID: 6997b1965698665ec407c6bd. [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: 85.3. Result ID: 6997b1965698665ec407c6bb. [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: 85.1. Result ID: 6997b1965698665ec407c6b9. [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: 77. Result ID: 6997b1965698665ec407c6b7. [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. ### AE-GCN Accuracy: 73. Result ID: 6997b1965698665ec407c6b5. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Train-Test Split":"50-50","Cross-Validation":"20-fold"}. This record does not assert independent reproduction. ### Random Forest Accuracy: 72.4. Result ID: 6997b1965698665ec407c6b4. [Reporting paper]() Recorded evaluation configuration: {"Train-Test Split":"50-50","Cross-Validation":"20-fold"}. This record does not assert independent reproduction. ### MLPClassifier Accuracy: 72.1. Result ID: 6997b1965698665ec407c6b3. [Reporting paper]() Recorded evaluation configuration: {"Train-Test Split":"50-50","Cross-Validation":"20-fold"}. This record does not assert independent reproduction. ### SVC Accuracy: 71.7. Result ID: 6997b1965698665ec407c6b1. [Reporting paper]() Recorded evaluation configuration: {"Train-Test Split":"50-50","Cross-Validation":"20-fold"}. This record does not assert independent reproduction. ### XGBoost Accuracy: 71.3. Result ID: 6997b1965698665ec407c6b2. [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. ### GAT Accuracy: 68.6. Result ID: 6997b1965698665ec407c6b8. [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. ### GCN Accuracy: 66.2. Result ID: 6997b1965698665ec407c6b6. [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. ### ARMA Accuracy: 64.9. Result ID: 6997b1965698665ec407c6bc. [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. ### ChebNet Accuracy: 62.4. Result ID: 6997b1965698665ec407c6ba. [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.