# Cardiovascular Disease Detection on UCI Heart Disease (5-fold stratified CV) Source: [Cardiovascular Disease Detection on UCI Heart Disease (5-fold stratified CV)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:32:25.290Z Evaluation of cardiovascular disease detection performance on the UCI Heart Disease dataset using a 5-fold stratified cross-validation setup, reporting Accuracy, F1 (Macro), ROC-AUC, and PR-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 | Cardiovascular Disease Detection | | Dataset (including any stated split) | UCI Heart Disease (5-fold stratified CV) | | Metric | Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 17 of 17 | | 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. - [F1 (Macro)](): Higher is better; unit: PERCENT. - [ROC-AUC](): Higher is better; unit: PERCENT. - [PR-AUC](): Higher is better; unit: PERCENT. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | Residual GRU+MHSA | 86.1 | Not recorded | 6942392c4561469362850708 | | LSTM-Transformer | 85.8 | Not recorded | 6942392c4561469362850708 | | GaussianNB | 85.5 | Not recorded | 6942392c4561469362850708 | | DeepMLP | 85.5 | Not recorded | 6942392c4561469362850708 | | CNN-LSTM | 85.5 | Not recorded | 6942392c4561469362850708 | | StackedLSTM | 85.1 | Not recorded | 6942392c4561469362850708 | | StackedGRU | 85.1 | Not recorded | 6942392c4561469362850708 | | DeepTransformer | 84.8 | Not recorded | 6942392c4561469362850708 | | CNN-GRU | 84.5 | Not recorded | 6942392c4561469362850708 | | SVM (RBF) | 83.8 | Not recorded | 6942392c4561469362850708 | | DeepCNN1D | 83.5 | Not recorded | 6942392c4561469362850708 | | Logistic Regression | 83.2 | Not recorded | 6942392c4561469362850708 | | Extra Trees | 82.2 | Not recorded | 6942392c4561469362850708 | | Random Forest | 82.2 | Not recorded | 6942392c4561469362850708 | | kNN | 81.8 | Not recorded | 6942392c4561469362850708 | | Gradient Boosting | 80.2 | Not recorded | 6942392c4561469362850708 | | Decision Tree | 76.5 | Not recorded | 6942392c4561469362850708 | ### Residual GRU+MHSA Accuracy: 86.1. Result ID: 69995b775698665ec4c71a66. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Category":"Hybrid deep baselines"}. This record does not assert independent reproduction. ### LSTM-Transformer Accuracy: 85.8. Result ID: 69995b775698665ec4c71a65. [Reporting paper]() Recorded evaluation configuration: {"Category":"Hybrid deep baselines"}. This record does not assert independent reproduction. ### GaussianNB Accuracy: 85.5. Result ID: 69995b775698665ec4c71a57. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Category":"Classical baselines"}. This record does not assert independent reproduction. ### DeepMLP Accuracy: 85.5. Result ID: 69995b775698665ec4c71a5e. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Category":"Deep learning baselines"}. This record does not assert independent reproduction. ### CNN-LSTM Accuracy: 85.5. Result ID: 69995b775698665ec4c71a63. [Reporting paper]() Recorded evaluation configuration: {"Category":"Hybrid deep baselines"}. This record does not assert independent reproduction. ### StackedLSTM Accuracy: 85.1. Result ID: 69995b775698665ec4c71a60. [Reporting paper]() Recorded evaluation configuration: {"Category":"Deep learning baselines"}. This record does not assert independent reproduction. ### StackedGRU Accuracy: 85.1. Result ID: 69995b775698665ec4c71a61. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Category":"Deep learning baselines"}. This record does not assert independent reproduction. ### DeepTransformer Accuracy: 84.8. Result ID: 69995b775698665ec4c71a62. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Category":"Deep learning baselines"}. This record does not assert independent reproduction. ### CNN-GRU Accuracy: 84.5. Result ID: 69995b775698665ec4c71a64. [Reporting paper]() Recorded evaluation configuration: {"Category":"Hybrid deep baselines"}. This record does not assert independent reproduction. ### SVM (RBF) Accuracy: 83.8. Result ID: 69995b775698665ec4c71a58. [Reporting paper]() Recorded evaluation configuration: {"Category":"Classical baselines"}. This record does not assert independent reproduction. ### DeepCNN1D Accuracy: 83.5. Result ID: 69995b775698665ec4c71a5f. [Reporting paper]() Recorded evaluation configuration: {"Category":"Deep learning baselines"}. This record does not assert independent reproduction. ### Logistic Regression Accuracy: 83.2. Result ID: 69995b775698665ec4c71a56. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Category":"Classical baselines"}. This record does not assert independent reproduction. ### Extra Trees Accuracy: 82.2. Result ID: 69995b775698665ec4c71a59. [Reporting paper]() Recorded evaluation configuration: {"Category":"Classical baselines"}. This record does not assert independent reproduction. ### Random Forest Accuracy: 82.2. Result ID: 69995b775698665ec4c71a5a. [Reporting paper]() Recorded evaluation configuration: {"Category":"Classical baselines"}. This record does not assert independent reproduction. ### kNN Accuracy: 81.8. Result ID: 69995b775698665ec4c71a5b. [Reporting paper]() Recorded evaluation configuration: {"Category":"Classical baselines"}. This record does not assert independent reproduction. ### Gradient Boosting Accuracy: 80.2. Result ID: 69995b775698665ec4c71a5c. [Reporting paper]() Recorded evaluation configuration: {"Category":"Classical baselines"}. This record does not assert independent reproduction. ### Decision Tree Accuracy: 76.5. Result ID: 69995b775698665ec4c71a5d. [Reporting paper]() Recorded evaluation configuration: {"Category":"Classical baselines"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.