Feature Analysis of Coronary Artery Heart Disease Data Sets Predicting heart disease The model gave accuracies of 98.77 for Statlog and 96.70 for Cleveland datasets. Improving an Intelligent Detection System for Coronary Heart Heart-Statlog Dataset Table 5depicts the results obtained by the different feature selection methods with the Heart-Statlog dataset. The classification accuracy using the proposed SRLPSO-ELM has increased to 89.96% with three features. The required features were reduced drastically achieving better classification accuracy. This database contains 13 attributes (which have been extracted from a larger set of 75). Improving an Intelligent Detection System for Coronary Heart … data Statlog (Heart) | Life Sciences Dataset This dataset is a heart disease database similar to a database already present in the repository (Heart Disease databases) but in a slightly different form. 什么是knn1.1. IJCA - Enhancing BPN Performance using GA Identified Significant ... In order to conduct this analysis, a Jupyter notebook was constructed in Python using the publicly available Cleveland dataset for heart disease, which has over 300 unique instances with 76 total attributes.⁵ ⁶ ⁷ ⁸ ⁹ From these 76 total attributes, only 14 of them are commonly used for research to this date.