heart statlog dataset

% -- 8. maximum heart rate achieved % -- 9. exercise induced angina % -- 10. oldpeak = ST depression induced by exercise relative to rest % -- 11. the slope of the peak exercise ST segment % -- 12. number of major vessels (0-3) colored by flourosopy % -- 13. thal: 3 = normal; 6 = fixed defect; 7 = reversable defect In 8 cases VTJ48 produced decision trees with more leaves than the original J48 method. The result was a four-HL DNN that detected coronary heart diseases with "promising results". Most occurring characters Statlog (Heart) Data Set (Statlog (心脏) 数据集) 数据摘要：. Usage ¶ scikit-learn provides two loaders that will automatically download, cache, parse the metadata files, decode the jpeg and convert the interesting slices into memmapped numpy arrays. The BagMOOV ensemble technique gives accurate and efficient results in all the datasets compared to the other state of art techniques. OpenML is an open platform for sharing datasets, algorithms, and experiments - to learn how to learn better, together. Samples total. 175.Statlog (Heart) : 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. heart statlog dataset A particle swarm optimization-based feature selection is carried out to choose the most significant feature set for each dataset. UCI Machine Learning Repository Improving an Intelligent Detection System for Coronary Heart Statlog Cite at: Dua, D. and Graff, C. (2019). Ensemble Methods for Heart Disease Prediction | SpringerLink KNN函数自带用例3.1.

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