In medical filed, predicting the occurrence of heart diseases is a significant piece of work.
Millions of healthcare‐related complexities that have remained unsolved up until now can
be greatly simplified with the help of machine learning. The proposed study is concerned
with the cardiac disease diagnosis decision support system. An OpenML repository data
stream with 1 million instances of heart disease and 14 features is used for this study. After
applying to preprocess and feature engineering techniques, machine learning approaches …

… This article has been retracted by Hindawi following an investigation undertaken by the
publisher [1]. This investigation has uncovered evidence of one or more of the following
indicators of systematic manipulation of the publication process: … The corresponding author,
as the representative of all authors, has been given the opportunity to register their agreement
or disagreement to this retraction. We have kept a record of any response received. …
Umar, “A Machine Learning in Binary and Multiclassification Results on Imbalanced Heart …