A machine learning in binary and multiclassification results on imbalanced heart disease data stream

HIGHLIGHTS

  • who: Danish Hamid et al. from the Capital of Science and Technology, Islamabad, Pakistan Department of Electrical and Computer Engineering, Villanova, Villanova, PA, USA have published the paper: A Machine Learning in Binary and Multiclassification Results on Imbalanced Heart Disease Data Stream, in the Journal: Journal of Sensors of 20/09/2022
  • what: For the purpose of gathering training and test data for the analysis process, splitting is used.
  • how: The authors have applied the Max Abs Scaler technique to the dataset . In this paper some ML algorithms are applied to the large . . .

     

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