Classification results of proposed ER-VC model for binary classification on ADASYN-balanced data.
dataset
posted on 2022-06-29, 17:26 authored by Eysha Saad, Saima Sadiq, Ramish Jamil, Furqan Rustam, Arif Mehmood, Gyu Sang Choi, Imran AshrafClassification results of proposed ER-VC model for binary classification on ADASYN-balanced data.
History
Usage metrics
Categories
Keywords
one prospective solutionnovel extreme regressioninverse document frequencyadaptive synthetic samplingrecords adverse eventsidf ), bagavoid model overfittinguse machine learningdeep learning modelsshown robust resultsdeath risks associatedmachine learning modelsxlink "> covidvarious rumors regardingfear regarding vaccinesextensive experiments revealvaccinated people followedproposed voting classifier19 vaers datasetget better resultspredict death riskmachine learningvoting classifierproposed modeldeath riskbased modelsvaccinated peoplebow ),balanced datasetadverse reactionsresults showresults obtainedart resultstwo reasonsstudy utilizesstudy focusesresulting illnessmind stuckhigh accuracyglobal vectors98 accuracy85 accuracy19 vaccination 8216
Licence
Exports
RefWorksRefWorks
BibTeXBibTeX
Ref. managerRef. manager
EndnoteEndnote
DataCiteDataCite
NLMNLM
DCDC