Matches in SemOpenAlex for { <https://semopenalex.org/work/W4247373414> ?p ?o ?g. }
Showing items 1 to 61 of
61
with 100 items per page.
- W4247373414 endingPage "6642" @default.
- W4247373414 startingPage "6639" @default.
- W4247373414 abstract "Supervised Learning, a novel method that figures out how to anticipate the resultant of an input-output pair by inducting data under series of training and testing functions. Regression model is a sub classification of Supervised Machine Learning. In this paper various Regression models such as Logistic Regression, SVM, KNN, Naive Bayes and Random forest have been applied on Heart Disease dataset. The anticipated outcomes draw the deduction on the level of patients inclined to coronary illness dependent on the traits and qualities. In reference to the applied calculations both KNN and Random Forest beats the other relapse calculation with a precision of 88.52%" @default.
- W4247373414 created "2022-05-12" @default.
- W4247373414 date "2019-11-30" @default.
- W4247373414 modified "2023-10-16" @default.
- W4247373414 title "Regression Based Model for Prediction of Heart Disease Recumbent" @default.
- W4247373414 doi "https://doi.org/10.35940/ijrte.d8888.118419" @default.
- W4247373414 hasPublicationYear "2019" @default.
- W4247373414 type Work @default.
- W4247373414 citedByCount "0" @default.
- W4247373414 crossrefType "journal-article" @default.
- W4247373414 hasBestOaLocation W42473734141 @default.
- W4247373414 hasConcept C105795698 @default.
- W4247373414 hasConcept C107673813 @default.
- W4247373414 hasConcept C119857082 @default.
- W4247373414 hasConcept C12267149 @default.
- W4247373414 hasConcept C136389625 @default.
- W4247373414 hasConcept C151956035 @default.
- W4247373414 hasConcept C152877465 @default.
- W4247373414 hasConcept C154945302 @default.
- W4247373414 hasConcept C169258074 @default.
- W4247373414 hasConcept C207201462 @default.
- W4247373414 hasConcept C33923547 @default.
- W4247373414 hasConcept C41008148 @default.
- W4247373414 hasConcept C50644808 @default.
- W4247373414 hasConcept C52001869 @default.
- W4247373414 hasConcept C83546350 @default.
- W4247373414 hasConceptScore W4247373414C105795698 @default.
- W4247373414 hasConceptScore W4247373414C107673813 @default.
- W4247373414 hasConceptScore W4247373414C119857082 @default.
- W4247373414 hasConceptScore W4247373414C12267149 @default.
- W4247373414 hasConceptScore W4247373414C136389625 @default.
- W4247373414 hasConceptScore W4247373414C151956035 @default.
- W4247373414 hasConceptScore W4247373414C152877465 @default.
- W4247373414 hasConceptScore W4247373414C154945302 @default.
- W4247373414 hasConceptScore W4247373414C169258074 @default.
- W4247373414 hasConceptScore W4247373414C207201462 @default.
- W4247373414 hasConceptScore W4247373414C33923547 @default.
- W4247373414 hasConceptScore W4247373414C41008148 @default.
- W4247373414 hasConceptScore W4247373414C50644808 @default.
- W4247373414 hasConceptScore W4247373414C52001869 @default.
- W4247373414 hasConceptScore W4247373414C83546350 @default.
- W4247373414 hasIssue "4" @default.
- W4247373414 hasLocation W42473734141 @default.
- W4247373414 hasOpenAccess W4247373414 @default.
- W4247373414 hasPrimaryLocation W42473734141 @default.
- W4247373414 hasRelatedWork W1224884 @default.
- W4247373414 hasRelatedWork W13370388 @default.
- W4247373414 hasRelatedWork W13708127 @default.
- W4247373414 hasRelatedWork W2756029 @default.
- W4247373414 hasRelatedWork W3367338 @default.
- W4247373414 hasRelatedWork W351505 @default.
- W4247373414 hasRelatedWork W3538710 @default.
- W4247373414 hasRelatedWork W2104954 @default.
- W4247373414 hasRelatedWork W2140299 @default.
- W4247373414 hasRelatedWork W6404606 @default.
- W4247373414 hasVolume "8" @default.
- W4247373414 isParatext "false" @default.
- W4247373414 isRetracted "false" @default.
- W4247373414 workType "article" @default.