Matches in SemOpenAlex for { <https://semopenalex.org/work/W3210436360> ?p ?o ?g. }
Showing items 1 to 69 of
69
with 100 items per page.
- W3210436360 endingPage "012053" @default.
- W3210436360 startingPage "012053" @default.
- W3210436360 abstract "Abstract A frequent way for classification data is using a machine learning algorithm alongside ensemble methods like bagging and boosting. In earlier studies, these two algorithms have shown to be very accurate. The aim of this research is to discover performance of bagging and boosting to classify rainfall data obtained at the Sultan Syarif Kasim II Meteorological Station in Pekanbaru from 1 January 2018 until 31 July 2021. Rainfall data are classified into two categories: rainy and non-rainy. The parameters are average temperature, average humidity, sunshine duration, wind direction at maximum speed, and average wind speed. For comparison, this study developed Stochastic Gradient Boosting with Gradient Boosting Modelling and C5.0 from boosting, as well as Bagged Classification and Regression Tree (CART) and Random Forest from bagging. In order to generate reliable conclusions, each algorithm is run 30 times with repeated cross validation. The result demonstrates that Stochastic Gradient Boosting with Gradient Boosting Modelling is the best algorithm based on average accuracy." @default.
- W3210436360 created "2021-11-08" @default.
- W3210436360 creator A5037264597 @default.
- W3210436360 creator A5081423047 @default.
- W3210436360 creator A5083034095 @default.
- W3210436360 date "2021-10-01" @default.
- W3210436360 modified "2023-09-25" @default.
- W3210436360 title "A Comparison of Bagging and Boosting on Classification Data: Case Study on Rainfall Data in Sultan Syarif Kasim II Meteorological Station in Pekanbaru" @default.
- W3210436360 cites W1989640178 @default.
- W3210436360 cites W2794238513 @default.
- W3210436360 cites W2897020959 @default.
- W3210436360 cites W2963912717 @default.
- W3210436360 cites W3114526902 @default.
- W3210436360 cites W3124590480 @default.
- W3210436360 doi "https://doi.org/10.1088/1742-6596/2049/1/012053" @default.
- W3210436360 hasPublicationYear "2021" @default.
- W3210436360 type Work @default.
- W3210436360 sameAs 3210436360 @default.
- W3210436360 citedByCount "0" @default.
- W3210436360 crossrefType "journal-article" @default.
- W3210436360 hasAuthorship W3210436360A5037264597 @default.
- W3210436360 hasAuthorship W3210436360A5081423047 @default.
- W3210436360 hasAuthorship W3210436360A5083034095 @default.
- W3210436360 hasBestOaLocation W32104363601 @default.
- W3210436360 hasConcept C105795698 @default.
- W3210436360 hasConcept C119857082 @default.
- W3210436360 hasConcept C153294291 @default.
- W3210436360 hasConcept C154945302 @default.
- W3210436360 hasConcept C161067210 @default.
- W3210436360 hasConcept C169258074 @default.
- W3210436360 hasConcept C205649164 @default.
- W3210436360 hasConcept C33923547 @default.
- W3210436360 hasConcept C41008148 @default.
- W3210436360 hasConcept C46686674 @default.
- W3210436360 hasConcept C70153297 @default.
- W3210436360 hasConcept C84525736 @default.
- W3210436360 hasConceptScore W3210436360C105795698 @default.
- W3210436360 hasConceptScore W3210436360C119857082 @default.
- W3210436360 hasConceptScore W3210436360C153294291 @default.
- W3210436360 hasConceptScore W3210436360C154945302 @default.
- W3210436360 hasConceptScore W3210436360C161067210 @default.
- W3210436360 hasConceptScore W3210436360C169258074 @default.
- W3210436360 hasConceptScore W3210436360C205649164 @default.
- W3210436360 hasConceptScore W3210436360C33923547 @default.
- W3210436360 hasConceptScore W3210436360C41008148 @default.
- W3210436360 hasConceptScore W3210436360C46686674 @default.
- W3210436360 hasConceptScore W3210436360C70153297 @default.
- W3210436360 hasConceptScore W3210436360C84525736 @default.
- W3210436360 hasIssue "1" @default.
- W3210436360 hasLocation W32104363601 @default.
- W3210436360 hasOpenAccess W3210436360 @default.
- W3210436360 hasPrimaryLocation W32104363601 @default.
- W3210436360 hasRelatedWork W3100297620 @default.
- W3210436360 hasRelatedWork W3204641204 @default.
- W3210436360 hasRelatedWork W4200057378 @default.
- W3210436360 hasRelatedWork W4212956667 @default.
- W3210436360 hasRelatedWork W4288057626 @default.
- W3210436360 hasRelatedWork W4293069612 @default.
- W3210436360 hasRelatedWork W4296081764 @default.
- W3210436360 hasRelatedWork W4308191010 @default.
- W3210436360 hasRelatedWork W4328133444 @default.
- W3210436360 hasRelatedWork W4375930479 @default.
- W3210436360 hasVolume "2049" @default.
- W3210436360 isParatext "false" @default.
- W3210436360 isRetracted "false" @default.
- W3210436360 magId "3210436360" @default.
- W3210436360 workType "article" @default.