Matches in SemOpenAlex for { <https://semopenalex.org/work/W2783671365> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W2783671365 endingPage "12" @default.
- W2783671365 startingPage "07" @default.
- W2783671365 abstract "One of the machine-learning method for constructing prediction models from data is Classification and Regression. By partitioning the data space recursively these models are configuring and in each prediction model are fitting with a simple predictions. Finally, the partitioning can be represented pictorially as a decision tree. Finite number of unordered values are taken for the designing the classification trees and are designed for independent variables. And the prediction error are measured in terms of misclassification cost. Squared difference between the predicted and observed values are measured in regression trees, which are dependent variables that have ordered discrete values or continuous values. Here in this article reviewing and comparing some of the widely acceptable algorithms such as QUEST, GUIDE, CRUISE, C4.5 and RPART with their strengths, weakness and capabilities." @default.
- W2783671365 created "2018-01-26" @default.
- W2783671365 creator A5041847111 @default.
- W2783671365 creator A5083660569 @default.
- W2783671365 date "2015-05-31" @default.
- W2783671365 modified "2023-10-03" @default.
- W2783671365 title "Prediction Models in Machine Learning by Classification and Regression" @default.
- W2783671365 doi "https://doi.org/10.53555/nncse.v2i5.408" @default.
- W2783671365 hasPublicationYear "2015" @default.
- W2783671365 type Work @default.
- W2783671365 sameAs 2783671365 @default.
- W2783671365 citedByCount "0" @default.
- W2783671365 crossrefType "journal-article" @default.
- W2783671365 hasAuthorship W2783671365A5041847111 @default.
- W2783671365 hasAuthorship W2783671365A5083660569 @default.
- W2783671365 hasBestOaLocation W27836713651 @default.
- W2783671365 hasConcept C105795698 @default.
- W2783671365 hasConcept C111472728 @default.
- W2783671365 hasConcept C113174947 @default.
- W2783671365 hasConcept C119857082 @default.
- W2783671365 hasConcept C124101348 @default.
- W2783671365 hasConcept C134306372 @default.
- W2783671365 hasConcept C138885662 @default.
- W2783671365 hasConcept C152877465 @default.
- W2783671365 hasConcept C154945302 @default.
- W2783671365 hasConcept C2780586882 @default.
- W2783671365 hasConcept C33923547 @default.
- W2783671365 hasConcept C41008148 @default.
- W2783671365 hasConcept C45804977 @default.
- W2783671365 hasConcept C48921125 @default.
- W2783671365 hasConcept C5481197 @default.
- W2783671365 hasConcept C83546350 @default.
- W2783671365 hasConcept C84525736 @default.
- W2783671365 hasConceptScore W2783671365C105795698 @default.
- W2783671365 hasConceptScore W2783671365C111472728 @default.
- W2783671365 hasConceptScore W2783671365C113174947 @default.
- W2783671365 hasConceptScore W2783671365C119857082 @default.
- W2783671365 hasConceptScore W2783671365C124101348 @default.
- W2783671365 hasConceptScore W2783671365C134306372 @default.
- W2783671365 hasConceptScore W2783671365C138885662 @default.
- W2783671365 hasConceptScore W2783671365C152877465 @default.
- W2783671365 hasConceptScore W2783671365C154945302 @default.
- W2783671365 hasConceptScore W2783671365C2780586882 @default.
- W2783671365 hasConceptScore W2783671365C33923547 @default.
- W2783671365 hasConceptScore W2783671365C41008148 @default.
- W2783671365 hasConceptScore W2783671365C45804977 @default.
- W2783671365 hasConceptScore W2783671365C48921125 @default.
- W2783671365 hasConceptScore W2783671365C5481197 @default.
- W2783671365 hasConceptScore W2783671365C83546350 @default.
- W2783671365 hasConceptScore W2783671365C84525736 @default.
- W2783671365 hasIssue "5" @default.
- W2783671365 hasLocation W27836713651 @default.
- W2783671365 hasOpenAccess W2783671365 @default.
- W2783671365 hasPrimaryLocation W27836713651 @default.
- W2783671365 hasRelatedWork W1960633243 @default.
- W2783671365 hasRelatedWork W2383233190 @default.
- W2783671365 hasRelatedWork W2801473957 @default.
- W2783671365 hasRelatedWork W4205704907 @default.
- W2783671365 hasRelatedWork W4211143196 @default.
- W2783671365 hasRelatedWork W4298366357 @default.
- W2783671365 hasRelatedWork W4300642372 @default.
- W2783671365 hasRelatedWork W4307266384 @default.
- W2783671365 hasRelatedWork W4310988128 @default.
- W2783671365 hasRelatedWork W4310988131 @default.
- W2783671365 hasVolume "2" @default.
- W2783671365 isParatext "false" @default.
- W2783671365 isRetracted "false" @default.
- W2783671365 magId "2783671365" @default.
- W2783671365 workType "article" @default.