Matches in SemOpenAlex for { <https://semopenalex.org/work/W4289133669> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W4289133669 endingPage "11" @default.
- W4289133669 startingPage "1" @default.
- W4289133669 abstract "As we all know, the random forest algorithm has the advantages of high classification intensity and wide application range. Nevertheless, it still has a lot of room for improvement. This paper introduces the basic idea and working principle of classification algorithm and random forest algorithm, so this paper proposes some improved algorithms on the basis of all current research studies. College students, as the most innovative and adaptable group, have gradually become a development direction of China’s education reform to cultivate their innovative employment ability and develop innovative employment education. By constructing a model of the relationship between innovation and entrepreneurship education and college students’ employability, this paper examines the impact of innovation and entrepreneurship education mode on college students’ employment and entrepreneurship. At the same time, the model is tested by improving the random forest algorithm. The process of talent quality evaluation is to select talents with the best comprehensive quality based on various indicators of students’ performance in school, which can be regarded as a classification problem of unbalanced data sets. The improved random forest algorithm proposed in this paper has little difference in precision and recall rate when it is used for talent training evaluation but has a certain degree of improvement in accuracy rate, which meets the design requirements." @default.
- W4289133669 created "2022-08-01" @default.
- W4289133669 creator A5074928784 @default.
- W4289133669 creator A5091149666 @default.
- W4289133669 date "2022-07-31" @default.
- W4289133669 modified "2023-09-30" @default.
- W4289133669 title "Optimization of Entrepreneurship Education for College Students Based on Improved Random Forest Algorithm" @default.
- W4289133669 cites W1520812622 @default.
- W4289133669 cites W2074388642 @default.
- W4289133669 cites W2092664094 @default.
- W4289133669 cites W2626498001 @default.
- W4289133669 cites W2775211631 @default.
- W4289133669 cites W2910059750 @default.
- W4289133669 cites W2911964244 @default.
- W4289133669 cites W2963100393 @default.
- W4289133669 cites W2990254879 @default.
- W4289133669 cites W2999324871 @default.
- W4289133669 cites W4206208320 @default.
- W4289133669 cites W4225714542 @default.
- W4289133669 doi "https://doi.org/10.1155/2022/3682194" @default.
- W4289133669 hasPublicationYear "2022" @default.
- W4289133669 type Work @default.
- W4289133669 citedByCount "0" @default.
- W4289133669 crossrefType "journal-article" @default.
- W4289133669 hasAuthorship W4289133669A5074928784 @default.
- W4289133669 hasAuthorship W4289133669A5091149666 @default.
- W4289133669 hasBestOaLocation W42891336691 @default.
- W4289133669 hasConcept C10138342 @default.
- W4289133669 hasConcept C111472728 @default.
- W4289133669 hasConcept C111919701 @default.
- W4289133669 hasConcept C11413529 @default.
- W4289133669 hasConcept C127413603 @default.
- W4289133669 hasConcept C138885662 @default.
- W4289133669 hasConcept C144024400 @default.
- W4289133669 hasConcept C144133560 @default.
- W4289133669 hasConcept C146978453 @default.
- W4289133669 hasConcept C15302153 @default.
- W4289133669 hasConcept C154945302 @default.
- W4289133669 hasConcept C169258074 @default.
- W4289133669 hasConcept C19417346 @default.
- W4289133669 hasConcept C204323151 @default.
- W4289133669 hasConcept C2779530757 @default.
- W4289133669 hasConcept C41008148 @default.
- W4289133669 hasConcept C48677424 @default.
- W4289133669 hasConcept C84309077 @default.
- W4289133669 hasConcept C98045186 @default.
- W4289133669 hasConceptScore W4289133669C10138342 @default.
- W4289133669 hasConceptScore W4289133669C111472728 @default.
- W4289133669 hasConceptScore W4289133669C111919701 @default.
- W4289133669 hasConceptScore W4289133669C11413529 @default.
- W4289133669 hasConceptScore W4289133669C127413603 @default.
- W4289133669 hasConceptScore W4289133669C138885662 @default.
- W4289133669 hasConceptScore W4289133669C144024400 @default.
- W4289133669 hasConceptScore W4289133669C144133560 @default.
- W4289133669 hasConceptScore W4289133669C146978453 @default.
- W4289133669 hasConceptScore W4289133669C15302153 @default.
- W4289133669 hasConceptScore W4289133669C154945302 @default.
- W4289133669 hasConceptScore W4289133669C169258074 @default.
- W4289133669 hasConceptScore W4289133669C19417346 @default.
- W4289133669 hasConceptScore W4289133669C204323151 @default.
- W4289133669 hasConceptScore W4289133669C2779530757 @default.
- W4289133669 hasConceptScore W4289133669C41008148 @default.
- W4289133669 hasConceptScore W4289133669C48677424 @default.
- W4289133669 hasConceptScore W4289133669C84309077 @default.
- W4289133669 hasConceptScore W4289133669C98045186 @default.
- W4289133669 hasLocation W42891336691 @default.
- W4289133669 hasOpenAccess W4289133669 @default.
- W4289133669 hasPrimaryLocation W42891336691 @default.
- W4289133669 hasRelatedWork W2399356077 @default.
- W4289133669 hasRelatedWork W2736387849 @default.
- W4289133669 hasRelatedWork W2955939934 @default.
- W4289133669 hasRelatedWork W3108513705 @default.
- W4289133669 hasRelatedWork W3120882852 @default.
- W4289133669 hasRelatedWork W3199043527 @default.
- W4289133669 hasRelatedWork W4226026257 @default.
- W4289133669 hasRelatedWork W4285124370 @default.
- W4289133669 hasRelatedWork W4285168018 @default.
- W4289133669 hasRelatedWork W4319601573 @default.
- W4289133669 hasVolume "2022" @default.
- W4289133669 isParatext "false" @default.
- W4289133669 isRetracted "false" @default.
- W4289133669 workType "article" @default.