- Home
- Archives
- 2021
- Vol. 1 Issue 2
- Article
Pre FIC: Predict ability of Faculty Instructional Performance through Hybrid Prediction Model
Authors
1,2,3 Department of Computer Science and Engineering, Bapatla Engineering College,India.
Article Information
- DOI
- No DOI
- Published In
- Volume 1, Issue 2 (2021)
- Published Online
- March-April 2021
- Pages
- 18-19
- Article Type
- Research Article
- Check for updates
- No DOI available for cross-reference
Abstract
View PDF: The Higher Education Institutions have amplifiedthepracticeofincorporatingdatamininginextractinginformation from the data comparing to informational setting. AsoneoftheregardedquestofHEIs,predictingfacultyinstructionalperformance has simplified; and the accuracy of the result has becomemorereliable through the usage of dataminingalgorithmsandtechniques.Thisstudyproposedahybridmodelinpredicting the instructive display of staff in the fourStateUniversitiesandColleges(SUC)inCaragaRegion,Philippinesbyintegratingk-meanssegmentationontheC4.5algorithmpriortoprediction.Atotalof597recordsofstudent-respondents was used for reenactment using the 10-foldscrossvalidationscheme.Simulationresultshowedthatwithintegrationofk-meansalgorithm,theidentifiedpredictionaccuracy of 86.09% using C4.5 estimation alone has extended to87.93%.Futureresearchersmayutilizeotherhybridalgorithmsinthe questonimprovingthe composing ofeducationaldatamining.
Related Articles
Share Article
*Instagram doesn't support direct link sharing from web. Copy the link and share it in your Instagram story or post.