ARCHIVES
Pre FIC: Predict ability of Faculty Instructional Performance through Hybrid Prediction Model
Published Online: March-April 2021
Pages: 18-19
Cite this article
No DOIAbstract
: 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
2021
Capacity of Perceptibility and Existing Weather Detection Using Scattering Technique of Light
2021
Impact of COVID19 on Influences other Than Health inessin India
2021
Impact of Nanotechnology in Electronic communication Industries
2021
Performance On Topological Cordial Graphs
2021
Preparation and Enlargement of Topical Flurbiprofen Emulgel by with Xanthan Gum
2021
