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Cluster and Logistic Regression Distribution of Students’ Performance by Classification

  • Nareena Soomro
  • Fahad Razaque
  • Safeeullah Soomro
  • Shoaib Shaikh
  • Natesh Kumar
  • Ghulam e Mustafa Abro
  • Ghulam Abid
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 200)

Abstract

In the research cluster based logistic regression model on student result, performance at computing department, and other demographics to predict whether or not student will annually enroll if admitted that help the campus administrators to manage registrations. In this study, deals with performance and analysis of examination results’ performance of students from computing department by also establishing general assessment. However, it cannot be stand-alone and only serves to compliment campus administrator of decision making procedure to manage registrations effectually. Predict students of educational performance are critical for scholastic departments because planned program can be scheduled in maintaining performance of students during their period of studies in departments. The demographic profile of students and fourth year of academic are used as predictor variable for performance of students educational in academic program.

Keywords

Logistic regression Performance Cluster Probability 

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  • Nareena Soomro
    • 1
  • Fahad Razaque
    • 1
  • Safeeullah Soomro
    • 2
  • Shoaib Shaikh
    • 3
  • Natesh Kumar
    • 4
  • Ghulam e Mustafa Abro
    • 3
  • Ghulam Abid
    • 3
  1. 1.Department of ComputingIndus UniversityKarachiPakistan
  2. 2.College of Computer StudiesAMA International UniversitySalmabadKingdom of Bahrain
  3. 3.Hamdard UniversityKarachiPakistan
  4. 4.Usman Institute of TechnologyKarachiPakistan

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