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Student Performance on an entrance examination Data Set
Download: Data Folder, Data Set Description

Abstract: This dataset contains data of the candidates who qualified the medical entrance examination for admission to medical colleges of Assam of a particular year and collected by Prof. Jiten Hazarika.

Data Set Characteristics:  

Multivariate

Number of Instances:

666

Area:

Computer

Attribute Characteristics:

N/A

Number of Attributes:

11

Date Donated

2018-12-10

Associated Tasks:

Classification

Missing Values?

N/A

Number of Web Hits:

14411


Source:

Dr. Sadiq Hussain, Dibrugarh University, sadiq '@' dibru.ac.in


Data Set Information:

Performance, Gender, Caste, coaching, Class_ten_education, twelve_education, medium, Class_ X_Percentage, Class_ XII_Percentage, Father_occupation, Mother_occupation


Attribute Information:

Performance in Common Entrance Examination (CEE), Sex of the Candidate, Caste of the Candidate, Whether the candidate attended any coaching classes within Assam, outside Assam or not, Name of the board where the candidate studied at Class X level, Name of the board where the candidate studied at Class XII level, Medium of instructions for the study at Class XII level,The percentage secured by the candidate at Class X standard, The percentage secured by the candidate at Class XII standard, The occupation of the father of the candidate, The occupation of the mother of the candidate


Relevant Papers:

Hussain S., Atallah R., Kamsin A., Hazarika J. (2019) Classification, Clustering and Association Rule Mining in Educational Datasets Using Data Mining Tools: A Case Study. In: Silhavy R. (eds) Cybernetics and Algorithms in Intelligent Systems. CSOC2018 2018. Advances in Intelligent Systems and Computing, vol 765. Springer, Cham



Citation Request:

Hussain S., Atallah R., Kamsin A., Hazarika J. (2019) Classification, Clustering and Association Rule Mining in Educational Datasets Using Data Mining Tools: A Case Study. In: Silhavy R. (eds) Cybernetics and Algorithms in Intelligent Systems. CSOC2018 2018. Advances in Intelligent Systems and Computing, vol 765. Springer, Cham


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