Student Academics Performance Data Set
Download: Data Folder, Data Set Description
Abstract: The dataset tried to find the end semester percentage prediction based on different social, economic and academic attributes.
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Data Set Characteristics: |
Multivariate |
Number of Instances: |
300 |
Area: |
Computer |
Attribute Characteristics: |
N/A |
Number of Attributes: |
22 |
Date Donated |
2018-09-16 |
Associated Tasks: |
Classification |
Missing Values? |
N/A |
Number of Web Hits: |
89729 |
Source:
Dr Sadiq Hussain, Dibrugarh University, Dibrugarh, Assam, India, sadiq '@' dibru.ac.in
Data Set Information:
Student Academic Performance Dataset
Attribute Information:
@ATTRIBUTE ge {M,F}
@ATTRIBUTE cst {G,ST,SC,OBC,MOBC}
@ATTRIBUTE tnp {Best,Vg,Good,Pass,Fail}
@ATTRIBUTE twp {Best,Vg,Good,Pass,Fail}
@ATTRIBUTE iap {Best,Vg,Good,Pass,Fail}
@ATTRIBUTE esp {Best,Vg,Good,Pass,Fail}
@ATTRIBUTE arr {Y,N}
@ATTRIBUTE ms {Married,Unmarried}
@ATTRIBUTE ls {T,V}
@ATTRIBUTE as {Free,Paid}
@ATTRIBUTE fmi {Vh,High,Am,Medium,Low}
@ATTRIBUTE fs {Large,Average,Small}
@ATTRIBUTE fq {Il,Um,10,12,Degree,Pg}
@ATTRIBUTE mq {Il,Um,10,12,Degree,Pg}
@ATTRIBUTE fo {Service,Business,Retired,Farmer,Others}
@ATTRIBUTE mo {Service,Business,Retired,Housewife,Others}
@ATTRIBUTE nf {Large,Average,Small}
@ATTRIBUTE sh {Good,Average,Poor}
@ATTRIBUTE ss {Govt,Private}
@ATTRIBUTE me {Eng,Asm,Hin,Ben}
@ATTRIBUTE tt {Large,Average,Small}
@ATTRIBUTE atd {Good,Average,Poor}
Relevant Papers:
Hussain S, Dahan N.A, Ba-Alwi F.M, Ribata N. Educational Data Mining and Analysis of Students’ Academic Performance Using WEKA. Indonesian Journal of Electrical Engineering and Computer Science. 2018; Vol. 9, No. 2. February. pp. 447~459
Citation Request:
Hussain S, Dahan N.A, Ba-Alwi F.M, Ribata N. Educational Data Mining and Analysis of Students’ Academic Performance Using WEKA. Indonesian Journal of Electrical Engineering and Computer Science. 2018; Vol. 9, No. 2. February. pp. 447~459
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