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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.

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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 In Collaboration With:
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