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ISSN Number:
2582-8568
Journal DOI No:
03.2021-11278686
Title:
Comparing Accuracy of predictive models for measuring performance of women’s in Distance Education - Case Study of HEI’S in India
Authors:
Cite this Article:
,
Comparing Accuracy of predictive models for measuring performance of women’s in Distance Education - Case Study of HEI’S in India, International Research Journal of Humanities and Interdisciplinary Studies (www.irjhis.com), ISSN : 2582-8568, Special Issue, February 2023 International Conference Organized by V. P. Institute of Management Studies & Research, Sangli (Maharashtra, India), Page No : 105-111,
Available at : http://irjhis.com/paper/IRJHISIC2302014.pdf
Abstract:
Women’s education is basic need for a nation to grow in all aspects .The hurdle for women education in India was the man dominating society which was approached from the epics, she have to take care of house and children activities while man have to a take care of economic activities. Distance education has rolled out this barrier. Data was retrieved from kaggle which consists of survey of women’s distance education done by MHRD govt. of India in HEI. It consist of 5557 records after cleaning the data. Various predicting algorithm were used for data analysis. The result showed that there is an increase rate of passing percentage and scoring marks in women taking distance education compared to overall percentage of passing and scoring marks. The comparison between models shows that SVM and Random Forest has 100% accuracy.
Keywords:
Women’s Education, Distance Education, Data Mining, HEI, predictive algorithms.
Publication Details:
Published Paper ID: IRJHISIC2302014
Registration ID: 20951
Published In: Special Issue, February 2023 International Conference Organized by V. P. Institute of Management Studies & Research, Sangli (Maharashtra, India)
Page No: 105-111
ISSN Number: 2582-8568
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