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Title: :  A Hybrid Machine Learning and Regression Approach for Validating a Women’s Safety Crime Index
PaperId: :  27401
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 4 2025
DUI:    16.0415/IJARIIE-27401
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
SEEMA R NT JOHN INSTITUTE OF TECHNOLOGY
Sreelakshmi ST JOHN INSTITUTE OF TECHNOLOGY

Abstract

COMPUTER APPLICATIONS
Violence against women, Crime index, Socioeconomic factors, Predictive modeling
Violence against women has existed throughout history, taking many forms, from emotional and psychological abuse to physical and sexual harm. This study proposes a crime index that captures factors influencing such violence, organized into four key areas: Health, Socioeconomic Status, Education, and the Judiciary. The index was evaluated for consistency and reliability, and its effectiveness was determined by comparing it with both traditional and combined modeling approaches. An integrated modeling strategy, which used regression techniques alongside Random Forest and Stochastic Gradient Descent, was applied to enhance prediction performance. Model accuracy was evaluated using MAE, RMSE, and MAPE. Results show that the index is highly reliable, with strong correlations. This approach effectively accounts for variation and reduces prediction inaccuracies compared to baseline models, while the homogeneous ensemble achieved the lowest inaccuracies. Women in underdeveloped or geographically challenging areas are more vulnerable to victimization. Overall, the index highlights the important role of social factors in violence against women and can support strategies to reduce such incidents.

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IJARIIE SEEMA R N, and Sreelakshmi S. "A Hybrid Machine Learning and Regression Approach for Validating a Women’s Safety Crime Index" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 4 2025 Page 3958-3962
MLA SEEMA R N, and Sreelakshmi S. "A Hybrid Machine Learning and Regression Approach for Validating a Women’s Safety Crime Index." International Journal Of Advance Research And Innovative Ideas In Education 11.4(2025) : 3958-3962.
APA SEEMA R N, & Sreelakshmi S. (2025). A Hybrid Machine Learning and Regression Approach for Validating a Women’s Safety Crime Index. International Journal Of Advance Research And Innovative Ideas In Education, 11(4), 3958-3962.
Chicago SEEMA R N, and Sreelakshmi S. "A Hybrid Machine Learning and Regression Approach for Validating a Women’s Safety Crime Index." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 4 (2025) : 3958-3962.
Oxford SEEMA R N, and Sreelakshmi S. 'A Hybrid Machine Learning and Regression Approach for Validating a Women’s Safety Crime Index', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 4, 2025, p. 3958-3962. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/A_Hybrid_Machine_Learning_and_Regression_Approach_for_Validating_a_Women’s_Safety_Crime_Index_ijariie27401.pdf (Accessed : ).
Harvard SEEMA R N, and Sreelakshmi S. (2025) 'A Hybrid Machine Learning and Regression Approach for Validating a Women’s Safety Crime Index', International Journal Of Advance Research And Innovative Ideas In Education, 11(4), pp. 3958-3962IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/A_Hybrid_Machine_Learning_and_Regression_Approach_for_Validating_a_Women’s_Safety_Crime_Index_ijariie27401.pdf (Accessed : )
IEEE SEEMA R N, and Sreelakshmi S, "A Hybrid Machine Learning and Regression Approach for Validating a Women’s Safety Crime Index," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 4, pp. 3958-3962, Jul-Aug 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/A_Hybrid_Machine_Learning_and_Regression_Approach_for_Validating_a_Women’s_Safety_Crime_Index_ijariie27401.pdf [Accessed : ].
Turabian SEEMA R N, and Sreelakshmi S. "A Hybrid Machine Learning and Regression Approach for Validating a Women’s Safety Crime Index." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 4 ().
Vancouver SEEMA R N, and Sreelakshmi S. A Hybrid Machine Learning and Regression Approach for Validating a Women’s Safety Crime Index. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(4) : 3958-3962. Available from: https://ijariie.com/AdminUploadPdf/A_Hybrid_Machine_Learning_and_Regression_Approach_for_Validating_a_Women’s_Safety_Crime_Index_ijariie27401.pdf
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