Addressing Imbalance in Poverty Classification: A SMOTE-Enabled Statistical Analysis Approach
Accurately assessing poverty is vital for policy development and growth planning. Using data from the NITI Aayog-India Multinational Poverty Index Progress Review 2023, this study assesses how sophisticated statistical techniques and data-balancing procedures handle difficulties in imbalanced datase...
Saved in:
| Main Authors: | Shushant Hatwar, Yogalakshmi Thangaraj, Sujatha Vishnumoorthy |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
|
| Series: | Journal of Mathematics |
| Online Access: | http://dx.doi.org/10.1155/jom/5357997 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
RETRACTED: Machine learning approaches for water potability prediction: Addressing class imbalance with SMOTE
by: Stepanova Elina, et al.
Published: (2024-01-01) -
SMOTE vs. SMOTEENN: A Study on the Performance of Resampling Algorithms for Addressing Class Imbalance in Regression Models
by: Gazi Husain, et al.
Published: (2025-01-01) -
Addressing imbalanced data classification with Cluster-Based Reduced Noise SMOTE.
by: Javad Hemmatian, et al.
Published: (2025-01-01) -
Mitigating class imbalance in churn prediction with ensemble methods and SMOTE
by: R. Suguna, et al.
Published: (2025-05-01) -
Addressing class imbalance in lassa fever epidemic data, using machine learning: a case study with SMOTE and random forest
by: Osowomuabe Njama-Abang, et al.
Published: (2025-08-01)