SOURCE-LINKED INTELLIGENCE
Comparative Performance of Supervised Machine Learning Models for Customer Churn Prediction Using E-Commerce Behavioral Data
Bulletins of Natural and Applied Sciences · Customer churn and segmentation · Federal University Birnin Kebbi
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- recordType
- paper
- evidenceStatus
- metadata-reported
- region
- Global
Evidence & attribution
- OpenAlex research metadata · 2026-09-19T00:00:00.000Z
Research metadata: OpenAlex (CC0). Original paper rights remain with its publisher.
First collected: 2026-09-20T23:22:28.549Z. This is not the publication date.
Research metadata
OpenAlex record ↗ · Metadata licensed CC0; paper rights are separate.
- Citations reported by OpenAlex
- 0
- Authors
- Ahmed Sani Yeldu; Rufai Aliyu Yauri; Sirajo Abdullahi Bakura; Aliyu Bello Hassan; Bashar Tukur Shehu; Ibrahim Ibrahim Musa Mungadi
- Affiliations
- Federal University Birnin Kebbi (NG)
- Topic
- Customer churn and segmentation
- Venue
- Bulletins of Natural and Applied Sciences
- Publication type
- article
- Retraction flag reported by OpenAlex
- Not flagged
Citation count and retraction flag reported by OpenAlex. Citations are not a quality score; affiliation countries are not study locations.