Home ›
Entities
› academia
› Enhancing customer retention with machine learning: A comparative analysis of ensemble models for accurate churn prediction
Enhancing customer retention with machine learning: A comparative analysis of ensemble models for accurate churn prediction
Research article (International Journal of Information Management Data Insights, 2025) · cited 25× · AI/ML
Enhancing customer retention with machine learning: A comparative analysis of ensemble models for accurate churn prediction
Summary
Enhancing customer retention with machine learning: A comparative analysis of ensemble models for accurate churn prediction is a scholarly article[1].
Key Facts
Enhancing customer retention with machine learning: A comparative analysis of ensemble models for accurate churn prediction's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Enhancing customer retention with machine learning: A comparative analysis of ensemble models for accurate churn prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhancing-customer-retention-with-machine-learning-a-comparative-analysis-of-ensemble-models-for-accurate-churn-predicti
MLA“Enhancing customer retention with machine learning: A comparative analysis of ensemble models for accurate churn prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhancing-customer-retention-with-machine-learning-a-comparative-analysis-of-ensemble-models-for-accurate-churn-predicti.
BibTeX@misc{4ortxyz_enhancing-customer-retention-with-machine-learning-a-comparative-analysis-of-ensemble-models-for-accurate-churn-predicti_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhancing customer retention with machine learning: A comparative analysis of ensemble models for accurate churn prediction}}, year = {2026}, url = {https://4ort.xyz/entity/enhancing-customer-retention-with-machine-learning-a-comparative-analysis-of-ensemble-models-for-accurate-churn-predicti}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Enhancing customer retention with machine learning: A comparative analysis of ensemble models for accurate churn prediction — https://4ort.xyz/entity/enhancing-customer-retention-with-machine-learning-a-comparative-analysis-of-ensemble-models-for-accurate-churn-predicti (retrieved 2026-05-24)