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). Customer churn prediction in imbalanced datasets with resampling methods: A comparative study. Retrieved May 24, 2026, from https://4ort.xyz/entity/customer-churn-prediction-in-imbalanced-datasets-with-resampling-methods-a-comparative-study
MLA“Customer churn prediction in imbalanced datasets with resampling methods: A comparative study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/customer-churn-prediction-in-imbalanced-datasets-with-resampling-methods-a-comparative-study.
BibTeX@misc{4ortxyz_customer-churn-prediction-in-imbalanced-datasets-with-resampling-methods-a-comparative-study_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Customer churn prediction in imbalanced datasets with resampling methods: A comparative study}}, year = {2026}, url = {https://4ort.xyz/entity/customer-churn-prediction-in-imbalanced-datasets-with-resampling-methods-a-comparative-study}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Customer churn prediction in imbalanced datasets with resampling methods: A comparative study — https://4ort.xyz/entity/customer-churn-prediction-in-imbalanced-datasets-with-resampling-methods-a-comparative-study (retrieved 2026-05-24)