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). Logistic Regression Ensemble for Predicting Customer Defection with Very Large Sample Size. Retrieved May 24, 2026, from https://4ort.xyz/entity/logistic-regression-ensemble-for-predicting-customer-defection-with-very-large-sample-size
MLA“Logistic Regression Ensemble for Predicting Customer Defection with Very Large Sample Size.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/logistic-regression-ensemble-for-predicting-customer-defection-with-very-large-sample-size.
BibTeX@misc{4ortxyz_logistic-regression-ensemble-for-predicting-customer-defection-with-very-large-sample-size_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Logistic Regression Ensemble for Predicting Customer Defection with Very Large Sample Size}}, year = {2026}, url = {https://4ort.xyz/entity/logistic-regression-ensemble-for-predicting-customer-defection-with-very-large-sample-size}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Logistic Regression Ensemble for Predicting Customer Defection with Very Large Sample Size — https://4ort.xyz/entity/logistic-regression-ensemble-for-predicting-customer-defection-with-very-large-sample-size (retrieved 2026-05-24)
