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). A Fully Bayesian Logistic Regression Model for Classification of ZADA Diabetes Dataset. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-fully-bayesian-logistic-regression-model-for-classification-of-zada-diabetes-dataset
MLA“A Fully Bayesian Logistic Regression Model for Classification of ZADA Diabetes Dataset.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-fully-bayesian-logistic-regression-model-for-classification-of-zada-diabetes-dataset.
BibTeX@misc{4ortxyz_a-fully-bayesian-logistic-regression-model-for-classification-of-zada-diabetes-dataset_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Fully Bayesian Logistic Regression Model for Classification of ZADA Diabetes Dataset}}, year = {2026}, url = {https://4ort.xyz/entity/a-fully-bayesian-logistic-regression-model-for-classification-of-zada-diabetes-dataset}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Fully Bayesian Logistic Regression Model for Classification of ZADA Diabetes Dataset — https://4ort.xyz/entity/a-fully-bayesian-logistic-regression-model-for-classification-of-zada-diabetes-dataset (retrieved 2026-05-24)