Home › Entities › academia › An interpretable machine learning-based breast cancer classification using XGBoost, SHAP, and LIME

An interpretable machine learning-based breast cancer classification using XGBoost, SHAP, and LIME

Research article (Bulletin of Electrical Engineering and Informatics, 2024) · cited 11× · AI/ML
academia openalex:W4402672271
Press Enter · cited answer in seconds

An interpretable machine learning-based breast cancer classification using XGBoost, SHAP, and LIME

Summary

An interpretable machine learning-based breast cancer classification using XGBoost, SHAP, and LIME is a scholarly article[1].

Key Facts

  • An interpretable machine learning-based breast cancer classification using XGBoost, SHAP, and LIME's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). An interpretable machine learning-based breast cancer classification using XGBoost, SHAP, and LIME. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-interpretable-machine-learning-based-breast-cancer-classification-using-xgboost-shap-and-lime
MLA “An interpretable machine learning-based breast cancer classification using XGBoost, SHAP, and LIME.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-interpretable-machine-learning-based-breast-cancer-classification-using-xgboost-shap-and-lime.
BibTeX @misc{4ortxyz_an-interpretable-machine-learning-based-breast-cancer-classification-using-xgboost-shap-and-lime_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An interpretable machine learning-based breast cancer classification using XGBoost, SHAP, and LIME}}, year = {2026}, url = {https://4ort.xyz/entity/an-interpretable-machine-learning-based-breast-cancer-classification-using-xgboost-shap-and-lime}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An interpretable machine learning-based breast cancer classification using XGBoost, SHAP, and LIME — https://4ort.xyz/entity/an-interpretable-machine-learning-based-breast-cancer-classification-using-xgboost-shap-and-lime (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/an-interpretable-machine-learning-based-breast-cancer-classification-using-xgboost-shap-and-lime · Last refreshed: