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Development of Churn Prediction Model using XGBoost - Telecommunication Industry in Sri Lanka

Research article (2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), 2021) · cited 14× · AI/ML
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Development of Churn Prediction Model using XGBoost - Telecommunication Industry in Sri Lanka

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Development of Churn Prediction Model using XGBoost - Telecommunication Industry in Sri Lanka is a scholarly article[1].

Key Facts

  • Development of Churn Prediction Model using XGBoost - Telecommunication Industry in Sri Lanka's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Development of Churn Prediction Model using XGBoost - Telecommunication Industry in Sri Lanka. Retrieved May 24, 2026, from https://4ort.xyz/entity/development-of-churn-prediction-model-using-xgboost-telecommunication-industry-in-sri-lanka
MLA “Development of Churn Prediction Model using XGBoost - Telecommunication Industry in Sri Lanka.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/development-of-churn-prediction-model-using-xgboost-telecommunication-industry-in-sri-lanka.
BibTeX @misc{4ortxyz_development-of-churn-prediction-model-using-xgboost-telecommunication-industry-in-sri-lanka_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Development of Churn Prediction Model using XGBoost - Telecommunication Industry in Sri Lanka}}, year = {2026}, url = {https://4ort.xyz/entity/development-of-churn-prediction-model-using-xgboost-telecommunication-industry-in-sri-lanka}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Development of Churn Prediction Model using XGBoost - Telecommunication Industry in Sri Lanka — https://4ort.xyz/entity/development-of-churn-prediction-model-using-xgboost-telecommunication-industry-in-sri-lanka (retrieved 2026-05-24)

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