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Updated: Jun 24, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

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通过机器学习驱动的流失预测,提高电信行业的客户保留率

Alisha Sikri1, Roshan Jameel2, Sheikh Mohammad Idrees3

  • 1Noida Institute of Engineering and Technology, Greater Noida, 201306, Uttar Pradesh, India.

Scientific reports
|June 7, 2024
PubMed
概括

预测客户流失率对于保持业务至关重要. 一种新的基于比例的数据平衡技术显著提高了机器学习模型的准确性,用于识别潜在的压机.

关键词:
客户流失率 (customer churn) 是指客户流失率 (customer churn) 是指客户流失率 (customer churn) 是指客户流失率 (customer churn) 是指客户流失率.数据平衡数据平衡数据重新抽样数据重新抽样.合唱团组合在一起.机器学习是机器学习.预测 预测 预测

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