Survival regression with accelerated failure time model in XGBoost

  • Avinash Barnwal (Creator)
  • Hyunsu Cho (Creator)

Dataset

Description

Survival regression is used to estimate the relation between time-to-event and feature variables, and is important in application domains such as medicine, marketing, risk management and sales management. Nonlinear tree based machine learning algorithms...
Date made available2022
PublisherTaylor & Francis

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