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Introduction post about AFT model
https://www.kaggle.com/competitions/equity-post-HCT-survival-predictions/discussion/550141
CIBMTR - Equity in post-HCT Survival Predictions
Improve prediction of transplant survival rates equitably for allogeneic HCT patients
www.kaggle.com
- First saw this conversation about AFT
- Host paper link: https://proceedings.mlr.press/v206/norcliffe23a/norcliffe23a.pdf
- Above SurvivalXGBoost model objective:
- Objective: Survival: AFT (Accelerated Failure Time)
- Evaluation Metric: AFT Negative Log Likelihood
- AFT Loss Distribution: Normal
- AFT Loss Distribution Scale: 1.0
- This is a specialized survival analysis configuration of XGBoost that can be used in the competition.
- The AFT (Accelerated Failure Time) model is specialized for predicting survival time, making it a suitable approach for predicting the survival rate of HCT patients, which is the objective of this competition.
https://www.kaggle.com/competitions/equity-post-HCT-survival-predictions/discussion/550141
CIBMTR - Equity in post-HCT Survival Predictions
Improve prediction of transplant survival rates equitably for allogeneic HCT patients
www.kaggle.com
- Also metioned here
- My discussion annotation:
- Notebook example annotation:
- d
- d
인내할 수 있는 사람은 그가 바라는 것은 무엇이든지 손에 넣을 수 있다.
- 벤자민 프랭클린 -
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