havakv / havakv/pycox

Questions about survival prediction

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Dominant language
Python
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Description

Hi, thanks for your great work. I wonder for these metrics in EvalSurv, how to use them evalaute model prediction performance directly.

I think only these three metrics: Brier Score, Negative Binomial Log-Likelihood, and Administrative versions of Brier Score and NBLL, these three metrics' higher values mean worse model.

Is my understanding correct? Thanks.

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Research direction

Start with EvalSurv and the definitions of Brier Score, NBLL, and their administrative variants mentioned in the issue. Clarify how each metric should be interpreted for survival-model predictions, and document whether higher values indicate worse performance.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, pytorch
Domain
machine-learning
Issue type
Documentation
Difficulty
1/5
Estimated time
Under an hour
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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