Bias Plus Variance Decomposition for Survival Analysis Problems

Details Bias Plus Variance Decomposition for Survival Analysis Problems Bias Plus Variance Decomposition for Survival Analysis Problems

2011-09-24

arxiv.org/abs/1109.5311v1

Computer Science

Learning

Scientific paper

Bias - variance decomposition of the expected error defined for regression and classification problems is an important tool to study and compare different algorithms, to find the best areas for their application. Here the decomposition is introduced for the survival analysis problem. In our experiments, we study bias -variance parts of the expected error for two algorithms: original Cox proportional hazard regression and CoxPath, path algorithm for L1-regularized Cox regression, on the series of increased training sets. The experiments demonstrate that, contrary expectations, CoxPath does not necessarily have an advantage over Cox regression.

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