Fig. 3 | Scientific Reports

Fig. 3

From: Association of surgical resection with survival in retroperitoneal leiomyosarcoma based on SEER propensity score matching and machine-learning models

Fig. 3The alternative text for this image may have been generated using AI.

Random survival forest (RSF) tuning and variable importance. For (A) OS and (B) CSS, the left panels plot out-of-bag (OOB) error against the number of trees; the vertical dashed line marks the ntree with the lowest OOB error (best ntree). Right panels show permutation-based variable importance ranked from highest to lowest; larger bars indicate greater predictive contribution, with surgery, SEER summary stage, and differentiation grade among the top predictors. RSF models used log-rank splitting and internal OOB estimation; details appear in Methods. RSF, random survival forest; OOB, out-of-bag; SEER, Surveillance, Epidemiology, and End Results.

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