Phase III breast cancer survival modeling using Cox regression (R) and Random Survival Forest (Python) with clinical covariates and C-index evaluation.

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The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.