We trained and evaluated models to predict breast cancer survivability separately for each stage and together for all stages. Results show that joint models offer no advantage over stage-specific models and can sometimes lead to worse performance. Survivability prediction performance varied across various stages and was worse on the distant summary stage. Evaluating survivability prediction models together on all stages leads to an overestimation of performance.