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CIBMTR - Equity in post-HCT Survival Predictions #3 Understanding Survival Analysis - 2

Annotation of modeling & SHAP part of this kernel: Understanding Survival AnalysisExplore and run machine learning code with Kaggle Notebooks | Using data from CIBMTR - Equity in post-HCT Survival Predictionswww.kaggle.comXGBoost Model for SurvivalWe will now use an XGBoost model with Optuna to find the ideal hyperparameters. This model will be used to submit predictions.This XGBoost model imple..

CIBMTR - Equity in post-HCT Survival Predictions #2 Understanding Survival Analysis - 1

Annotation of this kernel: https://www.kaggle.com/code/benjenkins96/understanding-survival-analysis Understanding Survival AnalysisExplore and run machine learning code with Kaggle Notebooks | Using data from CIBMTR - Equity in post-HCT Survival Predictionswww.kaggle.comInitial EDA# Check the distribution of the target variablesplt.figure(figsize=(10, 5))sns.countplot(data=train, x='efs', palett..

CIBMTR - Equity in post-HCT Survival Predictions #1 About the Competition

IntroductionBasically Survey Analysis CompetitionPredicting transplant survival rates for allogeneic HCT patientsallogeneic: transplanting cells, tissues, or organs from a donor of the same species who is not genetically identical to the recipientHCT: Hematopoietic Stem Cell Transplantation is a treatment method used to fundamentally treat diseases such as leukemia(백혈병) where abnormalities occur..