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Annotation of a discussion post about feature engineering ideas:https://www.kaggle.com/competitions/equity-post-HCT-survival-predictions/discussion/550863 CIBMTR - Equity in post-HCT Survival PredictionsImprove prediction of transplant survival rates equitably for allogeneic HCT patientswww.kaggle.comFeature Engineering IdeasHi everyone! My current best CV score and LB score (CV 0.683 and LB 0.6..

https://dongsunseng.com/entry/CIBMTR-Equity-in-post-HCT-Survival-Predictions-11-ESP-EDA-which-makes-sense-%E2%AD%90%EF%B8%8F%E2%AD%90%EF%B8%8F%E2%AD%90%EF%B8%8F%E2%AD%90%EF%B8%8F%E2%AD%90%EF%B8%8F-AFT-Loss-func-sol-1 CIBMTR - Equity in post-HCT Survival Predictions #11 ESP EDA which makes sense ⭐️⭐️⭐️⭐️⭐️ (AFT Loss func solAnnotation post about AFT loss function solution:https://www.kaggle.com/c..

Annotation of this discussion: https://www.kaggle.com/competitions/equity-post-HCT-survival-predictions/discussion/550152 CIBMTR - Equity in post-HCT Survival PredictionsImprove prediction of transplant survival rates equitably for allogeneic HCT patientswww.kaggle.comDeep understanding of (C-index) evaluation measure for better modelI will try to explain the C-index evaluation measure of the th..

Annotation post about AFT loss function solution:https://www.kaggle.com/code/ambrosm/esp-eda-which-makes-sense ESP EDA which makes sense ⭐️⭐️⭐️⭐️⭐️Explore and run machine learning code with Kaggle Notebooks | Using data from CIBMTR - Equity in post-HCT Survival Predictionswww.kaggle.comEquity in survival predictions: EDA which makes senseThis notebook showsAn exploratory data analysisSurvival fu..

2025.02.08 기준  3월 말부터 공익 근무를 앞둔 25세 학부 졸업생임(만 23세) 수입:공익 월급:이병 2개월: 86만 - 55만(군적금) = 31만일병 6개월: 96만 - 55만(군적금) = 41만상병 6개월: 120만 - 55만(군적금) = 65만병장 7개월: 150만 - 55만(군적금) = 95만군적금 제외 월급: 62만 + 246만 + 390만 + 665만 = 1363만군적금: 약 2360만교통비 + 식비: 420만1363만 + 2360만 + 420만 = 약 4143만용돈: 월 60만저축5월 만기 적금: 900만2월 만기 isa: 약 550만지출:차 보험비: 약 200만헬스장, mma 체육관, ott, 유튜브 프리미엄 + 뮤직, 프로틴 : 매달 약 20만+a: 기름값목표대략 1500만원 ..

Annotation of the discussion about AFT loss function:https://www.kaggle.com/competitions/equity-post-HCT-survival-predictions/discussion/550563 CIBMTR - Equity in post-HCT Survival PredictionsImprove prediction of transplant survival rates equitably for allogeneic HCT patientswww.kaggle.comA general Understanding for AFT Loss functionMy notebook using AFT Loss function is [CV0.665 LB0.666]cat+xg..

Annotation of discussion and kernel for NN Solution from Chris DeotteDiscussion Link:https://www.kaggle.com/competitions/equity-post-HCT-survival-predictions/discussion/550343 CIBMTR - Equity in post-HCT Survival PredictionsImprove prediction of transplant survival rates equitably for allogeneic HCT patientswww.kaggle.comKernel Link:https://www.kaggle.com/code/cdeotte/nn-mlp-baseline-cv-670-lb-6..

Annotation post on discussion about finding the best target transformationhttps://www.kaggle.com/competitions/equity-post-HCT-survival-predictions/discussion/550835 CIBMTR - Equity in post-HCT Survival PredictionsImprove prediction of transplant survival rates equitably for allogeneic HCT patientswww.kaggle.comFinding the best target transformationThe competition task can be interpreted as predi..

Introduction post about AFT modelhttps://www.kaggle.com/competitions/equity-post-HCT-survival-predictions/discussion/550141 CIBMTR - Equity in post-HCT Survival PredictionsImprove prediction of transplant survival rates equitably for allogeneic HCT patientswww.kaggle.comFirst saw this conversation about AFTHost paper link: https://proceedings.mlr.press/v206/norcliffe23a/norcliffe23a.pdfAbove Sur..

Annotation of Chris Deotte's discussion about "How To Train XGBoost with Survival Loss".https://www.kaggle.com/competitions/equity-post-HCT-survival-predictions/discussion/550141 CIBMTR - Equity in post-HCT Survival PredictionsImprove prediction of transplant survival rates equitably for allogeneic HCT patientswww.kaggle.comHow To Train XGBoost with Survival LossThis competition involves trainin..