> ML_DATASET // TITANIC-DISASTER-SURVIVAL_v1.0
Titanic: Machine Learning from Disaster
Kaggle / British Board of Trade · Maritime History & Survival Analysis · 891 training passengers, 11 features
Maritime History & Survival AnalysisCC-BY-SA-4.0891 training passengers, 11 featuresopen
Dataset Profile & Characteristics
Label Type:Binary survival (0: Deceased, 1: Survived)
Languages:en
License Tier:copyleft
Modalities:tabular
Intended Use
- Introductory tabular machine learning education and missing value imputation benchmarking
Prohibited / Discouraged Use
- Modern maritime evacuation modeling
Bias, Leakage & Privacy Risk Analysis
Privacy / Sensitive Data Risks:
Historic passenger passenger manifest names and cabin assignments from 1912.
Known Bias:
Severe gender and passenger class survival protocol ("women and children first").
Known Benchmark Leakage:
Sex, Pclass, and Cabin deck position largely determine survival outcome.