Titanic Survival

Overview

Predict which passengers survived the Titanic shipwreck. This classic binary classification challenge uses real passenger data to explore feature engineering and model selection.

Data Description

The dataset contains demographics and travel information for 891 training passengers:

• PassengerId — Unique identifier
• Survived — Target variable (0 = No, 1 = Yes)
• Pclass — Ticket class (1 = 1st, 2 = 2nd, 3 = 3rd)
• Name — Passenger name
• Sex — Gender
• Age — Age in years (fractional for children under 1)
• SibSp — Number of siblings/spouses aboard
• Parch — Number of parents/children aboard
• Ticket — Ticket number
• Fare — Passenger fare
• Cabin — Cabin number
• Embarked — Port of embarkation (C = Cherbourg, Q = Queenstown, S = Southampton)

The test set contains 418 passengers without the Survived column.

Evaluation

Submissions are scored using accuracy — the percentage of correctly predicted survival outcomes.

$$\text{Accuracy} = \frac{\text{Correct Predictions}}{\text{Total Predictions}}$$

Submission Format

Submit a CSV with exactly two columns: