Overview

Predict which passengers aboard the interstellar Spaceship Titanic were transported to another dimension during the crash. You are given passenger records (name, age, cabin, travel group, and onboard spending) and must build a classifier that produces a True/False label per passenger.

Practice Skills

• Python
• Feature engineering on mixed categorical, numerical, and text fields
• Binary classification modeling

Evaluation

Goal

Predict the Transported label (True/False) for each passenger in the test set.

Metric

Accuracy, defined as correct predictions / total predictions. The classes are roughly balanced, so accuracy is a faithful summary of performance.

Submission

Format

A CSV with two columns:

• PassengerId: unique identifier for each passenger in the test set.
• Transported: True if the passenger was transported, False otherwise.

PassengerId	Transported
0018_01	False
0019_01	True

See the submission guide for upload instructions.

Tracks

The challenge accepts two submission tracks:

• Public: predict on the public test set and upload the resulting CSV.
• Private: upload your model. It is scored on a held-out private test set. Your code must recursively scan the entire data directory.