Welcome to the year 2912, where your data science skills are needed to solve a cosmic mystery. The Spaceship Titanic was an interstellar passenger liner launched a month ago with almost 13,000 passengers on board, transporting emigrants from our solar system to three newly habitable exoplanets.
While rounding Alpha Centauri en route to its first destination—the torrid 55 Cancri E—the unwary Spaceship Titanic collided with a spacetime anomaly hidden within a dust cloud. Though the ship stayed intact, almost half of the passengers were transported to an alternate dimension! To help rescue crews and retrieve the lost passengers, you are challenged to predict which passengers were transported by the anomaly using records recovered from the spaceship’s damaged computer system.
This is a Getting Started competition created for people who have little to no machine learning background. It is a non-competitive way to get familiar with Kaggle’s platform, learn basic machine learning concepts, and start meeting people in the community. These competitions have no cash prize and are on a rolling timeline.
Submissions are evaluated based on their classification accuracy, the percentage of predicted labels that are correct. The submission format requires a CSV file containing PassengerId and Transported (True/False).