Titanic survival classification, Ecole des Mines 2016/17

Paris Saclay Center for Data Science

Titanic RAMP: survival prediction of Titanic passengers

Benoit Playe (Institut Curie/Mines ParisTech), Chloé-Agathe Azencott (Institut Curie/Mines ParisTech), Alex Gramfort (LTCI/Télécom ParisTech), Balázs Kégl (LAL/CNRS)


This project is an initiation project to introduce RAMP and make you comfortable with its functioning. The goal is to develop prediction models able to identify people who survived from the Titanic shinking based on gender, age and ticket's information. The data we'll manipulate is from the Titanic kaggle challenge.
  • Submissions will open at (UTC) 2000-01-01 00:00:00
  • When you submit, your submission is sent to be trained automatically. The jobs may wait some time in a queue before being run so be patient.
  • Pending (untrained) and failing submissions can be resubmitted under the same name at an arbitrary frequency.
  • Once your submission is trained, it cannot be deleted or replaced.
  • After each succesfully trained submission, you have to wait 900s to resubmit.
  • The leaderboard is in "hidden" mode until (UTC) 2000-01-01 00:00:00 which means that all scores are visible, but the links pointing to the code of the participants are hidden. After (UTC) 2000-01-01 00:00:00, all submitted codes are public. You will be encouraged to look at and reuse each other's code.