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Ignacio Sevilla, 11/25/2013 08:31 AM

SG separation challenge

Now that several people are testing their own approaches:

  • Cut-based with DESDM info (Eli, Diego, Nacho, Ryan...).
  • Multi-class (Maayane)
  • Random Forests (Ryan)
  • Boosted Decision Trees (Nacho)
  • Alternative Neural Network with probabilistic output (Chris Bonnett).

I think the time is right and the codes are mature to launch a specific SG separation challenge, mimicking the successful photo-z WG exercise.

We have to establish:

  • The training/validation/testing sample (COSMOS, others).
  • The metrics (Fixed cut, Fixed purity, Fixed Efficiency, ROC -- see example below).
  • The schedule.