Team YNC Hacks (Yale-NUS) at Data Science Game 2016

[2016-11-14 Mon 19:43:02] event: DataScienceSG

Approach for the image classification task

• preprocessing
  • uniform image size
  • rotate images to get more training data
  • L2 regularization
• did not access to much hardware resources
• models
  • Alexnet
  • Inception V3
  • Residual Network
• implementation
  • Lasagne
  • Tensorflow
  • Theano
• ensemble
  • majority vote
  • weighted vote based on accuracy on test data

Approach for the quote conversion challenge

• important to understand the data attributes
• customer looking for quotes for multiple cars likely not going to convert
• create features to identify users who are not serious about buying
• ensembling of several XGBoost models
• difference from the best teams
  • they did not work overnight
  • were mostly monitoring the running processes
  • most of the work was automated
  • went through the AXA quote process