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boosting

Final GBT model building

This folder contains our code related to feature engineering and training for the final 5 Gradient Boosted (GBT) models. The majority decision of these models give our final skip prediction.

By running 'run_all.sh' script you can reproduce our results.

bash run_all.sh DATA_DIR EXPERIMENT_DIR

You have to specify the following 3 parameters:

  • DATA_DIR: the root folder where your data and pre-generated autoencoder and skip pattern based features reside
  • EXPERIMENT_DIR: the folder where you want to save your models, and predictions
  • MAX_THREADS: the maximum number of threads you can allow to run this code (specify this in the 'run_all.sh' script)