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The QRT prediction Challenge 2024:

Data Sets

$ mkdir train 
$ mkdir test
  • To run the model directly just put your training Data under a folder named train
    and testing Data under test.

  • Set your environment with:

    $ ./set_env.sh

Benchmark

The XGBoost benchmark model can be found under the benchmark folder

Analysis

An advanced analysis of the problem's Data can be found in the analysis folder

Model

  • model_wandb.py to run the model with weight&biases tracking
  • model.py raw model for local runs

Authors:

Abdellah Belaid Marouan Talaa Reda Ben Abbou

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