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Project

  • Title: AI competition to predict user inconvenience due to system quality changes
  • Goal: Analyze unidentified system records (log and numerical data) to diagnose user discomfort with changes in system quality
  • Category: Classification, Log Data
  • Tool Used: python, pandas, sklearn, catboost, lightgbm, ngboost
  • Period: Jan, 2021 ~ Feb, 2021

Data

  • Data: System Log Data
  • Shape: (828,624 * 16), (16,554,663 * 6)
  • From: Dacon(LG AI Research)

Evaluation

  • Metric: AUC
  • Public Score : 53th(12.6%) / 0.83775
  • Private Score: 42th(10.0%) / 0.83557