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