Dacon - Flight Delay Probability Estimation Model
Dacon - Flight Delay Probability Estimation Model
Desciption & Background:
For this project, I used an ensemble of Gradient Boosting Decision Trees where the output probabilities of all models are averaged to get the final predictions. There are two outputs, each represent the probability of being delayed and the other for not delayed.
The code is in python and XGB, CatBoost, and LightGBM model are used as base learner.
Keywords: Machine Learning, GBDT, Ensemble, Imbalanced
Result Summary:
Logloss: Β 0.65078
Dacon Leaderboard Ranking: Β 5 / 499 (Top 1%)