Naver connect foundation boostcamp AI Tech pjt
second place(86.54%)
- structure data analysis
EDA - feature engineering - training - test
- feature engineering
label encoding word embedding encoding feature selection quantile transformation threshold optimization
- validation
k-fold cross out validation
- boosting model
LightGBM XGBoost CatBoost Random Forest NGBoost
- Deep Learning model
TabNet
- AutoML hyperparameter tuning
using optuna
- data augmentation
SMOTE
- ensemble