- Predict Health Outcomes of Horses | Kaggle
- Got a bad placing on DataFeeling leaderboard
- The task involves multi-class classification on tabular data.
- The evaluation metric is micro-F1 score.
- Features consist of general data about the horses.
- The solution incorporates light feature engineering, followed by training a CatBoost model with hyperparameters optimized using Optuna.