# 2nd Place Solution

To achieve second place, I used AutoGluon, without applying any feature engineering steps.
The following parameters were used:
model = TabularPredictor(label=,
                        problem_type=,
                        eval_metric=
                        )

model.fit(
    train, 
    time_limit=*,
    excluded_model_types=[],
    presets=)
Public LB = 0.0000000517, Private LB = 0.0000000499