Dataset consists of two parts, train and test. There are 132 features. The goal is to predict loss column.

We have categorical and numerical features. categorical features are coded and we dont have its actuall values and numerical columns are scaled.

Data is clean with no probelm but the target is skewed and we apply log function to normalize it.