Since most machine learning (ML) algorithms are designed for numerical inputs, efficiently
encoding categorical variables is a crucial aspect in data analysis. A common problem are …

In predictive modeling, high cardinality features (ie unordered categorical predictor variables
with a high number of levels) often pose problems, as most supervised machine learning …

This thesis focuses on automotive fraudulent claims detection, a particular Property and
Casualty (P&C) insurance product. By analyzing the customer's information, we try to define …