Our team at PayPal has developed a new Python package - Iguanas - for generating and optimising rules for binary classification problems - in our case, the identification of fraudulent behaviour. We'll show how Iguanas can be applied to generate and optimise these rules for use in a rules-based system.
Although many use cases involving binary classification leverage complex machine learning models, there is still a need for rules-based systems, due to their simplicity and interpretability.
Our team at PayPal has developed a new Python package - Iguanas - for generating and optimising rules for binary classification problems - in our case, the identification of fraudulent behaviour. We'll show how Iguanas can be applied to streamline the creation of a rules-based system.