We are pleased to share with you our first FAQctuary of the year on "ICC, deviance, AUC : What are the differences ?".
Assessing performances of different models is essential in modelling processes. Many measures exist to determine these performances and draw conclusions. This FAQctuary compares the behaviour of three measures on different datasets. The measures under consideration are the integrated concentration curve, the deviance and the area under the curve (AUC).
This FAQctuary also compares models such as GLM, GAM and GBM using different measures. It allows to have an idea of the improvement each model brings to the previous one. In our upcoming training :Insurance Analytics: A primer, the differences and improvements between these models as their advantages and drawbacks will be studied in details. More models will also be covered.
To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data. Not consenting or withdrawing consent, may adversely affect certain features and functions.
The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network.
The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.
The technical storage or access that is used exclusively for statistical purposes.The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.
The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.