Dear Alwielland Q. Bello ,

. Item response theory (IRT) is widely used to measure latent abilities of subjects (specially for educational testing) based on their responses to items with different levels of difficulty. The adaptation of IRT has been recently suggested as a novel perspective for a better understanding of the results of machine learning experiments and, by extension, other artificial intelligence experiments.

Conference Paper Making Sense of Item Response Theory in Machine Learning

Regards,

Shafagat

Hi

Maybe this paper can helps you

Article Hybrid approaches to optimization and machine learning metho...