Machine learning predictions of nuclear level density parameters

Artificial Intelligence (AI) and Machine Learning (ML) refers to methods for the next generation of algorithms which are self learning in nature. ML is an application of AI which provides the machine to learn from 'experience' without actually being programmed. This 'experience' is gained by making models based purely on data. In this work, the ML algorithm of Gradient boosted trees (GBT) is trained on the nuclear level density parameter. Level density parameter (LDP) is the most important extracted quantity to understand nuclear observables like neutron resonances and reaction cross sections