Interpretability of Machine Learning Models: Application for Lawsuits Prediction in the Energy Sector
Ana Beatriz Lopes Cavalcante · 2020
Machine learning can be regarded as computational techniques for learning probability distributions from data. Interpretable machine learning refers, however, to methodologies that make the learned information understandable to humans. In this tutorial, It will be overviewed the interpretability concepts and methods and their application to lawsuit prediction in the energy sector.