2 effective ways to explain your predictions (Ep. 163)

<p>Our Sponsor</p> <p><a href='https://amethix.com'>Amethix</a> use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals, logistics, energy. Amethix provide solutions to collect and secure data with higher transparency and disintermediation, and build the statistical models that will support your business.</p> <p> </p> <p> </p> <p>References</p> <ul><li> <p>Fisher, Aaron, Cynthia Rudin, and Francesca Dominici. “Model Class Reliance: Variable importance measures for any machine learning model class, from the ‘Rashomon’ perspective.” <a href='http://arxiv.org/abs/1801.01489'>http://arxiv.org/abs/1801.01489</a> (2018).</p> </li> <li>Python SHAP <a href='https://github.com/slundberg/shap'>https://github.com/slundberg/shap</a></li> </ul> <p> </p> <p> </p>