Explaining Predictions of Arbitrary Model with Feature Contributions - Prof. Igor Kononenko

Yandex School of Data Analysis Conference Machine Learning: Prospects and Applications Acquisition of knowledge from data is a quintessential task of machine learning. The data are often noisy, inconsistent, and incomplete, so various preprocessing methods are used before the appropriate machine learning algorithm is applied. The knowledge we extract this way might not be suitable for immediate use and one or more data postprocessing methods could be applied as well