Machine Learning Interpretability With R

Introduction The two main packages in R for machine learning interpretability is the iml and DALEX. H2o package also has built in functions to perform some interpretability such as partial dependence plots. DALEX and iml are model agnostic as such can be used to explain several supervised machine learning models... [Read More]

Machine Learning Interpretability

Permutation Importance, Partial Dependence Plots, SHAP values, LIME, lightgbm,Variable Importance

Introduction Machine learning algorithms are often said to be black-box models in that there is not a good idea of how the model is arriving at predictions.This has often hindered adopting machine learning models in certain industires where interpretation is key. Examples of such areas include financial institutions who are... [Read More]