Explaining Correlated Features in Machine Learning Models
Description
Tools for exploring effects of correlated features in predictive
models. The predict_triplot() function delivers instance-level explanations
that calculate the importance of the groups of explanatory variables. The
model_triplot() function delivers data-level explanations. The generic plot
function visualises in a concise way importance of hierarchical groups of
predictors. All of the the tools are model agnostic, therefore works for any
predictive machine learning models. Find more details in Biecek (2018)
.