Partial dependence and ALE plots can be confusing and misleading when interpreting ML models with many correlated features, e.g. in remote sensing. The wiml package implements a new approach that transforms the feature space, but not the training data. How’s that possible? This post walks you through an application of the proposed approach in remote sensing.
