Table 6 Summary of strengths and weaknesses of employed explanatory techniques.
From: Soft-computing models for predicting plastic viscosity and interface yield stress of fresh concrete
Technique | Benefits | Limitations | Reference |
|---|---|---|---|
Shapely Additive Explanatory Analysis (SHAP) | • A unified measure of input feature importance across models • Gives interpretations at both local and global level • Easy to implement • Provides feature importance in the form of additive feature attributions • Results can be easily represented using a variety of plots | • Different plots convey different information which can lead to confusion | |
Individual Conditional Expectation (ICE) | • Very useful tool to check global interpretability of models • Depicts detailed view of feature variation on the predicted output • Provides the relationship between different inputs and outcome in the form of a curve • Useful for capturing heterogeneity in feature effects • Easy to interpret and implement | • Can be visually challenging to interpret for complex feature relations • Provides only visual analysis |
