SupplementaryMaterial: ModelClassReliancefor RandomForests

The packages developed as part of this work are discussed below and made available via the above notebooks. This simply calls the code fromhttps://github.com/charliemarx/ Figure 1 shows the the diagnostic graphs as considered in [4]. Note that the notebook does not haveafixedseed and this instability can beexplored by re-runningthenotebook. SHAP values are calculated on an identical RandomForestClassifier as used for the RF MCR. Thegraphs generated bytheNotebooks areperMCR estimation method, rather thanthe comparison graphs shown in the paper.