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book/chapters/chapter12/model_interpretation.qmd

@@ -315,7 +315,7 @@ The `sample.size` argument (default is `sample.size = 100`) can be increased to
 #| fig-cap: Shapley values for Charlie. The actual prediction (0.63) displays the prediction of the model for the observation we are interested in, the average prediction (0.71) displays the average prediction over the given test dataset. Each horizontal bar is the Shapley value (phi) for the given feature.
 #| fig-alt: 10 bar plots of Shapley values, one for each feature. x-axis says 'phi' and ranges from -0.1 to 0.05. The strongest positive contributions are from the `duration`, `purpose` and `property` variables. The strongest negative contributions are `status`, `amount`, and `savings`.
 #| label: fig-iml-shapley
-shapley = Shapley$new(predictor, x.interest = Charlie,
+shapley = Shapley$new(predictor, x.interest = as.data.frame(Charlie),
   sample.size = 1000)
 shapley$plot()
 ```