Data Science Asked by caspar on January 1, 2021
Using Python, I created a neural network to perform predictions on a binary class dataset (e.g. will a passenger survive the Titanic?). I am using the SHAP package to explain individual predictions. For all of the instances in this dataset, the visualization outputted by SHAP has an output value of 0 and the higher/lower graph is empty (there are no features listed).
shap.force_plot(k_explainer.expected_value[0], k_shap_values[0], label_test_X.iloc[0])
When I use a different dataset and run the line above, SHAP outputs a graph and lists features.
What does an empty SHAP graph mean, especially in this case where there is an empty graph for each instance of a dataset? I am reading the documentation to help understand this situation, but I appreciate any insight into this.
Thank you in advance for the help!
that means shap values were nan.Model was not able to compute shap values.
Answered by Arpit Sisodia on January 1, 2021
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