I received some requests to provide a version of the model that does not require demographic information (age and sex). Therefore, I trained a model where that information is not required (and, indeed, is ignored if provided).

The model works the same way as the primary model, except it ignores any demographic information provided.

The Cohen’s kappa for this model on the testing set is 0.718, which is a slight (<1%) performance impact as compared to the primary model.

To reiterate, I just trained this model, so it is not in the paper. Furthermore, there were no structural changes to the neural network. The difference is that the input for the demographics is just drawn from a random distribution.

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