Hi, the reason is exactly as you said — to make it look nice on the picture. Of course you would like to analyze full value by itself on practice, but for visualization purposes it works just fine. You can try to learn the model longer or choose better priors to reduce this variance.

Co-founder of consulting firm Neurons Lab and advisor to AI products builders. On Medium, I write about proven strategies for achieving ML technology leadership

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