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Showing posts from October, 2024

What Makes a "Good" Prophet Model? (2) - Reduce Redundancy

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In my last post , we discussed the importance of avoiding “black box” Prophet models—models so complex and opaque that users struggle to understand the underlying calculations and dependencies. Without clarity, these models can lead to errors, inefficiencies, and unwelcome surprises when something goes wrong. Today, let’s shift our focus to another characteristic of a "good" Prophet model: keeping redundancy low . Let's make the idea simple, redundancy in a Prophet model refers to variables in the model’s library that aren’t actually used in any products within the workspace. If a Prophet model has high redundancy, this means it has thousands of variables available but only a fraction actively contributing to the calculations. 

What Makes a “Good” Prophet Model? (1) - Avoid Black Box

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If you're working in the valuation team of a life insurance company, chances are you've spent a lot of time with Prophet. It’s that powerful tool we use for things like cash flow projections and calculating reserves. But here's the thing—how often do you really stop to think about whether the Prophet model you're using is a 'GOOD' Prophet model ?