Evaluating The Quality Of CausalImpact Predictions

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Evaluating The Quality Of CausalImpact Predictions

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CausalImpact is one of the most popular packages used in SEO experimentation. Its popularity is understandable.

SEO experimentation provides exciting insights and ways for SEOs to report on the value of their work.

Yet, the accuracy of any machine learning model is dependent on the input information it is given.

Simply put, the wrong input may return the wrong estimation.

In this post, we will show how reliable (and unreliable) CausalImpact can be. We will also learn how to become more confident in your experiments’ results.

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