> You can't write a blog post on how to build a statistical model without stating how good the model is in actuality > it is disappointing to see this post onl

> You can't write a blog post on how to build a statistical model without stating how good the model is in actuality > it is disappointing to see this post only do a high-level overview. Yes, it may be a Google trade secret, but there has to be give-and-take. Why exaclty? This is not an academic paper. People who get this feature to show up might be curious about how it works, and 99.9% of them won't understand anything about independence of features, train/test split, etc. Worse, they would find the article too boring and technical. Just knowing that it is powered by a ML algorithm (and not some human input) is enough. I'm not sure why there has to be a give-and-take. The fact that they put links to wikipedia for what Logistic regression is should give a good idea of the intended audience of this blog post.