> It’s super important that your training inputs includes all the information your model will need to make predictions. In this case, I included the post title,

> It’s super important that your training inputs includes all the information your model will need to make predictions. In this case, I included the post title, author, date, and content. All of those factors could be relevant to the chance a story gets voted up. You would do better to leave out dates and authors. Do you really want the model to hone in on dates & authors? If you just trained on those would it create anything useful? It can’t for dates, since it isn’t getting any future date examples to prepare for future dates. I suppose you could argue that month & day matter. But surely that would be a much lower quality discriminator than forcing the model to stay focused on title & content. Similarly with author. You can find out which authors produce content with the most upvotes with a simple calculation. But again, is that the discriminator you want the model to use? Or the title & content? Because it will use the easiest discriminator it can.