From the commentary: "we are always more accepting of an expected outcome", which I think says a lot. Random Forests are great, and work well, but sometimes it

From the commentary: "we are always more accepting of an expected outcome", which I think says a lot. Random Forests are great, and work well, but sometimes it feels like there's a world of difference between Kaggle-contest-style short burst projects and long-term "we need maximum accuracy" projects. Other approaches always have a place, and the skill is in knowing when they should be deployed.