This may be a strange question, and I’m full of those, but is there any particular reasoning to use log_e(x) as “squishing function” in the Bulldozers (Lesson 1+, at RMSLE)? Could you might as well use log_3(x) or log_1337(x) or log_pi(x), or just some other “squishing function”? I’m not asking for this particular problem, since the problem stated that log_e should be used, but in general for future problems.
I may have misunderstood the the point of using RMSLE, but to my understanding its to even out the differences between training results and validation data into a slightly more handleable size.
Super course and website! Thanks!