Open berndbischl opened 5 years ago
1) always compare against baseline models, and move from very simply to slightly more complex model
e.g.
simple tuning, simple feature selection
2) visual analysis is always good. e.g ROC but also simple residual and error plots the more you can see the better numbers are mainly good if MANY models are involed
still valid
it would be nice to have a small wrap up lecture, thats summarizes a bit and also gives more hints for practice and lists common mistakes.