In Model selection piece, use Bayesian Optimization to do hyper-parameter tuning
Look at adding a double lift chart, this will also indicate model diversity for possible ensembling
Or for classification look at confusion matrix and see if two models are doing well on different segments
In Model selection piece, use Bayesian Optimization to do hyper-parameter tuning
Look at adding a double lift chart, this will also indicate model diversity for possible ensembling
Or for classification look at confusion matrix and see if two models are doing well on different segments