03-03-2016 04:05 AM
I am trying to create ensemble of 3 models:
1. Regression, cumulative events percentage captured at 20%: 56.8
2. Neural Network, cumulative events percentage captured at 20%: 59.3
3. SVM, cumulative events captured at 20%: 54.01
3. Decision Tree, cumulative events captured at 20%: 48.05
Ensemble, cumulative results captured at 20%: 54.18
My target is binary. and In ensemble, I have set the posterior probability to maximum. So it will take the maximum probability out of all models, I believe.
03-03-2016 12:28 PM
Right, maximum will take the maximum posterior probability of your models.
What is the misclassification for your 3 models and their ensemble?
03-04-2016 03:23 AM
03-04-2016 09:49 AM
My bad, I don't know how to count... I meant to ask, the Misc of your 4 models and their ensemble.
I am curious if the ensemble of all 4 models is getting worse--and if the Tree or the SVM are tripping it off...
Since you are at it, can you include the classification charts as well?
Maybe that will give us a better light of what's going on.