Hi CloudX Lab Team,
A clarification regarding a doubt is required wrt AdaBoosting Ensemble ML Algorithm —
Once the Predictors (or Independent Variables or x Variables) are trained, they are assigned different weights based on the Accuracy of the Weighted Training Set ---- This methodology or technique is relevant for AdaBoosting.
Now there is another technique that I have come across, Weighted Average Method. Is this also applicable to Ensemble Trees ML Algorithm???
If answer is in positive,what are the indications for adopting Weighted Average Method? Under what circumstances is this technique applicable?