voting with weight factor

s_ghorbani

Warm hello
I am going to use some algorithms for prediction by voting because of promotion of accuracy absolutely I want to give a weight factor to every operator based on it's accuracy in independent prediction. Please guide me how can I do it.

Best regards
Saeed

MartinLiebig

Hi @s_ghorbani ,

do you want to set these weighting factors manually or let them be determined by an algorithm?

Cheers,

Martin

s_ghorbani

Dear Martin
So thanks.
I want to set these factors automatically by algorithms. 
Cheers
Seed

Papad

@mschmitz
Can you please answer for both situations?
Thanks in advance.

Telcontar120

I'm interested in this as well.  There is an Vote (Ensemble) algorithm that allows you to easily combine predictions from multiple ML operators, but this simply uses majority voting---it does not allow you to weight the combined prediction in any way.  I've already suggested the addition of "weight by confidence" to the Vote operator, which would be helpful at the individual example level, but what you are asking about it is weighting at the overall operator level based on some global measure of performance, presumably.  I don't know of any easy way to accomplish this in RapidMiner (I can imagine how it could be done but very manually using Generate Attributes to create your own weights and then average your predictions by using those weights).