"Is assigning custom weights to attributes and using those custom weights in algorithms possible?"

max_groh95

I want to assign/set a custom weight to a binominal attribute, so that this attribute's impact on my prediction is much higher. I already know how to set custom weights with "weight by user specification" but i do not know how to input those weights in predictions/algorithms. Is there a possibility to do this in rapidminer?

Kind Regards

Max

Telcontar120

Of course!  Although not all machine learning algorithms can utilize weights.  If you select any learner operator and then press F1 or right click and view operator information, you will get a helpful summary that lets you know whether that learner accepts weighted examples.  See the attached screenshot for neural nets, for example.  

 

As long as the selected operator can use weights, you don't have to do anything special, just make sure you assign your weights in a prior step in your process and when the operator reads your exampleset, it will use the weights automatically.  There is also a helpful web app that tells you which learners can accept weights in RapidMiner, which you can find here (check under advanced options at the bottom on the left): http://mod.rapidminer.com/#app

 

 

 

 

operator information.PNG