Altair RISE

A program to recognize and reward our most engaged community members

Nominate Yourself Now!

Variable Importance

RapidMiner is great for many things except variable importance! All other major DM tools have it. That way, you can also assess the ranked ordered importance of variables in a predictive model. PLEASE!

Find more posts tagged with

AI Studio

Accepted answers

All comments

JEdward

Hmmm... yes, there's nothing obvious that I can see. Some Weka operators might have it built in. Otherwise you may need to use something like the R caret package integrated into your RM process. http://www.jstatsoft.org/v28/i05

DDelen

I am not aware of variable importance on Weka or in R. I think this is what differentiates a professional tool from an experimental one. I cannot understanding the reasoning behind not including Variable Importance in RapidMiner. IT IS UNFORTUNATE!

Andrew2

The Weight By operators allow the influence of attributes on a label to be determined. The output is a set of weights where 1 means the attribute is relevant to the label and 0 means irrelevant.

There is also the Optimize Weights (Forward) operator which can contain a model and this might give something that is useful.

Andrew

JEdward

Hi Andrew & apologies DDelen,

At first I thought I did a quick search on the forum I found this post relating to RandomForests and Variable Importance http://rapid-i.com/rapidforum/index.php?topic=417.0 which sent me off track.

Hopefully that's helped you out.