Altair RISE
A program to recognize and reward our most engaged community members
Nominate Yourself Now!
Home
Discussions
Altair RapidMiner
combining predictions and confidence values
cgkolar
Hello. This is a general process questions and it may simply show that I have a fundamental misunderstanding of what I am doing. I have two example sets with the same outcome labels and mostly the same variables, the smaller set of the two have some new values that were not recorded in the more distant past.
I have a test set of new students that I would like to predict the outcome for. Both models now do this nicely (thank you messages at the end of my other post in this forum). I am wondering, then, if there is an appropriate way of taking the two sets of predictions and combining them. Obviously the students who are high risk in both sets of results are of interest, but I am wondering if there is an accepted method for reducing the number of false positives by cross checking the predictions between the two sets of results. Cheers,
--crhis
Find more posts tagged with
AI Studio
Performance
Comments
There are no comments yet
Quick Links
All Categories
Recent Discussions
Activity
My Discussions
Unanswered
日本語 (Japanese)
한국어(Korean)
Groups