The Altair Community is migrating to a new platform to provide a better experience for you. In preparation for the migration, the Altair Community is on read-only mode from October 28 - November 6, 2024. Technical support via cases will continue to work as is. For any urgent requests from Students/Faculty members, please submit the form linked here
Potential Problem Detected (Learner ignore example weights)
Hi All,
I want to try Adaboost with my dataset . RandomForest is available in Adaboost. But "Input example set has example weights,but the learner will ignore them" warning is displayed.
I wonder that why does it occur ?
Am I using Adaboost correctly ?
In this case, Can I use result of algorithm ?
Thanks. I attached my process and dataset
I want to try Adaboost with my dataset . RandomForest is available in Adaboost. But "Input example set has example weights,but the learner will ignore them" warning is displayed.
I wonder that why does it occur ?
Am I using Adaboost correctly ?
In this case, Can I use result of algorithm ?
Thanks. I attached my process and dataset
Tagged:
0
Best Answer
-
Telcontar120 RapidMiner Certified Analyst, RapidMiner Certified Expert, Member Posts: 1,635 UnicornThe error is just a warning that Random Forest ignores example weights. You must have added weights to your dataset at some earlier point? You can find whether a given ML algorithm can accept weights by highlighting it and pressing F1 (or right clicking and selecting Operator Information), and the first section titled "Capabilities" will let you know if it can accept weights or not.2