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
Interpreting RapidMiner regression accuracy results
Contributor II
Hi, forgive me for asking such a simple question, but is "class recall" actually how well a model performs in predicting classes? At first I thought "class precision" would provide this information, but when testing the models my results consistently add up to "class recall".
Tagged:
0
Best Answer
-
sgenzer Administrator, Moderator, Employee-RapidMiner, RapidMiner Certified Analyst, Community Manager, Member, University Professor, PM Moderator Posts: 2,959
Community Manager
Hi @Casper72 there's a pretty good video on confusion matrices on the RapidMiner Academy:
https://academy.rapidminer.com/learn/video/introduction-to-performance-measurement
Scott
5
Answers
-
Thank you so much!
1 -
Update: the ordering of numbers I get in the confusion matrix does not correspond to what I see in the "Predictions" tab. When I manually calculate class precision and class recall from predictions vs actual values, it looks like the confusion matrix has switched the values around(?) from:
TruePositive FalsePositive
FalseNegative TrueNegative
to:
TruePositive FalseNegative
FalsePositive TrueNegative
0