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
Confidence on Linear Discriminant Analysis
I'm trying to get confidence levels for LDA predictions. However, RM will only make the prediction and not give the confidence scores for all possible labels.
The data set includes six independent variables in addition to the "label" variable (there are five different labels). This is an invented data set (I'm using it for a class) with 3000 records in a training file and another 3000 in a scoring file. Other than the two data sets, the only other operators in play are Select Attributes (to remove record ID numbers from both data sets), Set Role, LDA, and Apply Model.
Again, when I run the model, there are predictions for each example in the scoring file, but the "Confidence" columns all read "0".
Any thoughts on how to get confidence values here?
Thanks,
o
The data set includes six independent variables in addition to the "label" variable (there are five different labels). This is an invented data set (I'm using it for a class) with 3000 records in a training file and another 3000 in a scoring file. Other than the two data sets, the only other operators in play are Select Attributes (to remove record ID numbers from both data sets), Set Role, LDA, and Apply Model.
Again, when I run the model, there are predictions for each example in the scoring file, but the "Confidence" columns all read "0".
Any thoughts on how to get confidence values here?
Thanks,
o
Tagged:
0