Confidence on Linear Discriminant Analysis
outlier
New Altair Community Member
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
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