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Description of Problem:
I have two datasets, one with a .2 precision floating point value, the other with .10 precision.
Despite the fact that these datasets are roughly the same, Eurybia outputs a 0.98 AUC.
Overview of the Solution:
Detect this kind of technical data mismatch and add a warning to the "Consistency Analysis" view.
Examples:
Blockers:
Definition of Done:
The text was updated successfully, but these errors were encountered:
Description of Problem:
I have two datasets, one with a .2 precision floating point value, the other with .10 precision.
Despite the fact that these datasets are roughly the same, Eurybia outputs a 0.98 AUC.
Overview of the Solution:
Detect this kind of technical data mismatch and add a warning to the "Consistency Analysis" view.
Examples:
Blockers:
Definition of Done:
The text was updated successfully, but these errors were encountered: