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I have checked that this issue has not already been reported here.
I have confirmed this bug exists on the latest version of pycaret.
I have confirmed this bug exists on the master branch of pycaret (pip install -U git+https://github.com/pycaret/pycaret.git@master).
The AUC is 0.0000 metrics. This bug is present in 3.3.0 and 3.3.1 but working properly in 3.2.0. Tested using Python 3.10.9.
You can use de dataset iris. this error ... is the case for create_model() and compare_models()
Expected behaviour with works fine in Pycaret 3.2.0 is:
Actual results are all 0.00000 for each "AUC Metrics" entry in the table
PYCARET 3.3.1
The text was updated successfully, but these errors were encountered:
Additionally, Recall == Accuracy in all cases.
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@JuanBaldemarG @sandorkonya can you test latest version 3.3.2 and give feedback ?
Doesn´t work completely...
Have the same problem the version 3.3.2. AUC metrics doesn`t work in pycaret
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pycaret version checks
I have checked that this issue has not already been reported here.
I have confirmed this bug exists on the latest version of pycaret.
I have confirmed this bug exists on the master branch of pycaret (pip install -U git+https://github.com/pycaret/pycaret.git@master).
Issue Description
The AUC is 0.0000 metrics. This bug is present in 3.3.0 and 3.3.1 but working properly in 3.2.0. Tested using Python 3.10.9.
Reproducible Example
Expected Behavior
Expected behaviour with works fine in Pycaret 3.2.0 is:
Actual Results
Installed Versions
PYCARET 3.3.1
The text was updated successfully, but these errors were encountered: