Comments (2)
Thank you for pointing this out. I just looked into it and the problem you are seeing is real. The model doesn't have an intrinsic cap, but I can confirm that the model is producing reduced scores for those above 94. This is likely an issue with the training data - the outcome is relatively rare and may not have occurred in older individuals by chance. We are releasing a new model in the next few days and I will make sure to address this then. Until then, I'd recommend truncating the age at 93. So anyone who has an age greater than 93, just set it to 93.
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This has been addressed int he latest model. We have retrained and no longer see this issue. Also, the new model works on ages 18 and up.
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Related Issues (20)
- Add Conda package for windows HOT 7
- Support Python 3.5 HOT 3
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