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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
Features for diabetes prediction include glucose level, insulin level, BMI, age, blood pre…
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Dear Dr. Yang,
Thank you for sharing the brain age TSCAN model you created on GitHub! It seems extremely interesting. I have been trying to use it on some brain scans in my possession, but I am get…
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Predictions are currently pulled every 60 seconds, as are trip positions. Unfortunately, if a client refreshes predictions the second before a pull, then the data age at client refresh is almost a ful…
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Vanshika Mishra
- [âś… ] Hacktoberfest2021 Participant
- [âś… ] Contributor
## I'd like to make a Medical Insurance Cost Prediction Model using Linear Regression.
- It uses Age, Sex, bmi, chil…
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I'm working on a script that is supposed to explain the results of an XGBoost ML-model. The model contains, among others, one feature with a large number of categorical levels (approx. 2000). I notice…
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Here are some thoughts concerning fairness evaluation:
### Protected attributes
*Extraction*: As methodologies may implement pre-, in- or post-processing to enhance algorithmic fairness, I think w…
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**Describe the bug**
With the agents and prediction api I want to avoid using agent memory node since it's sqlite and handle my own memory system so i fault using the history key in the api, but it …
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**Is your feature request related to a problem? Please describe.**
I propose adding a face aging module to the Face-X repository, enabling users to predict and visualize how a person's face might cha…
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When I run decision_tree() with the "rpart" engine, I see that the results of the tune() function's concordance index and also the calculation on a test sample give results less than 0.5, when I expec…
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Hi,
I want to validate your model with in-house data.
I tried to port your model to Python, but I got slightly different risk scores.
Can you provide a validation pipeline in R?
Alternativel…