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AWeirdDev

AWeirdDev

I am poor.

Models in Library1
Datasets in Library0
Models on Hugging Face3
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Models

Model · Tabular classification

human-disease-prediction

AWeirdDev

Try it on Spaces The yourdata variable should be a vector of zeros and ones. A zero means "False," and a one means "True." Create a vector that pairs with the following symptoms, then the model will predict what disease it might be. It has been reported as 1.0 (100%), but I don't believe it.

Open weights mit sklearn