this post was submitted on 26 Nov 2023
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Machine Learning

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Hey guys, begginers doubt:

I am preparing a dataframe for a machine learning model. The purpose of the model is to predict whether people infected with COVID will die or not.

To do this, I am looking for some conditions and symptoms, such as sore throat, cough, comorbidities, gender, and others, and binarizing them into "yes" or "no" or "male" and "female".

I have a problem. One of the variables is "pregnant", but only individuals of the female sex can be pregnant. How can I deal with this variable?

Can I keep it in the dataframe and assign the value "not pregnant" to all male individuals? Or could this harm the model?

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[–] grudev@alien.top 1 points 9 months ago

TIL: ML redditors don't understand sarcasm or the downsides of "accuracy" in model evaluation.