Building an AI to predict human age from a blood sample

Re:Building an AI to predict human age from a blood sample by starchild_3001 on Monday March 09, 2020 @03:22AM (#22523573)

> Therefore I first split the data into training and testing sets at a ratio of 9:1, and selected the 25 most correlated features in the training set. Each of these features had a correlation with age between 0.83 and 0.94.

> The data was then split into training and testing sets at a ratio of 9:1, and fed into a sequential neural network.

What?? I thought it was split already.

(How training and test sets were obtained sounds fairly confusing. Did the author make sure there's no "data snooping" ?)

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Re:Building an AI to predict human age from a blood sample by ruborcalor on Monday March 09, 2020 @11:13AM (#22526014)

I apologize for the confusion, i've since removed this typo.

The data is only split once, before using a correlation test to select the features that the model would be trained on. As far as I can tell there is no data snooping occurring because the data is split into train and test sets before any decision are made.

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