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Hyperparameter tuning (also called hyperparameter optimization) refers to the process of finding the optimal set of hyperparameters for a given machine learning algorithm.

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Question about grid search and KFold

I am trying an example which I am training on a huge dataset 5M (only 4 features) rows with Cudf and CUml and I am using SGD logistic regression because I must predict if the patient if is sick or not …
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