How can I tune the hyperparameters of multiple models simultaneously using GridSearchCV in scikit-learn?

I have several machine learning models that I want to train and tune using GridSearchCV. Right now, I’m doing this one by one, which is very time-consuming. I know that I can use the Pipeline and GridSearchCV classes in scikit-learn to automate this process, but I’m not sure how to set it up correctly.

Can someone provide an example of how to use Pipeline and GridSearchCV to tune the hyperparameters of multiple models simultaneously? Also, are there any better ways to do this that I should be aware of?

Here’s the code that I’ve tried so far:

However, I’m not getting the results that I expect. What am I doing wrong?

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