How do I use pipelines in scikit-learn?

How do I use pipelines in scikit-learn?

Pipelines in scikit-learn help streamline the process of building machine learning models by chaining together multiple steps.

Can you give me an example of a pipeline?

Sure! A simple example is a pipeline that includes a scaler and a classifier, like this: Pipeline([('scaler', StandardScaler()), ('classifier', LogisticRegression())]).

What are the benefits of using a pipeline?

Using a pipeline ensures that all steps are executed in the correct order, simplifies code, and helps prevent data leakage.

How do I evaluate a model using a pipeline?

You can use cross-validation with the pipeline by passing it to cross_val_score(), which will handle the training and evaluation.