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 pipeline could include a scaler for preprocessing and a classifier for prediction, like this: Pipeline([('scaler', StandardScaler()), ('classifier', LogisticRegression())]).

What are the benefits of using pipelines?

Pipelines help in organizing code, reducing the risk of data leakage, and making it easier to perform cross-validation.

How do I evaluate a pipeline's performance?

You can use cross_val_score to evaluate the performance of a pipeline by passing it along with your data and target.