What are the steps in a Scikit-learn pipeline?
A Scikit-learn pipeline typically includes steps like data preprocessing, model training, and evaluation.
Can you explain what each step involves?
Sure! Data preprocessing includes tasks like scaling and encoding. Model training is where the algorithm learns from the data.
What about model evaluation?
Model evaluation involves assessing the model's performance using metrics like accuracy, precision, or recall.
How do I implement a pipeline in code?
You can use the Pipeline
class from sklearn.pipeline
to chain together your preprocessing and model steps.
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