Triple

Target class: scikit-learn utility
Context triple: [Pipeline (scikit-learn), instanceOf, scikit-learn utility]

• A. scikit-learn class chosen
  A scikit-learn class is a Python object that encapsulates a specific machine learning component (such as an estimator, transformer, or model selection tool) with a consistent API for fitting to data and making predictions or transformations.
• B. scikit-learn transformer
  A scikit-learn transformer is an object that implements fit and transform methods to learn from training data and apply deterministic data transformations within machine learning pipelines.
• C. machine learning library
  A machine learning library is a collection of tools, algorithms, and interfaces that simplifies building, training, evaluating, and deploying machine learning models.
• D. model selection utility
  A model selection utility is a tool or component that evaluates and compares multiple candidate models using defined criteria to automatically choose the most suitable one for a given task or dataset.
• E. Support Vector Machine classifier
  A Support Vector Machine classifier is a supervised learning model that finds the optimal separating hyperplane (or decision boundary) in a high-dimensional feature space to maximize the margin between different classes for robust classification.
• F. None of above.