Triple

Target class: feature encoding method
Context triple: [OneHotEncoder, instanceOf, feature encoding method]

• A. encoding scheme
  An encoding scheme is a systematic method for converting information from one representation or format into another, typically to enable storage, transmission, or processing by specific systems.
• B. feature
  A feature is a distinct, measurable property or characteristic of a system, product, or dataset that contributes to its functionality, behavior, or descriptive representation.
• C. unsupervised learning method
  An unsupervised learning method is a type of machine learning approach that discovers patterns, structures, or groupings in unlabeled data without predefined output targets.
• D. scikit-learn transformer chosen
  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.
• E. neural network design method
  A neural network design method is a systematic approach for selecting, structuring, and configuring neural network architectures and training procedures to solve specific computational or learning tasks.
• F. None of above.