Triple

Target class: lazy learning algorithm
Context triple: [KNN, instanceOf, lazy learning algorithm]

• A. learning rule
  A learning rule is a formal method or algorithm that specifies how a system updates its internal parameters or representations based on experience or data to improve performance over time.
• B. adaptive learning rate method
  An adaptive learning rate method is an optimization technique that automatically adjusts the step size for each parameter during training based on past gradient information to improve convergence speed and stability.
• 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. active learning strategy
  An active learning strategy is a structured approach to teaching and studying that engages learners directly in meaningful tasks—such as problem-solving, discussion, and reflection—to deepen understanding and improve long-term retention.
• E. machine learning paradigm chosen
  A machine learning paradigm is a conceptual framework that defines how models learn from data, including the assumptions, learning objectives, and training procedures that guide the development and application of algorithms.
• F. None of above.