The induction of decision trees is an example of ______________ learning.

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Question restatement: The induction of decision trees is an example of ______________ learning.

Option 1: Unsupervised Learning
Reasoning: Unsupervised learning involves patterns or structure discovery in data without labeled outputs. Decision tree induction typically relies on labeled data to learn mappings from inputs to outputs, so this option is incorrect for standard induction of decision trees.

Option 2: Lazy Learning
Reasoning: Lazy learning (e.g., k-nearest neighbors) defers computation until query time and does not build a general model during training. Decision tree induction, however, builds a general model or hypothesis during training, so this option is not an accurate label for how decision trees are learned.

Option 3: Eagar Learning
Reasoning: The term appears to be a misspelling of 'Eager Learning.' If interpreted as 'Eager Learning,' it correctly describes a category of learning algorithms that construct a model before queries (as opposed to lazy learners). Decision tree induction is indeed an eager learning process because it builds a tree model from the training data in a single upfront step. The spelling error does not change the underlying meaning.

Option 4: Supervised Learning
Reasoning: Supervised learning uses labeled training data to learn a function mapping inputs to outputs. Decision tree induction typically uses class labels or target values to split data and form decision rules, which fits the supervised learning paradigm. Therefore, this option is also correct in the standard context.

In summary, the induction of decision trees is best described as an eager learning process (when interpreted as 'Eager Learning') and as supervised learning, since it relies on labeled data to guide the tree-building process. The other options do not align with how decision tree induction operates: unsupervised lacks labels, and lazy learning delays model construction until query time. The misspelling in 'Eagar Learning' should be noted as a likely typographical error for 'Eager Learning.'

The induction of decision trees is an example of ______________ learning.

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