Question

Explain the advantages and disadvantages of eager and lazy classification

Answer 1

Lazy learning- case based reasoning .

lazy methord may consider query instance when deciding how to generalize beyond the training data.

eager learning- decision tree

eager method cannot since because they have already chosen global approximination

Answer 2

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Compare the advantages and disadvantages of eager classification (e.g., decision tree, Bayesian, neural network) versus lazy classification (e.g., k-nearest neighbor, case-based reasoning).....