Eager classification and lazy classification write their advantages and disadvantages
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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
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
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