The Akaike information criteria (AIC) or the corrected Akaike information criteria(AICc) can be used to compare alternative models chosen by the classification tree.
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Q39: SCENARIO 14-2
The treemap below shows the amounts
Q40: SCENARIO 14-1
The table below contains the sparklines
Q42: The likelihood ratio chi square statistic G2be
Q43: Successful implementation of a regression tree requires
Q47: The Akaike information criteria (AIC) or the
Q48: SCENARIO 14-3
is a measure of the probability
Q50: Splitting of a node might be followed
Q51: The result of the regression tree is
Q53: Splitting is always followed by pruning in
Q60: Successful implementation of a classification tree requires
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