Because different classification techniques will perform better for different data sets, ensemble models consider multiple classification techniques before selecting the best classification technique to use for a particular data set.
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Q8: The process of assigning items to prespecified
Q9: The confusion matrix for a classification tree
Q10: The confusion matrix shows the number of
Q11: One approach to avoid overfitting a classification
Q12: To "overfit" the data is to adjust
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Q18: The best value of k to use
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