Multiple Choice
Classification problems are distinguished from estimation problems in that
A) classification problems require the output attribute to be numeric.
B) classification problems require the output attribute to be categorical.
C) classification problems do not allow an output attribute.
D) classification problems are designed to predict future outcome.
Correct Answer:

Verified
Correct Answer:
Verified
Q1: Another name for an output attribute.<br>A) predictive
Q2: Given desired class C and population P,
Q4: Assume that we have a dataset containing
Q5: Which statement about outliers is true?<br>A) Outliers
Q6: Use the three-class confusion matrix below
Q7: Which statement is true about prediction problems?<br>A)
Q8: Use the three-class confusion matrix below
Q9: Use the confusion matrix for Model
Q10: Unlike traditional production rules, association rules<br>A) allow
Q11: Use the three-class confusion matrix below