Which statement about outliers is true?
A) Outliers should be identified and removed from a dataset.
B) Outliers should be part of the training dataset but should not be present in the test data.
C) Outliers should be part of the test dataset but should not be present in the training data.
D) The nature of the problem determines how outliers are used.
E) More than one of a,b,c or d is true.
Correct Answer:
Verified
Q1: Use the three-class confusion matrix below
Q2: The average positive difference between computed and
Q3: Another name for an output attribute.
A) predictive
Q4: Classification problems are distinguished from estimation problems
Q6: Use the confusion matrix for Model
Q7: Use the confusion matrix for Model
Q8: Assume that we have a dataset containing
Q9: Use the three-class confusion matrix below
Q10: Which statement is true about neural network
Q11: Unlike traditional production rules, association rules
A) allow
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