Multiple Choice
A data mining algorithm is unstable if
A) test set accuracy depends on the ordering of test set instances.
B) the algorithm builds models unable to classify outliers.
C) the algorithm is highly sensitive to small changes in the training data.
D) test set accuracy depends on the choice of input attributes.
Correct Answer:

Verified
Correct Answer:
Verified
Q1: Which statement is true about the decision
Q2: The K-Means algorithm terminates when<br>A) a user-defined
Q3: Which statement is true about the K-Means
Q5: Association rule support is defined as<br>A) the
Q6: An evolutionary approach to data mining.<br>A) backpropagation
Q7: Use these tables to answer questions
Q8: A genetic learning operation that creates new
Q9: This approach is best when we are
Q10: Use these tables to answer questions
Q11: Construct a decision tree with root