Multiple Choice
We have performed a supervised classification on a dataset containing 100 test set instances. Eighty of the test set instances were correctly classified. The 95% test set accuracy confidence boundaries are:
A) 76% and 84%
B) 72% and 88%
C) 78% and 82%
D) 70% and 90%
Correct Answer:

Verified
Correct Answer:
Verified
Q3: Data used to optimize the parameter settings
Q4: Selecting data so as to assure that
Q5: If a real-valued attribute is normally distributed,
Q6: The average squared difference between classifier predicted
Q7: The hypothesis of no significant difference.<br>A) nil<br>B)
Q9: A decision tree is built to determine
Q10: The correlation coefficient for two real-valued attributes
Q11: We have built and tested two supervised
Q12: Bootstrapping allows us to<br>A) choose the same
Q13: The correlation between the number of years