Multiple Choice
Data used to optimize the parameter settings of a supervised learner model.
A) training
B) test
C) verification
D) validation
Correct Answer:

Verified
Correct Answer:
Verified
Related Questions
Q1: Unsupervised evaluation can be internal or external.
Q2: The standard error is defined as the
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)
Q8: We have performed a supervised classification on
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