The average squared difference between classifier predicted output and actual output.
A) mean squared error
B) root mean squared error
C) mean absolute error
D) mean relative error
Correct Answer:
Verified
Q1: A decision tree is built to determine
Q3: We have performed a supervised classification on
Q4: The standard error is defined as the
Q5: If a real-valued attribute is normally distributed,
Q6: The correlation coefficient for two real-valued attributes
Q7: Data used to optimize the parameter settings
Q8: The hypothesis of no significant difference.
A) nil
B)
Q9: The correlation between the number of years
Q10: Unsupervised evaluation can be internal or external.
Q11: We have built and tested two supervised
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