The randomForest command is ….
A) Part of the "randomForest" package and needs explicit installation in R.
B) Part of R's built-in "stats" package and needs no explicit installation.
C) Part of R's built-in "graphics" package and needs no explicit installation.
D) Part of R's built-in "base" package and needs no explicit installation.
Correct Answer:
Verified
Q3: With random forests, categorical variables may be
Q4: Which is a characteristic of random forests?
A)
Q5: The same random forest model with the
Q6: In random forest solutions, there is no
Q7: Fill-In. Developing a random forest model with
Q9: What does the "mtry" option do in
Q10: What will increasing the size of the
Q11: If RFclass is an object created by
Q12: If RFclass is an output object created
Q13: What does a "confusion table" show?
A) Overlap
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