What makes a neural network model "supervised"?
A) input data in the test set includes the correct output values
B) input data in the training set includes the correct output values
C) input data in the test set includes the correct input values
D) input data in the training set includes the correct input values
Correct Answer:
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Q3: Unlike linear regression, neural networks can handle
Q4: It is impossible to assess the relative
Q5: Cross-validation of a neural network (or other)
Q6: What is UNTRUE of hidden layers of
Q7: Explain "gradient descent" and what it does
Q9: Which is possible with the "caret" package?
A)
Q10: Which package supports the Olden method of
Q11: What was a "violin plot" used for
Q12: Neural networks may achieve better results if
Q13: If data are normalized or scaled, which
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