__________ is a generalization of linear regression for predicting a categorical outcome variable.
A) Multiple linear regression
B) Logistic regression
C) Discriminant analysis
D) Cluster analysis
Correct Answer:
Verified
Q28: How many Class 1's are incorrectly
Q29: An observation classified as part of a
Q30: The y-axis of a decile chart shows
A)number
Q31: _ compares the number of actual Class
Q32: _ refers to the scenario in which
Q33: A test set is the data set
Q34: One minus the overall error rate is
Q35: Separate error rates with respect to the
Q36: _ is a measure of the heterogeneity
Q38: In the k-nearest neighbors method, when the
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