1.

________ is a simple approach to supervised learning. It assumes that the dependence of Y on X1, X2, . . . Xp is linear.

A. Linear regression
B. Logistic regression
C. Gradient Descent
D. Greedy algorithms
Answer» B. Logistic regression


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