Linear discriminate analysis can classify accurately even when the assumptions are not valid.
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Q2: Linear discriminate analysis does not assume that
Q3: The penalty weight used in the neural
Q4: It is not possible to apply a
Q5: A regression technique for analyzing large data
Q6: Forward selection with simultaneous validation is when
Q8: A major drawback of neural network modeling
Q9: In logistic regression the goal is to
Q10: The odds of an event occurring is
Q11: The logistic regression equation involves the exponential
Q12: A neural network is nonlinear.
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