Question: data as best as possible 17- Logistics regression with less regularization leads to fitting A) training B) test C) training or test D) Both a

data as best as possible 17- Logistics regression with less regularization

data as best as possible 17- Logistics regression with less regularization leads to fitting A) training B) test C) training or test D) Both a and c 18- is the approach used to estimate the coefficients in a logistics regression A) Minimum Likelihood B) Maximum Likelihood C) Average likelihood D) Min-Max Likelihood A) In ( B) 1-prlu 19- Which choice shows the log-odds? A) In Pr(target vriable) (1-Pr(target vriable) B) Pr(target vriable) 1-Pr(target vriable) C) In (1-Pr(target vriable) Pr(target vriable) 1-Pr(target vriable) Pr(target vriable)

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