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Select all correct statements The gradient descent solution to logistic regression model might converge to local optimums, and fail to find global optimal solution. The cost function of logistic regression is convex. In logistic regression, we model the odds ratio ( ) as a linear function р 1-p logistic regression is a regression method to estimate class posterior probabilities

Select all correct statements The gradient descent solution to logistic regression model might converge to local optimums, and fail to find global optimal solution. The cost function of logistic regression is convex. In logistic regression, we model the odds ratio ( ) as a linear function р 1-p logistic regression is a regression method to estimate class posterior probabilities

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Select all correct statements The gradient descent solution to logistic regression model might converge to local optimums, and fail to find global optimal solution. The cost function of logistic regression is convex. In logistic regression, we model the odds ratio ( ) as a linear function р 1-p logistic regression is a regression method to estimate class posterior probabilities
Transcribed Image Text:Select all correct statements The gradient descent solution to logistic regression model might converge to local optimums, and fail to find global optimal solution. The cost function of logistic regression is convex. In logistic regression, we model the odds ratio ( ) as a linear function р 1-p logistic regression is a regression method to estimate class posterior probabilities
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