medium10 pts · first answer countsmachine-learninglogistic-regressionoptimisation

Different seeds, same logistic model

You train L2-regularised logistic regression twice from different random starting weights. Both runs converge. How do the final weights compare?

A.Very different, as there are many local minimaB.One run will always be all zerosC.Essentially the same, as the loss is strictly convexD.They differ by the random seed value

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Different seeds, same logistic model

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