Computer scienceData scienceMachine learningClassification

Logistic regression

Sigmoid function

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What parameters should be substituted into the logistic function $f(x)= \frac{L}{1+e^{-k(x-x_0)}}$ to get the sigmoid function $\sigma (x)$ ?

Tip: $\sigma(x) = \frac{1}{1+e^{-x}}$

Select one option from the list

L =1, x_0=0, k = 1

L =1, x_0=1, k = 0.5

L =1, x_0=1, k = 1

L =1, x_0=0.5, k = 2

L =2, x_0=0, k = -1

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