Chapter 17 Logistic Regression - Code World

Chapter 17 Logistic Regression

Enterprise 2023-09-30 12:46:57 views: null

17.1 Related concepts

Logistic regression is more about modeling from a probability level, but in practical applications, it is more used in binary classification problems.

Thinking: How to calculate "better fitting", analogous to the least squares method of linear regression.

sigmoid function:

$y = \frac{1}{1+e^{-x}}$

$\frac{dy}{dx}=\frac{d[\frac{1}{1+e^{-x}}]}{dx}=\frac{d(1+e^{-x})^{-1}}{dx}$

$=-(1+e^{-x})^{-2}\times(e^{-x})$

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