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Math of Logistic regression cost function
In the current scikit-learn documentation for binary Logistic regression there is the minimization of the following cost function: $$\min_{w, c} \frac{1}{2}w^T w + C \sum_{i=1}^n \log(\exp(- y_i (X_i^...
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Logistic Regression : Solving the cross-entropy cost function analytically
Logistic regression cost function is cross-entropy. It is defined as below: This is a convex function. To reach the minimum, scikit-learn provides multiple types of solvers such as : ‘liblinear’ ...
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