Logistic regression
Applies to: python, general
Logistic regression predicts a probability for a class by applying a sigmoid to a linear score.
p = 1 / (1 + np.exp(-z))
See also: sigmoid, cross-entropy
Applies to: python, general
Logistic regression predicts a probability for a class by applying a sigmoid to a linear score.
p = 1 / (1 + np.exp(-z))
See also: sigmoid, cross-entropy