A generalization of the common logistic function is developed, incorporating a non-unit saturation level, a non-zero intercept, and a non-symmetric shape. The dependence of the three generalized ...
Journal of the Royal Statistical Society. Series C (Applied Statistics) A discrete alternative to the logistic growth function is derived by forming the difference equation corresponding to the ...
Learn what is Logistic Regression Cost Function in Machine Learning and the interpretation behind it. Logistic Regression Cost function is "error" representation of the model. It shows how the model ...
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