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 ...

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 ...

This is a preview. Log in through your library . Abstract A method is described for fitting Richards' generalisation of the logistic function by the method of least squares. The solution of the ...