Abstract
Many decision process are modeled as a regression problem. Given a data set, it is expected to obtain a numeric response. Basically, we use Linear Regression when we wish to obtain a simple model easy to interpret, on the other hand, many data sets express a nonlinear relationship with the target variable, and so nonlinear regression models are used. Many known nonlinear regression models…