Introduction

Classification models are a popular way to predict a defined categorical outcome. We use outputs from classification models all the time. Anytime we go to see a movie in a theatre, we are interested to know whether the film is considered correct? One of the most popular classification models in the data science community is a logistic regression. The logistic regression model produces a response that is activated by a sigmoid function. The sigmoid function uses the inputs from the model and produces an output that is between 0 and 1. That output is usually in a form of a probability score. Many deep learning models are also used for classification purposes. It is common to find logistic regression models performed in conjunction with deep learning models to help establish a baseline in which deep learning models are measured against. The sigmoid activation function...