A binary classification problem is one where the goal is to predict a discrete variable that has exactly two possible values. For example, you might want to predict a person's sex (male or female) ...

McCaffrey looks at two approaches to implement neural network binary classification. In a classification problem, the goal is to predict the value of a variable that can take one of several discrete ...

This paper revisits the question of what is really important for strong long-term growth by using a Binary Classification Tree approach, a nonparametric statistical technique that is not commonly used ...

In the end, rather than treating everything as a binary classification problem, we need to recognize that some problems require more complex deep learning solutions.