The differences between neural network binary classification and multinomial classification are surprisingly tricky. McCaffrey looks at two approaches to implement neural network binary classification ...

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

The goal of a binary classification problem is to predict an output value that can be one of just two possible discrete values, such as "male" or "female." This article is the third in a series of ...

The aim of the present paper is to provide some guidance, in the form of simple rules-of-thumb, on the behavior of domain statistics that may be expected in practice when classification errors occur.

Quantum information scientists have introduced a new method for machine learning classifications in quantum computing. The non-linear quantum kernels in a quantum binary classifier provide new ...