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

The goal of a binary classification problem is to make a prediction that can be one of just two possible values. For example, you might want to predict the sex (male or female) of a person based on ...

Journal of the Royal Statistical Society. Series D (The Statistician), Vol. 32, No. 1, Proceedings of the 1982 I.O.S. Annual Conference on Practical Bayesian Statistics (Mar. - Jun., 1983), pp.

This is a preview. Log in through your library . Abstract We consider variable screening in high-dimensional binary classification. First, we propose nonparametric test statistics for the problem of ...