confusionMatrix

targets

the corresponding predictions of a
  method for the targets

predictions

The confusion matrix shows how many times a pattern with
  the real class x was classified as class y. A perfect
  method should result in a diagonal matrix. All values not
  on the diagonal are errors of the method.

The Stuttgart Neural Network Simulator (SNNS) is a library
    containing many standard implementations of neural networks. This
    package wraps the SNNS functionality to make it available from
    within R. Using the RSNNS low-level interface, all of the
    algorithmic functionality and flexibility of SNNS can be accessed.
    Furthermore, the package contains a convenient high-level
    interface, so that the most common neural network topologies and
    learning algorithms integrate seamlessly into R.

confusionMatrix: Computes a confusion matrix

Description

Usage

Arguments

Value

Details