Computes the class confusion matrix from a class prediction matrix

Description

Computes the class confusion matrix from a class prediction matrix.

Usage

## S3 method for class 'BigBang':
confusionMatrix(o, cm, ...)

Arguments

Details

The matrix is computed getting the predicted class proportions for all samples; accumulating the proportions; finally producing propotions for all classes. This procedure is equivalent to having the same weights (priors) for all classes.

Value

A matrix with original classes in rows and predicted classes in columns. Each value represent the ``probability'' for a sample within a given class to be predicted as any other class.

Author(s)

Victor Trevino. Francesco Falciani Group. University of Birmingham, U.K. http://www.bip.bham.ac.uk/bioinf

References

Goldberg, David E. 1989 Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley Pub. Co. ISBN: 0201157675

See Also

For more information see BigBang. *classPredictionMatrix(), *confusionMatrix().

Examples

   #bb is a BigBang object
   cpm <- classPredictionMatrix(bb)
   cpm
   cm <- confusionMatrix(bb)
   cm
   #equivalent and quicker because classPredictionMatrix is provided
   cm <- confusionMatrix(bb, cpm)
   cm
 
   specificityClass(bb, cm)
   specificityClass(bb, cpm)
   specificityClass(bb)
   # all are equivalent
   sensitivityClass(bb, cpm)
   sensitivityClass(bb, cm)
   sensitivityClass(bb)
   # all are equivalent