The Complete SPRLIB & ANNLIB
meanset_error
- compute the classification error on the meanset using
a linear discriminant
SYNOPSIS
| double meanset_error |
(c1, c2, c3) |
ARGUMENTS
| double | c1 | Coefficient 1. |
| double | c2 | Coefficient 2. |
| double | c3 | Coefficient 3. |
RETURNS
The function returns the fraction of wrongly classified samples for the
meanset standard classes.
FUNCTION
The function calculates the fraction of the sample wrongly classified by a
linear discriminant function. This linear function is described by three
parameters c1, c2 and c3, combined they constitute the linear classifier
F(x1,x2) = c1*x1 + c2*x2 + c3. The sample used for classification are drawn
from the standard mean dataset.
SEE ALSO
random_meanset_a, random_meanset_b
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