CLEVALF

Classifier evaluation (feature size curve)

    E = CLEVALF(A,CLASSF,FEATSIZES,LEARNSIZE,NREPS,T,TESTFUN)

Input
A	Training dataset.
CLASSF	The untrained classifier to be tested.
FEATSIZES	Vector of feature sizes (default: all sizes)
LEARNSIZE	Number of objects/fraction of training set size  (see GENDAT)
NREPS	Number of repetitions (default: 1)
T	Independent test dataset (optional)
TESTFUN	Mapping,evaluation function (default classification error)

Output
E	Structure with results  See PLOTE for a description

Description

Generates at random for all feature sizes stored in FEATSIZES training

sets	of the given LEARNSIZE out of the dataset A. See GENDAT for the
interpretation	of LEARNSIZE. These are used for training the untrained
classifier	CLASSF. The result is tested by all unused ojects of A, or,
if	given, by the test dataset T. This is repeated N times. If no testset
is	given and if LEARNSIZE is not given or empty, the training set is
bootstrapped.	If a testset is given, the default training set size is
the	entire training set. Default FEATSIZES: all feature sizes.
The	mean erors are stored in E. The observed standard deviations are
stored	in S. The default test routine is classification error estimation
by	TESTC([],'crisp').

This function uses the RAND random generator and thereby reproduces only  if its seed is saved and reset.

See also

mappings, datasets, cleval, clevalb, testc, plote, gendat,