Summarizes information from kernel classification methods.
Summary function for classif.knn or classif.kernel.
## S3 method for class 'classif'
summary(object, ...)
## S3 method for class 'classif'
print(x, digits = max(3, getOption("digits") - 3), ...)object |
Estimated by kernel classification. |
... |
Further arguments passed to or from other methods. |
x |
Estimated by kernel classification. |
digits |
how many significant digits are to be used for numeric and complex x. |
object from classif.knn or classif.kernel
Shows:
-Probability of correct classification by group prob.classification.
-Confusion matrix between the theoretical groups and estimated groups.
-Highest probability of correct classification max.prob.
If the object is returned from the function classif.knn
-Vector of probability of correct classification by number of neighbors knn.
-Optimal number of neighbors: knn.opt.
If the object is returned from the function: classif.kernel
-Vector of probability of correct classification by banwidth h.
-Functional measure of closeness (optimal distance, h.opt).
Manuel Febrero-Bande, Manuel Oviedo de la Fuente manuel.oviedo@usc.es
See Also as: classif.knn,
classif.kernel
and summary.classif
## Not run: data(phoneme) mlearn<-phoneme[["learn"]] glearn<-phoneme[["classlearn"]] out=classif.knn(glearn,mlearn,knn=c(3,5,7)) summary(out) out2=classif.kernel(glearn,mlearn,h=2^(0:5)) summary(out2) ## End(Not run)
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