klaR (version 0.6-14)

benchB3: Benchmarking on B3 data

Description

Evaluates the performance of a classification method on the B3 data.

Usage

benchB3(method, prior = rep(1/4, 4), sv = "4", scale = FALSE, ...)

Arguments

method

classification method to use

prior

prior probabilities of classes

sv

class of the start of a business cycle

scale

logical, whether to use scale first

…

furhter arguments passed to method

Value

A list with elements

MODEL

list with the model returned by method of the training data

error

vector of test error rates in cycles

l1co.error

leave-one-cycle-out error rate

Details

The performance of classification methods on cyclic data can be measured by a special form of cross-validation: Leave-One-Cycle-Out. That means that a complete cycle is used as test data and the others are used as training data. This is repeated for all complete cycles in the data.

See Also

B3

Examples

# NOT RUN {
perLDA <- benchB3("lda")
# }
# NOT RUN {
## due to parameter optimization rda takes a while 
perRDA <- benchB3("rda")
library(rpart)
## rpart will not work with prior argument:
perRpart <- benchB3("rpart", prior = NULL)
# }

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