plot.GMDHplot {GMDH2} | R Documentation |
Plotting Using GMDH and dce-GMDH Algorithms for Binary Classification
Description
This function plots minimum specified external criterion across layers based upon a model trained by GMDH
or dceGMDH
. This is plotted for validation set.
Usage
## S3 method for class 'GMDHplot'
plot(x, ...)
Arguments
x |
an object of class created by |
... |
currently not used. |
Author(s)
Osman Dag
See Also
Examples
library(GMDH2)
library(mlbench)
data(BreastCancer)
data <- BreastCancer
# to obtain complete observations
completeObs <- complete.cases(data)
data <- data[completeObs,]
x <- data.matrix(data[,2:10])
y <- data[,11]
seed <- 12345
set.seed(seed)
nobs <- length(y)
# to split train, validation and test sets
indices <- sample(1:nobs)
ntrain <- round(nobs*0.6,0)
nvalid <- round(nobs*0.2,0)
ntest <- nobs-(ntrain+nvalid)
train.indices <- sort(indices[1:ntrain])
valid.indices <- sort(indices[(ntrain+1):(ntrain+nvalid)])
test.indices <- sort(indices[(ntrain+nvalid+1):nobs])
x.train <- x[train.indices,]
y.train <- y[train.indices]
x.valid <- x[valid.indices,]
y.valid <- y[valid.indices]
x.test <- x[test.indices,]
y.test <- y[test.indices]
set.seed(seed)
# to construct model via GMDH algorithm
model <- GMDH(x.train, y.train, x.valid, y.valid)
plot(model)
# to construct model via dce-GMDH algorithm
model2 <- dceGMDH(x.train, y.train, x.valid, y.valid)
plot(model2)
[Package GMDH2 version 1.8 Index]