compareOrig

return of the <code><a rd-options="" href="/link/nlcv?package=nlcv&version=0.3.5" data-mini-rdoc="nlcv::nlcv">nlcv</a></code> function

nlcvObj

technique for which the comparison to correct classes should be made

techn

function to compare the original matrix of correct classes to
each component of the output object for a certain classifier

Nested loop cross validation for classification purposes for misclassification error rate estimation.
The package supports several methodologies for feature selection: random forest, Student t-test, limma,
and provides an interface to the following classification methods in the 'MLInterfaces' package: linear,
quadratic discriminant analyses, random forest, bagging, prediction analysis for microarray, generalized
linear model, support vector machine (svm and ksvm). Visualizations to assess the quality of
the classifier are included: plot of the ranks of the features, scores plot for a specific
classification algorithm and number of features, misclassification rate
for the different number of features and classification algorithms tested and ROC plot.
For further details about the methodology, please check:
Markus Ruschhaupt, Wolfgang Huber, Annemarie Poustka, and Ulrich Mansmann (2004)
<doi:10.2202/1544-6115.1078>.

Laure Cougnaud

nlcv

Nested Loop Cross Validation

compareOrig function

return of the <code><a rd-options='' href='nlcv'>nlcv</a></code> function

compareOrig: function to compare the original matrix of correct classes to each component of the output object for a certain classifier

Description

Usage

Arguments

Value