ftable,cloutput-method

An object of class <code><a rd-options="" href="/link/cloutput?package=CMA&version=1.30.0" data-mini-rdoc="CMA::cloutput">cloutput</a></code>


 An object of class <code><a rd-options="" href="/link/cloutput?package=CMA&version=1.30.0" data-mini-rdoc="CMA::cloutput">cloutput</a></code> contains (among others)
 the slot <code>y</code> and <code>yhat</code>. The former contains the true,
 the last the predicted class labels. Both are cross-tabulated in
 order to obtain a so-called confusion matrix. Counts out of the
 diagonal are misclassifications.

multivariate

ftable

This package provides a comprehensive collection of various microarray-based classification algorithms
both from Machine Learning and Statistics.
Variable Selection, Hyperparameter tuning, Evaluation and Comparison can be performed
combined or stepwise in a user-friendly environment.

Christoph Bernau

Synthesis of microarray-based classification

ftable function

An object of class <code><a href="cloutput" rd-options="">cloutput</a></code>

An object of class <code><a href="cloutput" rd-options="">cloutput</a></code> contains (among others)
 the slot <code>y</code> and <code>yhat</code>. The former contains the true,
 the last the predicted class labels. Both are cross-tabulated in
 order to obtain a so-called confusion matrix. Counts out of the
 diagonal are misclassifications.

ftable: Cross-tabulation of predicted and true class labels

Description

Arguments

Value

See Also