print.svmmajcrossval

summary.svmmajcrossval

Prints the result from the cross validation procedure in
<code>svmmajcrossval</code>.

Implements the SVM-Maj algorithm to train data with support vector machine
<doi:10.1007/s11634-008-0020-9>.
This algorithm uses two efficient updates, one for linear kernel and one
for the nonlinear kernel.

Hok San Yip

SVMMaj

Implementation of the SVM-Maj Algorithm

Hoksan Yip

Georgi Nalbantov

print.svmmajcrossval function

<dl><dt>x</dt>
<dd>the cross-validation output from <code>svmmajcrossval</code></dd>
<dt>...</dt>
<dd>ignored</dd>
<dt>object</dt>
<dd>the output object from <code>svmmajcrossval</code></dd></dl>

Arguments

Print SVMMaj cross validation results — print.svmmajcrossval

<dl>

<dt>x</dt>
<dd>the cross-validation output from <code>svmmajcrossval</code></dd>


<dt>...</dt>
<dd>ignored</dd>


<dt>object</dt>
<dd>the output object from <code>svmmajcrossval</code></dd>

</dl>

print.svmmajcrossval: Print SVMMaj cross validation results

Description

Usage

Arguments