\section{Accuracy Class Reference}
\label{classmlpack_1_1cv_1_1Accuracy}\index{Accuracy@{Accuracy}}


The \doxyref{Accuracy}{p.}{classmlpack_1_1cv_1_1Accuracy} is a metric of performance for classification algorithms that is equal to a proportion of correctly labeled test items among all ones for given test items.  


\subsection*{Static Public Member Functions}
\begin{DoxyCompactItemize}
\item 
{\footnotesize template$<$typename M\+L\+Algorithm , typename Data\+Type $>$ }\\static double \textbf{ Evaluate} (M\+L\+Algorithm \&model, const Data\+Type \&data, const arma\+::\+Row$<$ size\+\_\+t $>$ \&labels)
\begin{DoxyCompactList}\small\item\em Run classification and calculate accuracy. \end{DoxyCompactList}\end{DoxyCompactItemize}
\subsection*{Static Public Attributes}
\begin{DoxyCompactItemize}
\item 
static const bool \textbf{ Needs\+Minimization} = false
\begin{DoxyCompactList}\small\item\em Information for hyper-\/parameter tuning code. \end{DoxyCompactList}\end{DoxyCompactItemize}


\subsection{Detailed Description}
The \doxyref{Accuracy}{p.}{classmlpack_1_1cv_1_1Accuracy} is a metric of performance for classification algorithms that is equal to a proportion of correctly labeled test items among all ones for given test items. 

Definition at line 25 of file accuracy.\+hpp.



\subsection{Member Function Documentation}
\mbox{\label{classmlpack_1_1cv_1_1Accuracy_a77b6a9eb952b01bfc5c0d854da700465}} 
\index{mlpack\+::cv\+::\+Accuracy@{mlpack\+::cv\+::\+Accuracy}!Evaluate@{Evaluate}}
\index{Evaluate@{Evaluate}!mlpack\+::cv\+::\+Accuracy@{mlpack\+::cv\+::\+Accuracy}}
\subsubsection{Evaluate()}
{\footnotesize\ttfamily static double Evaluate (\begin{DoxyParamCaption}\item[{M\+L\+Algorithm \&}]{model,  }\item[{const Data\+Type \&}]{data,  }\item[{const arma\+::\+Row$<$ size\+\_\+t $>$ \&}]{labels }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [static]}}



Run classification and calculate accuracy. 


\begin{DoxyParams}{Parameters}
{\em model} & A classification model. \\
\hline
{\em data} & Column-\/major data containing test items. \\
\hline
{\em labels} & Ground truth (correct) labels for the test items. \\
\hline
\end{DoxyParams}


\subsection{Member Data Documentation}
\mbox{\label{classmlpack_1_1cv_1_1Accuracy_a59117419810548f86c24651ffa3500d5}} 
\index{mlpack\+::cv\+::\+Accuracy@{mlpack\+::cv\+::\+Accuracy}!Needs\+Minimization@{Needs\+Minimization}}
\index{Needs\+Minimization@{Needs\+Minimization}!mlpack\+::cv\+::\+Accuracy@{mlpack\+::cv\+::\+Accuracy}}
\subsubsection{Needs\+Minimization}
{\footnotesize\ttfamily const bool Needs\+Minimization = false\hspace{0.3cm}{\ttfamily [static]}}



Information for hyper-\/parameter tuning code. 

It indicates that we want to maximize the metric. 

Definition at line 44 of file accuracy.\+hpp.



The documentation for this class was generated from the following file\+:\begin{DoxyCompactItemize}
\item 
/var/www/mlpack.\+ratml.\+org/mlpack.\+org/\+\_\+src/mlpack-\/3.\+3.\+0/src/mlpack/core/cv/metrics/\textbf{ accuracy.\+hpp}\end{DoxyCompactItemize}