% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/RcppExports.R
\name{eval_model}
\alias{eval_model}
\title{Full Model Evaluation}
\usage{
eval_model(presence, absence)
}
\arguments{
\item{presence}{Numeric vector of prediction scores at presence sites.}

\item{absence}{Numeric vector of prediction scores at absence sites.}
}
\value{
A named list with: auc, max_kappa, max_kappa_thresh,
  correlation, square_error, logloss, misclassification, prevalence.
}
\description{
Computes all evaluation metrics at once: AUC, correlation, log-loss,
squared error, misclassification, max kappa, and prevalence.
}
