% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/functions.R
\name{evaluate_final_model}
\alias{evaluate_final_model}
\title{Final Model Evaluation (Months 6 & 7)}
\usage{
evaluate_final_model(
  params,
  bucket_name = "baf-fraud",
  inputs_prefix = "05_model_input"
)
}
\arguments{
\item{params}{A named list of LightGBM hyperparameters with elements:
\code{trees}, \code{tree_depth}, \code{learn_rate}, \code{loss_reduction}, \code{min_n}.}

\item{bucket_name}{Character. Bucket name. Default "baf-fraud".}

\item{inputs_prefix}{Character. Model input prefix. Default "05_model_input".}
}
\value{
A tibble with columns \code{truth}, \code{prob}, and \code{pred_class}.
}
\description{
Trains the winning strategy on the full training set (Months 0-5)
and evaluates it on the unseen test set (Months 6-7).
}
