% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/functions.R
\name{run_imbalance_tournament}
\alias{run_imbalance_tournament}
\title{Run Class Imbalance Tournament}
\usage{
run_imbalance_tournament(
  tasks,
  windows,
  feature_prefix,
  bucket_name = "lake",
  inputs_prefix = "baf-fraud/05_model_input"
)
}
\arguments{
\item{tasks}{A tibble containing recipe_name, data_folder, and scale_pos_weight.}

\item{windows}{A tibble containing window_id, train_months, and test_month.}

\item{feature_prefix}{Character. The upstream dependency prefix (used to force DAG execution).}

\item{bucket_name}{Character. Bucket name. Default "lake".}

\item{inputs_prefix}{Character. The folder containing the sampled data. Default "05_model_input".}
}
\value{
A tibble with the summarized tournament results.
}
\description{
Trains LightGBM models across different class imbalance strategies
(Standard, SMOTE, Adasyn, etc.) using sliding time windows. Evaluates
performance using PR-AUC and calculates statistical significance.
Includes common-sense hyperparameter defaults to prevent overfitting.
}