Rob Wiederstein
33d0fc31c7
End-to-end LightGBM fraud detection pipeline built as an R package, orchestrated by targets with data stored in MinIO via Apache Arrow. Includes 6-layer Lakehouse architecture, class imbalance tournament, formally tuned hyperparameters (PR-AUC 0.198), and Quarto RevealJS slides. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
19 lines
562 B
R
19 lines
562 B
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/functions.R
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\name{format_class_imbalance_tourney_gt}
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\alias{format_class_imbalance_tourney_gt}
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\title{Format Class Imbalance Tournament Table}
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\usage{
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format_class_imbalance_tourney_gt(results_df)
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}
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\arguments{
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\item{results_df}{The tibble output from \code{run_imbalance_tournament}.}
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}
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\value{
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A formatted gt table object.
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}
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\description{
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Aggregates results from the model tournament and performs paired t-tests
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against the 'Standard' model to determine statistical significance.
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}
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