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Synthetic Outliers Evaluation

0 papers with code · 3 benchmarks · 0 datasets archive 2025-07-28

MedicalMiscellaneousTime Series

The task involves evaluating the quality and utility of tabular synthetic data generated with outliers in the context of machine learning. Outliers, generated according to Extreme Value Theory (EVT), help model rare events, which in turn enhances the realism of the generated data, improves prediction quality in machine learning, and facilitates the detection, handling, and removal of outliers in real-world data.

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

3 leaderboard tables shown for this task, 3 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

DatasetBest model (first row in archive order)PaperCodeSyntologyCompare
A9 (3% outliers) (1 row) zGAN zGAN: An Outlier-focused Generative Adversarial Network For... — — Compare
A9 (5% outliers) (1 row) zGAN zGAN: An Outlier-focused Generative Adversarial Network For... — — Compare
A9 (7.4% outliers) (1 row) zGAN zGAN: An Outlier-focused Generative Adversarial Network For... — — Compare

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

No dataset record in the archive lists this task.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

1 paper is tagged with this task in the archive, but none lists a repository, so there is no implementation to show.

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