TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

SotA/Miscellaneous/Fraud Detection

Fraud Detection

23 benchmarks547 papers

Fraud Detection is a vital topic that applies to many industries including the financial sectors, banking, government agencies, insurance, and law enforcement, and more. Fraud endeavors have detected a radical rise in current years, creating this topic more critical than ever. Despite struggles on the part of the troubled organizations, hundreds of millions of dollars are wasted to fraud each year. Because nearly a few samples confirm fraud in a vast community, locating these can be complex. Data mining and statistics help to predict and immediately distinguish fraud and take immediate action to minimize costs.

<span class="description-source">Source: Applying support vector data description for fraud detection </span>

Benchmarks

Fraud Detection on Yelp-Fraud

AUC-ROCAveraged PrecisionF1 MacroG-mean

Fraud Detection on Amazon-Fraud

AUC-ROCAveraged PrecisionF1 MacroG-mean

Fraud Detection on Elliptic Dataset

AUCAUPRC

Fraud Detection on Healthcare Provider Fraud Detection Analysis

AUCAUPRC

Fraud Detection on FDCompCN

AUC-ROC

Fraud Detection on Kaggle-Credit Card Fraud Dataset

AUCAccuracyAverage Precision

Fraud Detection on BAF – Base

Recall @ 1% FPRRecall @ 5% FPR

Fraud Detection on BAF – Variant I

Recall @ 5% FPR

Fraud Detection on BAF – Variant II

Recall @ 5% FPR

Fraud Detection on BAF – Variant III

Recall @ 5% FPR

Fraud Detection on BAF – Variant IV

Recall @ 5% FPR

Fraud Detection on BAF – Variant V

Recall @ 5% FPR