CatBoost

Product · 3 documents

Key number

53,000 companies

Calibration universe size. arXiv (Cornell University) p.1

Key number

99.49%

Hybrid Model Accuracy. International Journal of Advanced Research in Science Communication and Technology p.1

Key number

0.999953

Voting Ensemble + SMOTE Accuracy. INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT p.5

A Scalable MLOps Framework for Intelligent Fraud Detection and Identification in Financial Transactions

Research paperInternational Journal of Advanced Research in Science Communication and TechnologyNovember 202616 pages

The study develops a scalable MLOps framework evaluated on 100,000 transactions sampled from the Credit Card Transactions Fraud Detection Dataset.

Voting Ensemble Framework with SMOTE for Financial Fraud Detection in Highly Imbalanced Transaction Data

Research paperINTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTNovember 20268 pages

The framework addresses extreme class imbalance in a dataset comprising 6,362,620 transaction records, where only 8,213 records (0.1291%) represent fraudulent activity.

What Makes a Peer? Valuation-Anchored Similarity in Private Markets

Research paperarXiv (Cornell University)August 20269 pages

The study analyzes a global private-market universe of approximately 270,000 companies, including more than 53,000 firms with post-money valuations.