Outperformance Score: A Universal Standardization Method for Confusion-Matrix-Based Classification Performance Metrics

11 May 2025

Papers citing "Outperformance Score: A Universal Standardization Method for Confusion-Matrix-Based Classification Performance Metrics"

5 / 5 papers shown

Title
Discriminative feature generation for classification of imbalanced data Sungho Suh P. Lukowicz Y. Lee 78 22 0 24 Oct 2020
Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation D. Powers 175 5,304 0 11 Oct 2020
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 299 5,877 0 14 Jun 2017
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 823 39,255 0 09 Mar 2016
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 388 25,747 0 09 Jun 2011