imbalanced data

Model Perspective

Aug 26, 2023 · Artificial Intelligence

Why Accuracy Isn’t Enough: Mastering MCC for Imbalanced Classification

This article reviews common classification evaluation metrics—accuracy, precision, recall, and F1—explains their limitations on imbalanced data, and introduces the Matthews Correlation Coefficient (MCC) with Python implementations to provide a more reliable performance measure.

MCCMachine LearningPython

0 likes · 5 min read

Why Accuracy Isn’t Enough: Mastering MCC for Imbalanced Classification

DataFunSummit

Jul 3, 2022 · Artificial Intelligence

Graph Neural Network Approaches for Internet Financial Fraud Detection

The talk examines how the COVID‑19 pandemic accelerated online financial services and fraud, outlines the challenges of traditional and internet‑based fraud detection, and presents graph neural network solutions—including PC‑GNN and AO‑GNN—demonstrating their effectiveness on real‑world and public datasets while discussing future research directions.

AUC optimizationGraph Neural NetworksMachine Learning

0 likes · 12 min read

Graph Neural Network Approaches for Internet Financial Fraud Detection