klotz: fraud detection* + evaluation*

0 bookmark(s) - Sort by: Date ↓ / Title / - Bookmarks from other users for this tag

  1. This article explores various metrics used to evaluate the performance of classification machine learning models, including precision, recall, F1-score, accuracy, and alert rate. It explains how these metrics are calculated and provides insights into their application in real-world scenarios, particularly in fraud detection.

Top of the page

First / Previous / Next / Last / Page 1 of 0 SemanticScuttle - klotz.me: Tags: fraud detection + evaluation

About - Propulsed by SemanticScuttle