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.
OpenRecall is an open-source software that aims to be a privacy-focused alternative to Microsoft's Recall feature. It captures the user's digital history, processes text and images using OCR, and allows users to find specific information by searching for relevant keywords. Currently, it stores data locally but does not encrypt it. It is available for Windows, macOS, and Linux.
Web application that summarizes online content, automatically categorizes and interlinks it for easy rediscovery. Save time and build your knowledge base with Recall.
