Abstract: The classification and recognition of household appliance loads is of great significance for understanding user electricity consumption behavior, optimizing electricity planning, and ...
A decision tree regression system incorporates a set of if-then rules to predict a single numeric value. Decision tree regression is rarely used by itself because it overfits the training data, and so ...
Abstract: Tabular data is the most prevalent form of structured data, necessitating robust models for classification and regression tasks. Traditional models like eXtreme Gradient Boosting (XGBoost) ...
The Python extension now supports multi-project workspaces, where each Python project within a workspace gets its own test tree and Python environment. This document explains how multi-project testing ...
A Linux-based command-and-control (C2) framework capable of long-term intrusion across cloud and enterprise environments has been further analyzed in new research. Known as VoidLink, the malware ...