Table 5 Power_Plant Dataset
From: Residual bayesian attention networks for uncertainty quantification in regression tasks
Attribute | Description |
|---|---|
Data Scale | 768 samples × 8 features |
Target Variable | Y1, Y2 (dual-output regression task) |
Feature Type | Continuous numerical |
Main Feature Domain | Process parameters (X1-X8), including relative compactness, surface area, wall thickness, silicon content and other building material or engineering parameters |
Output Variables | Y1 and Y2Â represent two performance indicators of the system |
Application Scenario | Multi-output regression, engineering optimization, performance prediction |
Data Characteristics | Engineering/manufacturing data, suitable for multi-objective optimization and process parameter modeling |
