Hyper Parameter Optimization - Exercise

This workflow optimizes the parameters of a machine learning model that predicts the residual of time series (energy consumption). The residual of time series is what is left after removing the trend and first and second seasonality. The optimized parameters are the number of trees and tree depth in a Random Forest model.

External resources

• Slides on the KNIME Website
• Parameter Optimization for Prediction Loops