Icon

08 Parameter Optimization

08 Parameter Optimization
Exercise: Parameter Optimization LoopOptimize the number of trees in a Random Forest model.1.1) Start with a Parameter Optimization Loop Start node. Create aparameter for the number of trees with start value=50, end value=150, andincrement=10. It is an integer.1.2) Overwrite the number of models setting in the Random Forest Learner(Regression) node with this parameter1.3) Transform the numeric scoring metrics into flow variables. Use theTable Column to Variable node.1.4) End with a Parameter Optimization Loop End node. Use MAPE as theobjective value. What is the optimal number of trees? 50 Trees Read AB_NYC_2019Predict priceR2 and error metrics InteractiveData Cleaning File Reader Random Forest Learner(Regression) Random Forest Predictor(Regression) Numeric Scorer Parameter OptimizationLoop Start ParameterOptimization Loop End Partitioning Replace 0 price byneighborhood average Table Columnto Variable Exercise: Parameter Optimization LoopOptimize the number of trees in a Random Forest model.1.1) Start with a Parameter Optimization Loop Start node. Create aparameter for the number of trees with start value=50, end value=150, andincrement=10. It is an integer.1.2) Overwrite the number of models setting in the Random Forest Learner(Regression) node with this parameter1.3) Transform the numeric scoring metrics into flow variables. Use theTable Column to Variable node.1.4) End with a Parameter Optimization Loop End node. Use MAPE as theobjective value. What is the optimal number of trees? 50 Trees Read AB_NYC_2019Predict priceR2 and error metricsInteractiveData Cleaning File Reader Random Forest Learner(Regression) Random Forest Predictor(Regression) Numeric Scorer Parameter OptimizationLoop Start ParameterOptimization Loop End Partitioning Replace 0 price byneighborhood average Table Columnto Variable

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: Maarit Laukkanen
Created at: 2020-10-27
On NodePit since: 2021-06-30
Last update: 2024-11-18
Created with KNIME version: v4.3.2
Tags: parameter optimization

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!