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09_​General_​Parameter_​Optimization_​Example

Example Using The Parameter Optimization Component

This workflow is an example of how to use the Parameter Optimization component. It optimizes the parameter of the adult dataset.

Optimize the parameters of a Random Forest model for the adult dataset Use the optimized parameters to learn a model on the whole dataset which canthen be deployed. Deploy the model. Train a Random Forest model with optimized parameters. Read adulttraining data withclass column.Read newdata withoutclass column. ParameterOptimization CSV Reader Random ForestLearner Table Rowto Variable CSV Reader Random ForestPredictor Optimize the parameters of a Random Forest model for the adult dataset Use the optimized parameters to learn a model on the whole dataset which canthen be deployed. Deploy the model. Train a Random Forest model with optimized parameters. Read adulttraining data withclass column.Read newdata withoutclass column. ParameterOptimization CSV Reader Random ForestLearner Table Rowto Variable CSV Reader Random ForestPredictor

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Download

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

Download Workflow
Created by: simon
Created at: 2019-06-25
On NodePit since: 2020-07-29
Last update: 2024-04-27
Created with KNIME version: v4.0.0
Tags: ParameterOptimizationParameter OptimizationHyperparameter OptimizationHyperparameterRandom ForestRandom SearchGrid SearchBrute ForceBayesian OptimizationHillclimbing

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