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Parameter Optimization Component Hardcoded on Random Forest (Legacy)

Machine learningData scienceRandom forestParameter optimizationVerified components
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Sep 14, 2017 11:32 AM
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This workflow shows how to use the legacy version of the parameter optimization component. This component only works out of the box with a random forest classification which optimizes the number of trees and the max tree depth. Changing which parameters and which model is optimized requires unlinking and editing the component. You can still use this legacy component as a template, in case you want to create your own component. We recommend, however to adopt the Parameter Optimization (Table) component (kni.me/c/A_91QC387NtvJ6g8).

External resources

  • KNIME Verified Components - knime.com
  • ML Algorithms and the Art of Parameter Selection - KNIME Blog
  • Parameter Optimization Video - KNIME TV - YouTube
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Created with KNIME Analytics Platform version 4.5.2
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    KNIME Base nodesTrusted extension

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    KNIME JavasnippetTrusted extension

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    KNIME Optimization extensionTrusted extension

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    KNIME Quick FormsTrusted extension

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