9. GridSearch

  1. Click on GridSearch under the Machine Learning category.

  1. Model type: Select the type of machine learning model you want to use.

  2. Scoring: Choose the metric for evaluating the model.

  3. N jobs: Accelerate tasks through parallel processing. Enter the number of tasks to run simultaneously.

  4. Cv: Specify the number of folds to be used during Cross-Validation.

  5. Verbose: Display progress of the GridSearch. Higher values show more information.

  6. Allocate to: Specify the variable name to allocate.

  7. Param grid:

    • Add param: Additional parameters other than 3 to 6 can be added.

    • Add param set: Multiple combinations of parameters can be applied using sets.

  8. Code view: Preview the generated code.

  9. Run: Execute the code.

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