4. AutoML

  1. Click on AutoML in the Machine Learning category.

  1. Model Type: Choose the type of model to generate. You can conveniently install necessary packages through Install.

  2. Generation(TPOT): Set the number of generations to generate, evaluate, and compare. Each generation generates and evaluates candidate model pipelines. Higher values increase execution time.

  3. Population Size(TPOT): Determine the number of model candidates generated in each generation set in the previous step.

  4. Cv(TPOT): Determine the number of folds used for cross-validation.

  5. Random State(TPOT): Control randomness. If not set, different random sequences are generated each time.

  6. Allocate to: Specify variable names to assign to the generated model.

  7. Code View: Preview the code that will be output.

  8. Run: Execute the code.

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