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Main
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| · | The four basic tab sheets
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| Basic structure of the user interface
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| · | Load and prepare learn data
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| How to load the learn data, set the output column and variable types
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| · | Automated parameter tuning
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| How to automatically tune the algorithm's free parameters
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| · | Learn a model
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| Explains the algorithm's free parameters and model characteristics shown
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| · | Use learned model to predict new test data
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| Validating your model using new test data
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| · | Save and load the project and/or model
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| Saving and loading the whole project or just the learned model
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| · | Options
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| Program and project options
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