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                 Answer the following questions:

                    1.  What are model widgets in machine learning, and what is the role of widgets like the Tree Widget and Random Forest
                       Widget?

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                    2.  How does Python integration in ODM (Orange Data Mining) support advanced customization and analysis?

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                    3.  What is a normal distribution, and how do the mean, median, and mode relate to it? Can you give an example?

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                    4.  What is automation bias, and how can it affect decision-making when using no-code tools?

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