A dummy model is a simplified version of a machine learning algorithm used for baseline testing. It makes predictions using basic rules, like always predicting the most common class. Data scientists and analysts use it to gauge if a complex model offers real improvement. Beginners benefit by understanding model evaluation fundamentals without advanced math.
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