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Feature selection plays a key role in model performance from "summary" of Machine Learning For Dummies by John Paul Mueller,Luca Massaron
When you're working on a machine learning project, selecting the right features is crucial for the overall performance of your model. Features are the characteristics or variables that are used to make predictions or classifications. The process of selecting the most relevant features for your model is known as feature selection. Feature selection is important because not all features contribute equally to the performance of a model. In fact, using too many irrelevant or redundant features can actually decrease the accuracy of your model and make it more complex. By selecting only the mos...
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