Relation between Features & Polynomial Equations in Machine Learning

In Machine Learning, if the data we are working on has, say, 6 features/variables, does that mean the prediction line/curve of our ML model is represented by a Hexic polynomial equation whose degree is 6?

In short, is the degree of our prediction line/curve the same as the number of features in our data?

Topic features machine-learning

Category Data Science

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