Question

What's the point of the added 'bias' term in models that use linear combinations of inputs? * due to the bias-variance tradeoff; it helps in reduce overfitting there is not point, it is just a convention in logistic/linear regression, it helps shape the curvature of the model, and centers is at the origin aids in a model's ability to fit the data (e.G. Affine transformations)

Answer 1

Step-by-step explanation:

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Answer 2

Step-by-step explanation:

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