#linear-models

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Which statement about linear models is true?

Ridge regression learns one coefficient per training example1
For one example, predict_proba shows how much each feature drives its prediction2
Increasing logistic regression's C increases model complexity3
On unscaled data, coefficients of 1.25 for A and 0.56 for B mean A has the bigger impact4

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