Question: How would you describe qualitatively how the resulting classifiers vary with the value of ? If the value of is increased, the fitting of model

How would you describe qualitatively how the resulting classifiers vary with the value of ? If the value of is
increased, the fitting of model would be
better fit on training data (sharper decision boundary)
worse fit on training data (flatter decision boundary)
How would you describe qualitatively how the resulting classifiers vary with

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