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Google Professional Data Engineer

Google Professional Data Engineer

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Your team is currently engaged in a machine learning project aimed at solving a binary classification problem. Recently, you have trained a Support Vector Machine (SVM) classifier using its default parameter settings. After evaluating the model's performance on the validation set, you achieved an Area Under the Curve (AUC) score of 0.87. To improve the predictive performance of the model, particularly to increase the AUC, what steps should you consider taking?

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