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A data scientist wants to use automated machine learning to find the model with the best AUC_weighted metric. Which parameter of the classification function should be configured?
task='AUC_weighted'
target_column_name='AUC_weighted'
primary_metric='AUC_weighted'
A data scientist has preprocessed the training data and wants to use automated machine learning to quickly iterate through various algorithms. The data shouldn't be changed. What should be the featurization mode to train a model without letting automated machine learning make changes to the data?
auto
custom
off
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