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What does “ADA ” stand for?

Scenario B: Customer Churn ClassificationA subscription business wants to predict whether a customer will churn (cancel) next month.Target: churn (1 = churned, 0 = stayed).The business cares more about catching likely churners than about occasionally flagging a loyal customer.If you care about minimizing false positives (don’t bother loyal customers), you would emphasize:

Scenario A: Messy Retail Sales ExtractYou are analyzing a retail dataset with columns: date (string like “2025-03-01”) region (text with inconsistent capitalization and extra spaces) channel (“Online” or “Store”) price (numeric, may contain missing values) quantity (integer) Assume each row is an order line. You will clean the data and compute KPIs.You create revenue = price * quantity. Which is the correct pandas line?

Scenario B: Customer Churn ClassificationA subscription business wants to predict whether a customer will churn (cancel) next month.Target: churn (1 = churned, 0 = stayed).The business cares more about catching likely churners than about occasionally flagging a loyal customer.A confusion matrix on the test set (positive class = churn) is: Predicted 0 Predicted 1 Actual 0 720 80 Actual 1 150 50 How many false positives are there?

Research indicates that setting more difficult/higher but not unreasonable goals for oneself _______.

After running DBSCAN, some observations receive the label -1. What does that usually mean?

Positive affect about progress toward one’s goal may increase coasting and reprioritization.

The nurse is providing care for multiple patients. Which patient situation is most concerning and should be reported to the registered nurse (RN) or health-care provider (HCP)? 

Which of the following expresses the Aristotelian doctrine of the mean?

Suppose labels already contains one cluster label per row. Which line correctly adds those labels to the DataFrame?