Which of the following does k represent in the k-means model?
In k-means clustering, the parameter k directly defines how many clusters the algorithm will partition the data into.
A data scientist is using the following confusion matrix to assess model performance:

The model is predicting whether a delivery truck will be able to make 200 scheduled delivery stops. Every time the model is correct, the company saves an hour in planning and scheduling of maintenance work. Every time the model is wrong, the company loses four hours of delivery time for the truck. Which of the following is the net model impact for the company?
Treat each ''predicted-to-fail'' and ''predicted-to-succeed'' row as coming from 100 cases apiece (200 total).
A data scientist is clustering a data set but does not want to specify the number of clusters present. Which of the following algorithms should the data scientist use?
DBSCAN discovers clusters based on density without requiring you to predefine the number of clusters, automatically finding arbitrarily shaped groups and identifying noise points.
A data scientist wants to digitize historical hard copies of documents. Which of the following is the best method for this task?
OCR converts scanned images of text into machinereadable characters, making it the appropriate tool for digitizing printed or handwritten historical documents.
The most likely concern with a one-feature, machine-learning model is high error due to:
A model with only one feature is unlikely to capture the true complexity of the data's underlying relationships, leading to systematic underfitting - i.e., high bias.
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