A municipal grain-scale dataset has a few tickets recorded in pounds instead of tons, which pull a linear scaler sideways. What should the team do before scaling or training?
Select an answer to reveal the explanation.
Short Explanation
Think of a few tickets in pounds instead of tons yanking a linear scaler sideways. Detect and treat those outliers first. Cap, fix the unit, or isolate the tail. Do not scale over the mess.
Full Explanation
Detect and treat outliers as a cleaning step before scaling or training. A pounds-versus-tons tail should be capped, unit-corrected, or isolated. Ignoring it, adding a Region, and Firehose are not that treatment.