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I spent months training an AI model on the wrong data set

I was working on a project to predict local traffic patterns in Austin, and after three months, my model was only 52% accurate. I found out last week that I had been using general US traffic data instead of the specific Austin city data I had collected. A friend pointed out the mismatch when he saw my code. I had to start over with the right data, which set me back weeks. Has anyone else made a basic data mistake that cost them a lot of time?
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3 Comments
finley_wells66
Omg that's brutal. Spent a whole weekend cleaning a dataset once only to realize I was filtering by the wrong date column the entire time. Felt like such a waste.
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olivia_hernandez
My friend Jake did that with 10,000 customer records.
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anthonyhunt
Ever done that like @finley_wells66?
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