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The Biggest Mistake Students Make With Imbalanced Data

Struggling with Imbalanced Data? Here is the no-BS guide to understanding it, complete with real-world examples and study shortcuts.

E
Emma Watkins · EdTech Specialist
3 min read
The Biggest Mistake Students Make With Imbalanced Data

Are you consistently losing points on Imbalanced Data because of using Accuracy as your success metric? If so, you're making the exact same error as 80% of your class.

Did you make this error?

  • The Trap: using Accuracy as your success metric
  • The Proof: Read this scenario: If 99% of credit card transactions are legitimate, a model that simply guesses 'Legitimate' every time is 99% accurate, but utterly useless. Use Precision, Recall, or F1-Score instead.

If your logic doesn't match the proof above, you've fallen for the trap. Erase it and start over.

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