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What is Overfitting: How Can an AI Model Score 99% on Training Data and Still Fail in the Real World?

Imagine building an AI model to detect fraudulent transactions. You train it on thousands of historical transactions. The results look incredible. It correctly classifies 99% of the training examples. You deploy it, expecting it to catch fraud reliably. But something goes wrong. Legitimate transact…

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  1. 2026-10-15 17:15 · DEV Community — Machine Learning
    What is Overfitting: How Can an AI Model Score 99% on Training Data and Still Fail in the Real World?

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