Addressing Data Leakage: Essential Considerations for Trustworthy Machine Learning Models

Author(s): Mala Deep

Originally published on Towards AI.

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With the ChatGPT use case and other AI markets on the rise, the accuracy and trustworthiness of AI models are of utmost importance. The numerous moving parts in this endeavor make it difficult, including data leakage, which is frequently underrated but has serious repercussions.

Before going into what data leakage is, let us use one example.

Do you ever recall a scenario where you received clues about the answers to a test before you had even begun studying?

If so, your exam preparation might have gone really well, but when you sit on exam day, you will be… Read the full blog for free on Medium.

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Published via Towards AI