A near-perfect ML model score can be misleading if your features already contain the…
This is a dev post classified by Jev as Testing & observability (a tutorial), kept by the Dev Radar because it carries real work, not commentary.
A near-perfect ML model score can be misleading if your features already contain the answer. In this tutorial, @mkbadeniyi shows you how to detect hidden target leakage in public datasets with Python. You'll build a dependency graph, trace data lineage with BFS and DFS, and automate the checks in CI. https://www.freecodecamp.org/news/how-to-detect-hidden-target-leakage-in-public-datasets-with-python-and-a-dependency-graph/
Posted by freeCodeCamp.org (1.2M followers) 4 h ago · 35 likes · 9.2k views · view the original post on X. Kept by the Dev Radar as Testing & observability.
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