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Data · towardsdatascience.com · Friday, 7 August 2026

Fall-Detection Model’s 94% Accuracy Was a Mirage; Leak Cut It to 69%

The author discovered that random frame-level train_test_split caused data leakage, inflating accuracy from 69% to 94% on a fall detection system using MediaPipe Pose and Random Forest. By grouping splits per video, the honest performance dropped 25 points, highlighting a common pitfall in sequential data pipelines and the need for proper evaluation design.

Read the source: towardsdatascience.com ↗In the 7 August issue →