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📊 Imbalanced Data Lab — Why 99% Accuracy Can Mean 0% Recall

Skew a dataset toward one class and watch a classifier's accuracy stay high while it silently misses almost every minority-class case — then fix it with class weighting or oversampling.

AI & Machine Learning3DAdvanced60 FPS📱 Mobile-adapted
imbalanced-data-lab ↗ Open standalone
⚙ Under the hood

Skew a dataset toward one class and watch a classifier's accuracy stay high while it silently misses almost every minority-class case — then fix it with class weighting or oversampling.

machine learningdata imbalanceclassificationaccuracyrecalloversamplingThree.js

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install

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