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Machine Learning Metrics Cheat Sheet

A cheat sheet showing the key metrics to track for major AI use cases, like dataset balance, bounding box accuracy, and object detection. Find your use case and see which metrics matter most.

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About the machine learning metrics cheat sheet

What it’s for

The flowchart shows common task types like classification, detection, segmentation, drift monitoring, and calibration, and maps them to the most relevant metrics. It helps you quickly pick the ones that matter most.

What it’s for

  • A slide highlighting the 10 most popular metrics, their formulas, and the use cases where they matter most.
  • File size: 400 KB
  • Format: PDF