Accuracy
Accuracy is a classification metric measuring the fraction of total predictions that the model got correct, calculated as the sum of correct predictions divided by all predictions.
Frequently Asked Questions
What is the formula for classification accuracy?▼
`Accuracy = (True Positives + True Negatives) / Total Predictions`.
Why can accuracy be a misleading metric?▼
On highly imbalanced datasets, accuracy fails. If a dataset has 99% negative cases and 1% positive cases, a model that classifies everything as negative is 99% accurate but is completely useless at detecting positive events.
Quick Facts
- CategoryMathematical Foundations
- Key ApplicationGeneral model evaluation, baseline performance tracking, and accuracy benchmarks.
Coverage Trend12 Weeks
Related AI Terms
Accuracy Media Coverage & Intelligence
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