Selecting and Interpreting Measures of Thematic Classification Accuracy¶
Stehman, S. V. (1997). Selecting and Interpreting Measures of Thematic Classification Accuracy. Remote Sensing of Environment, 62(1), 77-89.
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1 citation across 1 artifact.
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Mechanisms¶
- Source Confusion Matrix Review
- Collapsing it to a single accuracy figure hides the one off-diagonal cell that matters — a 95%-correct system can still be systematically laundering simulations into measurements in the dangerous 5%.
This sourceExplains that overall accuracy is only one summary of an error matrix and can conceal category-specific misclassification patterns represented in off-diagonal cells.
- Collapsing it to a single accuracy figure hides the one off-diagonal cell that matters — a 95%-correct system can still be systematically laundering simulations into measurements in the dangerous 5%.
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