Performance measures for image classification
4 important questions on Performance measures for image classification
What is a single-value performance measure?
Name three single-value measures and how they work
- F-score: Harmonic mean of precision and recall (2PR)/(P+R)
- Receiver-Operating Characteristic (ROC), R vs P (x vs y) (curve based)
- Fix precision or recall at a certain value (curve based)
What is the accuracy in classification?
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How is the accuracy measure short-sided in describing the quality of a binary classifier? Give two
- Skewness in class distribution causes the accuracy to describe dominantly about the most prevalent (majority) class(es)
- Some misclassification may be worse than others, yet cannot be capsulated in this measure.
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