accuracy concept
| Definition | The fraction of all rows a classifier labels correctly, the score most easily fooled, since predicting the majority class for every row scores the majority's share. Balanced accuracy averages the per-class recalls instead. Primer S section S.9. |
|---|---|
| Example | On 1000 rows with 50 positives, calling every row negative scores 0.95. |
| Book | Data Mining as Observation, draft 0.2, commit f3914f0; entry id accuracy, kind concept. |
| Status | no ledger row names this entry. Corrections: none recorded. |
| Defining equation | none |
| Assumptions and scope | none |
| Prior art | none recorded |
| Evidence | none |
| Reviewed | semantic review 2026-09-09; generated 2026-09-10 from records at the commits on the provenance page. |
Equation
none
Conditions
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Ledger
none
First stated
Primer S section S.9 of Data Mining as Observation, added in draft 0.3 (2026-09-09) for the ECE 514 readers whose first courses are far behind. The idea is standard and TSK Appendix C covers it at length.
Measurements
none
Failures and corrections
none
Invariance envelope
none declared
Machine checked
none
Used in
Data Mining as Observation primer S, chapters 0, 1, 6, 8, 10, 11, 12, 14.
Related
confusion matrix; base rate; balanced accuracy.
See also
none
Status
Generated 2026-09-10 by encyclopedia/generate.py; book
at observation-data-mining f3914f0; the commit of every record is listed
in the encyclopedia’s provenance.