Editing Binary classification (section)

==Four outcomes==

Given a classification of a specific data set, there are four basic combinations of actual data category and assigned category: [[true positive]]s TP (correct positive assignments), [[true negative]]s TN (correct negative assignments), [[false positive]]s FP (incorrect positive assignments), and [[false negative]]s FN (incorrect negative assignments).

{| class="wikitable"
! {{diagonal split header|Actual|Assigned}}
! Test outcome ''positive''
! Test outcome ''negative''
|-
! Condition positive
| align="center"| True ''positive''
| align="center"| False ''negative''
|-
! Condition negative
| align="center"| False ''positive''
| align="center"| True ''negative''
|}
These can be arranged into a 2×2 [[contingency table]], with rows corresponding to actual value – condition positive or condition negative – and columns corresponding to classification value – test outcome positive or test outcome negative.