h2. Binary evaluation method

We use _sensitivity_ and _specificity_ as statistical measures of the performance of the binary classification test where

_Sensitivity_ = Σ true different / (Σ true different \+ Σ false similar)

and

_Specificity_ = Σ true similar / (Σ true similar \+ Σ false different)

and the F-measure is calculated on this basis as shown in the table below:

This is one suggested way which is nicely applicable if we test for binary correctness of calculations, i.e. it is applicable for characterisation and QA

We use _sensitivity_ and _specificity_ as statistical measures of the performance of the binary classification test where

_Sensitivity_ = Σ true different / (Σ true different \+ Σ false similar)

and

_Specificity_ = Σ true similar / (Σ true similar \+ Σ false different)

and the F-measure is calculated on this basis as shown in the table below:

This is one suggested way which is nicely applicable if we test for binary correctness of calculations, i.e. it is applicable for characterisation and QA