Table 4. Variables and metrics used in evaluation of model performance.
Metrics/Variable | Definition |
---|---|
n | Total number of data sets |
c1true | Number of data sets for infants with IVH |
c2true | Number of data sets for infants without IVH |
c1method | Number of data sets classified by the ML-method as of infants with IVH |
c2method | Number of data sets classified by the ML-method as of infants without IVH |
n1 | c1true × c1method/n |
n2 | c2true × c2method/n |
Expected accuracy (EA) | (n1 + n2)/n |
Observed accuracy (OA) | Number of correctly identified data sets/n |
Cohen’s kappa | (OA-EA)/(1-EA) |
Mean accuracy | Mean value of OA |
n1true | Number of correctly identified data sets for infants with IVH |
n2true | Number of correctly identified data sets for infants without IVH |
Sensitivity | n1true/c1true |
Specificity | n2true/c2true |