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Table 1 Definitions of four classified and re-classified categories generated by a binary classifier

From: A novel model to label delirium in an intensive care unit from clinician actions

Classification group

Has delirium ICD-9 code

Model predicts delirium

Double-Positives

Yes

Yes

Reclassified-Positives

No

Yes

Reclassified-Negatives

Yes

No

Double-Negatives

No

No

  1. For any binary classifier with less than 100% accuracy, model testing results in some degree of reclassification of positives and/or negatives, generating four groups. For example, some admissions with an ICD-9 code for delirium are labeled as negative by the model, leading to re-classification
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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