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False negative is when a model output fails to predict a condition or attribute when one is present. For example, failing to predict a shock when one does occur.
« Back to Glossary IndexFalse negative is when a model output fails to predict a condition or attribute when one is present. For example, failing to predict a shock when one does occur.