What is False Negative

1.

Model prediction that the target variable has a value of 0 when it really has a value of 1. Learn more in: Visualization of Predictive Modeling for Big Data Using Various Approaches When There Are Rare Events at Differing Levels

2.

Wrongfully deem digital footprints as irrelevant and therefore exclude them from analysis. Learn more in: Cyber Profiling in Criminal Investigation

3.

A False Negative case appears when an existing phenomenon is not reported or missed respectively, due to any kind of failure. Learn more in: Autonomous Execution of Reliable Sensor Network Applications on Varying Node Hardware

4.

A false negative happens when an element is a member of the set that a Bloom filter represents but the Bloom filter mistakenly reports it is not. A standard Bloom filter has no false negatives. However, in a distributed system, a Bloom filter replica can generate false negatives when the replica is not timely updated. Learn more in: Efficient Update Control of Bloom Filter Replicas in Large Scale Distributed Systems

5.

This occurs when there is an attack and the product does not raise an alarm. Obviously, this case is problematic because the intruder’s action can go completely unnoticed. Learn more in: The Role of Data Mining in Intrusion Detection Technology