When evidence is entered in a Bayesian network or Dynamic Bayesian network, the Probability (likelihood) of that evidence, denoted can be calculated.
The Probability of evidence indicates how likely it is that the network could have generated that data. The lower the value, the less likely.
Note: The Log Likelihood is also reported, as the can often report zero, due to underflow caused by the repeated multiplication of small probability values, using floating point arithmetic.
An example of zero likelihood:
Note: Log Likelihood values are often used to detect anomalous data.