For the query “suspicious.low.ml.score”, it seems like you are referring to a machine learning model score that indicates a low level of suspicion. Below is an example of how you can interpret and use this score:
Example
Let’s say you have a fraud detection system that uses machine learning algorithms to determine the likelihood of a transaction being fraudulent. The system assigns a suspiciousness score to each transaction, ranging from 0 to 1.
In this case, a score of “suspicious.low.ml.score” indicates a low level of suspicion for a transaction. This means that the model has determined the transaction to be less likely to be fraudulent.
For instance, if a transaction has a suspiciousness score of 0.2, it would be considered a “suspicious.low.ml.score” transaction. This score suggests that the transaction is not very suspicious and can be considered as a legitimate transaction.
However, it’s important to note that the interpretation of the suspiciousness score may vary depending on the specific context and threshold set by the fraud detection system. You should consult the documentation or guidelines provided with the system to understand the precise meaning of the “suspicious.low.ml.score” label in your particular case.
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