The confidence communicates how confident your model accurately identified and labeled each entity. The higher the number, the higher the model's confidence in the correctness of the prediction.
Example batch prediction output
The following sample is the predicted result for an entity extraction model that
was trained to detect diseases. The offsets (start and end character offsets)
specify the location where the model detected an entity in the document, and the
content
field shows the detected entity.
The display names show the labels that the model associated with each entity,
such as SpecificDisease
or DiseaseClass
. The labels map to the text segments
in order.
{ "key": 1, "predictions": { "ids": [ "1234567890123456789", "2234567890123456789", "3234567890123456789" ], "displayNames": [ "SpecificDisease", "DiseaseClass", "SpecificDisease" ], "textSegmentStartOffsets": [13, 40, 57], "textSegmentEndOffsets": [29, 51, 75], "confidences": [ 0.99959725141525269, 0.99912621492484128, 0.99935531616210938 ] } }