NER_Tagger_Model_Training Question

Hi :slight_smile:
I’m study in EXAMPLES->08_Other_Analytics_Types->Text Processing->14_NER_Tagger_Model_Training.
And StanfordNLP NE Scorer Node shows FP equals 19,but Reference Row Filter shows there is 15 names are predicted. I think these two numbers should be the same, and I don’t know why the one is 19 and another is 15.

Thank you!

Hey @condor,

the scorer node shows the total number of false positives (or in this case newly tagged entities). This means it counts all occurrences of these entities. We have 15 new entities, but some of them were tagged multiple times, so that it sums up to 19.



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