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I exported my tree based regression model to PMML format. And based on this library I load the model file, evaluate it with unit cases and found its output score is quite different to the result when training.
Do you know the possible reasons? Thanks a lot
The text was updated successfully, but these errors were encountered:
shipengAlan
changed the title
The model output is quite different to the expected result.
The LightGBM model output is quite different to the expected result.
Feb 21, 2023
There are some models that could define output fields without the predicted value, for example only probabilities of each category, then if you expect all the possible results, you can call the method model.setSupplementOutput(true) to get all results including the final predicted value.
I exported my tree based regression model to PMML format. And based on this library I load the model file, evaluate it with unit cases and found its output score is quite different to the result when training.
Do you know the possible reasons? Thanks a lot
The text was updated successfully, but these errors were encountered: