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Machine Learning: Prediction On Random Forest Tree Is Slow (Doc ID 2780390.1)

Last updated on NOVEMBER 09, 2021

Applies to:

Oracle Data Mining - Version and later
Information in this document applies to any platform.


SQL query against large Random Forest mining model takes too long

Predicting from a created random forest tree model is very slow.

A query with 1 or about 1 Million rows takes up to 10 minutes, Query is expected to run within seconds,

The data mining scoring code uses SQL operators (PREDICTION_SET, FEATURE_SET,CLUSTER_SET) that return VARRAYs of objects,

The unnesting operation is a serial bottleneck and does not parallelize. This represents a serious performance issue.




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