Oracle Analytics and AI

Supplier On-time Payment Prediction. Subject area details

HI All, We need more clarity on the On-time payment prediction columns , So far we have only found a fried definition on the documentation:

https://docs.oracle.com/en/cloud/saas/analytics/24r3/faiae/machine-learning-applications.html#GUID-B2FBC460-7105-48F4-A0ED-B132DA0966CA

Where could we find details on how these are calculated?

We tried looking into the calculation logic reference files but these were not included: https://docs.oracle.com/en/cloud/saas/analytics/24r3/downloadfiles.html

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JohnW-Oracle

Hi @Victor H ,

Did you see the section under Machine Learning Applications here: https://docs.oracle.com/en/cloud/saas/analytics/24r3/faiae/machine-learning-applications.html#GUID-D3B13913-71F2-4745-BB9F-10248A53848B .

This is the latest version of the documentation and its got very descriptive section on Supplier On-time Payments Prediction, the prereqs, the configuration parameters, etc.

The last part of the FAQ sections asks:
What algorithms does the prediction model use?

The algorithms used is a proprietary multi-classification algorithm.

Regards,

John

Victor H

Thanks @JohnW-Oracle .

We are looking for the list of features that goes into this model. We are aware that these are proprietary but would be helpful if you could share the algorithm family (e.g. Random Forest, XGBoost, etc)

This is to support a decision to go with prebuilt model vs build our own.