Get Started with Redwood for Oracle Cloud HCM Begin Now
To ensure that questions get required attention from community members and are NOT left unanswered, it’s important for the author to indicate (by selecting “Yes” or “No” when prompted) whether the question was answered. (newly added) Please note that it is also important to respond to EACH comment your question receives. Your Yes or No response ensures an accurate status for your question.
For more information, please refer to this announcement explaining best practices for getting answers to questions.
For more information, please refer to this announcement explaining best practices for getting answers to questions.
What mechanisms should we review to improve the Predictive Performance model’s accuracy
Summary:
Our Predictive Voluntary Termination model accuracy is 98%, whereas the Predicted Performance model accuracy is at 38%. What mechanisms should we review to improve the model’s accuracy for performance
Content (required):
Our HCM application has the following:
- Over 6 years of performance data, with 20+ years of assignment history
- Our performance and termination prediction model is using over 30 attributes
- All performance documents are closed and our performance document completion rate is over 80%
- We have run the predictive model over 10 times
Version (include the version you are using, if applicable):
22A
Code Snippet (add any code snippets that support your topic, if applicable):
0