Machine Learning on Classification: Model Accuracy vs. Probability
Summary:
Machine Learning on Classification: Model Accuracy vs. Probability. How to raise the value?
Content (please ensure you mask any confidential information):
We are testing Machine Learning on Classification. Results for the first few rounds were ok. It is just that neither model accuracy (30%+ only) nor probability (3%+ only) is high.
We have been scratching our heads wondering
- the detailed description of both
- is there thresholds to tell if both of them are up to the standard
- how to raise the value of both
Advice?
Version (include the version you are using, if applicable):
26a
Code Snippet (add any code snippets that support your topic, if applicable):
Tagged:
0