Churn risk scoring with decision models
Scoring accounts or users for churn risk from support history, usage notes and conversations so retention teams can act early.
3 public projects
Combines Jev judgments on row text with a tabular foundation model like TabPFN to predict outcomes from few labels.
LibraryprototypePythonTabular classifier that learns which slices of labeled rows and columns to send Jev or LAYA, stopping when it has enough.
ProjectresearchPythonCommunity Jev cookbook with 10 runnable examples, composition patterns, theory notes and a list of 120+ use cases.
ProjectPython