Prioritizing bank customer retention

Version: 2026-09-21

The supplied benchmark contains customer account records. It supports a retrospective classification exercise; the project does not establish a future observation horizon or the causal effect of a retention offer.

A churn score does not establish which intervention will work. Evaluate on later customer cohorts, audit protected and proxy attributes, and measure incremental retention through a controlled campaign before claiming financial benefit.

Open the .nd project in Neural Designer. Its embedded data, parameters, saved sample roles and task report are preserved. If the original CSV path is unavailable, select the CSV included here. The source CSV may include unused columns; the embedded project defines the exact modelling schema.

The charts/ directory contains standalone HTML exported with the application chart builder. The schema and test-metrics files identify the exact inputs, outputs, evidence and source hash.

The original HTML expression is included unchanged. native-model.js contains the same mathematical functions extracted from it.
