Examining interest in a vehicle-insurance offer

Version: 2026-09-21

The supplied cross-sell dataset contains 381,109 records. Its category order is interested, not-interested, so the native output is a score for not-interested. Interested customers occupy the low-score end. The distinction is retained in the ROC, rate charts, confusion counts and calculator.

Campaign profit is not established here. The exported profit task uses the opposite class from the intended conversion and its sample-ratio output is not valid, so that chart is excluded. Validate contact-time availability, calibration and uplift in a later campaign; include actual conversion value and intervention cost only after the target direction is correct.

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.

Dataset source: https://www.kaggle.com/anmolkumar/health-insurance-cross-sell-prediction
Retain the source attribution and its applicable dataset terms.

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