Evaluating response to a banking campaign

Version: 2026-09-21

This prepared version of the UCI Bank Marketing data contains 4,120 records. The local schema excludes call duration. Several fields contain missing values and use the application's mean imputation; this preprocessing was not fitted exclusively on the training subset.

Past campaign outcomes depend on who was contacted and when. A new campaign needs temporal validation, verified contact-time feature availability, calibration and an experiment measuring incremental conversions. Codes such as job and education are numeric in this supplied project; their order is a modelling assumption.

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://archive.ics.uci.edu/dataset/222/bank+marketing
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.
