CINA

A marketing dataset

• Authors: Causality workbench team
• Key facts: Number of variables: 132 (demographic data) + one binary target variable .
  Number of examples: training 16033 + 3 test sets of 10000 examples corresponding to unmanipulated data and 2 different types of manipulations.
  Variable types: mixed. Some variables are real and other artificial (probes).
  Missing data: no.
• Keywords: probe.method, marketing
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• Pot luck task proposed: LOCANET

Abstract:

CINA (Census Is Not Adult) is derived from census data (the UCI machine-learning repository Adult database). The data consists of census records for a number of individuals. The causal discovery task is to uncover the socio-economic factors affecting high income (the target value indicates whether the income exceeds 50K).

For the pot-luck challenge, the task proposed is to discover the causal network in the neighborhood of the target.

None yet.