This is an artificial dataset consisting of fictional clients who have been audited, perhaps for tax refund compliance. For each case an outcome is recorded (whether the taxpayer's claims had to be adjusted or not) and any amount of adjustment that resulted is also recorded.
A data frame containing:
| Age | Numeric |
| Employment | Categorical string with 7 levels |
| Education | Categorical string with 16 levels |
| Marital | Categorical string with 6 levels |
| Occupation | Categorical string with 14 levels |
| Income | Numeric |
| Sex | Categorical string with 2 levels |
| Deductions | Numeric |
| Hours | Numeric |
| Accounts | Categorical string with 32 levels |
| Adjustment | Numeric |
| Adjusted | Numeric value 0 or 1 |
Togaware rattle package : Audit dataset
data(audit, package = "pmml")