This section describes main characteristics of the ANACALT data set and its attributes:
General information
Analizing Categorical Data (Supreme) data set |
Type | Regression | Origin | Real world |
Features | 7 | (Real / Integer / Nominal) | (7 / 0 / 0) |
Instances | 4052 | Missing values? | No |
Attribute description
Attribute | Domain |
Actions_taken | [0.0, 11.0] |
Liberal | [0.0, 1.0] |
Unconstitutional | [0.0, 1.0] |
Precedent_alteration | [0.0, 1.0] |
Unanimous | [0.0, 1.0] |
Year_of_decision | [1953.0, 1988.0] |
Lower_court_disagreement | [0.0, 1.0] |
Log_exposure | [0.0, 2.3] |
Additional information
This is one of the data sets used in the book Analyzing Categorical Data by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The data contains information about the decissions taken by a supreme court.
In this section you can download some files related to the ANACALT data set:
- The complete data set already formatted in KEEL format can be downloaded from
here.
- A copy of the data set already partitioned by means of a 5-folds cross validation procedure can be downloaded from here.
- The header file associated to this data set can be downloaded from here.
- This is not a native data set from the KEEL project. It has been obtained from the Analyzing Categorical Data website. The original page where the data set can be found is: http://pages.stern.nyu.edu/~jsimonof/AnalCatData/Data/.
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