This section describes main characteristics of the hayes-roth data set and its attributes:
General information
Hayes-Roth Multi-class Imbalanced data set |
Type | Imbalanced | Origin | Laboratory |
Features | 4 | (Real / Integer / Nominal) | (0 / 4 / 0) |
Instances | 132 |
IR | 1.7 |
% Positive instances | 37.04 | % Negative instances | 62.96 | Missing values? | No |
Attribute description
Attribute | Domain |
hobby | [1, 3] |
age | [1, 4] |
educationalLevel | [1, 4] |
maritalStatus | [1, 4] |
class | {1,2,3} |
Additional information
An imbalanced version of the Hayes-Roth data set, where there are some classes with a small number of examples while other classes have a large number of examples.
In this section you can download some files related to the hayes-roth 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.
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