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KEEL-dataset - data set description

This section describes main characteristics of the dermatology data set and its attributes:

General information

Dermatology data set
TypeClassificationOriginReal world
Features 34(Real / Integer / Nominal)(0 / 34 / 0)
Classes 6 Missing values? Yes
Total instances 366 Instances without missing values 358

Attribute description


Additional information

The differential diagnosis of erythemato-squamous diseases is a real problem in dermatology. Patients were first evaluated clinically with 12 features. Afterwards, skin samples were taken for the evaluation of 22 histopathological features.

In the dataset constructed for this domain, the family history feature has the value 1 if any of these diseases has been observed in the family, and 0 otherwise. The age feature simply represents the age of the patient. Every other feature (clinical and histopathological) was given a degree in the range of 0 to 3. Here, 0 indicates that the feature was not present, 3 indicates the largest amount possible, and 1, 2 indicate the relative intermediate values.

In this section you can download some files related to the dermatology data set:

  • The complete data set already formatted in KEEL formatcan be downloaded from herezip.gif.

  • A copy of the data set already partitioned by means of a 10-folds cross validation procedure can be downloaded from herezip.gif.

  • A copy of the data set already partitioned by means of a 5-folds cross validation procedure can be downloaded from herezip.gif.

  • The header file associated to this data set can be downloaded from heretxt.png.
  • This is not a native data set from the KEEL project. It has been obtained from the UCI Machine Learning Repository . The original page where the data set can be found is:

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