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KEEL-dataset - data set description
dataset/images/wisconsin.jpg



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

General information

Breast Cancer Wisconsin (Original) data set
TypeClassificationOriginReal world
Features 9(Real / Integer / Nominal)(0 / 9 / 0)
Classes 2 Missing values? Yes
Total instances 699 Instances without missing values 683

Attribute description

AttributeDomain
ClumpThickness[1, 10]
CellSize[1, 10]
CellShape[1, 10]
MarginalAdhesion[1, 10]
EpithelialSize[1, 10]
BareNuclei[1, 10]
BlandChromatin[1, 10]
NormalNucleoli[1, 10]
Mitoses[1, 10]
Class{2,4}

Additional information

This dataset contains cases from a study that was conducted at the University of Wisconsin Hospitals, Madison, about patients who had undergone surgery for breast cancer. The task is to determine if the detected tumor is benign (2) os malignant (4).

To asses the data to classification process, the first attribute of the original data set (the sample code number) has been removed in this version.




In this section you can download some files related to the wisconsin 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: http://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Original%29.


 
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