Lymphography: The Lymphography Domain Data Set (UCI)

In arulesCBA: Classification Based on Association Rules

The Lymphography Domain Data Set (UCI)

Description

This is lymphography domain obtained from the University Medical Centre, Institute of Oncology, Ljubljana, Yugoslavia. It was repeatedly used in the machine learning literature.

Format

A data frame with 147 observations on the following 19 variables.

class

a factor with levels normalfind metastases malignlymph fibrosis

lymphatics

a factor with levels normal arched deformed displaced

blockofaffere

a factor with levels no yes

bloflymphc

a factor with levels no yes

bloflymphs

a factor with levels no yes

bypass

a factor with levels no yes

extravasates

a factor with levels no yes

regenerationof

a factor with levels no yes

earlyuptakein

a factor with levels no yes

lymnodesdimin

a factor with levels 0 1 2 3

lymnodesenlar

a factor with levels 1 2 3 4

changesinlym

a factor with levels bean oval round

defectinnode

a factor with levels no lacunar lacmarginal laccentral

changesinnode

a factor with levels no lacunar lacmargin laccentral

changesinstru

a factor with levels no grainy droplike coarse diluted reticular stripped faint

specialforms

a factor with levels no chalices vesicles

dislocationof

a factor with levels no yes

exclusionofno

a factor with levels no yes

noofnodesin

a factor with levels 0-9 10-19 20-29 30-39 40-49 50-59 60-69 >=70

Source

The data set was obtained from the UCI Machine Learning Repository at http://archive.ics.uci.edu/ml/datasets/Lymphography.

References

This lymphography domain was obtained from the University Medical Centre, Institute of Oncology, Ljubljana, Yugoslavia. Thanks go to M. Zwitter and M. Soklic for providing the data. Please include this citation if you plan to use this database.

Examples

data("Lymphography")

summary(Lymphography)

arulesCBA documentation built on May 29, 2024, 11:49 a.m.