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



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

General information

Nursery data set
TypeClassificationOriginReal world
Features 8(Real / Integer / Nominal)(0 / 0 / 8)
Instances12690 Classes5
Missing values?No

Attribute description

AttributeDomain
Parents{pretentious, great_pret, usual}
Has_nurs{critical, very_crit, less_proper, proper, improper}
Form{incomplete, foster, completed, complete}
Children{1, 3, more, 2}
Housing{critical, less_conv, convenient}
Finance{inconv, convenient}
Social{problematic, nonprob, slightly_prob}
Health{priority, not_recom, recommended}
Class{recommend, very_recom, spec_prior, priority, not_recom}

Additional information

This database was derived from a hierarchical decision model originally developed to rank applications for nursery schools. It was used during several years in 1980\'s when there was excessive enrollment to these schools in Ljubljana, Slovenia, and the rejected applications frequently needed an objective explanation. The task is to rank applications for a given nursery school.




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

  • The complete data set already formatted in KEEL format can 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/Nursery.


 
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