UCI: Car evaluation

Derived from simple hierarchical decision model, this data set may be useful for testing constructive induction and structure discovery methods. Evaluation is the predicted attribute. This dataset is sourced from the UCI Machine Learning Repository.

Attribute information:

  1. Buying: v-high, high, med, low
  2. Maintenance: v-high, high, med, low
  3. Doors: 2, 3, 4, 5-more
  4. Persons: 2, 4, more
  5. Lug_boot: small, med, big
    6: Safety: low, med, high
  6. Evaluation: unacc, acc, good, v-good
Sep 22, 2017
Sep 22, 2017
Economy & Business
IBM
BuyingMaintenanceDoorsPersonsLug_bootSafetyEvaluation
BuyingMaintenanceDoorsPersonsLug_bootSafetyEvaluation
vhighvhigh22smalllowunacc
vhighvhigh22smallmedunacc
vhighvhigh22smallhighunacc
vhighvhigh22medlowunacc
vhighvhigh22medmedunacc
vhighvhigh22medhighunacc
vhighvhigh22biglowunacc
vhighvhigh22bigmedunacc
vhighvhigh22bighighunacc
vhighvhigh24smalllowunacc
vhighvhigh24smallmedunacc
vhighvhigh24smallhighunacc
vhighvhigh24medlowunacc
vhighvhigh24medmedunacc
Drop file to add data source.