UCI: Abalone
Science & Technology
Sep 25, 2017

Predict the age of abalone from physical measurements. This data set is sourced from the UCI Machine Learning Repository.

Attribute information:
Given is the attribute name, attribute type, the measurement unit and a brief description. The number of rings is the value to predict: either as a continuous value or as a classification problem.

  1. Sex: nominal; n/a; M, F, and I (infant)
  2. Length: continuous; mm; Longest shell measurement
  3. Diameter: continuous; mm; perpendicular to length
  4. Height: continuous; mm; with meat in shell
  5. Whole weight: continuous; grams; whole abalone
  6. Shucked weight: continuous; grams; weight of meat
  7. Viscera weight: continuous; grams; gut weight (after bleeding)
  8. Shell weight; continuous; grams; after being dried
  9. Rings: integer; n/a; +1.5 gives the age in years
Drag and drop files to add data source.