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