Predicting the age of abalone from physical measurements. The age of abalone is determined by cutting the shell through the cone, staining it, and counting the number of rings through a microscope -- a boring and time-consuming task. Other measurements, which are easier to obtain, are used to predict the age. Further information, such as weather patterns and location (hence food availability) may be required to solve the problem.
Source: UCL Machine Learning Repository
Image Source: http://archive.ics.uci.edu/ml/datasets/Abalone
Variants: Abalone
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Core set discovery | EvoCore | Uncovering Coresets for Classification With … | 2020-02-20 |
Recent papers with results on this dataset: