Abalone
Abstract
Predict the age of abalone from physical measurements
Purpose
Additional Information 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. From the original data examples with missing values were removed (the majority having the predicted value missing), and the ranges of the continuous values have been scaled for use with an ANN (by dividing by 200).
| Name | Role | Type | Description | Missing |
|---|---|---|---|---|
| Sex | Feature | Categorical | M, F, and I (infant) | No |
| Length | Feature | Real | Longest shell measurement | No |
| Diameter | Feature | Real | perpendicular to length | No |
| Height | Feature | Real | with meat in shell | No |
| Whole Weight | Feature | Real | whole abalone | No |
| Shucked Weight | Feature | Real | weight of meat | No |
| Viscera Weight | Feature | Real | gut weight (after bleeding) | No |
| Shell Weight | Feature | Real | after being dried | No |
| Rings | Target | Integer | +1.5 gives the age in years | No |
Papers Citing this Dataset
56 papers found
Rank correlated subgroup discovery
By Mohamed Hammal, Hélène Mathian, Luc Merchez, Marc Plantevit, Céline Robardet
Hybrid Forest: A Concept Drift Aware Data Stream Mining Algorithm
By Radin Rad, Maryam Haeri
Custodes: Auditable Hypothesis Testing
By Sacha Servan-Schreiber, Olga Ohrimenko, Tim Kraska, Emanuel Zgraggen
Optimal Subspace Estimation Using Overidentifying Vectors via Generalized Method of Moments
By Jianqing Fan, Yiqiao Zhong
Taking advantage of hybrid bioinspired intelligent algorithm with decoupled extended Kalman filter for optimizing growing and pruning radial basis function network
By Zhilei Chai, Wei Song, Qinxin Bao, Feng Ding, Fei Liu