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
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Adaptive Linear and Normalized Combination of Radial Basis Function Networks for Function Approximation and Regression
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Using Gaussian Measures for Efficient Constraint Based Clustering
By Chandrima Sarkar, Atanu Roy
Learning on Probabilistic Labels
By Peng Peng, Raymond Wong, Philip Yu
Enhancements of Multi-class Support Vector Machine Construction from Binary Learners using Generalization Performance
By Patoomsiri Songsiri, Thimaporn Phetkaew, Boonserm Kijsirikul