UCI: Abalone

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
Sep 25, 2017
Sep 25, 2017
Science & Technology
IBM
SexLengthDiameterHeightWhole weightShucked weightViscera weightShell weightRings
SexLengthDiameterHeightWhole weightShucked weightViscera weightShell weightRings
M0.4550.3650.0950.5140.22450.1010.1515
M0.350.2650.090.22550.09950.04850.077
F0.530.420.1350.6770.25650.14150.219
M0.440.3650.1250.5160.21550.1140.15510
I0.330.2550.080.2050.08950.03950.0557
I0.4250.30.0950.35150.1410.07750.128
F0.530.4150.150.77750.2370.14150.3320
F0.5450.4250.1250.7680.2940.14950.2616
M0.4750.370.1250.50950.21650.11250.1659
F0.550.440.150.89450.31450.1510.3219
F0.5250.380.140.60650.1940.14750.2114
M0.430.350.110.4060.16750.0810.13510
M0.490.380.1350.54150.21750.0950.1911
F0.5350.4050.1450.68450.27250.1710.20510
F0.470.3550.10.47550.16750.08050.18510
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