Use case on the abalone dataset

Dataset abalone

Machine Learning Task: Regression

This is Abalone data. 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. There are other, easier to obtain measurements to predict the age. Further information can be used, such as weather patterns and location (hence food availability).

Available at OpenML:

Category: Animals

# Rows: 4,177 # Columns: 8

Target: Class_number_of_rings


Numeric: Length, Diameter, Height, Whole_weight, Shucked_weight, Viscera_weight, Shell_weight

Nominal: Sex

Machine Learning Use Case Animals

Root Mean Square Error (RMSE)

Abalone Rmse

Mean Absolute Error (MAE)

Abalone Mae

Coefficient of Determination (R2)

Abalone R2

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